Paddle × Studocu
Paddle x Studocu: From false declines to 15% more revenue per user
15% increase in revenue per user
False declines and lost revenue to higher authorization rates and growth
Why it works
The A/B test structure is the story's strongest asset: Studocu split US traffic 50/50 between Paddle and the outgoing PSP, which gives the 15% revenue-per-user lift a controlled, credible foundation. The case study also handles a counterintuitive finding honestly, noting that Paddle's checkout conversion was lower yet overall revenue per user still rose, which makes the result more believable rather than less. The single COO voice throughout keeps the narrative tight and avoids the patchwork feel of multi-stakeholder quote-drops.
Steal this
Report the counterintuitive finding: Paddle's checkout conversion was lower, yet revenue per user still rose. Admitting a partial weakness while the headline number holds makes the result far more credible than a clean sweep story.
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Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Paddle's published work; we link to the source and lead with our analysis.