Encore adapts across SKAN, Android, and real-time attribution environments. On iOS, models use contextual signals and synthetic data to maintain prediction accuracy without IDFA. Non-attributed installs are matched to auction context using a proprietary data pipeline, enriching training data and improving model performance even under signal scarcity.

Encore's models learn from data, and human analysts stay active throughout the campaign. They monitor calibration curves, identify outliers, reallocate budgets between segments, and direct traffic toward the cohorts with the highest projected returns. This supervision layer is what keeps Encore aligned to your actual business goals rather than just historical model patterns.

Campaign learning runs across three phases: Exploration, Optimization, and Scaling. Most campaigns show meaningful optimization movement within the first two weeks, with performance compounding as models accumulate signal across inventory sources and user segments.

Yes. Encore is the shared infrastructure powering mobile user acquisition, retargeting, and CTV campaigns. Audience signals, bidding logic, and performance learnings carry across products so campaigns across channels learn from each other.

Every bid Encore places is tuned to real revenue, not just event counts. The underlying model predicts LTV in stages — first estimating the probability of a key event like an install or purchase, then estimating the expected revenue from that event. For IAP campaigns, purchase revenue given purchaser; for IAA campaigns, ad revenue given ad viewer. The result is a single bid score that reflects what a user is genuinely worth to your business.

Encore trains on attributed data with time windows calibrated to each campaign type. For retargeting, LTV prediction draws on a significantly longer behavioral window than standard attribution, capturing patterns that shorter windows miss. For UA, post-install models combine attributed and non-attributed data to handle the cold-start phase, so new campaigns benefit from cross-app learning from day one.