Attribution
18 post(s)
-
App Store Marketing Weekly – Week 28 (2026)
This week’s theme: intent beats category labels. Whether it’s Apple Search Ads in UK finance or store creatives in retail, the job is the same, match a specific motive and measure it with the right level of certainty.
-
Your iOS attribution strategy in 2026: the uncomfortable ‘prompt gap’ (Kochava)
Kochava’s survey point is blunt: a lot of iOS ‘attribution loss’ is self-inflicted. If you are not prompting (or you ship the raw system ATT prompt with no context), you are choosing to run most of iOS as a black box.
-
DeepClick: Mobile attribution still works post-ATT, but you need to treat iOS as a different data product
A clear, nuts-and-bolts walkthrough of how attribution matches installs to ad clicks, why MMPs matter, and how ATT plus SKAdNetwork turned iOS into aggregated, delayed measurement that needs different expectations (and cleaner inputs).
-
Deferred deep linking after Firebase Dynamic Links: what actually needs rebuilding
A credited summary of Messageflow’s guide on replacing Firebase Dynamic Links post-shutdown: use platform-native Universal Links/App Links as the foundation, add a branded routing layer, and measure deferred deep linking as a funnel (click → install → first open with context), not as a click count.
-
IDFA in 2026: where it still works, and what you need when it doesn’t
Branch’s refresher on IDFA post-ATT, with a pragmatic message: use deterministic IDFA when you have consent, but plan measurement around SKAdNetwork coverage and a unified view across both.
-
iOS attribution in 2026: what ATT actually broke (and what still works)
A credited summary of Attriqs’ practical guide to attribution after ATT: why click-level truth is gone for most iOS users, how to think about SKAN vs AdAttributionKit, and the resilient stack (first-party + server-side + incrementality).
-
RevenueCat Charts v3 is a data pipeline rebuild, not a UI refresh (real-time charts, more stable history)
RevenueCat rebuilt its analytics infrastructure and is rolling out Charts v3: near real-time chart updates, cleaner subscription modeling across stores, and reporting changes like refunds no longer rewriting historic periods.
-
Mobile growth after privacy: stop chasing perfect attribution, build a signal system
Mobile Growth Association’s thesis: privacy didn’t remove data, it redistributed it. Winning teams integrate platform signals, cohorts, and incrementality tests into a single decision system.
-
Airbridge: why MMP pricing is still opaque (and how to evaluate it anyway)
Airbridge argues mobile attribution vendors keep pricing behind sales calls to protect margins, and lays out a simple ‘transparent pricing’ checklist for startup teams budgeting measurement.
-
Moburst: Mobile attribution in 2026 (what marketers actually need to know)
A practical snapshot of the 2026 measurement reality: iOS attribution is now AdAttributionKit-first with volume thresholds, Android still has deterministic signal (for now), and the only stable answer is a layered stack (platform postbacks + MMP SSOT + first-party + incrementality).
-
Airbridge: why ‘installs’ are not ROI, and what an MMP is actually for in 2026
Airbridge argues that the core measurement problem is trust (not data), and lays out why independent attribution plus cohort revenue is still the only sane way to make budget decisions under SKAdNetwork and signal loss.
-
RevenueCat: Appstack integration closes the loop from attribution to subscription revenue
If your MMP stops at installs, you end up optimizing spend for clicks, not LTV. RevenueCat’s Appstack integration maps attribution data into paywall targeting, and can forward subscription lifecycle events back to Appstack.
-
App Store Connect Analytics got better in 2026, but it still won’t answer your monetization ‘why’
A credited summary of FunnelFox’s breakdown of what App Store analytics is good for (visibility, installs, high-level subs) versus what remains structurally hidden post-ATT: attribution, creative-level revenue, and the steps between install and subscription.
-
SKAdNetwork 4.0: three postbacks, lockWindow, and what to change in your measurement plan
A credited summary of Airbridge’s SKAN 4.0 explainer: multiple conversion windows, earlier postbacks via lockWindow, and new coarse conversion values (plus the trade-offs).
-
Subscription growth in 2026: why install-level attribution is lying to you
Airbridge argues that subscription + AI apps should optimize channels by retention and LTV, not installs or trials, and explains where platform dashboards mislead post-ATT/SKAN.
-
Airbridge: why your attribution numbers don’t match (and how to stop arguing about dashboards)
Ad platforms, MMPs, and first-party systems measure different things. The fix is a measurement hierarchy, not forcing reports to reconcile perfectly.
-
AppsFlyer: real-time TikTok iOS optimization (and why ‘SRN real-time’ still needs reporting discipline)
AppsFlyer explains how its Advanced SRN can send faster conversion signals for TikTok iOS campaigns than waiting for delayed SKAdNetwork postbacks, plus the practical setup and caveats.
-
Google Privacy Sandbox update: Chrome is retiring several APIs (and doubling down on interoperable attribution)
Google’s Oct 2025 update retires multiple Privacy Sandbox technologies and shifts focus toward an interoperable attribution standard, plus CHIPS/FedCM and anti-fraud tooling.