Conversion Research Sprint
Funnel analysis, session replays, heatmaps, on-site polls and user tests across your top revenue templates. Output is a ranked list of friction points with revenue attached.
Grow · A structured test programme, not a pile of hunches
Same traffic. More revenue per visitor
We run a structured experimentation programme against your product, cart and checkout pages. Every test has a hypothesis, a sample-size calculation and a result you can audit.
The problem
Why your conversion rate is stuck
- Traffic is up, revenue is flat, and nobody can name the step where visitors drop.
- Changes ship straight to production, so wins and losses are indistinguishable.
- Your mobile conversion rate is less than half your desktop rate and has been for a year.
- Cart-to-checkout abandonment sits above 70% and the checkout has never been tested.
Conversion is in our name, so we will be blunt about how it works. Most CRO is a list of best practices applied without evidence: bigger buttons, a countdown timer, a trust badge row. Some of it wins. Most of it does nothing, and nobody measures which was which.
We run it as a programme. Quantitative research to find where revenue leaks, qualitative research to explain why, then a prioritised backlog scored on impact, confidence and effort. Tests run to significance or they get called. We publish every result, including the losers, because a method that only ever produces winners is not a method.
Median result across Conversion Optimisation engagements. Individual outcomes vary with baseline, budget and category.
Scope
What you actually get
No line item here is optional-extra padding. This is the standard shape of the engagement.
Prioritised Test Roadmap
Every hypothesis scored on impact, confidence and effort, with the projected revenue and required sample size stated up front. You always know what runs next and why.
Experiment Build & QA
Tests built and QA'd across devices, browsers and your app stack, with flicker-free rendering and no measurable hit to Core Web Vitals.
Statistical Analysis
Pre-declared sample sizes, sequential-testing guardrails and segment-level readouts by device, traffic source and new versus returning. No peeking, no calling a test at 80%.
Checkout & Cart Optimisation
Cart drawer, shipping thresholds, payment options, express checkout placement and post-purchase upsell, tested against AOV and revenue per session rather than clicks.
Monthly Programme Report
Tests run, results in full, cumulative revenue impact and what the results taught us about your customers. Losers are reported in the same detail as winners.
How it runs
The engagement, step by step
You will always know what week you are in and what lands next.
Measure
We instrument the funnel properly first. Most stores have broken or double-counted events, and you cannot optimise against numbers you cannot trust.
Research
Quant tells us where visitors leave. Qual tells us why. We combine analytics, replays and direct customer input before writing a single hypothesis.
Prioritise
Hypotheses are scored and sequenced so the highest-value, lowest-effort tests run first. The roadmap is shared and you can reorder it.
Test
Two to four concurrent experiments depending on traffic, each run to a pre-declared sample size. No test gets stopped early because it looks good on day three.
Implement & Compound
Winners get hard-coded into the theme, losers get documented, and every result feeds the next round of hypotheses. The programme gets smarter each month.
Quoted per engagement, never off a rate card
We do not publish a price for this, because the honest number depends on your catalogue, your stack and how much of the work is already done. You get a fixed statement of work with named deliverables and named dates before anyone starts — and we will tell you plainly if this is not the right first move for your brand.
Get this scopedTools we run this on
Shopify PlusIntelligemsConvert ExperiencesMicrosoft ClarityHotjarGA4Triple WhaleLucky Orange
Proof
Conversion Optimisation, in the wild
Anonymised at the client’s request. Metrics come straight from their own dashboards.
All case studiesPremium Skincare (DTC)
8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)
Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.
+41%mobile conversion rate1.62% to 2.28% over the first 90 days post-launch
5.4s → 1.8smobile LCP75th-percentile CrUX field data, not lab
+27%organic sessionssix months post-migration vs. pre-migration baseline, branded queries excluded
$108k/yrplatform cost removedhosting, extension licences and the standing emergency dev retainer
What we did
- Rebuilt the storefront on Online Store 2.0 with a custom section library. No page builder app, no theme bloat. Third-party scripts cut from 34 to 11.
- Mapped all 11,412 legacy URLs to 301s before cutover, preserved paginated collection canonicals, and rebuilt product and breadcrumb schema. Verified against a pre-migration Search Console baseline.
- Moved reviews and subscriptions to Shopify-native plus Recharge, retiring nine paid Magento extensions and their update tax.
- Ran a post-launch CRO program on PDP ingredient disclosure, cart drawer upsell and a rebuilt mobile checkout.
“Everyone told us a Magento migration costs you six months of rankings. We had ours back in five weeks, and the mobile site stopped quietly losing us money.”Head of Ecommerce, Skincare DTC
Performance Apparel (DTC)
~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus
Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
What we did
- Rebuilt the PDP around fit. Per-fit sizing tables, model height and size worn, and inline runs-small/true-to-size data mined from 4,100 existing reviews.
- Put variant-level availability and colour swatches on collection cards so shoppers stopped landing on sold-out PDPs.
- Replaced the cart page with a slide-out drawer, a free-shipping threshold set at AOV plus 18%, and exactly one relevant cross-sell.
- Rebuilt both ad channels around contribution margin and blended MER instead of platform ROAS. On Google, restructured the Shopping feed around fit and live variant availability so out-of-stock sizes stopped absorbing budget, and split brand from non-brand search. On Meta, killed six of eleven prospecting audiences and rebuilt the catalogue feed off the same variant data.
“Nobody had told us returns were a merchandising problem, not a product problem. Fixing the size chart made us more money than the ad account did.”Founder, Performance Apparel Brand
In their words
What clients said afterwards
CVR 1.9% → 2.7%
“We'd been running our own tests for a year and calling every 3% swing a win. The first thing they did was tell us our sample sizes were garbage, which was not a fun call to sit through. Six months later we're getting wins that actually hold up when you re-measure them. Sitewide CVR went from 1.9% to 2.7%.”
Founder & CEOApparel DTC brand, ~$12M/yr · Los Angeles, CA
Verified client, 2025FAQ
Conversion Optimisation — straight answers
Around 40,000 sessions and 800 orders a month is where a testing programme becomes statistically viable. Below that, tests take months to reach significance and you are better served by research-led redesign work and analytics fixes. We will tell you honestly which bucket you are in.
The first test goes live in week three, after research and instrumentation. Meaningful cumulative impact typically shows around month four, once six to ten tests have run. CRO is a compounding programme, not a one-month fix, and anyone promising otherwise is selling best practices.
Some do, and that is normal. A loser is still information: it rules out a hypothesis and sharpens the next one. We report losses in the same detail as wins because a programme that only ever produces winners is one that is not being measured properly.
On Shopify Plus, yes, via checkout UI extensions and Shopify Functions. On standard Shopify the checkout is locked, so we focus on cart, express payment placement, shipping thresholds and post-purchase offers, which is where most of the recoverable revenue sits anyway.
Not the way we implement it. Server-side or edge-rendered variants where the platform allows, and a strict script budget where it does not. We measure Core Web Vitals before and after every test and pull anything that costs more than 50ms.
No, and be careful with anyone who does. Too much sits outside our control: traffic quality, pricing, stock, seasonality. What we commit to is a defined test velocity, rigorous measurement and full visibility into every result, including the ones that did not work.
By location
Conversion Rate Optimisation where you trade
How we deliver Conversion Optimisation in each of the markets we work in — the local buying behaviour, the competitive set, and what changes because of it.
Miami Conversion OptimisationConversion Rate Optimisation in New YorkConversion Rate Optimisation in Los AngelesChicago, ILHouston Conversion Optimisationour Conversion Optimisation work in DallasAtlanta, GAAustin Conversion OptimisationConversion Optimisation for Phoenix brandsour Conversion Optimisation work in DenverConversion Rate Optimisation in SeattleSan Diego, CAour Conversion Optimisation work in AlbuquerqueWashington, DCConversion Optimisation for Philadelphia brandsConversion Rate Optimisation in BostonSan Francisco Conversion OptimisationRiverside Conversion OptimisationDetroit, MIConversion Optimisation for Minneapolis brandsConversion Optimisation for Tampa brandsSt. Louis, MOConversion Rate Optimisation in BaltimoreConversion Rate Optimisation in CharlotteOrlando Conversion OptimisationSan Antonio Conversion OptimisationPortland Conversion OptimisationSacramento Conversion OptimisationConversion Optimisation for Pittsburgh brandsConversion Optimisation for Las Vegas brandsour Conversion Optimisation work in Cincinnatiour Conversion Optimisation work in Kansas CityConversion Rate Optimisation in ColumbusConversion Optimisation for Toronto brandsLondon Conversion OptimisationSydney Conversion OptimisationConversion Rate Optimisation in DublinDubai Conversion OptimisationConversion Optimisation for Singapore brandsAmsterdam Conversion OptimisationConversion Rate Optimisation in Berlinour Conversion Optimisation work in ParisMadrid, SpainConversion Optimisation for Milan brandsConversion Rate Optimisation in ZurichConversion Rate Optimisation in Stockholmour Conversion Optimisation work in CopenhagenIstanbul Conversion Optimisation
Pairs well with
What usually comes next
These are the services clients most often add once this one is live.
01
Scale
Analytics, Tracking & Data
GA4, server-side tracking, Conversions API and consent mode implemented properly, plus reporting that ties every channel back to contribution margin.
Brands spending $30k+ on paid media
02
Build
Shopify Store Design & Development
Custom Shopify and Shopify Plus storefronts designed around your catalogue, built in clean Liquid, and launched with a measured conversion baseline.
DTC brands doing $1M-$20M a year
03
Grow
Meta Ads Management
Facebook and Instagram for Shopify brands: Advantage+ and catalogue campaigns, Conversions API signal repair, a creative cadence that outruns fatigue, and geo holdouts to check the claim.
DTC brands spending $50k+ a month on Meta
Next step
Ready to talk about Conversion Optimisation?
A continuous experimentation programme on your Shopify store: research, hypotheses, prioritised tests and every result reported in full, losers included.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.