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.
Atlanta, GA
Conversion Rate Optimisation in Atlanta, GA
A structured experimentation programme for Atlanta stores where traffic is plentiful and revenue per session is not.
Delivered remotely for brands across Atlanta and Georgia.
Grow · Atlanta
Why Atlanta brands come to us for this
- Funnel readouts split by spike traffic versus warm traffic, so viral cohorts never skew the average.
- Cart and wallet tests judged on revenue per session, not click-through.
- Delivery-date and cutoff messaging tested as a conversion element, using your real Southeast shipping reach.
- Waitlist and back-in-stock capture measured as revenue, not as a nice-to-have.
- Mobile-first segmentation for Atlanta's culture and beauty categories, where phone share dominates.
Atlanta brands are good at attention. That is the local advantage and it is also the trap: when a post or a placement can send you a month of traffic in an afternoon, it is easy to conclude the store is fine and the answer is more reach. Then acquisition costs rise, the spike flattens, and the same 1.2% conversion rate is suddenly the whole problem.
We run conversion as a programme, not a list of best practices. Quantitative research to locate where revenue leaks, session replay and on-site polling to explain why, then a ranked backlog weighing expected value against build cost and our confidence in the hypothesis. Tests run to a pre-declared sample size or they get called. You see every result, including the ones that did not work, because a method that only ever reports winners is not a method.
In this market two areas pay disproportionately. The first is the payment and cart step — wallet placement, express checkout position, shipping thresholds, decline recovery. The second is the delivery promise, because a metro that can genuinely reach most of the eastern seaboard fast is leaving money on the table every time the product page says nothing about it. Those are the tests we tend to queue first, and we segment every readout by device because mobile share in Atlanta's culture-led categories runs high enough that a desktop-weighted average will lie to you.
Local context
Where Atlanta stores actually leak
Spiky, content-driven demand produces a specific failure shape: enormous first-session traffic, thin add-to-cart, almost no return-visit behaviour. Optimising that store like a steady-state DTC site misreads it. We split the funnel by traffic origin so a viral cohort is never averaged in with your email list, test capture mechanics for the spike separately from the conversion path for warm traffic, and treat back-in-stock and waitlist as conversion events with a dollar value. On the payment side, we run tests inside a market where the client-side stakeholder frequently knows more about card processing than the agency does — which keeps the hypotheses honest and the readouts specific.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Atlanta 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 Atlanta store
We do not work off a rate card. Every Atlanta 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 Atlanta — your questions
Yes, but not formal A/B testing. Below roughly 30,000 sessions and 800 orders a month, tests take months to reach significance and you burn the year waiting. We do analytics-led and heuristic conversion work instead — research, instrumentation, funnel fixes — and move you into a testing programme when the volume supports it.
It complicates it rather than breaking it. A spike introduces a cohort with completely different intent, so we exclude or segment those windows rather than letting them contaminate a running test. We also pre-plan spike experiments separately, since the capture path during a surge is a different problem from the conversion path on a normal week.
Partly, and it depends on your plan. Shopify Plus opens the checkout to UI extensions and Functions; on standard Shopify it is sealed, so the testable surface is the cart drawer, express-wallet placement, shipping thresholds and post-purchase offers. In Atlanta there is a more interesting layer underneath the question, though: authorisation rates. Declines, retry logic and wallet coverage are worth more than most checkout layout tests, they are adjustable on any plan, and in the payments capital of the country it is remarkable how rarely anyone has looked at them.
No, and be wary of anyone who does. Traffic quality, pricing, stock position and seasonality all sit outside our control. What we commit to is a defined test velocity, pre-declared sample sizes, rigorous measurement and full visibility into every result, including the ones that did not work.
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 Atlanta 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.