Conversion rate optimization.
Conversion rate optimisation through structured A/B and multivariate testing across cart, checkout, PDP, landing pages, and email. Calibrated to restricted-market buyer audiences who are typically more research-driven and more sceptical than unrestricted-ecom buyers — the CRO playbook is materially different from the standard SaaS or DTC stack.
Get in touch→- Service code
- SVC-008.3
- Parent service
- Sales ops →
- Coverage
- 18 verticals
- Engagement modes
- Retainer · Project · Partnership
- Reply window
- < 24h on enquiries
- A test queue prioritised by traffic volume and revenue impact, not by gut feel
- A/B and multivariate testing across cart, checkout, PDP, and landing pages
- Restricted-market buyer-audience calibration baked into test design
- Quarterly CRO roadmap so you know what’s coming next
- Performance reporting tied to revenue, not surface metrics like CTR
- 01
Baseline and prioritisation
Current conversion rates by funnel stage, by traffic source, by device. Identifies the biggest revenue leaks and prioritises tests there first.
- 02
Test design
Hypothesis-driven, not random. Each test ships with a documented hypothesis, a primary success metric, and a sample-size requirement that produces statistically meaningful result.
- 03
Execution
GTM / Optimizely / VWO / Google Optimize replacement. We run the tests, monitor them, kill them when results are clear.
- 04
Iteration
Winners shipped to production, losers documented (so we don’t test the same losing hypothesis twice). Test queue refreshed quarterly.
01 How much traffic do I need to run CRO?
For meaningful A/B on a 10% conversion rate: ~2,000 unique visitors per variant per week, ~6–8 weeks per test. Below that, you’re testing noise. Smaller operators get more value from architectural improvements and qualitative research than from formal A/B testing.
02 What lift should I expect?
Annual aggregate lift on a well-run CRO programme: 15–40% conversion improvement. Individual tests usually show 3–15% lift; compound effect over 4–6 tests per quarter.
03 Will Google penalise my A/B tests?
If implemented correctly, no — server-side variant routing or canonical-aware client-side. Bad implementation (visible content swaps, no canonical) can trigger duplicate-content flags. We do it right.
Tell us about it.
Drop a quick brief or write directly: contacts@despitemarketing.com. Telegram @despitemarketing. Signal @despitemarketing.