Liftoff's PEPr program formalizes experimentation to deliver reliable, scalable performance improvements. David Wall explains how structured testing is critical amid rising complexity from privacy changes, auction dynamics, and creative formats. The program prioritizes experiments through a quarterly roadmap balancing 'Discovery' (exploratory tests like rewarded targeting) and 'Scale' (proven strategies like iOS 26 promo campaigns).
Each initiative starts with a clear hypothesis and predefined KPIs; validation requires measurable impact, clean execution, and repeatability. Common misconceptions include equating any account change with experimentation and expecting immediate results. Advertisers increasingly demand experiments that unlock incremental budget through durable performance gains.
The structured framework enables cross-regional comparison, turning isolated tests into scalable tactics. Key takeaways: use controlled setups to avoid short-term volatility, invest patience in volatile experiments, validate repeatability before scaling, and treat experimentation as a compounding system rather than one-off tests.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
Mobile UX is a commercial imperative: 90% of users abandon apps due to poor performance. For ad ops, UX directly impacts LTV and conversion—from onboarding to ad placement. Key metrics: retention, time-to-value, task completion. Actionable: simplify navigation, optimize load times, and align consent prompts (e.g., ATT) with context. UX improvements cascade across acquisition, retention, and revenue.
Early campaign metrics can mislead because they capture high-intent users first, while long-term performance depends on broader audiences and delayed monetization. Learning phases, monetization lag, and incomplete data make early ROAS unreliable. Ad ops teams should evaluate multiple completed cohorts and align optimization windows with conversion events to distinguish genuine trends from initial volatility. Sustainable scaling requires balancing early signals with patience for meaningful patterns to emerge.
Major sporting events like the Super Bowl create compressed advertising windows requiring structured preparation and disciplined execution. A leading prediction-market advertiser successfully scaled budgets using staged ramp-up, real-time optimization, and contingency planning. Key strategies included pre-mapped escalation plans, continuous pacing monitoring, and mid-stream adjustments to maintain performance stability. Post-event analysis highlighted the importance of centralized planning and trusted partnerships to navigate volatility. Advertisers who prepare structured approaches—budget scaling, pacing strategies, and clear KPIs—are best positioned to capture opportunities in upcoming events like March Madness and the FIFA World Cup.
Target ROAS campaigns often fail to scale due to unrealistic targets, budget cuts during learning, short data windows, or frequent structural changes. To scale, focus on three pillars: sufficient budget for exploration, flexible ROAS targets during early learning, and adequate data windows to capture long-term value. Avoid micromanaging; instead, provide stable signals and exploration capacity for the algorithm.
TikTok Market Scope is a full-funnel analytics tool integrating paid, organic, and branded data to map audience journeys from awareness to conversion. Key updates include dual-funnel views for TikTok Shop and web, upgraded Brand Perception with tentpole planning, and IP-level insights for theatrical brands. Data shows consideration audiences drive 1.8x more store visits, 1.5x higher sales response, and 4.2x higher incremental sales than awareness audiences. Actionable for ad ops: leverage Brand Consideration ads to scale mid-funnel audiences and use audience tags for precision targeting.
Short-term ROAS and long-term retention often conflict because early conversions don't guarantee long-term value. To balance both, extend the optimization window to 7-14 days, use mid-funnel signals to bridge gaps, and align optimization with monetization model (IAP vs. IAA). Shift focus from early signals to retention as campaigns stabilize, and define clear payback windows upfront to avoid misleading optimization.
At MAU 2026, the industry agreed that attention, not production, is the bottleneck. Cross-platform web-to-app attribution is now achievable with AppsFlyer's mobile-grade measurement extending to web, giving ad ops a unified view. AI is in production, with Square's team shipping six live workflows. Web-to-app is the most efficient top-of-funnel for app businesses, and retention overtakes acquisition. Ad ops must prioritize clean signal layers and incrementality testing over single-metric attribution.
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