Bloomreach × Arena
Bloomreach x Arena: From guesswork to precision targeting with 71% ROAS lift
71% increase in ROAS from Winter Sale campaign
Assumption-based targeting to evidence-driven channel allocation
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Why it works
The before-state is concrete and specific: four named problems, all rooted in not knowing which channel, audience, or message worked. The Clarity tag fits because the core pain was blindness to channel performance, not a declining metric or an impossible capability. The story then shows measurable wins across three distinct metrics, which keeps it from feeling thin. This is a mild coin-flip with Efficiency since budget waste is also a before-state, but Clarity wins because the framing leads with 'unclear channel allocation' and the payoff is 'measure exactly what drives results.'
Steal this
The side-by-side metric comparison between weblayers and email (CTR 10% vs 4.85%, CVR 3.5% vs 1%) is a clean structural move: it turns a vague claim about channel optimization into a falsifiable, readable proof point that any reader can immediately grasp.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Bloomreach's published work; we link to the source and lead with our analysis.