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.
St. Louis, MO
Conversion Rate Optimisation in St. Louis, MO
Most stores in this metro do not have the traffic for endless A/B tests, so the research has to be better than the guesswork.
Delivered remotely for brands across St. Louis and Missouri.
Grow · St. Louis
Why St. Louis brands come to us for this
- Research weighted over test volume, because most catalogs in this metro cannot power a large concurrent programme
- Phone and email orders tagged and analysed as abandonment signals, not treated as clean wins
- Compatibility, dimensions, lead time and freight cost surfaced before checkout, where the abandonment actually happens
- Subscription and replenishment decisions tested early in the flow for pet and consumable brands
- Fit and returns work for footwear, leather and workwear, where a bad size costs you shipping in both directions
The honest constraint for a lot of St. Louis merchants is volume. A regional manufacturer doing solid revenue on a five-figure monthly session count cannot run a twelve-variant testing programme and get an answer this decade. That does not mean CRO is off the table — it means the balance shifts hard toward research, sequential validation and fixing things that are unambiguously broken rather than debating button colour.
It also means the biggest conversion wins here are usually informational rather than persuasive. Buyers of technical products abandon because they cannot confirm compatibility, cannot find a dimension, cannot tell whether the item ships today or in six weeks, or cannot work out the freight cost until checkout. None of that is a copy problem. Publishing lead times, real stock counts and a compatibility path removes more friction than any headline rewrite.
On the consumer side — pet consumables, regional food, footwear and workwear — the problems are different and more testable. Subscription decisions made too late in the flow, gifting paths that force a buyer to guess whether food will survive shipping, size and fit uncertainty on boots that costs you a return either way. Those categories have the volume to run proper experiments, and we do.
Local context
Your real competitor is the phone call, not another website
In this metro the alternative to completing an online order is frequently picking up the phone and talking to somebody who has known the account for eleven years. That is a genuinely good experience, which makes it a hard conversion benchmark — and it also hides the failure. A customer who abandons and calls does not show up as lost revenue, they show up as a normal order, so the site looks fine while it quietly costs your team hours. We instrument this deliberately: tagging orders by origin, sitting in on service calls to find the questions the site should have answered, and mining site-search and support tickets before proposing a single test. The pattern is consistent — the top three call reasons are almost always three things the product page could have said.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a St. Louis brand’s realities.
Full service detailPrioritised 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.
Scoped and quoted for your St. Louis store
We do not work off a rate card. Every St. Louis engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
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.
Proof
Conversion Optimisation results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Premium 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
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
In their words
Clients on this work
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 in St. Louis — your questions
Yes, but the target changes. For trade accounts the metric worth moving is self-serve reorder rate — what share of routine orders come through the portal instead of your inbox. The work is reorder lists, saved carts, clear stock and lead times, and removing steps between login and checkout. It reads less like classic CRO and more like operations, and it usually pays back faster.
By making validation possible on the page. That means compatibility or cross-reference lookup, full dimensional data in a scannable table rather than a paragraph, a downloadable drawing, and a clear statement of what is and is not included. We also test the position of lead time, because for industrial buyers 'ships in 3 days' converts better than a discount does.
It changes what you can trust. Tests that run across a seasonal boundary mix two different audiences and produce results that do not hold in January. We either contain a test within a stable period, or we deliberately run it across a full cycle and analyse the segments separately. What we do not do is start a test in November and call it in December because the numbers moved.
Yes, with a different approach. Logged-in trade traffic is small and highly identifiable, so randomised split testing is often inappropriate. Instead we use before-and-after measurement on a defined account cohort, structured feedback sessions with your top buyers, and task-based usability testing. It is less statistically neat and considerably more useful at that sample size.
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.
Next step
Conversion Optimisation for your St. Louis brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
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.