Conversion Analysis

Conversion Rate Optimization Checklist: 30 CRO Checks for Funnels and Tests

A practical CRO checklist for analysts who need to review conversion performance, avoid false conclusions, and recommend fixes or A/B tests.

What is a conversion rate optimization checklist?

A conversion rate optimization checklist is a structured review of measurement, funnel behavior, user segments, friction points, and experiment ideas. For analysts, the goal is not to list random UX ideas. The goal is to prove where conversion is leaking, estimate the size of the opportunity, and recommend the next action with enough evidence for a team to act.

Use this CRO checklist before recommending a test

Conversion rate optimization is not just changing button copy. For analysts, the job is to confirm the measurement, find the friction, estimate the impact, and recommend the next best action.

1. Confirm the metric

  • Is the conversion event clearly defined?
  • Is the denominator limited to eligible users?
  • Is the conversion window appropriate?
  • Are refunds, cancellations, or reversals excluded when needed?

2. Validate tracking

  • Did event names, triggers, or page routes change?
  • Are duplicate events inflating the numerator?
  • Are browser privacy settings, consent banners, or app versions affecting event capture?
  • Does backend order data agree with analytics events?

3. Find the funnel step

  • Which step explains the largest number of lost users?
  • Did the issue start on a specific date?
  • Did the issue affect mobile, desktop, app, or web differently?
  • Does the drop align with a release, campaign, pricing change, or outage?

4. Prioritize segments

  • Sort by lost conversions, not only conversion-rate decline.
  • Compare channel mix before and after the change.
  • Review new users and returning users separately.
  • Check high-volume countries and devices first.

5. Choose the right action

If tracking is broken: fix measurement first.
If one technical flow is broken: fix the bug.
If traffic quality changed: adjust targeting or landing pages.
If friction is plausible but uncertain: design an A/B test.
If the pattern is unclear: run deeper qualitative and event-path analysis.

6. Estimate the opportunity size

  • Calculate lost conversions at the weakest funnel step.
  • Estimate incremental revenue from a 5%, 10%, and 20% improvement.
  • Separate high-volume low-rate problems from low-volume anomalies.
  • Check whether the segment is large enough for an A/B test.
  • Compare the expected upside with engineering, design, and QA effort.

Common CRO test ideas

  • Simplify form fields or checkout steps.
  • Clarify price, shipping, cancellation, or trial terms.
  • Improve payment error handling.
  • Match landing-page promise to ad intent.
  • Add trust signals at the step with highest uncertainty.

FAQ

What should analysts check first in CRO?

Start with tracking and denominator quality. A conversion rate drop is not actionable until you know the numerator, denominator, event timing, and eligible user population are correct.

When should a CRO idea become an A/B test?

Run an A/B test when the issue is large enough to matter, the proposed change is not an obvious bug fix, and the traffic volume can support a decision in a reasonable time window.

Read next

Start with the full conversion rate analysis guide, then capture the evidence in the Conversion Analysis Cover Sheet. Use the funnel conversion rate SQL example to quantify drop-off by step. If the next step is an experiment, use the A/B analysis guide.