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.

89 businesses

Oraquo

Zafra, Extremadura

Oraquo es una herramienta innovadora que realiza el seguimiento y el análisis automático de opiniones en internet, buscando y…

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Pantoview

Atlanta

The trusted source for competitive analysis and competitor activity tracking.

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Pentos

New York, New York, United States

TikTok analytics made easy. Track users, videos, sounds, and hashtags on TikTok. Get notifications when content takes off. Build…

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Riviter

New York, New York, United States

Riviter gives brands predictive insight from social images. Our computer vision a.I. Recognizes people, products, and places to…

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Semeon Analytics

Montreal, Canada

Semeon is an AI-driven text analytics platform empowering customer experience #cx Semeon overcomes language complexity by…

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SocioViz

Verona, Veneto, Italy

Socioviz is a social media analytics platform powered by social network analysis metrics. Are you a social media marketer…

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SoMin.ai

London, England, United Kingdom

Somin is an AI-powered brand strategy and creative ideation platform that helps agencies develop stronger pitch ideas and deliver…

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Backup and analyze your Instagram stories.

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Analytics and marketing suite for the world's leading brands and influencers. Reach and engage your community and maximize…

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Tensor Social

Los Angeles, United States

Sign up now for a free demo at www.tensorsocial.com

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The Social TOP

Panama, Panama

Plataforma de medición, análisis y comparación de marcas a partir de ®Instagram y ®Twitter... Metricas, 🤳 influencers…

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Trendpop

Los Angeles, California, United States

Trendpop helps you stay ahead of the trend through its robust TikTok influencer marketing hub. Learn more about our social media…

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сервис социальной активности uptolike.ru позволяет вам установить кнопки социальных сетей в один клик. предоставьте своим…

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Viralspy

Tel Aviv

Grow organically on social media by finding data-driven viral content ideas with our software. Using data-driven analysis…

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The workado app will show you the pages on your blog have lost traffic and which have low core web vital scores that hurt your…

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Zavy

Auckland, Auckland, New Zealand

We’re zavy. And we believe in the promise of social media: brand building by two-way engagement and rich communication. Right…

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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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