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.
Miami, FL
Conversion Rate Optimisation in Miami, FL
A structured test programme for Miami stores where the same page is being read in two languages and paid for in three currencies.
Delivered remotely for brands across Miami and Florida.
Grow · Miami
Why Miami brands come to us for this
- Every readout segmented by language and country, not just device — the blended number hides the leak
- Landed-cost and duty-inclusive pricing tested as a conversion lever, not treated as a finance setting
- Address, phone and tax-ID form fields tested for buyers in Puerto Rico, Colombia, Mexico and Brazil
- Mobile express-wallet placement prioritised for a phone-first, younger-skewing local audience
- Tests held across the winter-high-season boundary so a December win is not mistaken for a permanent one
Conversion is in our name so we will be direct: most Miami stores have a segmentation problem disguised as a conversion problem. Blended conversion rate looks acceptable. Split it by language and country and you find an English page converting fine and a Spanish page converting at half the rate, or a US buyer at 2.4% and a Latin American buyer at 0.6% because the checkout is asking for a ZIP code and a state that do not exist where they live.
That is where our research sprint starts here. We segment before we hypothesise — device, language, country, new versus returning — because a test run on a blended average in this market averages away the exact thing that is broken. Session replays from a Spanish-language visitor tell a different story than replays from a Miami local, and the fixes are not the same fixes.
Then it runs as a programme, not a list of best practices. A prioritised backlog ranked by expected revenue, build cost and how strong the underlying evidence actually is — scored per language, because a hypothesis can be true in English and wrong in Spanish. Pre-declared sample sizes. Tests run to significance or they get called. Losing tests get reported as losses and the change gets reverted, because a method that only ever produces winners is not a method, it is a marketing document.
Local context
The tests that only matter in a cross-border market
A Denver store never needs to test whether showing duty-inclusive pricing on the product page beats showing it at checkout. A Miami store does, and the answer is usually worth more than every button-colour test combined. The same is true of address form behaviour for buyers outside the US, express wallet placement for a mobile-heavy audience that skews younger and more Spanish-speaking than the national average, and whether a Spanish-language trust and returns block above the fold changes add-to-cart for the non-English half of your traffic. We also watch seasonality carefully: a swim or resort brand's winter high-season traffic behaves nothing like its summer traffic, so we hold tests across a season boundary rather than reading a December result as a permanent truth.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Miami 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 Miami store
We do not work off a rate card. Every Miami 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 Miami — your questions
Sometimes, but more often it is a completeness problem. The product copy got translated and the size chart, shipping page, returns policy, filter labels and post-purchase emails did not. A buyer who hits three English pages during a Spanish session is reading a store that does not quite trust them with the details. We measure where the language coverage breaks before assuming the words themselves are the issue.
Around 40,000 sessions and 800 orders a month makes A/B testing statistically viable. In a bilingual store the bar is effectively higher, because a test you want to read by language segment needs enough volume in each. Under it we run analytics-led and heuristic conversion work instead, and we will show you the volume maths on your own account — including the per-language split — before proposing anything.
On Plus, yes — and for a cross-border store several of the largest wins live exactly there: duty and landed-cost display, payment-method ordering so a Brazilian buyer sees a method they recognise first, and delivery choice by market. On standard Shopify the checkout is sealed, so the same problems get solved one step earlier: landed cost shown on the product page rather than revealed at the end, and payment badges surfaced in the cart. The failure we see most often here is a buyer in Bogotá meeting a duty charge at the final step, and that is fixable on either plan.
Continuously, but with the calendar factored into the read. Peak season gives you the volume to reach significance quickly; shoulder season gives you the time to build and ship the winners into the theme. The mistake is going dark in the off-season, because that is precisely when the compounding work gets done and when a losing test costs you the least.
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 Miami 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.