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.
Las Vegas, NV
Conversion Rate Optimisation in Las Vegas, NV
Structured testing on the pages where a procurement buyer decides to reorder and a visitor decides to ship it home.
Delivered remotely for brands across Las Vegas and Nevada.
Grow · Las Vegas
Why Las Vegas brands come to us for this
- B2B and retail conversion measured as separate funnels, because a reorder and a first purchase are not the same event
- Quick order, saved lists and reorder-from-history tested on clicks and seconds rather than on conversion rate alone
- Quote request forms cut down to what a buyer can complete on a phone in a stockroom or a convention aisle
- Overnight sessions treated as a distinct segment, with cutoff messaging and self-serve paths tested for the two-to-six window
- Honest method for low-volume catalogues: research and sequential tests where an A/B split would never reach significance
Conversion work in this city has to start by admitting there are two conversions. A returning company account placing its eleventh order of the year is not converting in any meaningful sense; it is completing a task, and the metric that matters is how many seconds and clicks it takes. A first-time consumer who found the brand at a booth or on Spring Mountain Road is converting in the classic sense and needs an entirely different page. Averaging them together produces a site conversion rate that moves for reasons nobody can explain.
So we split the measurement first and test against the right job. On the B2B side the wins are unglamorous and large: quick order by SKU code, a reorder list that loads with last order pre-filled, quantity rules that show the case size before the error message, and a quote request that does not demand fourteen fields from someone standing in a stockroom. On the retail side it is the usual battleground — pack shots, shipping clarity, the point where a spec-heavy product page either answers the fit question or loses to a competitor's.
Volume is the honest constraint for a lot of stores here. A supplier with two hundred orders a month cannot run a classic A/B programme on the product page and get a clean read this quarter. When that is the situation we say so and change the method: sequential tests on high-traffic templates, qualitative research through session replay and buyer interviews, and structural fixes with obvious mechanical justification rather than a test that will never reach significance.
Local context
A real share of your orders happen when nobody is at a desk
Las Vegas is genuinely a twenty-four hour ordering market and that shows up in the funnel in ways it does not elsewhere. Overnight kitchen, housekeeping and banquet teams discover shortages at two in the morning. Show attendees evaluate suppliers late at night from a hotel room after the floor closes. Visitors buy from the brand they saw that afternoon while still out. Those sessions convert badly on most sites for the same three reasons: a live chat widget advertising business hours nobody is in, a delivery estimate that assumes the order will be picked today, and a quote form whose only promised outcome is that someone will call back tomorrow. We test against that window specifically — self-serve paths that need no human, honest cutoff messaging tied to your North Las Vegas or corridor fulfilment, and asynchronous responses that make an overnight order feel handled rather than parked.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Las Vegas 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 Las Vegas store
We do not work off a rate card. Every Las Vegas 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 Las Vegas — your questions
Yes, but the target moves. For a returning buyer you are optimising time-to-order and completeness, not persuasion. We measure clicks and seconds from login to submitted order, how often a reorder is abandoned because a quantity rule surprised them, and how many orders still arrive by email despite the portal existing. Cutting a four-minute reorder to ninety seconds is worth more than a percentage point on the product page.
Do not start a test then and do not judge one on that data. Convention traffic is a different population with different intent, and folding it into a running experiment contaminates both arms unevenly. We freeze the test queue for the show, segment that traffic out of the analysis, and use the week for observation instead — session replays of badge-scan visitors are some of the most useful research you will get all year.
They read the two or three that decide the purchase and ignore the rest, and which two varies by category. Replay and on-site polling usually show buyers hunting for one number — a capacity, a load rating, a fixture size, a weight class — before anything else registers. The test is nearly always about promoting that number into the grid and the top of the page, not about writing more copy.
Enough that a meaningful improvement could be detected inside a reasonable window, which depends on your baseline conversion and order volume rather than on sessions alone. We calculate that before proposing a programme and will tell you if the answer is no. Where volume is genuinely thin, research-led structural work and funnel instrumentation deliver more than a test programme that produces inconclusive results for six months.
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 Las Vegas 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.