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.
Dallas, TX
Conversion Rate Optimisation in Dallas, TX
A structured experimentation programme for Dallas stores where the traffic is already there and the direct channel is still converting like a catalogue.
Delivered remotely for brands across Dallas and Texas.
Grow · Dallas
Why Dallas brands come to us for this
- Every readout split by wholesale-logged-in and consumer traffic, never averaged together
- Filtering and site-search tests prioritised for deep line-sheet catalogues
- Freight and lead-time disclosure tested early in the path for oversized-goods brands
- Test calendar planned around State Fair, market weeks and Texas summer heat windows
- Every result published in full, losers included, reviewed in your Central-time working day
The interesting thing about testing on a Dallas store is that the friction is rarely where a generic CRO checklist says it is. These are not thin DTC-native catalogues with three SKUs and a lifestyle hero. They are deep assortments inherited from a wholesale business, and the leak is usually in findability: a shopper who cannot narrow 900 gift SKUs, a boot buyer who cannot filter by width, a furniture shopper who bounces because the freight cost only appears at step three of checkout.
So the research comes first. Funnel analysis, session replays, site-search logs and the support inbox, which in this market is a goldmine because buyers here still call and email. Then a hypothesis backlog scored on impact, confidence and effort, with the revenue and the sample size stated before anything ships.
Two things we do differently for brands in this metro. We segment every readout by wholesale-logged-in versus consumer traffic, because averaging them produces a number that describes nobody. And we watch seasonality hard: a test running through the State Fair weeks, a Cowboys home stand for a fan-merch brand, or the deep July heat for anything meltable is not measuring what you think it is measuring.
Local context
Testing a catalogue that was built for a buyer
Dallas brands come to CRO with a specific inheritance: a product page written as a spec block, a collection structure copied from a showroom floor plan, and imagery shot for a line sheet. That produces a recognisable pattern in the data — high collection-page bounce, heavy site-search usage with poor result relevance, and a mobile conversion rate less than half of desktop because the grid was never designed for a thumb. The highest-value tests here are almost always merchandising and filtering rather than button colour: width and size filters for western wear, room and finish filters for Design District furnishings, occasion and price-band filters for gift lines. We also test freight and lead-time disclosure early in the path, because in a metro full of oversized-goods brands, late cost surprise is the single most reliable killer of a high-AOV cart.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Dallas 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 Dallas store
We do not work off a rate card. Every Dallas 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 Dallas — your questions
Roughly 40,000 sessions and 800 orders a month for a formal A/B programme. Plenty of Dallas brands are below that on the direct side while being large businesses overall, because the revenue sits in wholesale. In that case we do analytics-led and heuristic conversion work instead, and we say so rather than sell you a testing programme that cannot reach significance.
Badly, in both directions. Logged-in buyers convert at multiples of consumer rates and reorder in volume, so a blended figure flatters the direct channel and hides where it is actually leaking. We separate the two at the analytics layer before the first test runs, and every result is reported against the segment it applies to.
Findability. Collection structure, filter facets and site-search relevance move revenue more than anything on the product page when a shopper is facing hundreds of similar SKUs. We instrument site search first, because the queries with zero results are a written list of what your merchandising is missing.
It sets the calendar. We avoid drawing conclusions from tests that straddle a market week, the State Fair run in the autumn, or a holiday promotion, because the traffic mix changes underneath them. For heat-sensitive categories we also treat the deep summer months as their own regime rather than pooling them with spring data.
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 Dallas 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.