Service template
Improve store and landing-page conversion
The illustrative app has strong ad clicks but weak store conversion in a new language. The listing promise differs from the advertised benefit.
Request a first consultationBusiness result
More activated customers per eligible visitor without weakening retention.
- Next step
- Design a controlled test
- Working output
- Project brief
- Unit of analysis
- Assigned visitor × market × listing or landing-page variant
- Decision owner
- Growth Product and Store Optimization Lead
Controlled test design
- Hypothesis: Test one localized listing or landing-page change with protected downstream outcomes.
- Comparison: Concurrent eligible visitors assigned to the current and proposed variant
- Specify assignment, group overlap, exposure and contamination checks.
- Choose a primary metric, detectable effect and completed outcome window before calculating sample size.
- Set risk budget, guardrails, checkpoint and stop or restore conditions.
Acceptance checks
- Eligibility, variant assignment and primary conversion are defined.
- Downstream quality and retention remain protected.
- Decision owner, risk budget, guardrails, checkpoint and restore condition are specified.
- Assignment, detectable effect and outcome horizon are specified before the test starts.
Deliverables
- A pilot design with success and stop criteria
- Agreed scope, source requirements, responsibilities and acceptance checks.
- A working brief for a readiness and delivery conversation, not a completed investigation.