Conversion Rate Optimisation and Checkout Performance

Experiments that resolve, and the naira the checkout is losing. 8 modules and a practical lab, about 20 guided hours.

What you’ll be able to do

• Run a structured conversion research programme combining drop-off data, session replay, on-page polls, WhatsApp transcripts and support tickets.
• Convert research findings into a ranked, falsifiable hypothesis backlog with a stated mechanism and metric per line.
• Calculate required sample size, minimum detectable effect and duration before launching, and reject tests that cannot resolve.
• Distinguish a real result from one manufactured by peeking, segment mining or multiple comparisons.
• Choose and design a valid non-experimental evaluation when traffic is too thin to split-test.
• Audit a Nigerian checkout rail by rail and quantify the revenue lost at each friction point, separating friction from inability to pay.
• Specify a WhatsApp recovery sequence with opt-in, exit conditions and a holdout, and report only its incremental revenue.

What’s inside

8 modules + lab · around 20 hours