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.
Detroit, MI
Conversion Rate Optimisation in Detroit, MI
In Detroit the biggest conversion lever is rarely the button colour — it is whether the buyer is confident the part fits.
Delivered remotely for brands across Detroit and Michigan.
Grow · Detroit
Why Detroit brands come to us for this
- Return rate treated as a primary CRO metric, with RMA reasons feeding the test roadmap
- Failed site-search logs mined for part numbers your search cannot resolve — usually the cheapest win available
- Trade and retail funnels analysed separately instead of averaging two incompatible buyers
- Fitment confirmation tested for placement and wording, since that is where enthusiast buyers hesitate
- Test calendar aligned to salt-season replacement demand and spring performance volume for real sample sizes
Run session replays on a Detroit parts store and the same scene repeats: a buyer selects a vehicle, scrolls, opens two tabs, goes back to the selector, and leaves. That is not a checkout problem or a price problem. It is unresolved doubt about fit, and it shows up in two places at once — as abandonment now and as a return in three weeks. We treat return rate as a conversion metric here, because a sale that comes back is worse than a sale you never made.
The research sprint therefore starts with your own evidence rather than a heuristic checklist. Failed site searches tell you which numbers your search cannot resolve. Support tickets and RMA reasons tell you which categories generate wrong-fit returns and why. Replays on the product template show whether the fitment confirmation is being read or scrolled past. From that we get a ranked list of friction points with revenue attached, and hypotheses that are specific enough to be wrong.
Testing then runs with the discipline the rest of the programme depends on: a stated hypothesis, a pre-declared sample size, one primary metric, and a result you can audit afterwards. Detroit stores often have healthy but not enormous traffic, so we sequence tests toward the templates and steps carrying the most revenue, and we are candid when a question needs a painted-door test or a qualitative study instead of a split test that would take five months to reach significance.
Local context
Two buyers, two funnels, one store
Almost every store in this metro is quietly serving two very different people. One is an installer or shop buyer working at speed on a trade account — knows the number, wants stock, terms and a reorder list, and is infuriated by anything that adds a step. The other is a retail or enthusiast buyer arriving from a forum thread or a build video, who needs reassurance, fitment evidence and a returns policy they can read. Optimising the average of those two produces a page that serves neither. We segment analysis by account type from the start, test the trade path on speed and repeat-order friction and the retail path on confidence and evidence, and we time the programme against local demand: rust and replacement testing gets its statistical power from the November-to-March salt season, while performance, wheels and detailing categories generate their volume in the spring run-up to cruise and show season.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Detroit 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 Detroit store
We do not work off a rate card. Every Detroit 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 Detroit — your questions
Yes, but the questions change. Repeat buyers are optimised on friction and speed — reorder lists, saved vehicles, saved ship-to addresses, fewer steps between login and submitted order — and those changes are often measurable in order frequency rather than session conversion. We also look at account activation, because the gap between companies with a login and companies still emailing orders is usually the largest single opportunity.
Above the add-to-cart, stated in plain language, and specific to the vehicle the buyer selected rather than a generic compatibility table. That is the hypothesis we start with; the test settles the details, including whether an explicit 'this fits your 2016 Silverado 1500' line outperforms a badge, and whether a mismatch should block the purchase or warn and allow it. Those two variants behave very differently by category.
Often it is a measurement artefact rather than a performance one. Catalog-heavy parts stores absorb enormous research traffic, phone orders that never register as sessions, and trade users browsing without buying, all of which push the headline rate down. We rebuild the denominator around commercially meaningful sessions before drawing conclusions, and compare you against your own trend rather than a generic benchmark.
It changes what has traffic. From November through March, replacement, rust repair, undercoating and cold-weather categories carry the volume, so that is when tests on those templates can actually reach significance. Spring and summer belong to performance, wheels and detailing. We plan the roadmap against that rather than starting the highest-priority test in the month its category is dormant.
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 Detroit 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.