Used For

• +**Your checkout has 40% abandonment but you don't know where people bail** → Watch session replays to see exactly where users get confused or frustrated
• +**Users keep clicking non-clickable elements and leaving angry** → Heatmaps show you the dead zones people expect to work but don't
• +**A/B tests tell you what works but not why** → See the actual user behavior behind the winning variations
• +Records mobile app interactions automatically - no coding required to track taps, swipes, or crashes
• +AI summarizes hours of session footage into "users struggled with the search bar" insights

Best For

• >Your conversion rates suck and you have no idea why
• >E-commerce site losing money to mysterious cart abandonment
• >Product team tired of guessing what users actually want

Not For

• -Small sites under 50k monthly visitors — you're paying enterprise prices to watch 12 people browse
• -Startups wanting quick wins — takes 2-3 weeks to learn the dashboard and another month to act on insights
• -Anyone expecting cheap — no public pricing means "contact sales" which means expensive

Pairs With

• *Google Analytics (for traffic numbers while Contentsquare shows what people actually do on your site)
• *Hotjar (gets replaced because Contentsquare's autocapture beats manual heatmap setup)
• *Shopify (to fix the e-commerce friction points Contentsquare identifies)
• *Slack (where your team shares the most cringe-worthy user session recordings)
• *New Relic (links error logs to actual user sessions so you can see crashes happen in real-time)
• *Optimizely (to A/B test the fixes after Contentsquare shows you what's broken)

The Catch

• !You'll become addicted to watching session replays instead of fixing the obvious problems they reveal
• !The learning curve is steep enough that your marketing team will need dedicated training time
• !Integrates with everything but you'll still need a developer to connect it properly with your other analytics tools

Bottom Line

Records every user session like a security camera, then tells you why people abandon your checkout page at 2am.