01
Funnel Diagnosis
Analytics, heatmaps and session recordings reviewed to find exactly where and why buyers drop off.
CRO & Store Optimization
Turn existing store traffic into more orders.
Conversion rate optimisation for Shopify stores: funnel and analytics diagnosis, heatmaps and session review, structured A/B testing, checkout and cart improvements, page speed work and merchandising changes — prioritised by expected revenue impact.
32%
Average conversion lift
4
Tests shipped per month
90+
Lighthouse score target
< 2s
Largest contentful paint target
Direct answer
Shopify conversion rate optimisation is the ongoing process of increasing the percentage of visitors who buy, without increasing traffic spend. It combines funnel and analytics analysis, session recordings and heatmaps, structured A/B testing of product pages, cart and checkout, page speed improvements, merchandising and trust-signal changes, and prioritisation by expected revenue impact. AKESTECH runs CRO as a continuous monthly programme with a testing roadmap, not a one-off audit.
What you get
Everything included, end to end.
02
Testing Roadmap
Every hypothesis ranked by expected revenue impact, confidence and effort, so testing effort goes to the highest-value changes first.
03
A/B Test Programme
Structured experiments on product pages, cart, checkout, offers and pricing presentation, run to statistical significance.
04
Checkout Optimisation
Checkout field reduction, express payment options, trust signals, shipping clarity and error handling improvements.
05
Speed Optimisation
Core Web Vitals work on images, scripts, fonts and app bloat, measured on real mobile devices.
06
Merchandising and Trust
Reviews, urgency, social proof, returns clarity, size guidance and product page structure that answer objections before they arise.
Diagnosis
Finding where your store leaks revenue
Conversion problems hide in specific places: the collection page nobody scrolls, the size selector that confuses, the shipping surprise at checkout, the trust gap on high-value products. We locate them with data — funnels, heatmaps and session recordings — before changing anything.
- Funnel analytics — Drop-off measured by device, step and traffic source to find the real leaks.
- Session review — Watching real shoppers struggle beats guessing from dashboards.
- Checkout forensics — Field-level analysis of where carts turn into exits.
- Baseline discipline — Clean before-and-after numbers so improvements are provable, not claimed.
Testing
A testing program, not random changes
One-off tweaks based on opinion produce one-off results. A ranked testing roadmap — every hypothesis scored on impact, confidence and effort — compounds month after month, and the results library means lessons survive team changes.
- Ranked roadmap — Testing effort aimed at the highest expected revenue first.
- Statistical rigor — Sample sizes calculated before launch, no early calls on partial data.
- Offer tests — Bundles, thresholds and guarantees, which move revenue more than button colors.
- Documented learning — Winners shipped permanently, losers recorded so they stay dead.
Foundations
Speed and trust: the multipliers
Testing cannot save a store that loads in six seconds or looks untrustworthy at checkout. Speed optimization and trust architecture run alongside experiments, because they multiply the return of every test that follows.
- Core Web Vitals — Image, script and app-bloat work measured on real mobile devices.
- Checkout trust — Express payments, shipping clarity, guarantees and error handling.
- Merchandising — Reviews, urgency, social proof and sizing placed where objections form.
- AOV mechanics — Bundles, thresholds and post-purchase offers lifting order value per test.
How we work
From audit to compounding results.
01
Measure
We establish a clean baseline: funnel drop-off by device and step, page speed, and current conversion and AOV figures.
02
Diagnose
Session recordings, heatmaps, analytics and checkout data are reviewed to locate the specific causes of drop-off.
03
Prioritise
Findings become a ranked testing roadmap ordered by expected revenue impact rather than how easy a change is.
04
Test
Experiments are designed, implemented and run to statistical significance, with losing variants recorded as learning.
05
Compound
Winners are shipped permanently, and the next round of tests builds on what the data revealed.
FAQ
Questions clients ask us.
Most stores see a 20% to 40% relative improvement over six to twelve months of sustained testing, though it depends heavily on how much optimisation has already been done. A store that has never been tested has more obvious wins available than one already running a mature programme.
This service is specific to Shopify stores and covers store-side conversion: product pages, cart, checkout, merchandising and platform speed. CRO & Experimentation covers the full marketing funnel including landing pages, lead forms and ad-to-page experience across every channel, not just the store itself.
We run structured A/B tests to statistical significance wherever traffic allows, and we record losing tests as well as winners. Where a store's traffic is too low for reliable testing, we say so and use sequential high-confidence improvements plus qualitative research instead of reporting meaningless results.
Below roughly a few thousand monthly sessions per variant, most A/B tests cannot reach significance in a reasonable time. In that case we prioritise high-confidence best-practice fixes, use session recordings and user testing to find obvious friction, and test bigger changes that produce larger effects rather than subtle ones.
Materially, particularly on mobile. Stores loading in under two seconds convert substantially better than those taking five or more, and the effect compounds with ad spend because slower pages waste the traffic you have already paid for. Speed work is usually among the highest-return items on a CRO roadmap.
Quick wins such as checkout friction, trust signals and shipping clarity often produce movement within the first month. Compound gains from a structured testing programme build over three to six months as winners accumulate and each round of tests is informed by the last.
Yes. We need admin access to the store or a development store, plus access to analytics and ideally heatmap and session recording tools. Everything is handled under NDA, and access can be scoped and revoked at any point.
No. Changes are implemented on a development store or via theme versioning, tested before release, and documented. We never test directly on your live theme, and every change can be reverted if it underperforms.
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