Summary
The role of user acquisition (UA) managers has evolved with challenges in optimizing campaigns and measuring user quality. They use BI tools and third-party tech to balance cost per user against LTV, but often rely on intuition due to data gaps. Campaigns target user cohorts via ad networks or platforms like Facebook, with attributes like budget and bid price.
Performance is measured through KPIs like engagement and revenue. Key challenge is the delay in LTV estimation, requiring 7-14 days of clean data for insights, causing potential money loss. Predictive analytics offers a solution by correlating early user behavior with long-term LTV using deep learning, but requires vast data and computing resources, limiting accessibility.
AppsFlyer leverages its unique position to provide unbiased predictive insights in minimal time.
You Might Also Like
AppsFlyerEverything a developer needs to know about deep linking
Attribution identifies user sources via third-party SDKs. Deep linking uses that data to route users to specific app content. Deterministic matching offers 100% accuracy; probabilistic uses statistics. Key mechanisms include URI schemes, Universal Links, and App Links.
AppsFlyerThe marketer’s field guide to mobile ad fraud
Mobile ad fraud wastes billions yearly. Categories: attribution hijacking (real users, fake clicks) and fake installs (bots, device farms). Fraudsters evolve, exploiting industry complexities. Key to combat: education, secure SDKs, post-attribution detection.
AppsFlyerMarketing attribution: what it is and how to measure it
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
MolocoInside Moloco's CARA: the AI that compounds
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.
AdjustA guide to user testing for mobile apps | Adjust
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
MetaApple’s iOS 14 Changes Are Almost Here: How to Finish Preparing and What’s Changing
Facebook changes due to iOS 14.5 include restricted measurement, limited campaigns (9 per app, 8 web events per domain), and need for SDK updates. Advertisers must act to avoid disruption.
MetaSpeaking Up for Small Businesses
Apple's iOS 14 policy forces apps to show a prompt discouraging tracking, harming personalized ads crucial for small businesses. Facebook argues it's profit-driven, exempts Apple's own ads. This may force free services to charge, hurting small businesses and content creators.
AdjustAdjust x OpenAI Ads Manager integration for ChatGPT Ads | Adjust
Adjust now supports ChatGPT Ads measurement, enabling advertisers to attribute installs and post-install events from campaigns within ChatGPT. The integration provides URL templates for clicks and impressions, and uses the Conversions API to report conversions back to OpenAI. Advertisers can configure the module in Adjust by entering API credentials and mapping events. This allows tracking of key metrics like impressions, clicks, spend, CTR, CPC, and CPM, making ChatGPT Ads a measurable, data-driven channel for user acquisition.
More from AppsFlyer
Five marketing lessons from football’s biggest tournament
Mobile engagement during the football tournament was fragmented, not continuous, with spikes lasting ~3 minutes around g...
Marketing attribution: what it is and how to measure it
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias disto...
The Optimal Tech Stack for the AI Era
Ad ops decision-makers face four structural problems in marketing stacks: platform fragmentation, channel silos, funnel ...
6 reasons why mobile apps set the gold standard for omni-channel measurement
Mobile app measurement has solved the single-channel problems that plague other digital channels—independent attribution...
80% of Fintechs have adopted AI in marketing, but only 29% got results. Here’s the kit that closes the gap.
Most fintechs (80%) use AI but only 29% see results due to data fragmentation and unclear priorities. Successful teams s...
Cross-platform measurement: the complete guide for 2026
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misa...