AppsFlyerWhat the holiday shopping season taught us about smarter signals for 2026
Summary
The article challenges conventional performance marketing metrics, arguing that high click-through rates and installs during the holiday season often failed to predict actual revenue. Many teams optimized for activity (clicks, in-app events) rather than intent, leading to campaigns that looked successful but didn't drive business outcomes. The core argument is that surface-level digital signals are insufficient for identifying high-value customers.
Instead, brands should leverage real purchase data, such as transaction-based signals, to build smarter audiences. AppsFlyer's Signal Hub offers a privacy-safe marketplace for anonymized spend data, allowing brands to enrich their first-party data without exposing raw information. For example, an entertainment brand used purchase signals to acquire subscribers with proven willingness to pay, improving ROAS.
A gaming publisher re-engaged high-value players by targeting those with recent app store purchases, boosting Day 7 ROAS. Actionable takeaways: (1) audit current campaign metrics to ensure they correlate with revenue; (2) integrate purchase signals for audience building; (3) activate across major ad platforms via AppsFlyer. The shift is from campaign optimization to business optimization, focusing on real spending behaviors to drive measurable outcomes.
Analyst Note
This article underscores a critical inflection point for ad ops: the growing recognition that digital engagement metrics—clicks, installs, in-app events—are unreliable proxies for purchase intent. What's notable here is the convergence of two pressures: the post-IDFA privacy landscape, which has eroded deterministic attribution, and the rising cost of user acquisition, which demands more efficient spend. The key implication for UA teams is that the old optimization loop—targeting users who engage—needs retooling around actual transaction data.
Signal Hub's approach reflects a broader industry shift toward using anonymized, purchase-based signals (e.g., credit card transactions, subscription payments) to build high-value audiences without relying on third-party cookies or raw data sharing. For monetization strategists, this offers a path to improve ROAS by focusing on users with proven spending habits across categories—not just within a single app. The competitive angle: brands that adopt these signals early can gain a cost advantage by avoiding wasted spend on 'lookalikes' that don't convert.
Practically, this means rethinking how first-party data is enriched and activated via clean rooms or signal marketplaces, while maintaining privacy compliance. The timing is relevant as holiday post-mortems reveal the gap between vanity metrics and revenue.
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