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.

4 businesses

DataEQ

London, England, United Kingdom

Dataeq uses a crowd of humans to label millions of unstructured data points. This trains our cutting-edge AI to do remarkable…

4.7 19 reviews

BuzzSumo

Brighton, England, United Kingdom

Create #content that understands the assignment 💁♀️📝 manage your #mediamonitoring 📰 try buzzsumo, used by 100k+ #digitalpr &…

4.5 95 reviews

Minter.io

Lincoln, England, United Kingdom

Beautiful Twitter, Facebook, LinkedIn, TikTok and Instagram analytics reports, data exporting, benchmarks, hourly updates and…

4.5 1 reviews

Locowise

London, England, United Kingdom

The locowise team is passionate about social media analytics. Not your everyday "measurement for the sake of measurement" but…

4.3 4 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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