Braze × ConsumerAffairs
Braze x ConsumerAffairs, AI agents unlock revenue from the hardest-to-reach 15%
136% increase in revenue per send over 12-week test
Manual, low-scale drudgery to automated personalization for hard-to-reach users
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Why it works
The case study earns its Breakthrough tag because the headline metric is revenue going up sharply, not costs going down, even though the efficiency angle (49% fewer emails, 20-25 hours saved weekly) is substantial enough to flag as secondary. The mechanism is explained in genuine detail: the progression from a single-agent category recommender to a five-agent Canvas with lead scoring, frequency tiering, and Catalog-driven dynamic assembly gives readers a replicable blueprint. The phased test structure, comparing single-agent versus five-agent results across two six-week periods, adds analytical credibility that most vendor case studies skip.
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The two-phase test design that compares single-agent versus multi-agent results side by side. Reporting both phases separately before combining them into a 12-week aggregate lets the story show incremental improvement rather than a single before-and-after, which makes the causation argument much stronger.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Braze's published work; we link to the source and lead with our analysis.