Sub-Category

Social Media Analytics Software

For teams and agencies who need to prove what their social media activity is actually doing, and compare it against competitors, in one place.

9 businesses

Sotrender

Warsaw

Sotrender is a social media analytics software that helps marketers: Analyse current performance and ongoing campaigns (paid and…

4.8 94 reviews Subscription

quintly

Hamburg, Hamburg, Germany

Quintly is now facelift data studio. Please follow facelift at our main page: https://www.LinkedIn.com/company/facelift-brand-buil…

4.7 63 reviews

Socialinsider

Bucharest, Bucureşti, Romania

Socialinsider helps senior social media leaders instantly analyze competitors and industry performance, so they know what’s…

4.6 96 reviews

Iconosquare

Limoges, Nouvelle-Aquitaine, France

Iconosquare is your analytics-first social media management platform, built to help you schedule, analyze, report, and monitor…

4.5 110 reviews

Measure Studio

Chalfont, Pennsylvania, United States

Next generation social media content intelligence and data analytics for media, brands, and agencies. Supporting TikTok…

4.5 30 reviews

Omnilink

Limoges, Nouvelle-Aquitaine, France

Iconosquare is your analytics-first social media management platform, built to help you schedule, analyze, report, and monitor…

4.5 110 reviews

Vaizle

Newark, Delaware, United States

Vaizle's AI meta ads agent helps marketers analyze Facebook & Instagram ads effortlessly - no dashboards, no spreadsheets, no…

4.2 34 reviews Subscription

Fanpage Karma

Berlin, Berlin, Germany

The only social media tool you'll ever need. Manage, analyze, engage, publish, and research - all in one place. No juggling, no…

4.1 20 reviews Freemium

ManageFlitter

Sydney Streets, New South Wales, Australia

Manageflitter is a web-based application that assists users in working smarter and faster with Twitter. With rock solid…

4.1 19 reviews

These are the vendors that build the dashboards and reporting tools marketers use to make sense of what's happening on Instagram, TikTok, X, Facebook and LinkedIn — pulling data through each platform's API, tracking follower growth, engagement rates, reach and post-level performance, and turning it into reports that someone outside the marketing team can actually read. Some also cover social listening: scanning public mentions, comments and hashtags across the web to gauge sentiment or catch a brand crisis early, not just what happens on the accounts you own. A few extend into adjacent territory like link-in-bio tracking or influencer vetting, because the same audience-and-engagement data is useful there too.

The person who ends up looking for this has usually hit the limits of what the platforms themselves show you. Instagram Insights or native analytics on X tell you about one account, for a few months, with no way to compare it to a competitor's or to last year's numbers. If you run several brand accounts, or you're an agency reporting to a dozen clients, you're stuck exporting numbers into spreadsheets every week, and the exec asking "is this working?" gets an answer built on guesswork rather than data. Others arrive because a launch or a crisis produced a spike in mentions or comments and nobody had a system for reading sentiment or volume in real time.

Providers in this space split mainly along two lines: whether they analyse owned accounts (your posts, your engagement, your growth) or also listen across the open web for unprompted mentions and sentiment, and whether they're built for in-house marketing teams or for agencies managing many client accounts at once. The owned-analytics tools tend to win on clean historical data, benchmarking against named competitors, and exportable client-ready reports; the listening tools win when the problem is reputation or crisis-related rather than performance-related. Worth comparing on: which platforms and how far back their API access actually reaches, whether pricing scales by number of profiles or volume of mentions, how good the competitor benchmarking really is versus just self-reported metrics, and whether white-labelled, multi-client reporting is a core feature or an afterthought.

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