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.
New York, NY
Conversion Rate Optimisation in New York
In the most expensive media market in the country, the cheapest growth lever you own is what happens after the click.
Delivered remotely for brands across New York and New York.
Grow · New York
Why New York brands come to us for this
- Tests prioritised by revenue at risk, because New York traffic is too expensive to waste on curiosity.
- Every readout segmented by device — commuter mobile sessions behave nothing like desktop ones.
- Cart and express-checkout testing tuned for a market where speed of purchase is the norm.
- Test calendar planned around the August lull and the compressed Thanksgiving-to-Christmas peak.
- Readouts written for an in-house analyst, not a slide deck — full stats, including the losers.
Here is the arithmetic that makes CRO different in New York. You are bidding against every other consumer brand headquartered in the same city, in the largest media market in the United States, for a customer who has already seen four brands like yours this week. You cannot outspend that. You can convert better than the brand next to you in the feed, and that lift costs the same whether your CPMs are $12 or $48.
We run it as a programme rather than a pile of opinions. Quantitative research to find where revenue leaks, session replay and on-site polling to explain why, then a backlog ranked by expected value per test — which at New York traffic costs is a materially different order than the same list would produce elsewhere. Tests run to a pre-declared sample size or they get called. Every result published, losers included.
The New York difference is the client, not the method. Buyers here tend to be numerate — often an in-house analyst from the DUMBO or Flatiron tech bench sits in the readout. That is a good thing. It means we skip the persuasion phase and argue about sample sizes instead, which is the argument worth having.
Local context
Testing against the highest acquisition costs in the country
New York's media economics change which tests are worth running. When a click costs what it costs here, a 0.4-point lift on the product page is real money within a quarter, so the backlog skews toward high-traffic templates rather than clever micro-interactions. Device split matters more too: a meaningful share of your sessions happen on a phone during a commute, at low bandwidth, with interruptions — so we segment every readout by device and look hard at mobile INP and cart-drawer behaviour before we touch copy. Seasonality is sharper than the national average as well. August empties out as the city leaves for the weekend and the shore, and the four weeks between Thanksgiving and Christmas carry a disproportionate share of the year. We plan test velocity around those two facts: research and infrastructure work in the quiet stretch, high-traffic tests when the traffic is actually there.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a New York 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 New York store
We do not work off a rate card. Every New York 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 New York — your questions
Around 50,000 sessions a month makes a programme comfortable and roughly 30,000 is the practical floor for reaching significance in a sensible window. Below it, conversion work continues but as analytics-led and heuristic practice rather than a formal A/B programme. Given what traffic costs here, we would rather show you that calculation on your own numbers than sell you a testing retainer that cannot reach significance.
Test first, then decide. In the most competitive ad market in the country, a structured experimentation programme is almost always cheaper per incremental order than buying more clicks, and it makes every future dollar of media work harder. Cutting spend without fixing conversion just makes the same problem smaller.
On Plus, through UI extensions and Functions. On standard Shopify it is locked. It is worth knowing where the money actually is, though: for a New York brand paying what you pay for a click, the cart-to-checkout step on mobile usually leaks more than the checkout page itself, and it is fully testable on any plan. If you run wholesale alongside DTC there is a second question sitting underneath this one — whether your B2B buyers should be in the same checkout at all, which is a Shopify B2B configuration decision rather than a testing one.
No, we change its shape. The summer lull is when research, instrumentation and infrastructure work gets done cheaply, so the high-traffic tests are queued and ready when September arrives. Going dark in the quiet months is how brands arrive at Q4 with the same store they had in June.
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 New York 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.