CRO, with the whole app in view.
Conversion Rate Optimization solves funnel drop-off and conversion friction across the entire user journey. When an app suffers from low conversion rates, pouring more money into paid acquisition simply wastes budget into a leaking bucket. Teams often guess at design changes or copy updates without a structured experimentation methodology, resulting in inconclusive changes that fail to move the needle on registered users or paying customers.
What we can take care of
- Full-funnel conversion audit mapping user drop-off across store listings, onboarding, and monetization screens
- Heuristic usability evaluations and session recording analysis identifying UI friction points
- Prioritized hypothesis test backlog scored by potential impact, implementation effort, and statistical validity
- High-fidelity UI/UX design variants for app store assets, onboarding steps, and paywall layouts
- Statistical sample size calculations and Minimum Detectable Effect (MDE) planning prior to test launch
- Client-side and server-side experiment configuration across native and third-party testing tools
- Detailed post-experiment statistical analysis separating true conversion lift from random sample noise
How we approach the work
We practice CRO as a systematic, hypothesis-driven scientific discipline. We first conduct quantitative funnel drop-off audits alongside qualitative session analysis to isolate the biggest conversion bottlenecks. We formulate specific psychological hypotheses for improvement, design high-fidelity test variants, and calculate required sample sizes before launching experiments. Every test runs to statistical significance, after which winning variants are codified into baseline production.
What progress looks like
Store listing visitor-to-install rate, onboarding step completion rate, paywall impression-to-purchase conversion rate, and overall revenue per acquired user.
Before we begin
Share your app links, the challenge and the outcome you want. Your concierge will confirm inputs, deliverables, timing and costs for your scope before work begins.
How is CRO different from A/B testing?
A/B testing is the statistical experimentation mechanism used to compare two or more variants. Conversion Rate Optimization (CRO) is the broader strategic framework that includes user research, analytics audits, psychology-backed hypothesis generation, UX design, and post-test behavioral analysis. A/B testing is simply the tool that validates CRO hypotheses.