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.
Cincinnati, OH
Conversion Rate Optimisation in Cincinnati, OH
Structured testing for Cincinnati brands whose shoppers cannot pick the box up and read the back panel.
Delivered remotely for brands across Cincinnati and Ohio.
Grow · Cincinnati
Why Cincinnati brands come to us for this
- Product pages rebuilt to replace what a shopper loses by not holding the pack: weight, duration, ingredient deck
- Subscription decision tested where it matters — placement, default interval, framing and cancel-flow offers
- Bundle and variety-pack merchandising tested against single-unit purchase, not assumed
- Test plans sized to real Midwest DTC traffic, with structural changes prioritised over cosmetic ones
- Risky experiments scheduled outside your gifting and festival peaks, proven changes only during them
The central conversion problem for a consumer goods brand in this city is sensory. In a store the shopper holds the pack, checks the weight, reads the ingredient deck, compares two sizes side by side and decides in about eight seconds. Online none of that is available, so the page has to do the work the physical object used to do — and most CPG product pages here replace all of it with a lifestyle photo and three bullet points.
Research comes before any test. Session recordings, site search terms, the questions your customer service inbox answers weekly, and the reasons written on return requests tell you what the page failed to say. In this category the answers are remarkably consistent: how long does one unit last, is this the same formula as the one at the store, what is actually in it, and which size should I start with. Every one of those is a testable page element rather than a copy opinion.
The second front is the subscription decision, because for a consumables brand it is where most of the enterprise value sits. Whether the choice appears before or after add-to-cart, whether the default interval matches real consumption, how the discount is framed, and what the cancel flow offers before it offers an exit — those are the highest-leverage experiments available. We build the roadmap from research, run tests at the sample sizes your traffic can actually support, and call losers honestly.
Local context
Testing for brands that are still mostly a retail business
Most Cincinnati stores we take on do not have coastal DTC traffic volumes, because the majority of the revenue still arrives through a grocery or club channel. That changes the programme shape rather than ruling it out. We concentrate tests on high-traffic templates instead of splitting attention across the whole site, prefer larger structural changes over button-colour trivia because the effect size needs to be detectable, and use qualitative research and a sequenced backlog to keep learning between statistically conclusive tests. We also work with the seasonal reality: a brand with a hard autumn gifting peak gets its risky structural tests run in spring and its peak-season work limited to changes that are already proven, because a losing variant across your best six weeks is expensive in a way no report makes back.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Cincinnati 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 Cincinnati store
We do not work off a rate card. Every Cincinnati 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 Cincinnati — your questions
It is, but the value shows up differently. At modest traffic the direct store works best as a research instrument: it tells you which claim, format and price ladder people choose when nobody is standing in an aisle, and that insight feeds your retail work too. We run fewer, bigger tests and lean harder on qualitative research so the programme still produces decisions rather than noise.
By testing structure, sequence and evidence rather than rewriting regulated language. Which approved claim leads, how proof is presented, where the ingredient panel sits, how usage guidance is formatted — all of that is fully testable without touching a phrase your compliance reviewer signed off. We work from your approved claim library and flag anything a variant would breach before it goes live.
It genuinely varies by category and price point, which is why it is a test rather than a rule. Presenting it upfront wins when replenishment is obvious, like a household refill; presenting it after the first purchase wins when the buyer needs to like the product first. We usually test both plus a post-purchase offer and let the retained revenue at ninety days decide, not the initial opt-in rate.
On Plus, checkout is testable through checkout UI extensions — trust content, delivery options, gifting and post-purchase offers. On standard Shopify the checkout itself is fixed, so the work moves upstream to the cart, the shipping-threshold messaging and the payment options presented. In practice most abandonment we diagnose is decided before checkout loads anyway.
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 Cincinnati 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.