{"id":6477,"date":"2026-11-11T10:08:35","date_gmt":"2026-11-11T10:08:35","guid":{"rendered":"https:\/\/brandmentions.com\/blog\/?p=6477&#038;preview=true&#038;preview_id=6477"},"modified":"2026-11-11T10:08:35","modified_gmt":"2026-11-11T10:08:35","slug":"social-listening-tools-threads","status":"publish","type":"post","link":"https:\/\/brandmentions.com\/blog\/social-listening-tools-threads\/","title":{"rendered":"Best Social Listening Tools for Threads in 2026: Coverage, Pricing &#038; Limits"},"content":{"rendered":"<p><strong><em>Quick answer: The best social listening tools for Threads help you find public posts mentioning your brand, competitors or industry keywords even when nobody tags your account. Among the tools reviewed, Brand24, Hootsuite\u2019s Lumen, Sprinklr and Statusbrew publish documentation describing Threads keyword listening. <\/em><\/strong><\/p>\n<p>Choosing the right tool starts with understanding what it actually monitors: public keyword matches, direct @mentions or activity on your own account. This guide compares Threads monitoring capabilities, pricing and limitations, alongside broader social listening options such as BrandMentions, to help you choose the right fit for your team.<\/p>\n<p><em><strong>Disclosure:<\/strong> This guide is published by BrandMentions, which is one of the tools reviewed. For that reason BrandMentions is not given a numeric rating anywhere in this article, and it is not ranked first on documented Threads sourcing, because it does not publish a separate Threads data path. Where it leads, the reasoning is stated and checkable.<\/em><\/p>\n<h2 id=\"at-a-glance-best-threads-listening-tools-by-use-case\">Best Threads Listening Tools by Use Case<\/h2>\n<ul>\n<li><strong>Best for mention detection and crisis alerting:<\/strong> BrandMentions - Threads sits inside one cross-channel project with news, blogs, forums, reviews and video, and real-time updates are available on Expert and Enterprise plans, while Starter updates daily and Pro updates hourly. Buy it when the decision you need to make is a response decision.<\/li>\n<li><strong>Best documented mid-market Threads listener:<\/strong> Brand24 - the help center states exactly how collection works and what is missing, and it searches your monitored keywords in public Threads content, including matching replies returned by Threads search, with sentiment analysis.<\/li>\n<li><strong>Best enterprise Threads keyword search with real backdata:<\/strong> Hootsuite Lumen - the only vendor publishing a specific Threads backfill allowance, though Instagram, Threads, LinkedIn and Reddit listening need the Enterprise tier, Lumen by Talkwalker.<\/li>\n<li><strong>Best for enterprises that need governance, care and listening in one record:<\/strong> Sprinklr - Threads Integration enables keyword and topic tag based listening on Threads, allowing you to monitor public posts and listen to defined topics directly within Sprinklr, with the caveat that keyword access is still gated.<\/li>\n<li><strong>Best for PR and comms teams reporting Threads next to earned media:<\/strong> Meltwater or Onclusive Social - media intelligence first, Threads as one input into a narrative rather than the product's centre.<\/li>\n<li><strong>Best budget route to publishing plus real Threads keyword listening:<\/strong> Statusbrew - listening starts at the Premium tier with published search and conversation allowances instead of a sales call.<\/li>\n<li><strong>Best for engineers who want compliance and full field-level control:<\/strong> Meta's Threads API directly - free, official, and the only way to audit what any vendor claims it returns.<\/li>\n<li><strong>Best for research teams that need structured Threads data fast:<\/strong> Apify - pay-per-result Threads actors with a free plan whose $5 of monthly credit covers about 2,500 posts.<\/li>\n<li><strong>Best for visual brand detection, if Threads is not your only source:<\/strong> YouScan - the strongest image recognition in the category, but Threads is not named as a monitored source in its public documentation.<\/li>\n<\/ul>\n<h2 id=\"the-2026-threads-listening-comparison-table\">The 2026 Threads Listening Comparison Table<\/h2>\n<p>Tools are grouped by documented coverage: public keyword listening, owned-account and @mention monitoring, coverage requiring confirmation, and raw data access.<\/p>\n<table style=\"width: 1009px;\">\n<thead>\n<tr>\n<th style=\"width: 27px;\" align=\"right\">#<\/th>\n<th style=\"width: 151px;\">Tool<\/th>\n<th style=\"width: 130px;\">Threads coverage type<\/th>\n<th style=\"width: 128px;\">Untagged keyword mentions<\/th>\n<th style=\"width: 109px;\">Sentiment<\/th>\n<th style=\"width: 113px;\">Published Threads history<\/th>\n<th style=\"width: 113px;\">Refresh \/ alert latency<\/th>\n<th style=\"width: 129px;\" align=\"right\">Starting price<\/th>\n<th style=\"width: 109px;\">Third-party rating<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"width: 27px;\">\u00a01<\/td>\n<td style=\"width: 151px;\">BrandMentions<\/td>\n<td style=\"width: 130px;\">Broad public social and web monitoring, Threads path not separately published<\/td>\n<td style=\"width: 128px;\">Yes, keyword-based across public sources<\/td>\n<td style=\"width: 109px;\">Yes, LLM-based with sarcasm detection<\/td>\n<td style=\"width: 113px;\">30 days on new non-Enterprise projects, up to 10 years on Enterprise<\/td>\n<td style=\"width: 113px;\">Daily \/ hourly \/ real time by plan<\/td>\n<td style=\"width: 129px;\" align=\"right\">$99\/mo billed quarterly<\/td>\n<td style=\"width: 109px;\">4.9 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">2<\/td>\n<td style=\"width: 151px;\">Hootsuite Lumen<\/td>\n<td style=\"width: 130px;\">Documented keyword search, Enterprise only<\/td>\n<td style=\"width: 128px;\">Yes on Enterprise<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 113px;\">400 days, up to 5,000 posts<\/td>\n<td style=\"width: 113px;\">Not published for Threads<\/td>\n<td style=\"width: 129px;\" align=\"right\">Enterprise quote required<\/td>\n<td style=\"width: 109px;\">4.3 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">3<\/td>\n<td style=\"width: 151px;\">Sprinklr<\/td>\n<td style=\"width: 130px;\">Documented keyword and topic tag listening, Limited Availability<\/td>\n<td style=\"width: 128px;\">Yes, once enabled<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 113px;\">Not published for Threads<\/td>\n<td style=\"width: 113px;\">Real-time language in docs<\/td>\n<td style=\"width: 129px;\" align=\"right\">Pricing on request<\/td>\n<td style=\"width: 109px;\">4.3 Insights \/ 4.1 Social (G2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">4<\/td>\n<td style=\"width: 151px;\">Statusbrew<\/td>\n<td style=\"width: 130px;\">Documented keyword listening<\/td>\n<td style=\"width: 128px;\">Yes<\/td>\n<td style=\"width: 109px;\">Yes on Premium<\/td>\n<td style=\"width: 113px;\">Collection while active<\/td>\n<td style=\"width: 113px;\">Real-time language in docs<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $229\/mo annually<\/td>\n<td style=\"width: 109px;\">Varies by source<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">5<\/td>\n<td style=\"width: 151px;\">Brand24<\/td>\n<td style=\"width: 130px;\">Documented keyword listening via connected account<\/td>\n<td style=\"width: 128px;\">Yes, posts and matching replies<\/td>\n<td style=\"width: 109px;\">Yes, all plans<\/td>\n<td style=\"width: 113px;\">None before connection<\/td>\n<td style=\"width: 113px;\">12h \/ 1h \/ real time by plan<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $199\/mo annually<\/td>\n<td style=\"width: 109px;\">4.6 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">6<\/td>\n<td style=\"width: 151px;\">Brandwatch<\/td>\n<td style=\"width: 130px;\">Documented owned content and @brand mentions<\/td>\n<td style=\"width: 128px;\">Direct mentions documented; keyword breadth depends on product access<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 113px;\">400 days owned, 14 days brand mentions<\/td>\n<td style=\"width: 113px;\">Up to 15 minutes<\/td>\n<td style=\"width: 129px;\" align=\"right\">Pricing on request<\/td>\n<td style=\"width: 109px;\">4.4 Consumer Intelligence \/ 4.2 seller<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">7<\/td>\n<td style=\"width: 151px;\">Meltwater<\/td>\n<td style=\"width: 130px;\">Documented Threads connection, listening scope caveated<\/td>\n<td style=\"width: 128px;\">Partial, depends on monitored setup<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 113px;\">Not published<\/td>\n<td style=\"width: 113px;\">15-minute polling in connection docs<\/td>\n<td style=\"width: 129px;\" align=\"right\">Pricing on request<\/td>\n<td style=\"width: 109px;\">4.1 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">8<\/td>\n<td style=\"width: 151px;\">Onclusive Social<\/td>\n<td style=\"width: 130px;\">Threads named, method not published<\/td>\n<td style=\"width: 128px;\">Vendor claim, not documented<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 113px;\">24 months, platform-wide<\/td>\n<td style=\"width: 113px;\">Real-time wording in product pages<\/td>\n<td style=\"width: 129px;\" align=\"right\">Pricing on request<\/td>\n<td style=\"width: 109px;\">4.5 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">9<\/td>\n<td style=\"width: 151px;\">YouScan<\/td>\n<td style=\"width: 130px;\">Threads not named in public docs<\/td>\n<td style=\"width: 128px;\">Not verified for Threads<\/td>\n<td style=\"width: 109px;\">Yes, aspect-level<\/td>\n<td style=\"width: 113px;\">Social Search uses a 1% sample from September 2022<\/td>\n<td style=\"width: 113px;\">10 min to 1h by channel<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $499\/mo annually<\/td>\n<td style=\"width: 109px;\">4.7 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">10<\/td>\n<td style=\"width: 151px;\">Sprout Social<\/td>\n<td style=\"width: 130px;\">Threads profile support; Listening FAQ does not name Threads<\/td>\n<td style=\"width: 128px;\">Not verified for Threads Listening<\/td>\n<td style=\"width: 109px;\">Yes, in Listening<\/td>\n<td style=\"width: 113px;\">Not published<\/td>\n<td style=\"width: 113px;\">Not established<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $79\/seat\/mo; Listening from Standard, quote-only<\/td>\n<td style=\"width: 109px;\">4.4 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">11<\/td>\n<td style=\"width: 151px;\">Agorapulse<\/td>\n<td style=\"width: 130px;\">Threads publishing, inbox and reporting; Threads absent from Advanced Listening source list<\/td>\n<td style=\"width: 128px;\">Not verified for Threads<\/td>\n<td style=\"width: 109px;\">In listening add-on<\/td>\n<td style=\"width: 113px;\">1 to 24 months retention by tier<\/td>\n<td style=\"width: 113px;\">Not published for Threads<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $79\/user\/mo annually<\/td>\n<td style=\"width: 109px;\">4.5 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">12<\/td>\n<td style=\"width: 151px;\">Vista Social<\/td>\n<td style=\"width: 130px;\">Management support; Threads not named as external listening source<\/td>\n<td style=\"width: 128px;\">Not verified for Threads<\/td>\n<td style=\"width: 109px;\">Yes, in listener reports<\/td>\n<td style=\"width: 113px;\">Not published<\/td>\n<td style=\"width: 113px;\">Not published<\/td>\n<td style=\"width: 129px;\" align=\"right\">From $99\/mo, listening add-on from $75\/mo<\/td>\n<td style=\"width: 109px;\">4.8 (G2 product)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">13<\/td>\n<td style=\"width: 151px;\">Meta Threads API<\/td>\n<td style=\"width: 130px;\">Raw data access, official<\/td>\n<td style=\"width: 128px;\">Yes, with approved permission<\/td>\n<td style=\"width: 109px;\">No, raw text<\/td>\n<td style=\"width: 113px;\"><code>since<\/code> \/ <code>until<\/code> filters, no archive<\/td>\n<td style=\"width: 113px;\">As fast as quota allows<\/td>\n<td style=\"width: 129px;\" align=\"right\">Free<\/td>\n<td style=\"width: 109px;\">Not applicable<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 27px;\" align=\"right\">14<\/td>\n<td style=\"width: 151px;\">Apify<\/td>\n<td style=\"width: 130px;\">Raw data access, public pages<\/td>\n<td style=\"width: 128px;\">Yes, via search actors<\/td>\n<td style=\"width: 109px;\">No native sentiment<\/td>\n<td style=\"width: 113px;\">Actor-dependent<\/td>\n<td style=\"width: 113px;\">Scheduled runs<\/td>\n<td style=\"width: 129px;\" align=\"right\">Free plan, then per result<\/td>\n<td style=\"width: 109px;\">4.7 in data extraction<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Methodology note:<\/strong> Every price, limit and coverage statement below was read from official vendor pricing pages, help centers, changelogs, release notes and Meta's Threads API documentation during the verification month. Third-party review platforms were used only for ratings, and product profiles were distinguished from seller profiles. Where a vendor publishes nothing about Threads listening, this guide says so instead of guessing.<\/p>\n<h3 id=\"brandmentions-https-brandmentions-com-facts-best-for-untagged-mention-detection-and-crisis-alerting\"><a href=\"https:\/\/brandmentions.com\/facts\/\">BrandMentions<\/a>- Best for Threads Mention Detection and Crisis Alerting<\/h3>\n<p><strong>Verdict:<\/strong> Best for teams prioritising real-time mention detection and crisis alerts over publishing \u00b7 12+ detected emotions including sarcasm, with custom sentiment rules \u00b7 from $99\/mo billed quarterly \u00b7 Limitation: the Threads-specific data path is not separately published, and the entry tier refreshes daily rather than in real time.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>BrandMentions<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Broad public social and web monitoring; Threads path not separately published<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, keyword-based across public social, video, discussions and web<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, LLM-based, 12+ emotions including sarcasm<\/td>\n<\/tr>\n<tr>\n<td>Published history<\/td>\n<td>New non-Enterprise projects start with the last 30 days; up to 10 years on Enterprise<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Daily (Starter), hourly (Pro), real time (Expert and Enterprise)<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>$99\/mo billed quarterly; annual billing reduces it by roughly 15% to 20%<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>Not scored in this guide (see disclosure)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>BrandMentions monitors publicly available content across social media, news, blogs, forums, websites, review sites and spoken mentions in video and podcasts, and Threads sits inside that public-source set rather than behind a separate connection step. For a Threads-specific purchase, state the limitation plainly: the public documentation does not break out a dedicated Threads sourcing path the way Brand24, Hootsuite and Sprinklr do. That is why it sits in this tier rather than Tier 1, and why the 20-minute coverage test applies here as much as anywhere.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Starter costs $99 per month, billed quarterly. Pro costs $299 per month. Expert costs $499 per month. Enterprise starts at $1,299 per month. Annual billing lowers the monthly price by about 15% to 20%, depending on the plan. The free trial is 7 days. Two details worth putting in the budget line: Starter is charged three months at a time, and BrandMentions never charges overage fees, which makes cost predictable during exactly the volume spike you bought the tool for.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>One project where a Threads post, the forum thread quoting it and the news article that follows arrive in the same feed, with one sentiment model applied to all of them. The sentiment layer is more current than most: BrandMentions rebuilt sentiment analysis on LLMs in October 2025, detects 12+ emotions including sarcasm, and supports custom sentiment rules. That matters specifically on Threads, where deadpan and ironic phrasing routinely defeats older classifiers. Teams comparing dedicated <a href=\"https:\/\/brandmentions.com\/blog\/best-sentiment-analysis-tools\/\">sentiment analysis tools<\/a> should weigh sarcasm handling above headline accuracy claims for this network.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>It is not a publishing or inbox tool, so Threads scheduling, reply management and campaign performance reporting belong elsewhere. Engagement counts are not its core metric on this network. And the entry tier is the wrong purchase for crisis work, because Starter updates daily and Pro updates hourly.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Marketing and comms teams at mid-sized companies, and agencies managing several brands, whose first question each morning is whether anything spiked overnight and where. Pair it with a publishing suite rather than replacing one.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>The real pricing variable here is refresh cadence, not keyword count, and most buyers get that backwards. On Threads specifically, where a reply chain can crest within a couple of hours, the step from hourly to real-time collection is the difference between joining a conversation and reading about it. There is also a history detail buried in the official facts that affects campaign measurement: up to 10 years of history is available on Enterprise plans, and new projects on other plans start with the last 30 days. Treat the 10-year figure as a general archive allowance, not a Threads archive, because Threads itself only launched in July 2023. For teams building an escalation workflow, the mechanics of <a href=\"https:\/\/brandmentions.com\/blog\/brand-monitoring-real-time-notification\/\">real-time alerts<\/a> matter more than the channel count on the box.<\/p>\n<h3 id=\"hootsuite-lumen-listening-https-www-hootsuite-com-whats-new-threads-keyword-search-rel-nofollow-best-enterprise-threads-keyword-search-with-real-backdata\"><a href=\"https:\/\/www.hootsuite.com\/whats-new\/threads-keyword-search\" target=\"_blank\" rel=\"nofollow noopener\">Hootsuite Lumen Listening<\/a>- Best Enterprise Threads Keyword Search With Real Backdata<\/h3>\n<p><strong>Verdict:<\/strong> Best for enterprise teams already running Hootsuite who need Threads listening in the same stack \u00b7 400 days of backdata up to 5,000 posts \u00b7 from $99\/user\/mo, Threads Listening on Enterprise \u00b7 Limitation: Threads listening is not available below the Enterprise tier, and the backdata cap can bite before the date window does.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Hootsuite Lumen<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented keyword search of public posts and comments, Enterprise only<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, on Enterprise Listening<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, with themes and influencer identification<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>400 days of backdata, up to 5,000 posts<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Not published for Threads specifically<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>From $99\/user\/mo annually; Threads Listening on Enterprise<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.3 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Hootsuite publishes the most specific Threads listening allowance of any vendor in this guide. Results show all public Threads posts and comments matching your keyword, with sentiment and themes, influencers driving conversations around monitored terms, and performance and activity trends over time. Threads Keyword Search extends listening coverage to a rapidly growing platform. The June 2026 product update adds the number that matters: up to 400 days of backdata, and instead of starting from zero, you get 400 days of backdata covering up to 5,000 posts.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Self-serve plans start at $99 per user per month billed annually, but that tier is not the Threads tier. Instagram, Threads, LinkedIn and Reddit listening need the Enterprise tier, Lumen by Talkwalker. Hootsuite also positions Threads listening as Enterprise on its own Threads page: monitor conversations on Threads with Hootsuite Enterprise to track brand mentions, emerging trends, competitor chatter and industry insights. Advanced listening with Lumen also carries 13 months of historical data at the platform level.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>If your team already lives in Hootsuite for publishing, inbox and analytics, Threads listening arrives without a second vendor, a second login or a second procurement cycle. The sentiment, themes and influencer layers are mature, and the Talkwalker heritage shows in query construction and language coverage.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Two things. Threads listening is genuinely gated behind Enterprise, so the $99 entry price is not comparable to a mid-market listening price. And the published Threads data source behaviour outside keyword search is narrower than buyers assume: the help documentation describes Threads collection from owned, connected accounts, with public keyword search added separately in June 2026.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Multilingual enterprise brands and large agencies that already run Hootsuite and want one invoice. Poor fit for a lean team, because the only Threads-capable tier is the one that requires a sales conversation.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p><strong>The 400-Day \/ 5,000-Post Ceiling.<\/strong> A time window and a record allowance are two different limits, and on a high-volume brand term the record cap exhausts long before the oldest date. If your brand name produces a few hundred Threads posts a week, 5,000 posts is roughly three months of real coverage, not 400 days. Ask whether the cap applies per keyword or per workspace before you build a year-over-year report on it. Hootsuite's exports also carry restrictions by network, so confirm that Threads results can leave the platform in the format your reporting needs.<\/p>\n<h3 id=\"sprinklr-https-www-sprinklr-com-help-articles-threads-threads-as-a-listening-source-695e6ff86e42ec4232384727-rel-nofollow-best-for-enterprises-that-need-listening-care-and-governance-in-one-record\"><a href=\"https:\/\/www.sprinklr.com\/help\/articles\/threads\/threads-as-a-listening-source\/695e6ff86e42ec4232384727\" target=\"_blank\" rel=\"nofollow noopener\">Sprinklr<\/a> - Best for Enterprises That Need Listening, Care and Governance in One Record<\/h3>\n<p><strong>Verdict:<\/strong> Best for global enterprises consolidating Threads listening with customer care and governance \u00b7 keyword and topic tag listening across 30+ channels \u00b7 pricing on request \u00b7 Limitation: Threads Keyword is a Limited Availability feature that must be switched on for your environment.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Sprinklr<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented keyword and topic tag listening, Limited Availability<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, once keyword listening is enabled<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, platform-wide<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Not published for Threads<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Real-time language in docs, no Threads-specific figure<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Pricing on request<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.3 Sprinklr Insights, 4.1 Sprinklr Social on G2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Sprinklr publishes more Threads-specific listening documentation than any other enterprise suite. Threads Integration enables keyword and topic tag based listening, allowing you to monitor public posts and listen to defined topics directly within Sprinklr, with the platform integrating directly with these APIs to monitor posts where users have intentionally added a topic tag. Keyword listening is newer: with the 26.10 release Sprinklr supports Threads keyword listening, where brands register top keywords within Sprinklr Record Manager, and you will need to re-add your Threads account and verify the scope of your keyword search.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Enterprise, sales-led, annual. Sprinklr's self-serve route closed in April 2026, so any guide still recommending a self-serve Sprinklr tier for Threads is working from stale information. Per-user figures circulating on review platforms describe Sprinklr Social packages, not an Insights listening deployment, so do not treat them as a Threads listening price anchor.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Unification is the real product. Sprinklr combines listening and customer-care workflows; confirm how Threads results move between those modules. For brands running customer service on Threads, that closed loop is the strongest single argument in this guide.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Access is conditional in ways the marketing pages do not surface. Threads Keyword is currently a Limited Availability feature, and to access it in your environment you reach out to your Success Manager or submit a request. There is also a platform-level constraint worth planning around: only one topic tag is allowed per post on Threads, which makes tag-based listening much blunter than hashtag listening on other networks.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Regulated, multi-market, multi-brand enterprises with approval chains, escalation paths and audit requirements. Not a fit for a monitoring-first team of five.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p><strong>The Limited-Availability Gap.<\/strong> A documented feature is not an entitled feature. Access to Threads keyword listening is controlled by a dynamic property, and enabling it in your environment requires a request through your Success Manager or support. Sprinklr also requires authentication of at least one Threads account in the Sprinklr environment plus specific native keyword search permissions. Put feature enablement, the keyword registration limit and the re-authorisation requirement in the order form, or you will discover them during onboarding.<\/p>\n<h3 id=\"statusbrew-https-statusbrew-com-help-articles-understanding-listening-rel-nofollow-best-budget-route-to-publishing-plus-real-threads-listening\"><a href=\"https:\/\/statusbrew.com\/help\/articles\/understanding-listening\" target=\"_blank\" rel=\"nofollow noopener\">Statusbrew<\/a> - Best Budget Route to Publishing Plus Real Threads Listening<\/h3>\n<p><strong>Verdict:<\/strong> Best for small teams that want Threads keyword listening and publishing without enterprise procurement \u00b7 4 keyword searches and 1,000 conversations per month on Premium \u00b7 from $229\/mo annually \u00b7 Limitation: the included listening allowance is modest and scales through paid add-ons.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Statusbrew<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented keyword-based Threads listening<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, from the Premium tier<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Collection while the search is active<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Real-time wording in docs, no published Threads figure<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>From $229\/mo annually for the listening tier<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>Public ratings vary by source<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Statusbrew's help centre states that its Listen module tracks conversations across Instagram, X, YouTube, Reddit, Threads and web mentions, and its release log dates Threads keyword listening to May 2025. It also publishes search operator documentation explaining how matching differs by platform, which is unusually honest for this price band.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Listening begins at the Premium tier, at $229 per month billed annually, which includes 6 users and 15 social profiles along with 4 keyword or brand searches and 1,000 conversations per month. Additional capacity is sold at $50 per month for 2 more searches and 1,000 more conversations. That is the clearest add-on arithmetic in this guide.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>One tool for publishing, inbox, moderation, approvals, reporting and basic Threads listening. For a small agency replacing three subscriptions, the consolidation is worth real money, and the published allowances mean you can model a year of cost before the first call.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>A thousand conversations per month disappears quickly on a brand with any volume, and four searches will not cover a brand, three competitors and a campaign. Threads-specific latency and historical behaviour are not published, so the coverage test is mandatory rather than optional.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Small to mid-sized agencies and in-house social teams that need Threads listening alongside daily publishing, and that value predictable pricing over analytical depth.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Statusbrew is the only tool in this guide where you can calculate your overage before you buy. In a category where latency and allowances usually surface in month three, published add-on pricing is a procurement advantage worth more than a feature. Before committing, confirm whether a conversation counts a root post and its replies separately, because that single definition changes your effective allowance by a large multiple.<\/p>\n<h3 id=\"brand24-https-help-brand24-com-en-articles-17339823-how-to-monitor-threads-with-brand24-rel-nofollow-best-documented-mid-market-threads-listener\"><a href=\"https:\/\/help.brand24.com\/en\/articles\/17339823-how-to-monitor-threads-with-brand24\" target=\"_blank\" rel=\"nofollow noopener\">Brand24<\/a>\u00a0- Best Documented Mid-Market Threads Listener<\/h3>\n<p><strong>Verdict:<\/strong> Best for mid-market teams that want Threads keyword monitoring with every limit written down \u00b7 3 to 25 keywords across self-serve plans \u00b7 from $199\/mo annually \u00b7 Limitation: no engagement metrics, nothing collected from before you connect, and no guarantee every matching public post surfaces.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Brand24<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented keyword listening via connected public Threads account<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, public posts and matching replies<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, AI sentiment on all plans<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>None before the account is connected<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Every 12h (Individual), hourly (Team), real time (Pro and above)<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>$199\/mo annual, $249 month to month<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.6 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>This is the clearest case in the category. Brand24 can monitor public conversations on Threads: connect your Threads account and start tracking public posts and comments that match the keywords in your projects, alongside mentions from other social media and web sources. The setup is explicit: connect a public Threads account and enable Threads in your project settings, and Brand24 uses your existing keywords. No separate keyword lists, no parallel project.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Month to month it is Individual $249, Team $349, Pro $499 and Business $699; billed annually those drop to $199, $299, $399 and $599. The entry plan is tight: 3 keywords, 2,000 mentions a month, one user and updates every 12 hours. Real-time updates start on Pro. Enterprise starts at $1,499 per month billed annually. The pricing page opens on annual billing, so the headline number assumes a year of commitment.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Threads mentions land in your existing project next to news, forums, blogs and video, which makes cross-source comparison trivial. With Threads enabled, matching mentions appear in your existing project alongside your other monitored sources, which makes it easier to investigate how a story is being discussed across platforms and whether the sentiment differs between them. The 14-day trial without a credit card makes the coverage test genuinely risk-free.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>The documentation is candid about the gaps, which is exactly why it ranks first. No engagement fields. No history before connection. A search allowance that can be temporarily exhausted. And replies only arrive when the reply itself contains your tracked keyword and Threads returns it, so a complaint buried three levels deep in a nested conversation that never repeats your brand name will be missed.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Small and mid-sized marketing teams, consultants and agencies with a short, sharp keyword list who want Threads sentiment from day one and can live without engagement data. Weakest fit for teams that need exhaustive reply-tree reconstruction.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Brand24 permits more than one connected Threads profile, each with its own search allowance. That changes the arithmetic most buyers do in their heads. If your keyword count is pushing against refresh frequency, adding a second connected profile is a lever before upgrading the plan, and it is worth asking support to confirm how the allowance is distributed across projects.<\/p>\n<p>&nbsp;<\/p>\n<blockquote><p>Decide your refresh cadence before you decide anything else. A tool that collects once a day will only ever tell you what already happened, and no amount of sentiment sophistication fixes that.<\/p><\/blockquote>\n<h3 id=\"youscan-https-youscan-io-pricing-rel-nofollow-best-visual-intelligence-if-threads-is-not-your-only-source\"><a href=\"https:\/\/youscan.io\/pricing\" target=\"_blank\" rel=\"nofollow noopener\">YouScan<\/a>\u00a0- Best Visual Intelligence, If Threads Is Not Your Only Source<\/h3>\n<p><strong>Verdict:<\/strong> Best for consumer brands that need logo and product detection in social imagery \u00b7 15,000 monthly mentions and 3 topics on the entry plan \u00b7 from $499\/mo annually \u00b7 Limitation: Threads is not named as a monitored source in public documentation, and the visual features sit on the quote-only tier.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>YouScan<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Threads not named in public documentation<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Not verified for Threads<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Aspect-level sentiment, platform-wide<\/td>\n<\/tr>\n<tr>\n<td>Published history<\/td>\n<td>Social Search uses a 1% sample from monitored sources from September 2022<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>10 minutes for social channels, up to 1 hour for other platforms<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>$499\/mo billed annually for the Starter 3 plan<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.7 on G2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>YouScan publishes a great deal about its sources and still does not name Threads among them. That is the finding, and it should be stated rather than smoothed over. Several widely shared comparison lists assert Threads coverage here with no supporting documentation, which is exactly the pattern this guide exists to correct.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>The Starter 3 plan is $499 per month billed annually, covering 3 search topics and up to 15,000 monthly mentions. Unlimited plans are quoted. Note that three topics is not three keywords: it is three separate queries, which forces multi-client agencies to merge unrelated brands into one topic and corrupts reporting.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>YouScan offers visual analysis features; confirm whether the required sources and features are included in the quoted plan. It identifies logos, products, objects and scenes in images where the brand name is never typed, which is genuinely additive on an image-friendly network. Unlimited users on every tier also means team size does not change the price, which is unusual here.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Beyond the unnamed source, the differentiating features are not in the published price. Visual Insights and Audience Insights sit on the custom Unlimited tier, so the $499 plan does not buy the capability most buyers come for. The Unlimited tier also describes mentions as sampled, which is structurally insufficient for crisis forensics or legal discovery.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>CPG, fashion, beverage and automotive brands where product placement in photography drives perception, and where Threads is one source among many rather than the buying trigger.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Image recognition cannot bypass a collection gap, and this is where several competing articles reason badly. Recognising a logo in a photo requires the platform to have ingested that photo first. If Threads is not in the source set, no amount of vision model quality will surface a Threads image. Ask whether Threads images are collected before you price the visual tier.<\/p>\n<h3 id=\"brandwatch-https-www-brandwatch-com-datanetworks-threads-rel-nofollow-best-documented-owned-and-brand-mention-windows\"><a href=\"https:\/\/www.brandwatch.com\/datanetworks\/threads\/\" target=\"_blank\" rel=\"nofollow noopener\">Brandwatch<\/a>\u00a0- Best Documented Owned and Brand-Mention Windows<\/h3>\n<p><strong>Verdict:<\/strong> Best for enterprise insights teams that need precise, documented Threads source behaviour \u00b7 up to 15 minute collection delay \u00b7 pricing on request \u00b7 Limitation: the documented Threads sources are owned content and posts that @mention a connected account, not unrestricted keyword discovery.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Brandwatch<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented owned Threads content and @brand mentions<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Direct @mentions documented; keyword breadth depends on product access<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, platform-wide sentiment and emotion<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Up to 400 days for owned posts and comments, up to 14 days for brand mentions<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Expected collection delay of up to 15 minutes<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Pricing on request<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.4 Consumer Intelligence, 4.2 seller aggregate<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Brandwatch publishes the most precise Threads numbers of any enterprise vendor, and also the most precise scope. Its Listen documentation documents owned Threads posts and their engagement, plus public content that @mentions a connected account, and these are defined source types that do not establish unrestricted keyword discovery across Threads. Several competing guides translate Brandwatch's general archive depth into a Threads capability. That inference does not hold, and the 14-day brand-mention window is the number that should appear in a Threads evaluation.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Quote-only, annual, priced by seats, mention volume and modules. There is no self-serve tier and no trial, which means your evaluation is only as good as the demo your solutions engineer builds. Insist that the demo queries Threads, not X and Instagram.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Everything downstream of collection: deep Boolean operators, image analysis, demographic inference, segmentation and dashboards that hold up in a board meeting. Teams already running Brandwatch studies on Reddit and X will find a Threads slice drops into the same framework cleanly.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>The documented coverage answers \"who tagged us\" better than \"who complained about us without tagging us.\" For a comms team whose whole requirement is the second question, confirm product package and keyword entitlement in writing. Buyers who reach that conclusion usually end up comparing <a href=\"https:\/\/brandmentions.com\/blog\/brandwatch-alternatives\/\">Brandwatch alternatives<\/a> on one channel at a time rather than on platform breadth.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Enterprise research and insights teams, global brands with regional analysts, and agencies with dedicated analysts who work in Boolean every day.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Brandwatch's published Threads windows are the best procurement artefact in this category, and you should use them as a benchmark against every other vendor. Ask each competitor for the same three numbers: owned history, mention history, and expected collection delay. Most cannot produce them, and that inability is itself the answer.<\/p>\n<h3 id=\"meltwater-https-www-meltwater-com-rel-nofollow-best-for-threads-next-to-earned-media\"><a href=\"https:\/\/www.meltwater.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Meltwater<\/a>\u00a0- Best for Threads Next to Earned Media<\/h3>\n<p><strong>Verdict:<\/strong> Best for PR and comms teams measuring Threads alongside press, broadcast and podcasts \u00b7 20+ social networks across 200+ countries \u00b7 pricing on request \u00b7 Limitation: the published Threads polling limits sit in owned and paid connection documentation, not in public keyword listening.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Meltwater<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Documented Threads connection; public listening scope not fully separated<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Partial, depends on monitored setup<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, platform-wide<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Not published<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>15-minute refresh in Threads connection documentation<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Pricing on request<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.1 on G2 seller profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Meltwater's social connections reference states that Threads must be connected, and publishes operational figures: the last 300 threads per poll cycle, 50 replies each, refreshed every 15 minutes. Read the scope before you reuse those numbers. They appear under owned and paid reference material tied to engagement workflows, and the source expressly distinguishes that from public listening. Several comparison articles quote them as broad keyword listening limits. They are not, and quoting a real number against the wrong question is the most common error in this category.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Annual contracts, quoted by module and seat count, with no self-serve tier. Because there is no published anchor, get two competing quotes before engaging, and make Threads coverage a named line item rather than an assumption.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Meltwater combines media monitoring with social workflows; verify the Threads collection scope separately. You see a Threads flare-up next to the article that triggered it and the journalists amplifying it, across a wide range of languages and markets. For issues management, that linkage is worth more than Threads volume alone.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Threads is one of many channels and does not get specialist treatment. Reply-chain granularity and Threads-specific analytics lag behind listening-first products, and the interface carries the weight of a very large platform.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Corporate communications, PR agencies and public affairs teams that need Threads as one input into narrative tracking and executive reporting.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Media-first platforms tend to train sentiment on journalistic register. Threads is informal, short and reply-heavy. Before you trust a Threads sentiment trend line here, hand-label 30 real Threads posts and compare. It takes an hour and it has changed more than one purchase decision.<\/p>\n<h3 id=\"onclusive-social-https-onclusive-com-products-social-listening-rel-nofollow-best-for-comms-teams-inside-an-existing-media-contract\"><a href=\"https:\/\/onclusive.com\/products\/social-listening\/\" target=\"_blank\" rel=\"nofollow noopener\">Onclusive Social<\/a> - Best for Comms Teams Inside an Existing Media Contract<\/h3>\n<p><strong>Verdict:<\/strong> Best for PR teams consolidating media monitoring and social intelligence with one vendor \u00b7 24 months of historical data \u00b7 pricing on request \u00b7 Limitation: Threads is named as a covered source, but the collection method and Threads-specific scope are not published.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Onclusive Social<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Threads named as a source; method not published<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Vendor claim, not documented<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, platform-wide<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>24 months, platform-wide rather than Threads-specific<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Real-time wording in product pages<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Pricing on request<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.5 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Onclusive's social listening page names Threads alongside Facebook, Instagram, TikTok and LinkedIn and advertises 24 months of historical data. What it does not do is describe how Threads posts are collected or what the Threads-specific window is. The 24 months is a platform figure. Do not carry it into a Threads column without asking the question directly.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Quoted annually as part of an Onclusive contract, with no self-serve tier and no public anchor. Plan a sales cycle, not a checkout.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>The former Digimind platform brings genuine breadth, and LinkedIn coverage is a specific differentiator that reviewers raise repeatedly. For a B2B brand whose conversations split between LinkedIn and Threads, that combination is rare.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Documentation transparency is the weak point, and rebranding has fragmented the public review record, making third-party evidence harder to map onto the current product. Query construction is powerful but unintuitive, which is a real risk for a listening tool: if you cannot trust the query, you cannot trust the dashboard built on it.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>In-house comms teams and PR agencies already using Onclusive for media monitoring who want Threads inside the same reporting cadence.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Ask for the implementation-to-value timeline in writing, not just the implementation timeline. Buyers in this tier routinely budget for setup and then discover that a listening programme takes a year or more to pay back against a quarterly review cycle. That gap, not the licence fee, is what kills renewals.<\/p>\n<h3 id=\"sprout-social-https-sproutsocial-com-pricing-rel-nofollow-best-for-teams-already-standardised-on-sprout\"><a href=\"https:\/\/sproutsocial.com\/pricing\/\" target=\"_blank\" rel=\"nofollow noopener\">Sprout Social<\/a> - Best for Teams Already Standardised on Sprout<\/h3>\n<p><strong>Verdict:<\/strong> Best for social teams that manage Threads publishing and want listening in the same login \u00b7 Standard at $199\/seat\/mo required for Listening \u00b7 from $79\/seat\/mo annually, Listening quoted separately \u00b7 Limitation: the public Listening source list does not name Threads.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Sprout Social<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Threads profile support in the API; Listening FAQ does not name Threads<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Not verified for Threads Listening<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Platform sentiment features available; application to Threads keyword results not verified.<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Not published<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Not published for Threads<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Essentials $79\/seat\/mo annually; Standard $199\/seat\/mo; Listening add-on quoted<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.4 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Sprout was first out of the gate on Threads publishing in 2024, and its API documentation lists Threads among supported profile types. Its Listening FAQ names Facebook, X, Instagram, Reddit, YouTube, Tumblr, Snapchat and the web. Threads is absent from that list. Until a Sprout representative states otherwise in writing, treat Threads here as management, not listening.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Essentials starts at $79 per seat per month billed annually, Standard at $199. The number that matters for a listening purchase is the second one, because Listening is only available as an add-on from Standard upward, and the add-on itself is quoted. Comparing the $79 entry price against a mid-market listening tool is comparing two different products.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Best-in-class publishing, approvals, workflow and reporting for Threads, plus a mature Listening module with topic building, sentiment and competitor comparison on the sources it does cover.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>Per-seat pricing plus a separately quoted add-on makes this one of the most expensive routes to Threads listening for a small team, and the Threads Listening question cannot be resolved from public documentation.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Mid-sized to large social teams already publishing through Sprout who want listening in the same interface and have budget for the add-on.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p><strong>The Seat-Tax Trap.<\/strong> Per-seat suites charge for every stakeholder who needs to read a Threads alert, including the people who will never post. A listening-first tool with bundled users can cost less for a five-person comms team even when its sticker price looks higher. Count the readers, not the publishers, before you compare prices.<\/p>\n<h3 id=\"agorapulse-https-support-agorapulse-com-en-articles-8712232-how-to-create-an-advanced-listening-search-rel-nofollow-best-social-inbox-for-threads-community-management\"><a href=\"https:\/\/support.agorapulse.com\/en\/articles\/8712232-how-to-create-an-advanced-listening-search\" target=\"_blank\" rel=\"nofollow noopener\">Agorapulse<\/a> - Best Social Inbox for Threads Community Management<\/h3>\n<p><strong>Verdict:<\/strong> Best for community managers handling high inbound volume on Threads \u00b7 10 connected profiles on paid plans \u00b7 from $79\/user\/mo annually \u00b7 Limitation: Threads does not appear in the published Advanced Listening source list.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Agorapulse<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Threads publishing, inbox and reporting; Threads absent from Advanced Listening sources<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Not verified for Threads<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>In the listening add-on, for covered sources<\/td>\n<\/tr>\n<tr>\n<td>Published history<\/td>\n<td>1 to 24 months data retention by tier<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Not published for Threads<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>$79\/user\/mo annually, $99 month to month; Advanced Listening priced separately<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.5 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>This is a case where the official source list settles the question. Agorapulse's Advanced Listening documentation names Facebook, X, Instagram, LinkedIn, YouTube, Reddit and web sources. Threads is not on it. Threads is well supported for publishing, inbox and reporting, and that is a different capability. Any list that credits Agorapulse with untagged Threads detection is working from an assumption, not a document.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Standard is $79 per user per month billed annually, or $99 month to month, with Professional and Advanced above it. Advanced Social and Web Listening searches are sold per search per month on top. Earlier figures of $49 per user that still circulate in comparison articles are out of date.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>The unified inbox is the strongest in its price range: one queue with assignments, labels and saved replies across networks, which prevents duplicated replies and dropped threads. Reddit monitoring without a Reddit account is a genuinely useful differentiator.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>If a customer complains about you on Threads without tagging you, this will not surface it. That is the single biggest gap for reputation use cases, and it is a scope decision rather than a quality problem. Profile caps, not seat counts, also tend to become the binding constraint for agencies.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Small brands and community managers who need to publish and reply on Threads efficiently and either already have keyword listening elsewhere or do not need it.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Owned-profile monitoring consumes none of the keyword search budget, which is why inbox tools can refresh replies far more aggressively than any keyword listener can refresh searches. That is an argument for running both: let the inbox tool own conversation, and let a listening tool own discovery.<\/p>\n<h3 id=\"vista-social-https-vistasocial-com-pricing-rel-nofollow-best-budget-all-in-one-for-agencies\"><a href=\"https:\/\/vistasocial.com\/pricing\/\" target=\"_blank\" rel=\"nofollow noopener\">Vista Social<\/a>\u00a0- Best Budget All-in-One for Agencies<\/h3>\n<p><strong>Verdict:<\/strong> Best for lean agencies that need affordable publishing, inbox and reviews with a listening add-on \u00b7 15 profiles on Professional \u00b7 from $99\/mo, external listening from $75\/mo \u00b7 Limitation: Threads is not named as an external listening source in public documentation.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Vista Social<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Threads management supported; not named as an external listening source<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Not verified for Threads<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>Yes, in listener reports<\/td>\n<\/tr>\n<tr>\n<td>Published Threads history<\/td>\n<td>Not published<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Not published for Threads<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Professional $99\/mo or $950\/yr; external listening from $75\/mo<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.8 on G2 product profile<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Vista Social supports Threads publishing and has done since before the official API existed. Its listening documentation separates internal listening, which covers your own connected profiles, from external listening across social, web and news. Threads is not clearly named in the external listening source material. Treat it as publishing plus inbox until a demo proves otherwise with your own keywords.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Professional is $99 per month or $950 per year, Advanced $199, Scale $449. External listening is an add-on from $75 per month. The important distinction, which several comparison articles blur: $99 monthly and $950 annually are different billing bases, not the same number presented two ways, and the published platform price is not the price of listening.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>The most aggressive price-to-breadth ratio here. Publishing, scheduling, social inbox, reviews management and white-label reporting at a level that undercuts almost everything else, which matters when every subscription is a decision.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>No documented untagged Threads detection, and no backfill: listening starts when you create the listener. For campaign measurement and competitive benchmarking, that is a hard constraint.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Freelancers, small agencies and startups that need to publish to Threads cheaply and keep a clean inbox, with listening added where it is proven.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Vista Social's Threads integration has been rebuilt at least once, because it shipped Threads publishing before Meta released the API and migrated afterwards. Ask how recent the current integration is before you schedule a campaign launch through it, and ask specifically which Threads objects it can read today.<\/p>\n<h3 id=\"meta-threads-api-https-developers-facebook-com-docs-threads-keyword-search-best-for-engineers-who-want-compliance-and-field-level-control\"><a href=\"https:\/\/developers.facebook.com\/docs\/threads\/keyword-search\/\" target=\"_blank\" rel=\"noopener\">Meta Threads API<\/a>\u00a0- Best for Engineers Who Want Compliance and Field-Level Control<\/h3>\n<p><strong>Verdict:<\/strong> Best for data teams building internal Threads monitoring with a clean compliance story \u00b7 limit default 25, maximum 100 posts per request \u00b7 free \u00b7 Limitation: App Review approval is required before the endpoint searches anyone else's posts, and no engagement fields are returned.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Meta Threads API<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Raw data access, official<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, with <code>threads_keyword_search<\/code> approved<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>None, raw text only<\/td>\n<\/tr>\n<tr>\n<td>Published history<\/td>\n<td><code>since<\/code> and <code>until<\/code> filters, no archive guarantee<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>As fast as your approved quota allows<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Free<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>Not applicable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Direct from Meta. You register an app with the Threads use case, request the scopes, pass App Review, then call the keyword search endpoint. <code>threads_basic<\/code> is required for every endpoint, while <code>threads_content_publish<\/code>, <code>threads_read_replies<\/code>, <code>threads_manage_replies<\/code>, <code>threads_manage_insights<\/code>, <code>threads_delete<\/code>, <code>threads_location_tagging<\/code>, <code>threads_keyword_search<\/code>, <code>threads_manage_mentions<\/code> and the newer <code>threads_share_to_instagram<\/code> (added 25 March 2026) are opt-in per use case. Profile-level discovery is separately gated: only public profiles with at least 100 followers, through the profile discovery endpoints, which need the <code>threads_profile_discovery<\/code> permission and are limited to 1,000 requests per user per 24 hours.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Free to call. Your real cost is calendar time and engineering. Meta's API is free in dollars and expensive in calendar time, because every permission scope needs to pass Meta App Review, with screencasts, a privacy policy, and frequently business verification. Budget review time before you promise a launch date.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Every field Meta returns, with a permalink and author metadata, under sanctioned access. It is also the only way to audit what a vendor claims, because you can read the raw response yourself and compare it against their dashboard.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>No sentiment, no dashboards, no alerting, no reporting. You build all of it. And the asymmetry is deliberate: publishing is generous, search is rationed, and the rate limit you actually hit depends entirely on what you are building.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Companies with a data team, strict compliance requirements, or a need to join Threads signals to internal systems such as support tickets and product telemetry.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p><strong>Log your empty results separately from your failures.<\/strong> A keyword search that returns nothing and a keyword search that failed look identical in most naive implementations, and on Threads an empty response can mean a hot IP, a filtered term, or genuine silence. One practitioner working this surface found that every request from one connection returned a data-less shell so the script ran cleanly and returned nothing, while the same approach on cloud infrastructure the same day returned posts, so if you are on a hot IP you should try another egress before concluding a term has no posts. A monitoring system that cannot tell silence from blindness will report calm during a crisis.<\/p>\n<h3 id=\"apify-https-apify-com-sauliusautomatesit-threads-search-api-best-for-research-teams-that-need-structured-threads-data-fast\"><a href=\"https:\/\/apify.com\/sauliusautomatesit\/threads-search-api\" target=\"_blank\" rel=\"nofollow noopener\">Apify<\/a> - Best for Research Teams That Need Structured Threads Data Fast<\/h3>\n<p><strong>Verdict:<\/strong> Best for research and analytics teams pulling Threads data without building collectors \u00b7 about 2,500 posts on the free plan's monthly credit \u00b7 free plan, then per-result pricing \u00b7 Limitation: public-page collection sits outside Meta's sanctioned access model and returns a sample, not an archive.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Apify<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Threads coverage type<\/td>\n<td>Raw data access via public-page actors<\/td>\n<\/tr>\n<tr>\n<td>Untagged mentions<\/td>\n<td>Yes, via keyword search actors<\/td>\n<\/tr>\n<tr>\n<td>Sentiment on Threads<\/td>\n<td>None native<\/td>\n<\/tr>\n<tr>\n<td>Published history<\/td>\n<td>Actor-dependent, no archive<\/td>\n<\/tr>\n<tr>\n<td>Refresh \/ alert latency<\/td>\n<td>Scheduled runs<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>Free plan, then per result<\/td>\n<\/tr>\n<tr>\n<td>Third-party rating<\/td>\n<td>4.7 in data extraction<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"threads-coverage-and-data-path\">Threads Coverage and Data Path<\/h4>\n<p>Actors read what Threads shows any visitor. You do not need a Threads or Instagram account, because the actor reads what Threads shows any visitor, and you do not need Meta app review or the <code>threads_keyword_search<\/code> permission, because those are for Meta's own Threads API, while this needs only an Apify token. The trade is compliance review in exchange for speed and engagement fields.<\/p>\n<h4 id=\"pricing-reality\">Pricing Reality<\/h4>\n<p>Per result rather than per seat, with published rates in the low single digits per thousand posts depending on the actor. The free plan's $5 of monthly credit covers about 2,500 posts. For a narrow recurring job, this is often the cheapest option in the entire guide.<\/p>\n<h4 id=\"core-strengths\">Core Strengths<\/h4>\n<p>Structured JSON or CSV in an afternoon, with engagement counts the official search does not return, plus scheduling. You can monitor a brand every day by saving the input as a task and scheduling it, with each run returning the posts Threads shows at that moment with fresh engagement numbers.<\/p>\n<h4 id=\"where-it-falls-short-on-threads\">Where It Falls Short on Threads<\/h4>\n<p>No dashboard, no alerting workflow, no stakeholder reporting, and no sentiment unless you add a model. Legal and procurement teams at regulated companies will often reject public-page collection outright. It covers public posts only, with no login, so no private accounts, likes lists or follower lists.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Academic researchers, market intelligence teams, data science functions and agencies with technical operations and legal sign-off.<\/p>\n<h4 id=\"non-obvious-insight\">Non-Obvious Insight<\/h4>\n<p>Matching behaviour here is looser than Boolean users expect. Results are what Threads search returns, and Threads matches loosely: a short or unusual keyword can bring posts that only resemble it. Budget for a filtering layer on top of the raw pull, and never present unfiltered actor output as a mention count.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/image_04_c65a3986.webp\" alt=\"Decision tree for choosing Threads social listening tools by budget, crisis, publishing, enterprise, or API needs.\" \/><\/p>\n<h2 id=\"what-counts-as-real-threads-coverage-in-2026\">What Counts as Real Threads Coverage in 2026?<\/h2>\n<table>\n<thead>\n<tr>\n<th>Coverage level<\/th>\n<th>What it captures<\/th>\n<th>Good for<\/th>\n<th>Not good for<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Owned account monitoring<\/td>\n<td>Your posts, your comments, your insights<\/td>\n<td>Community management, performance reporting<\/td>\n<td>Competitor and category listening<\/td>\n<\/tr>\n<tr>\n<td>Direct @mention capture<\/td>\n<td>Posts and comments that tag your handle<\/td>\n<td>Support, engagement, obvious reputation hits<\/td>\n<td>Misspellings, no-tag complaints, category chatter<\/td>\n<\/tr>\n<tr>\n<td>Keyword and topic tag listening<\/td>\n<td>Public posts and matching replies for terms you do not own<\/td>\n<td>Brand, competitor, campaign, crisis, trend tracking<\/td>\n<td>Complete historical reconstruction<\/td>\n<\/tr>\n<tr>\n<td>Raw data access<\/td>\n<td>Structured posts, profiles, engagement fields<\/td>\n<td>Research, custom models, internal dashboards<\/td>\n<td>Non-technical alerting and stakeholder reporting<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>The Permission-Not-Logo Rule.<\/strong> A Threads integration logo does not establish what a tool collects. Ask for documentation of public keyword collection, any upstream provider, and a live example of an untagged result.<\/p>\n<p>This is where most competing lists collapse. They mix schedulers, inboxes, analytics products and listening platforms into one ranking, then sort by brand recognition. A Threads scheduler solves publishing. A Threads listener solves discovery. Those are separate purchases with separate budgets.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/image_02_27e4ad6e.webp\" alt=\"Four-level framework separating Threads publishing, mentions, keyword listening, and raw data access.\" \/><\/p>\n<h2 id=\"how-we-evaluated-these-tools\">How We Evaluated These Tools<\/h2>\n<p>Be clear about what this is, because the category is full of vague testing claims. This is a documentation, pricing and release-note audit, plus a reproducible buyer test you can run yourself. It is not a published recall benchmark, and no article that claims one without publishing its query list, post identifiers and per-tool exports should be trusted either.<\/p>\n<p>For each tool we read the pricing page, the help centre or documentation subdomain, and the changelog or release notes, then classified Threads coverage into one of five states:<\/p>\n<ul>\n<li><strong>Documented keyword listening:<\/strong> a help article or release note describes public keyword collection, with scope or limits.<\/li>\n<li><strong>Documented owned or mention coverage:<\/strong> Threads appears, but only for connected accounts or @mentions.<\/li>\n<li><strong>Named without method:<\/strong> Threads is listed as a covered source, with no published collection scope.<\/li>\n<li><strong>Publishing and management only:<\/strong> Threads appears in scheduling, inbox or analytics features.<\/li>\n<li><strong>Raw data access:<\/strong> official API or data platform.<\/li>\n<\/ul>\n<p>Criteria, in weighted order: verified Threads coverage type, untagged keyword detection, sentiment availability and filterability by source, published historical window, refresh and alert latency, pricing transparency including the minimum tier that unlocks listening, and third-party ratings. Coverage type and untagged detection sit above everything else because they decide whether a conversation reaches you at all.<\/p>\n<h2 data-pm-slice=\"1 1 []\">Our research: Threads publishing dominates the tool discussions we found<\/h2>\n<p data-pm-slice=\"1 1 []\">We analysed 14,154 mention records covering 14 tools between 12 August and 9 November 2026. This research cohort differs from the comparison table: it includes Octolens and excludes the direct Meta Threads API option. Among 741 discussion records, just 13 mentioned Threads as a platform. After removing reposts, these represented approximately six distinct Reddit posts, all discussing Threads as a publishing destination.<\/p>\n<p data-pm-slice=\"1 1 []\">This finding highlights a limitation of using tool discussions to evaluate Threads listening: <em>references to Threads support may describe scheduling or publishing rather than keyword monitoring.<\/em> Buyers should check what each vendor collects and test whether it finds relevant, untagged public posts.<\/p>\n<p><strong>Source and disclosure:<\/strong> This research uses BrandMentions data. BrandMentions also publishes this guide and is included in the comparison. Findings describe the retrieved dataset; they do not establish complete coverage of Threads or the wider web.<\/p>\n<ul>\n<li><strong>Zero Threads posts mentioned any of the 14 tools.<\/strong> We enumerated all 741 forum and social discussions about them. Every one came from Reddit, Bluesky or other forums. At Threads' 3.3% baseline share, about 24 were expected.<\/li>\n<li><strong>When Threads comes up next to a tool, it is as a place to publish.<\/strong> Threads appears in 13 of 741 tool discussions (1.8%), and every one treats it as a posting destination, never a listening source.<\/li>\n<li><strong>Threads association follows publishing tools, not listening tools.<\/strong> About 21% of Agorapulse and Statusbrew mentions name Threads, versus about 4% for Brand24, Brandwatch and Sprinklr.<\/li>\n<li><strong>Roughly three quarters of tool talk is editorial.<\/strong> News, blogs and web pages carry 75\u201380% of mentions for most tools, so buyers mostly meet these tools through comparison content.<\/li>\n<li><strong>Price is the first thing practitioners discuss.<\/strong> Cost comes up in 31% of tool discussions, and in 64% of Agorapulse threads.<\/li>\n<li><strong>Interest in social listening is rising.<\/strong> Weekly mentions of \"social listening\" grew from about 390 in late August to a peak of 775 in mid-October.<\/li>\n<\/ul>\n<h3>Method and dataset<\/h3>\n<table>\n<colgroup>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Item<\/th>\n<th colspan=\"1\" rowspan=\"1\">Detail<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Sources<\/td>\n<td colspan=\"1\" rowspan=\"1\">Social , video, discussions, news, blogs and web pages<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Tool queries<\/td>\n<td colspan=\"1\" rowspan=\"1\">Each tool name as an exact phrase, e.g. \"Brand24\", \"Sprout Social\"<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Disambiguation<\/td>\n<td colspan=\"1\" rowspan=\"1\">\"Meltwater\" excluded glacier and hydrology terms; \"Vista Social\" excluded Buena Vista Social Club<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Topic queries<\/td>\n<td colspan=\"1\" rowspan=\"1\">\"social listening\", \"brand monitoring\", \"brand mentions\"<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Discussion census<\/td>\n<td colspan=\"1\" rowspan=\"1\">Every discussion document was retrieved, not just the 100-item sample, by splitting the date range until each window held 100 or fewer matches<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Threads baseline<\/td>\n<td colspan=\"1\" rowspan=\"1\">Platform mix of 3,169 discussions matching eight everyday words (marketing, brand, today, new, customer, app, instagram, tiktok)<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Theme tagging<\/td>\n<td colspan=\"1\" rowspan=\"1\">Keyword rules over discussion text for price, alternatives, sentiment, data, accuracy and Threads<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Two checks shaped what we report. First, we confirmed Threads is in the index: 26 of the 100 newest \"threads\" discussions on 8\u20139 November came from threads.com. Second, we tested whether \"Threads\" co-mentions meant the platform or the common word (\"Reddit threads\"). Raw counts were inflated, so Finding 3 uses a platform-adjusted estimate.<\/p>\n<h3>Finding 1: No Threads-origin records were returned for the selected tool queries.<\/h3>\n<p>Not one of the 741 discussions about the 14 tools came from Threads. A separate baseline query set returned 3.3% Threads records. Because its keywords and sampling dates differed from the tool queries, we use it only to describe that baseline sample<\/p>\n<table>\n<colgroup>\n<col \/>\n<col \/>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Platform<\/th>\n<th colspan=\"1\" rowspan=\"1\">Share of all discussions (baseline)<\/th>\n<th colspan=\"1\" rowspan=\"1\">Share of tool discussions<\/th>\n<th colspan=\"1\" rowspan=\"1\">Expected at baseline<\/th>\n<th colspan=\"1\" rowspan=\"1\">Observed<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Reddit<\/td>\n<td colspan=\"1\" rowspan=\"1\">75.8%<\/td>\n<td colspan=\"1\" rowspan=\"1\">93.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">562<\/td>\n<td colspan=\"1\" rowspan=\"1\">693<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Bluesky<\/td>\n<td colspan=\"1\" rowspan=\"1\">16.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">122<\/td>\n<td colspan=\"1\" rowspan=\"1\">33<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Forums<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.4%<\/td>\n<td colspan=\"1\" rowspan=\"1\">2.0%<\/td>\n<td colspan=\"1\" rowspan=\"1\">33<\/td>\n<td colspan=\"1\" rowspan=\"1\">15<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Threads<\/td>\n<td colspan=\"1\" rowspan=\"1\">3.3%<\/td>\n<td colspan=\"1\" rowspan=\"1\">0%<\/td>\n<td colspan=\"1\" rowspan=\"1\">24<\/td>\n<td colspan=\"1\" rowspan=\"1\">0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The gap holds for the category as a whole. All 205 discussions of \"social listening\" and all 49 of \"brand monitoring\" came from Reddit, Bluesky or other forums, with none from Threads.<\/p>\n<p>For buyers, this has a practical edge. In the retrieved dataset, all 741 discussion records came from other sources. This does not establish that relevant conversations were absent from Threads.<\/p>\n<h3>Finding 2: Threads is discussed as a place to post, not a place to listen<\/h3>\n<p>Threads, the platform, appears in only 13 of 741 tool discussions (1.8%). After removing reposts, those are about six distinct Reddit posts, and all of them treat Threads as a publishing target.<\/p>\n<table>\n<colgroup>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Kind of post<\/th>\n<th colspan=\"1\" rowspan=\"1\">Tools named<\/th>\n<th colspan=\"1\" rowspan=\"1\">What it says about Threads<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Scheduler comparison list<\/td>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite, Sprout Social, Agorapulse<\/td>\n<td colspan=\"1\" rowspan=\"1\">Native Threads scheduling, listed next to inbox and pricing<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Open-source cross-posting tool<\/td>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite<\/td>\n<td colspan=\"1\" rowspan=\"1\">Posts between Facebook, Instagram, Bluesky and Threads<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Request for AI syndication<\/td>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite<\/td>\n<td colspan=\"1\" rowspan=\"1\">Wants one post adapted for Threads and six other networks<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite alternative pitch<\/td>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite<\/td>\n<td colspan=\"1\" rowspan=\"1\">Publishes to Threads, but states plainly it does not track brand mentions<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Freelancer profile<\/td>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite<\/td>\n<td colspan=\"1\" rowspan=\"1\">Threads listed as a platform the person manages<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Not one discussion asks which tool can catch untagged Threads mentions, or reports a tool doing so. The guide's four meanings of \"supports Threads\" show up clearly here: the market conversation is almost entirely about the first one, publishing.<\/p>\n<p>The topic-level picture matches. Of 205 \"social listening\" discussions, 6 name Threads. The only one about listening coverage is a small vendor listing Threads among ten sources and warning it will not catch every post.<\/p>\n<h3>Finding 3: Threads association follows publishing, not listening<\/h3>\n<p>The tools most often written about alongside Threads are the ones the guide places in publishing, not the ones with documented Threads keyword listening.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6482\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research.png\" alt=\"threads-share-by-tool-brandmentions-research\" width=\"2280\" height=\"1518\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research.png 2280w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research-300x200.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research-1024x682.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research-768x511.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research-1536x1023.png 1536w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/threads-share-by-tool-brandmentions-research-2048x1364.png 2048w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p>Agorapulse is the clearest case. About one in five of its mentions names Threads, yet its Advanced Listening documentation does not list Threads as a source. Brand24 and Sprinklr, which do document Threads keyword listening, sit near 4%. Statusbrew is the exception that fits the rule: it is a publishing suite that also documents listening.<\/p>\n<p>This is the \"Permission-Not-Logo\" problem in numbers. A buyer who searches for Threads tools will mostly find content about schedulers.<\/p>\n<p>How the estimate works: we counted every mention containing both the tool name and \"Threads\", then read the samples to separate the platform from the common word. Octolens showed why this matters: 38 of its 43 raw matches meant \"Reddit threads\", so its 32% raw rate fell to under 4%.<\/p>\n<h3>Finding 4: Share of voice, and where tool talk happens<\/h3>\n<p>Hootsuite, Meltwater and Sprout Social lead on volume, but for almost every tool three quarters of mentions are editorial: news, blogs and web pages. Apify is the outlier, with most talk in developer discussions and video tutorials.<\/p>\n<table>\n<colgroup>\n<col \/>\n<col \/>\n<col \/>\n<col \/>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Tool<\/th>\n<th colspan=\"1\" rowspan=\"1\">Mentions (90 days)<\/th>\n<th colspan=\"1\" rowspan=\"1\">Share of voice<\/th>\n<th colspan=\"1\" rowspan=\"1\">Discussions<\/th>\n<th colspan=\"1\" rowspan=\"1\">Social<\/th>\n<th colspan=\"1\" rowspan=\"1\">Video<\/th>\n<th colspan=\"1\" rowspan=\"1\">News, blogs and web<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Hootsuite<\/td>\n<td colspan=\"1\" rowspan=\"1\">2,590<\/td>\n<td colspan=\"1\" rowspan=\"1\">18.3%<\/td>\n<td colspan=\"1\" rowspan=\"1\">147<\/td>\n<td colspan=\"1\" rowspan=\"1\">290<\/td>\n<td colspan=\"1\" rowspan=\"1\">215<\/td>\n<td colspan=\"1\" rowspan=\"1\">75%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Meltwater<\/td>\n<td colspan=\"1\" rowspan=\"1\">2,300<\/td>\n<td colspan=\"1\" rowspan=\"1\">16.2%<\/td>\n<td colspan=\"1\" rowspan=\"1\">92<\/td>\n<td colspan=\"1\" rowspan=\"1\">135<\/td>\n<td colspan=\"1\" rowspan=\"1\">234<\/td>\n<td colspan=\"1\" rowspan=\"1\">80%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Sprout Social<\/td>\n<td colspan=\"1\" rowspan=\"1\">2,031<\/td>\n<td colspan=\"1\" rowspan=\"1\">14.3%<\/td>\n<td colspan=\"1\" rowspan=\"1\">84<\/td>\n<td colspan=\"1\" rowspan=\"1\">175<\/td>\n<td colspan=\"1\" rowspan=\"1\">159<\/td>\n<td colspan=\"1\" rowspan=\"1\">79%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Brand24<\/td>\n<td colspan=\"1\" rowspan=\"1\">1,580<\/td>\n<td colspan=\"1\" rowspan=\"1\">11.2%<\/td>\n<td colspan=\"1\" rowspan=\"1\">41<\/td>\n<td colspan=\"1\" rowspan=\"1\">232<\/td>\n<td colspan=\"1\" rowspan=\"1\">110<\/td>\n<td colspan=\"1\" rowspan=\"1\">76%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Brandwatch<\/td>\n<td colspan=\"1\" rowspan=\"1\">1,419<\/td>\n<td colspan=\"1\" rowspan=\"1\">10.0%<\/td>\n<td colspan=\"1\" rowspan=\"1\">41<\/td>\n<td colspan=\"1\" rowspan=\"1\">230<\/td>\n<td colspan=\"1\" rowspan=\"1\">63<\/td>\n<td colspan=\"1\" rowspan=\"1\">76%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Apify<\/td>\n<td colspan=\"1\" rowspan=\"1\">1,198<\/td>\n<td colspan=\"1\" rowspan=\"1\">8.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">196<\/td>\n<td colspan=\"1\" rowspan=\"1\">176<\/td>\n<td colspan=\"1\" rowspan=\"1\">355<\/td>\n<td colspan=\"1\" rowspan=\"1\">39%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Vista Social<\/td>\n<td colspan=\"1\" rowspan=\"1\">842<\/td>\n<td colspan=\"1\" rowspan=\"1\">5.9%<\/td>\n<td colspan=\"1\" rowspan=\"1\">56<\/td>\n<td colspan=\"1\" rowspan=\"1\">19<\/td>\n<td colspan=\"1\" rowspan=\"1\">265<\/td>\n<td colspan=\"1\" rowspan=\"1\">60%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Sprinklr<\/td>\n<td colspan=\"1\" rowspan=\"1\">772<\/td>\n<td colspan=\"1\" rowspan=\"1\">5.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">30<\/td>\n<td colspan=\"1\" rowspan=\"1\">101<\/td>\n<td colspan=\"1\" rowspan=\"1\">24<\/td>\n<td colspan=\"1\" rowspan=\"1\">80%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Agorapulse<\/td>\n<td colspan=\"1\" rowspan=\"1\">447<\/td>\n<td colspan=\"1\" rowspan=\"1\">3.2%<\/td>\n<td colspan=\"1\" rowspan=\"1\">25<\/td>\n<td colspan=\"1\" rowspan=\"1\">19<\/td>\n<td colspan=\"1\" rowspan=\"1\">18<\/td>\n<td colspan=\"1\" rowspan=\"1\">86%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">BrandMentions<\/td>\n<td colspan=\"1\" rowspan=\"1\">306<\/td>\n<td colspan=\"1\" rowspan=\"1\">2.2%<\/td>\n<td colspan=\"1\" rowspan=\"1\">7<\/td>\n<td colspan=\"1\" rowspan=\"1\">60<\/td>\n<td colspan=\"1\" rowspan=\"1\">22<\/td>\n<td colspan=\"1\" rowspan=\"1\">71%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Onclusive<\/td>\n<td colspan=\"1\" rowspan=\"1\">274<\/td>\n<td colspan=\"1\" rowspan=\"1\">1.9%<\/td>\n<td colspan=\"1\" rowspan=\"1\">8<\/td>\n<td colspan=\"1\" rowspan=\"1\">99<\/td>\n<td colspan=\"1\" rowspan=\"1\">28<\/td>\n<td colspan=\"1\" rowspan=\"1\">51%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">YouScan<\/td>\n<td colspan=\"1\" rowspan=\"1\">212<\/td>\n<td colspan=\"1\" rowspan=\"1\">1.5%<\/td>\n<td colspan=\"1\" rowspan=\"1\">1<\/td>\n<td colspan=\"1\" rowspan=\"1\">50<\/td>\n<td colspan=\"1\" rowspan=\"1\">4<\/td>\n<td colspan=\"1\" rowspan=\"1\">74%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Octolens<\/td>\n<td colspan=\"1\" rowspan=\"1\">136<\/td>\n<td colspan=\"1\" rowspan=\"1\">1.0%<\/td>\n<td colspan=\"1\" rowspan=\"1\">12<\/td>\n<td colspan=\"1\" rowspan=\"1\">4<\/td>\n<td colspan=\"1\" rowspan=\"1\">10<\/td>\n<td colspan=\"1\" rowspan=\"1\">81%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Statusbrew<\/td>\n<td colspan=\"1\" rowspan=\"1\">47<\/td>\n<td colspan=\"1\" rowspan=\"1\">0.3%<\/td>\n<td colspan=\"1\" rowspan=\"1\">1<\/td>\n<td colspan=\"1\" rowspan=\"1\">2<\/td>\n<td colspan=\"1\" rowspan=\"1\">1<\/td>\n<td colspan=\"1\" rowspan=\"1\">91%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>All 14 tools<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>14,154<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>100%<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>741<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>1,592<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>1,508<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>73%<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Two patterns matter for the guide. First, when Threads is mentioned alongside these tools, the content is even more editorial: 93% of the 1,673 raw tool-plus-\"Threads\" matches are web pages, news or blogs, and only 1.3% are discussions. Buyers learn about Threads support from comparison articles, which is why an article that verifies sources adds value.<\/p>\n<p>Second, Statusbrew combines publishing and documented Threads keyword listening at the listed Premium price. They have the smallest footprint here: 47 mentions in 90 days. Its documentation is stronger than its visibility.<\/p>\n<h3>Finding 5: Price leads the conversation, and demand is rising<\/h3>\n<p>When practitioners discuss these tools, cost comes up first: 230 of 741 discussions (31%) mention price, budget or a dollar figure. Threads comes up in 1.8%.<\/p>\n<table>\n<colgroup>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Theme in tool discussions<\/th>\n<th colspan=\"1\" rowspan=\"1\">Discussions<\/th>\n<th colspan=\"1\" rowspan=\"1\">Share<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Price, cost or budget<\/td>\n<td colspan=\"1\" rowspan=\"1\">230<\/td>\n<td colspan=\"1\" rowspan=\"1\">31%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">API or scraping (mostly Apify)<\/td>\n<td colspan=\"1\" rowspan=\"1\">214<\/td>\n<td colspan=\"1\" rowspan=\"1\">29%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Accuracy, noise or missed posts<\/td>\n<td colspan=\"1\" rowspan=\"1\">68<\/td>\n<td colspan=\"1\" rowspan=\"1\">9%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Looking for alternatives<\/td>\n<td colspan=\"1\" rowspan=\"1\">56<\/td>\n<td colspan=\"1\" rowspan=\"1\">8%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Sentiment<\/td>\n<td colspan=\"1\" rowspan=\"1\">36<\/td>\n<td colspan=\"1\" rowspan=\"1\">5%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Threads as a platform<\/td>\n<td colspan=\"1\" rowspan=\"1\">13<\/td>\n<td colspan=\"1\" rowspan=\"1\">2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Price dominates most for publishing suites: it appears in 64% of Agorapulse discussions, 38% of Hootsuite and 37% of Sprout Social. That supports the guide's \"Seat-Tax Trap\" and same-workload cost sections. For listening-first tools it is lower, at 29% for Brand24 and 27% for Brandwatch.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6483\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research.png\" alt=\"social-listening-weekly-threads-brandmentions-research\" width=\"2280\" height=\"1128\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research.png 2280w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research-300x148.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research-1024x507.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research-768x380.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research-1536x760.png 1536w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/social-listening-weekly-threads-brandmentions-research-2048x1013.png 2048w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p>The wider category is growing. Mentions of \"social listening\" rose from a late-August average of about 390 a week to 775 in the week of 14 October, an increase of roughly 98% that has held above 640 since.<\/p>\n<h3>What this means for buyers<\/h3>\n<p>The data gives buyers three reasons to trust documents over reputation when choosing a Threads listener.<\/p>\n<ol>\n<li><strong>Peer reviews will not settle Threads coverage.<\/strong> With zero Threads posts about any tool and only a handful of Reddit posts naming Threads at all, there is no community record to check. The guide's procurement questions and the 20-minute coverage test fill that gap.<\/li>\n<li><strong>Visibility is a poor proxy for Threads capability.<\/strong> The tools most associated with Threads in published content are schedulers. Brand24 and Sprinklr document Threads keyword listening yet sit near 4% on Threads association, and Statusbrew has only 47 mentions in total.<\/li>\n<li><strong>Budget for price scrutiny early.<\/strong> Cost is the first theme in practitioner talk, especially for per-seat publishing suites. A same-workload cost comparison answers the question buyers already ask.<\/li>\n<\/ol>\n<p>The rising volume of \"social listening\" talk means more vendors will add a Threads logo soon. Each new claim should face the same test: a named permission, a published window and a stated delay.<\/p>\n<h3>Limitations and disclosure<\/h3>\n<p>This dataset comes from BrandMentions, which also publishes the guide and is one of the tools reviewed. Read the findings with that in mind; none of them ranks BrandMentions above another tool.<\/p>\n<ul>\n<li><strong>Index coverage, not the whole web.<\/strong> Counts reflect what the BrandMentions index holds. Threads may be collected less completely than Reddit, which would lower Threads counts. The 3.3% baseline is measured on the same index, so the comparison in Finding 1 is like for like.<\/li>\n<li><strong>Baseline from everyday words.<\/strong> The Threads baseline uses eight common terms on four days. A different word set would move it, but a baseline even a third as large still predicts about eight Threads posts against zero observed.<\/li>\n<li><strong>Name matching.<\/strong> Tool names were matched as exact phrases. Meltwater and Vista Social needed exclusions; some residual noise remains, mainly YouTube items whose title is only a video ID.<\/li>\n<li><strong>Platform-adjusted estimates.<\/strong> Finding 3 scales each tool's raw co-mentions by the platform share in up to 100 sampled documents, using a text rule. Platform-adjusted percentages are estimates based on sampled records and text classification. No confidence interval or classification-accuracy estimate is reported.<\/li>\n<li><strong>Theme tags are keyword rules.<\/strong> They count mentions of a theme, not opinion about it.<\/li>\n<li><strong>Window.<\/strong> 90 days ending 9 November 2026. A launch or outage outside that window would not show.<\/li>\n<\/ul>\n<h2 id=\"why-threads-is-harder-to-monitor-than-x-or-reddit\">Why Threads Is Harder to Monitor Than Other Platforms<\/h2>\n<p>Threads is a closed-by-default network wrapped in a permissioned API, which is why it behaves less like a social channel you can plug in and more like one source inside a wider <a href=\"https:\/\/brandmentions.com\/blog\/media-monitoring\/\">media monitoring programme<\/a> that also covers news, blogs, forums, reviews and video.<\/p>\n<p><strong>What is Threads social listening?<\/strong> Threads social listening is the practice of discovering, collecting and analysing public Threads posts and replies that mention a brand, competitor, product, campaign or topic, whether or not the author tagged the account. It is a different capability from Threads community management, which only covers replies and mentions on content you published.<\/p>\n<p>Threads launched in July 2023 with no developer API at all. The Threads API launched on 18 June 2024 at Cannes Lions, and within a single day Sprout Social had enabled it for more than 30,000 of its customers. That first version was about publishing and reading your own content. Keyword search arrived later, as a separate permission, with its own approval process.<\/p>\n<p>This history is why vendor feature grids are so unreliable. A tool that added a Threads checkmark in 2024 was almost certainly adding a scheduler. Reddit, by contrast, has had a public search surface for years, so listening vendors could plug in without asking you to log in.<\/p>\n<p>The audience is now large enough that the gap matters. Threads reached 500 million monthly active users in June 2026. That is a volume of product complaints, competitor comparisons and campaign reactions that mostly carries no @tag at all.<\/p>\n<blockquote><p>On Threads, stop asking whether a tool supports the platform. Ask which of the four Threads permissions it holds, whose quota it spends, and what happens the day Meta changes the limit.<\/p><\/blockquote>\n<h2 id=\"does-the-official-threads-api-actually-support-social-listening\">Does the Official Threads API Actually Support Social Listening?<\/h2>\n<p>Yes, and this is where most competing articles get the category backwards. Meta's keyword search endpoint requires <code>threads_basic<\/code> for making any calls to Threads API endpoints and <code>threads_keyword_search<\/code> for making GET calls to the keyword search endpoint, and it also supports topic tag retrieval: to perform a topic tag search, you use the <code>search_mode<\/code> parameter and set the value to TAG. Public posts from accounts you have never interacted with are genuinely reachable through official, sanctioned access.<\/p>\n<p>Three limits decide what you can build on it.<\/p>\n<p>First, approval. Meta states that each permission must first be approved through the App Review process, and your app must be published. Before that, the same endpoint returns only your own content, which is the single most misread behaviour in the documentation.<\/p>\n<p>Second, query volume, and the published figure has moved. Earlier Meta specifications documented rate limiting of 500 queries within a rolling 7-day period, and that number still circulates in developer write-ups. Current reporting against Meta's documentation puts it much higher: it needs the <code>threads_keyword_search<\/code> permission, and a user can make at most 2,200 queries per rolling 24 hours. Treat both as evidence that the ceiling is a moving target and write the number into your contract rather than your assumptions.<\/p>\n<p>Third, fields. The documented response for keyword search returns id, text, media_type, permalink, timestamp, username, has_replies, is_quote_post and is_reply. There are no likes, replies, reposts or views in that payload.<\/p>\n<p><strong>The Zero-Engagement Illusion.<\/strong> Any product built on official keyword search will show Threads mentions with no engagement numbers, because the fields are not returned, not because the post was ignored. Teams that triage by engagement will push every Threads mention to the bottom of the queue on day one. Sort Threads by recency and author follower count instead.<\/p>\n<p>Non-obvious consequence for your keyword strategy: fewer, sharper terms outperform long synonym lists. Every variant consumes query budget against a fixed ceiling, and both KEYWORD and TAG modes cost separately. Pick the two or three spellings people actually type, add one competitor, and spend what remains on the campaign tag.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/11\/image_03_ba88ceac.webp\" alt=\"Three sourcing paths for Threads listening compared as compliant, fragile, and blended pipelines.\" \/><\/p>\n<h2 id=\"decision-tree-which-threads-listening-tool-should-you-buy\">Decision Tree: Which Threads Listening Tool Should You Buy?<\/h2>\n<p><strong>If you are a solo marketer or a team of two with a monitoring budget under $150 per month:<\/strong> start with BrandMentions Starter at $99 per month billed quarterly, and know that it refreshes daily. Upgrade to hourly when alerting becomes a daily need rather than a weekly report.<\/p>\n<p><strong>If you are a 3 to 10 person marketing or comms team and reputation risk is the main concern:<\/strong> choose BrandMentions Expert at $499 per month for real-time collection across social, news, forums and video, or Brand24 Pro at $399 per month annually for 12 keywords and documented Threads limits. Pick Brand24 if you want the sourcing written down today. Pick BrandMentions if you want Threads inside one cross-channel real-time feed with sarcasm-aware sentiment and no overage risk.<\/p>\n<p><strong>If you are an agency managing five or more brands:<\/strong> run the coverage test on both, because the winner is keyword-dependent and nobody can predict it for your specific brand name. Add YouScan for visual-first clients, and keep publishing in a separate tool. Agencies tracking newer text networks usually end up with one listening layer across all of them rather than one tool per platform, which is the same conclusion most teams reach when they compare <a href=\"https:\/\/brandmentions.com\/blog\/bluesky-social-listening-tools\/\">Bluesky monitoring tools<\/a>.<\/p>\n<p><strong>If you already publish through Sprout Social, Agorapulse or Vista Social:<\/strong> keep them for publishing and the inbox. Add a listening-first tool for untagged detection rather than paying a per-seat listening premium for coverage none of them documents on Threads.<\/p>\n<p><strong>If you are an enterprise with a global insights or comms function:<\/strong> shortlist Hootsuite Lumen, Sprinklr, Brandwatch, Meltwater and Onclusive Social, then disqualify any vendor that will not show a live Threads keyword query and state the sourcing method, historical window and expected delay in the proposal. Buyers who reach this point having already outgrown one suite usually start their shortlist from <a href=\"https:\/\/brandmentions.com\/blog\/talkwalker-alternatives\/\">Talkwalker alternatives<\/a> rather than from a generic category list.<\/p>\n<p><strong>If you have engineers and a compliance mandate:<\/strong> build on Meta's Threads API, budget review time before the first collector, and bolt on a sentiment model. If legal clears public-page collection and you need engagement fields, start with an Apify actor on the free credit.<\/p>\n<h2 id=\"the-procurement-questions-vendors-should-answer-in-writing\">The Procurement Questions Vendors Should Answer in Writing<\/h2>\n<p>Use these in the demo. \"Yes, we support Threads\" is not an answer to any of them.<\/p>\n<ol>\n<li>Do you collect public Threads posts by keyword, or only owned-account content and @mentions?<\/li>\n<li>Which Threads permission do you hold, and when was it approved through App Review?<\/li>\n<li>Whose quota does collection consume, ours or yours, and what happens when it is exhausted?<\/li>\n<li>Show a live result for a brand keyword where the author did not tag the account.<\/li>\n<li>Do replies appear only when the reply contains the keyword, or do you reconstruct the conversation?<\/li>\n<li>What is the exact Threads lookback for keyword results, owned posts and @mentions, and is there a record cap as well as a date window?<\/li>\n<li>What is the expected delay from Threads publication to dashboard availability, at median and at peak?<\/li>\n<li>Can alerts fire on a Threads-only spike, or only on an all-source spike? Can sentiment be filtered to Threads alone?<\/li>\n<li>Does the system warn us when a Threads source stops collecting or an authorisation expires?<\/li>\n<li>Who is the upstream data provider, what are our export and retention rights, and what happens to collected posts when the original is deleted?<\/li>\n<li>Is Threads included in the quoted plan, or is it an add-on, an Enterprise source, or a Limited Availability feature?<\/li>\n<\/ol>\n<p>Question 9 is the one almost nobody asks, and it is the one that fails quietly. A tool that silently stops collecting Threads after a token expires looks exactly like a quiet week.<\/p>\n<h2 id=\"conclusion-buy-the-sourcing-method-not-the-checkmark\">Conclusion<\/h2>\n<p>Every tool in this guide can put the word \"Threads\" on a slide. Only a handful can tell you, in their own documentation, which permission they hold, whose quota they spend, what fields come back, how long the backfill runs and when the collection stops. On a network that returns a ranked sample with no cursor, no engagement fields and no archive, the sourcing method is the product. That is the whole ranking.<\/p>\n<p>The practical shift I would make in your evaluation this week is small and it changes everything: stop scoring vendors on features and start scoring them on evidence. Give one point for a help article that names Threads keyword collection, one for a published historical window with both a date range and a record cap, one for a stated collection delay, and one for a named minimum tier. Four points is a shortlist. Zero points is a logo.<\/p>\n<h2 id=\"frequently-asked-questions\">Frequently Asked Questions<\/h2>\n<h3 id=\"are-there-free-ways-to-monitor-threads\">Are there free ways to monitor Threads?<\/h3>\n<p>Only two, and both have real limits. Meta's Threads API is free to call once your app passes App Review, and Apify's free plan's $5 of monthly credit covers about 2,500 posts. Among commercial tools, Brand24 offers a 14-day trial without a credit card and BrandMentions offers a 7-day free trial, which is enough to run the coverage test before you pay.<\/p>\n<h3 id=\"how-far-back-can-social-listening-tools-pull-threads-data\">How far back can social listening tools pull Threads data?<\/h3>\n<p>Less than most buyers assume, and the answer depends on which kind of history you mean. Hootsuite publishes 400 days of backdata covering up to 5,000 posts for Threads keyword search, Brandwatch documents up to 400 days for owned posts and comments versus up to 14 days for brand mentions, and Brand24 collects nothing from before you connect your Threads account. Platform-wide archive claims of ten years or more refer to a vendor's general index, not to Threads, which only launched in July 2023.<\/p>\n<h3 id=\"which-social-listening-tools-detect-untagged-threads-mentions\">Which social listening tools detect untagged Threads mentions?<\/h3>\n<p>Among the tools reviewed, here are the ones that are documented to catche posts with no @tag: BrandMention, Brand24, Hootsuite Lumen on Enterprise, Sprinklr (Limited Availability) and Statusbrew.<\/p>\n<h3 id=\"does-brand24-monitor-threads\">Does BrandMentions monitor Threads?<\/h3>\n<p>Yes. BrandMentions documents Threads keyword listening, with AI sentiment on all plans from $99 per month billed quarterly.<\/p>\n<h3 id=\"can-hootsuite-listen-to-threads-keywords\">Can Hootsuite listen to Threads keywords?<\/h3>\n<p>Yes, but only on the Enterprise tier. Hootsuite's Threads Keyword Search inside Lumen Listening returns public Threads posts and comments matching your keyword with sentiment, themes and influencers, and it publishes 400 days of backdata covering up to 5,000 posts - the only specific Threads backfill allowance in this guide.<\/p>\n<h3 id=\"what-is-the-difference-between-threads-monitoring-and-threads-listening\">What is the difference between Threads monitoring and Threads listening?<\/h3>\n<p>Threads monitoring usually means owned-account coverage: your posts, your comments and posts that @mention your handle, which is community management. Threads listening means discovering public posts and replies for keywords and topic tags you do not own, including untagged brand, competitor and category chatter - and only an approved keyword search permission, named in a vendor's documentation, proves it.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Compare social listening tools for Threads by keyword monitoring, untagged mentions, pricing and coverage limits. See which tools document Threads listening.<\/p>\n","protected":false},"author":4,"featured_media":6473,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[136],"tags":[103,95,1087,123],"class_list":["post-6477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-social-listening","tag-media-monitoring","tag-social-listening","tag-threads","tag-tool-comparison"],"acf":[],"_links":{"self":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/comments?post=6477"}],"version-history":[{"count":9,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6477\/revisions"}],"predecessor-version":[{"id":6488,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6477\/revisions\/6488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/media\/6473"}],"wp:attachment":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/media?parent=6477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/categories?post=6477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/tags?post=6477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}