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.
Denver, CO
Conversion Rate Optimisation in Denver, CO
A structured test programme built for buyers who research for three weeks and buy on a different device than the one they started on.
Delivered remotely for brands across Denver and Colorado.
Grow · Denver
Why Denver brands come to us for this
- No countdown timers or fake scarcity — they measurably underperform with a research-driven Front Range buyer.
- Cross-device and returning-visitor segmentation built in, because Denver consideration windows run weeks not minutes.
- Fit-confidence and spec-comparison hypotheses prioritised ahead of button-colour work.
- Heavy testing in shoulder season, monitoring during peak — winners are live before the snow is.
- Gift-buyer and enthusiast-buyer journeys read as separate segments through Q4, never averaged together.
Countdown timers do not work here. Neither does 'only 2 left' on a product someone is going to compare against three competitors, two forum threads and a YouTube review before they spend $480. Denver's dominant categories are considered purchases, and manufactured urgency reads as dishonest to an audience that has already decided you might be overselling.
That changes the entire test backlog. Instead of pressure tactics we test information architecture: what the buyer needs to know, in what order, and how many clicks currently sit between them and it. Fit confidence. Spec comparison. Warranty and repair visibility. Return policy framing. Whether the reviews on the page answer the question the buyer actually has, or just say 'love it'.
It also changes the measurement window. A long consideration cycle means cross-device journeys, a returning-visitor share far above the DTC average, and last-click attribution that lies to you more than usual. We instrument for that before running a single experiment, then run tests to a pre-declared sample size and report the losers as plainly as the winners.
Local context
Testing around a seasonal demand curve
Colorado demand is not a flat line you can sample from evenly. A winter hardgoods brand does a disproportionate share of its year between the first real Front Range snowfall and the end of the holiday window, and a summer category compresses into the months between runoff and the first hard freeze. Testing inside a spike gives you fast reads on a distorted sample — heavier gift traffic, more first-time visitors, different price sensitivity. So we invert the calendar: the heavy research and experimentation work runs in the shoulder season so winners are hard-coded and live before demand arrives, and during peak we shift to monitoring, guardrail metrics and segment-level readouts rather than launching new variants into the busiest six weeks of your year.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Denver 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 Denver store
We do not work off a rate card. Every Denver 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 Denver — your questions
Yes, but the calendar changes shape. We front-load research, instrumentation and heavy experimentation into your shoulder season so improvements are hard-coded before the ramp, then move to measurement and retention during peak. Testing inside a demand spike gives you fast reads on a sample that does not represent your normal buyer, and it puts revenue at risk during the weeks you can least afford it.
Around 40,000 sessions and 800 orders a month makes a formal A/B programme viable. Plenty of Boulder and Denver gear brands sit under that outside their season and comfortably above it inside — in which case we run a formal programme during the months where significance is reachable and analytics-led heuristic work the rest of the year. Either way, you will know which of those shapes your business is before there is a contract in front of you.
Because we have watched them lose in this category. A buyer researching a technical purchase for three weeks interprets a countdown timer as a signal about your honesty, not your inventory. That does not mean scarcity information is off the table — a genuine low-stock count on a size that is genuinely running out converts fine. The distinction is whether the pressure is true.
Usually fit and spec confidence, because that is where the money is. Surfacing size guidance above the fold, letting a buyer compare two models in the same family without leaving the page, and making warranty and repair terms visible rather than linked. These consistently move both conversion and return rate, which means they show up in contribution margin twice.
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.
On Shopify Plus, yes, via checkout UI extensions and Shopify Functions. On standard Shopify the checkout is locked, so we focus on cart, express payment placement, shipping thresholds and post-purchase offers, which is where most of the recoverable revenue sits anyway.
Next step
Conversion Optimisation for your Denver 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.