Liftoff's Performance Experimentation Program (PEPr) is a structured internal process that complements R&D by rapidly testing and scaling high-impact campaign optimizations. Ideas originate from operations teams who identify promising setups and strategies during customer work. Experiments focus on measurable KPIs like CPI, conversion rates, ROAS, and atypical metrics such as reinstall rates.
A standout success is the Hourly Pacing experiment, developed during a Super Bowl campaign for a sports-betting app. This custom solution enabled precise hourly spend control, meeting goals with near-perfect accuracy. Results were dramatic: 3x higher CTR, 5x improvement in impression-to-install efficiency (ITI), and over 30% better CPA. This approach has since been adopted across travel, iGaming, and eCommerce verticals.
Another notable initiative tested a high-percentile, revenue-based CPA model for High Value Users. The experiment demonstrated that more aggressive bidding on top-tier super-users could double campaign budgets while maintaining KPIs, particularly for gaming partners.
For ad ops decision-makers, PEPr offers actionable insights: leverage frontline observations for quick tests, prioritize metrics aligned with client goals, and scale proven strategies across accounts. The program shows how rapid experimentation can unlock performance gains that traditional product development might miss, turning promising ideas into scalable drivers of ROI.
Banking apps are vital digital channels requiring granular measurement to optimize user acquisition, engagement, and retention amid strict privacy regulations. Key challenges include measuring sensitive conversions, preventing fraud, and personalizing experiences without compromising compliance. Granular event tracking, deep linking, and anti-fraud solutions are essential. Banks must measure early-funnel milestones, re-activate dormant users, and leverage owned media for cost-effective re-engagement. Advanced attribution methods like SKAdNetwork, probabilistic modeling, and data clean rooms help navigate privacy changes. Effective measurement drives long-term customer value and validates mobile's impact on business outcomes.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
Aura Remarketing re-engages inactive app users via native on-device notifications, targeting high-value segments like in-app purchasers. It diversifies UA strategy by reactivating lapsed users (90% churn within 30 days). Key targeting: user type, demographics, device, download recency, engagement, and post-install behavior. Requires a performance link, redirect link, user criteria, bid, and KPIs. Currently supports notifications; future placements include Game Spotlight. No additional privacy steps needed.
Retail media success now hinges on measuring true incremental sales, not just ROAS. 71% of advertisers prioritize incrementality, yet many rely on legacy attribution. Traditional testing methods are manual, revenue-limiting, and incompatible with AI-driven optimization. AI-native ghost bidding—using randomized controlled trials during live campaigns—cleanly separates ad-driven impact from organic behavior. Early results show iROAS from 253% to 1,609%, with up to 29% of conversions being truly incremental. Best practices include statistical rigor, clean population definitions, comprehensive conversion tracking, and regular testing. Future-proof incrementality solutions will be privacy-compliant and integrated into ad serving.
AppsFlyer's Creative Optimization tool centralizes creative performance data, detects fatigue early, and enables cross-geo/network comparisons. AI-powered tagging dissects ads by elements like tone, content, and timing, revealing why ads succeed. This eliminates guesswork, improves budget allocation, and accelerates ad iteration for UA teams.
Messaging Ads on TikTok enable real-time conversations between businesses and customers via Direct Message or third-party apps like WhatsApp and Messenger. Benefits include shorter conversion paths, immediate lead qualification, and enhanced customer experience. Best practices include using Smart+ automation, replying within three minutes, and aligning creative with CTAs. Key results show up to 67% lower cost per conversation and conversion rates up to 22.5%. Available in select markets, these ads help drive measurable business outcomes.
New app developers must integrate monetization from day one, not after building a user base. Rewarded ads offer a value-exchange model that boosts retention. A hybrid of IAA and IAP creates sustainable growth, but requires careful design to balance user experience. Early revenue, even modest, should be reinvested into user acquisition. Continuous testing of ad formats and placements is essential. Partnerships with mediation platforms like Mintegral can maximize ad revenue without harming UX.
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