Scientifically proven conversion uplifts for your Shopify store. We design, run and analyse A/B tests on product pages, collection pages and checkout to find changes that consistently increase revenue.
Without A/B testing, store changes are based on assumptions. The assumption that adding a badge increases conversion, or that a different CTA colour performs better, is often wrong. A/B testing removes the guesswork and gives you statistically valid evidence for every change made.
Test hypotheses written based on analytics data, heatmaps and UX audit findings. Prioritised by expected impact.
A/B test configured on the target page. Variant designed and implemented. Statistical significance threshold set.
Test runs until statistical significance reached. Minimum 2 weeks, minimum 100 conversions per variant.
Winner declared and implemented. Learnings documented. Next test hypothesised from results.
Audit plus test backlog
One-time fee
2 A/B tests per month
/month, 3-month min
4+ A/B tests per month
/month, 3-month min
Tell us about your store and conversion goals. We reply within 24 hours.
Prioritise by traffic volume and conversion impact: (1) Product page (highest traffic, direct purchase intent). (2) Collection page (large entry point). (3) Cart (high intent, close to purchase). (4) Checkout (direct revenue impact but limited Shopify Plus access without Plus plan).
Minimum 2 weeks to account for weekly seasonality. Minimum 100 conversions per variant for statistical reliability. For low-traffic stores under 1,000 monthly sessions, true A/B testing is not viable. We advise on alternative approaches for low-traffic stores.
We use Google Optimize (while available), Convert.com or native Shopify theme variant testing depending on the nature of the test. For checkout testing, Shopify Plus is required for native support.
One test per page at a time. Running multiple tests on the same page produces conflicting data. We maintain a prioritised test backlog and sequence tests logically.
A 10-15% conversion rate uplift from a single test is achievable for well-run tests with good hypotheses. Over 12 months of systematic testing, compounding uplifts of 30-50% total conversion improvement are realistic.