App Store Connect Analytics got better in 2026, but it still won’t answer your monetization ‘why’

Original article (source): FunnelFox - “App Store Connect Analytics Guide: New Metrics & Remaining Limits” (Feb 26, 2026)

• https://blog.funnelfox.com/app-store-analytics-limits/

Summary

FunnelFox’s argument is that App Store analytics is good at reporting outcomes, but it is still weak for making monetization decisions because most context is either aggregated away (privacy) or simply outside Apple’s view (in-app funnel steps).

They break it into two buckets: what App Store analytics measures well, and what remains a blind spot.

What App Store analytics measures well (their list)

They call out store and account-level views that are generally reliable for trend tracking:

• Visibility and demand: impressions and product page views (useful for ASO changes, featuring, territory shifts)
• Installs and store-page conversion: first-time downloads, total downloads, and conversion rate
• Traffic source distribution: search vs browse vs campaigns vs banners / StoreKit promotion
• Geographic distribution: installs and sales by territory
• Subscription events (high level): starts, renewals, cancels, paying users (still aggregated)
• Revenue and proceeds: solid for finance and macro forecasting

What remains structurally hard (post-ATT)

Their core claim is that privacy-first aggregation means you can see “what happened” but not:

• attribution that connects a user to a campaign or creative
• creative-level revenue impact
• the mechanics between install and subscription (onboarding, paywall exposure, trial behavior, upgrades)
• cross-channel behavior (web, email, CRM, retargeting)

Their take on Apple’s March 2026 Analytics update

They acknowledge Apple’s March 2026 upgrade (IAP/subscription data, cohorts, peer benchmarks) narrows a few gaps, but they say the most important missing pieces remain:

• user-level attribution is still out of scope
• creative-level monetization insight is still missing
• the steps between install and paying are still not visible in store analytics

Why this matters

If your team debates pricing, paywalls, or offers using only App Store Connect charts, you are often arguing from delayed summaries.

This piece is a useful reminder to separate:

• metrics that are good for monitoring (store outcomes), from
• metrics that are good for decisions (funnel mechanics and experiment causality).

What to do next (tiny win)

Write down one monetization decision you want to make this quarter (for example, “is our free trial actually helping?”), then list the minimum evidence you need:

• one store-level outcome metric you trust (proceeds per download, download-to-paid), and
• one funnel-level metric you must capture yourself (paywall views, trial start, first value moment, cancel timing).

Read the original: https://blog.funnelfox.com/app-store-analytics-limits/