AppsFlyerAppsFlyer

How many in-app events generate the best performance?

By Jillian Gogel·Nov 14, 2019·6 min read

Summary

In-app event measurement is crucial for app marketing success, yet many marketers fail to measure enough events. Analyzing over 320 billion events from 12,000 apps, the report reveals that gaming apps average 5.3 events and non-gaming apps 7.8, far below the peak performance range of 16-30 events. Measuring more events enables better audience segmentation, campaign optimization, and funnel analysis.

However, non-gaming apps may face data overload if they measure too many events. The sweet spot varies by vertical, and continuous iteration is essential for maximizing ROI.

You Might Also Like

AppsFlyerAppsFlyer

Omnichannel Analytics Explained

Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.

Roi Tamir·Oct 5, 2026·12 min readRead article →
AppsFlyerAppsFlyer

Creative optimization: Why your best video ad fails as a static image

AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.

Shani Rosenfelder·Oct 19, 2026·9 min readRead article →
AdjustAdjust

Japan’s finance app growth in 2026 | Adjust

Japan's finance app category is outperforming, with H1 2026 installs up 8% YoY and sessions up 40%—nearly 5x the install growth and well ahead of global figures (5% and 29%). Stock trading is the standout subvertical: installs +90% YoY and average session length climbing to 11.7 minutes, driven by NISA reforms and a retail investor resurgence. Retention is improving across the full 30-day curve (D1 17% to 19%, D30 7% to 8%). For ad ops teams, the takeaway is clear: prioritize measurement depth, re-engagement, and channel-level quality over top-of-funnel volume alone.

Prashansa Shrestha·Sep 25, 2026·5 min readRead article →
AppsFlyerAppsFlyer

Pitfalls of modeling LTV and how to overcome them

LTV forecasting is challenging due to stale ML models and user heterogeneity. Effective systems combine ML, Bayesian methods, and secondary models to reduce bias and variance for accurate predictions.

Shani Rosenfelder·Jan 29, 2020·6 min readRead article →
AppsFlyerAppsFlyer

Cracking the 2026 Holiday Season: A Data-Backed Playbook for Marketing Leaders

Q4 2026 planning should treat peak shopping as a compressed event, not a week. Black Friday/Cyber Monday purchase lift runs 2–3x install lift, so ad ops must schedule by daypart and hour. Singles Day is not global: Brazil, UAE and Spain show real lift, while US/France barely react. CPI spikes hardest in supposedly cheap markets—Spain’s CPI rose nearly 50%. Remarketing already drives 65–92% of non-organic spend and rises during peak. Deep linking is critical: deep-linked users are ~2x more likely to purchase and spend nearly 3x more. Benchmark market CPI, shift budget to remarketing, and connect every entry point.

Stephanie Chevalier Naranjo·Oct 7, 2026·10 min readRead article →
AdjustAdjust

Measure installs across more app stores | Adjust

Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.

Marcella Coombs·Oct 8, 2026·4 min readRead article →
AdjustAdjust

Halloween app trends: Insights for your 2026 campaign | Adjust

Adjust's Halloween 2025 data across six weeks shows the holiday window opens well before October 31 and differs by category and market. Entertainment installs peaked the weekend before Halloween (up 42–44% vs. summer baseline), with OTT/streaming and video content installs up 120% on October 25 and 300% YoY. Photo and video sessions instead spiked on Halloween night itself (+6% global vs. the four prior Fridays; Canada +15%, Germany +13%, U.K. +11%, U.S. +9%, Mexico +7%). Single global send dates miss market-level peaks, so ad ops should time creative, push, and budget shifts per market—especially in Mexico, where activity runs through Día de los Muertos.

Prashansa Shrestha·Oct 5, 2026·6 min readRead article →
MintegralMintegral

Retargeting: How to Reactivate Three Different Types of User

Retargeting spend is rising—AppsFlyer reports $31B and 29% of app marketing spend in 2025, up from 25%—because UA costs are inflated and retention now drives LTV. For ad ops decision-makers, success requires segmenting users into active, dormant, and lapsed cohorts and tailoring campaigns rather than using generic messaging. Active users respond to offers and release notes; dormant users need incentives to return; lapsed users require balanced ads and incentives, with disengagement timing identified. A free-to-play example shows refining LTV-based targets can improve long-term ROI. Treat retention as a core LTV lever.

Jenny Lin·Sep 30, 2026·4 min readRead article →

More from AppsFlyer