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.
Washington, DC
Conversion Rate Optimisation in Washington, DC
In a city where a third of your buyers have to log in and another third have to get approval, most of the lost revenue is in the paths before the cart.
Delivered remotely for brands across Washington and District of Columbia.
Grow · Washington
Why Washington brands come to us for this
- Member sign-in treated as a conversion step, so entitled buyers stop seeing public pricing and leaving
- Self-serve quote and saved-cart paths for buyers who need an approver before anyone pays
- POS-to-online journeys for gift shops and Eastern Market or Union Market retailers with real footfall
- Tests bounded inside comparable traffic periods, not run across an annual meeting or blossom season
- Structural fixes prioritised over experiments where the store's session volume cannot support significance
The word is in our name, so here is the specific version for this market. The classic Washington leak is not a weak product page — it is the member sign-in. Someone with entitlements lands on a product, sees the public price, does not recognise it, and leaves to email the membership office. They never see the price they are owed, and the store records it as an ordinary bounce. Nothing in a standard analytics setup flags that as a revenue event, which is why it survives for years.
The second leak is the institutional buyer. A procurement path that requires an email to request a quote loses people at exactly the point where they have the budget approved. Making the quote request self-serve, showing terms availability before the cart, and letting a buyer save a cart for an approver to complete are structural changes that move revenue more than any button colour test in this segment.
The third is visitor-to-buyer. A museum shop, an Eastern Market vendor or a Georgetown retailer takes real footfall and converts almost none of it online later. The fix is a connected journey — a receipt that captures an identity, a POS-linked profile, a post-visit path back to the same catalogue — which is a measurement and merchandising problem as much as a test.
Local context
Testing when your traffic is seasonal, gated and not very large
Most Washington institutional stores do not have the traffic volume for a classical A/B testing programme, and pretending otherwise produces tests that never reach significance and get called anyway. So the method changes. On lower-traffic stores we prioritise structural fixes with clear evidence behind them — session replay, on-site search logs, support tickets and checkout drop-off analysis — and reserve formal experiments for the templates that genuinely carry enough sessions. Where a store does have volume, we account for the local seasonality honestly: cherry blossom and spring school-trip traffic behaves nothing like the visitor mix in August, and a test that starts before an annual meeting and ends after it has measured two different audiences and told you nothing. We hold tests inside comparable traffic periods, and we declare the sample size before we start.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Washington 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 Washington store
We do not work off a rate card. Every Washington 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 Washington — your questions
Yes, and the gated area is often where the money is. Logged-in traffic is lower volume but far higher intent, so tests there need longer runtimes and tighter hypotheses. We also test the pre-login experience separately, because the decision to sign in is itself a conversion step and improving it usually pays faster than anything inside the gate.
We say so and change method rather than run underpowered tests to look busy. Below meaningful volume we work from research — replays, search logs, drop-off analysis, support tickets and buyer interviews — and ship structural fixes with a before-and-after measurement window rather than a split test. When a template does have the sessions, we test it properly. Calling a test at 80% confidence is not a compromise, it is a guess.
That path is usually the highest-value thing to work on for an institutional seller, and almost nobody looks at it. We map every step from an approver's first view to the completed PO, instrument the abandonment points, and remove the ones that require a human email. The measurable outcome is not conversion rate in the usual sense — it is quote-to-order rate and time to order.
Not for anything you intend to apply year-round. Spring visitor traffic is a different audience with different intent, so a winner measured in April may not hold in October. We use those weeks for capacity, merchandising and operational readiness, and run the programme's structural experiments in the more representative periods either side.
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 Washington 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.