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.
Seattle, WA
Conversion Rate Optimisation in Seattle
You will get the hypothesis, the sample-size calculation and the losing tests — because half the operators in this city can spot a p-value being tortured.
Delivered remotely for brands across Seattle and Washington.
Grow · Seattle
Why Seattle brands come to us for this
- Test the direct-versus-marketplace decision explicitly, because your buyer is already comparing
- Seasonal PDP variants for the October-to-April gear window, not one product page for all twelve months
- Commute-hour mobile segments read separately — ferry and Link sessions behave nothing like desktop
- Subscription cadence and freshness framing tested on revenue per session, not on click-through
- Full test log shared, losers included, with pre-declared sample sizes your analytics lead can check
Seattle is a difficult market to sell CRO into, and that is a compliment. When your VP of growth spent six years running experiments at a company two light rail stops away, they know what stopping a test early looks like, they know what a novelty effect looks like, and they will ask for the segment breakdown before they ask for the headline number. Good. We would rather be audited than admired.
So the programme runs on stated rules. Sample size declared before the test starts. Sequential-testing guardrails so nobody calls a winner on day three. Segment readouts by device, source and new-versus-returning. The tests that do not win get reported in the same detail as the ones that do — a programme that only ever reports winners is a programme that is not being measured.
What we test here skews toward the considered purchase. Seattle's biggest categories are researched before they are bought: technical apparel, gear, coffee, consumer electronics accessories. That means the wins are rarely a button colour. They are comparison content, spec clarity, fit and sizing confidence, subscription cadence framing, and the moment where a shopper is deciding between your store and the marketplace listing with the same product on it.
Local context
The Seattle-specific things we test first
Three levers show up repeatedly in this market. First, the marketplace comparison moment — a meaningful share of your traffic has your product open in another tab, and testing explicit reasons to buy direct (subscription pricing, bundle-only SKUs, extended warranty, faster support) moves revenue per session more than any layout change. Second, weather-driven intent: from roughly October through April, gear traffic here arrives with a specific problem to solve, and product pages that lead with waterproof rating, breathability and layering context convert differently to the same page in July. We test seasonal PDP variants rather than running one page all year. Third, commute-hour mobile. Traffic peaks on phones during Link and ferry windows, and tests that win on desktop routinely lose on a session that has thirty seconds and two bars.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Seattle 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 Seattle store
We do not work off a rate card. Every Seattle 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 Seattle — your questions
It is the easiest kind of client relationship we have. Every test ships with a pre-declared sample size, a stated minimum detectable effect and segment-level readouts, and the raw data is yours. We would rather argue about a hypothesis with someone who knows experimental design than present a highlight reel to someone who does not.
Around 40,000 sessions and 800 orders a month is where an A/B programme becomes viable. Below it, tests take months to reach significance and you get considerably more from analytics-led conversion work and a research-driven redesign. Given how many Seattle brands still carry most of their volume on a marketplace, we check the real owned-session number first and say plainly which approach it supports.
Yes, and it is usually one of the first things we test. The question is what makes buying direct worth the extra friction — subscription pricing, bundles that do not exist on the marketplace, a longer warranty, faster human support. We test the framing and the placement of that answer and measure it on revenue per session.
It would if we ignored it. Seattle demand for gear and outerwear shifts materially between the wet season and summer, so we avoid running a test across a seasonal boundary, and where we have to, we segment the readout by period. Calling a winner on data spanning a demand shift is one of the more common ways CRO programmes fool themselves.
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 Seattle 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.