Find what to improve
Growth stalled. Find what to improve first
UserApproved combines business performance, shopper behavior, customer context, and real-browser investigation to separate what should be fixed now, tested next, or investigated further.
Start with your storefront. Connect business or replay data when you want a stronger diagnosis.
Evidence collected
Several causes were plausible
Show delivery cost before checkout
Evidence collected
Several causes were plausible
Checkout abandonment
Paid traffic to a $0 revenue page
Mobile checkout obstruction
Qualified growth program
Evidence becomes a decision, not another idea list.
Customer result
Patio Productions
Customer result
The problem was not one obvious failure
The team had traffic, data, and plenty of theories. UserApproved helped connect the evidence into a prioritized roadmap that carried into its Magento-to-Shopify migration.
“There was no big obvious reason the conversion rate would be declining.”
12
viable changes found
6
implemented
400%
conversion increase
Evidence to decision
The metric is an input. The decision is the product
UserApproved tests competing explanations before they become work for your team.
See what moved
Read revenue, conversion, funnel, source, and cohort performance in context.
Find the behavior behind it
Use replay patterns and customer context to narrow the plausible explanations.
Verify the journey
Investigate the hypothesis in a real browser before treating it as a recommendation.
Decide what comes next
Separate what should be fixed now, tested next, or investigated further.
A qualified backlog
Not another list of CRO ideas
Anyone can generate recommendations. The hard part is deciding which idea has enough evidence, expected impact, and practical value to deserve action.
Evidence is strong and the customer or revenue risk is material
High-AOV retailer
A material delivery fee first appeared at checkout. Make the cost clear earlier or remove the surprise before sending more traffic.
The opportunity is credible, but the best solution still needs validation
Craft retailer
Pattern downloads showed strong project intent but no clear purchase path. Test a post-download offer with the exact yarn and skein quantity, then measure attachment.
The signal matters, but the evidence is not yet strong enough to act
Large-catalog retailer
Headline conversion looked like a storewide UX failure, but automated traffic distorted the funnel. Rebuild the analysis around verified shoppers before deciding what to redesign.
What the diagnosis can uncover
Broad enough to find the pattern. Focused enough to choose the work
Hidden demand
Find high-intent behavior that is not turning into purchase.
Journey and cohort gaps
See where device, source, geography, or customer status changes the outcome.
Repeated objections
Turn customer questions and behavior patterns into qualified experiments.
Give the next sprint a better reason
Start with a free storefront audit. Add your business and behavioral data when you are ready for deeper impact and prioritization.