Used For

• +**Your Google Analytics shows web visits but misses the mobile app purchases** → See the complete journey from ad click to in-app revenue
• +**You're crediting the wrong campaigns because last-click attribution is lying** → Multi-touch models show which touchpoints actually matter
• +**Facebook says 100 installs, Apple says 60, reality is somewhere else** → One dashboard with the real numbers
• +Tracks across devices without storing personal data - uses privacy-safe user IDs instead of creepy tracking
• +SDK setup connects your app directly to ad platforms for real-time ROI data

Best For

• >Your Facebook and Google ad ROAS numbers don't match reality and your boss wants answers
• >App installs happen but you can't trace them back to specific campaigns
• >You're spending $5k+/month on ads but flying blind on what actually works

Not For

• -Web-only businesses - this is built for mobile apps and you'll pay for features you can't use
• -Teams without developers - you need someone who can integrate SDKs into your app code
• -Solo marketers running simple campaigns - Google Analytics is probably enough for your needs

Pairs With

• *Google Ads (where you'll finally see which keywords drive actual app revenue, not just clicks)
• *Facebook Ads Manager (to stop crediting campaigns that look good but don't actually convert)
• *Slack (where your team celebrates finally knowing which ads work and which ones to kill)
• *AppsFlyer (if you need deep linking on top of attribution, though there's some overlap)
• *Mixpanel (to track what users do after they install from your winning campaigns)

The Catch

• !Your developers will spend 1-2 days integrating SDKs and testing before you see any data
• !iOS privacy changes mean 30-50% less accurate tracking since people can opt out of ad tracking
• !Setup requires enabling ad IDs and APIs that some privacy-focused apps might not want

Bottom Line

Finally know which ads actually drive app installs instead of guessing why your ROAS is garbage.