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Sensor Tower's Full Funnel Digital Intelligence Playbook

Jun 4, 2026·3 min read

Summary

Sensor Tower's Full Funnel Digital Intelligence Playbook examines how home and lifestyle retailers deploy divergent digital strategies across web, mobile, and advertising channels, yielding several critical insights for ad ops professionals. First, the competitive landscape shows clear stratification: Wayfair maintains the largest 2025 web footprint, while growth leaders include Kohl's (+16% YoY) and Macy's (+10% YoY), intensifying competition at the category's top tier and signaling where consumer engagement is actively building. Second, channel strategy varies dramatically by brand positioning.

Macy's and Kohl's derive 42% and 38% of users from app-only channels respectively, while premium competitors Crate & Barrel and Williams-Sonoma rely exclusively or near-exclusively on web traffic, suggesting fundamentally different attribution and measurement challenges across competitors. Third, and perhaps most strategically significant, audience composition diverges even when raw metrics appear similar. Despite comparable app audience sizes, Macy's app users over-index heavily for Fashionista and Sneakerhead personas—trend-driven, style-conscious consumers—while Kohl's attracts Wholesale Shoppers, Shopaholics, and Home Cook personas, indicating a value-based, household-focused customer base.

The article teases the Digital Advertising analysis for the full report. Key takeaways: competitor benchmarking requires multi-dimensional analysis spanning web traffic, app engagement, audience composition, and advertising; identical KPIs can mask different strategic outcomes; and audience segmentation reveals true competitive positioning beyond surface-level metrics.

Analyst Note

The framing of this analysis matters because it surfaces a measurement gap that has widened significantly as signal loss accelerates across the digital ecosystem. Single-channel metrics—downloads, sessions, impressions—are increasingly insufficient for competitive benchmarking. The finding that Macy's and Kohl's maintain comparable mobile volumes yet serve fundamentally different shopper personas illustrates why raw audience size tells an incomplete competitive story.

What is notable here is the integration of audience intelligence with acquisition data. App-only user percentages (Macy's at 42%, Kohl's at 38%) signal different attribution challenges and measurement frameworks. UA teams tracking only install volume would overlook that these brands are optimizing for entirely different consumer segments, with implications for LTV modeling and creative strategy.

The strategic divergence between web-exclusive premium brands and app-engaged competitors also reflects broader e-commerce dynamics. As app-based personalization and retention mechanics mature, the cost-benefit calculus of pushing users into owned app environments versus optimizing web conversion continues to shift. The digital advertising piece teased for the full report will be particularly worth examining, given current signal-loss challenges across programmatic channels and the growing importance of cross-channel attribution in a fragmented landscape.

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