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.
A structured experimentation programme on your Shopify store, run against the two things San Diego brands actually get paid on: first-order conversion and second-order retention.
Delivered remotely for brands across San Diego and California.
Most CRO advice assumes the sale happens in one session. For a San Diego supplement or gear brand it rarely does. Someone reads your ingredient panel on a phone at lunch, opens three competitor tabs, checks whether the testing is third-party, and comes back on a laptop four days later. Optimising that journey with a bigger add-to-cart button is not a strategy, and it is why so many local stores have a testing history full of inconclusive results.
We start by instrumenting what actually happens across those sessions, then run research — funnel analysis, replays, on-site polls, user tests with people who buy in your category — before writing a single hypothesis. The backlog gets scored on impact, confidence and effort, and every test declares its sample size before it starts. No calling a winner on day three because it looked good.
The other half is subscription conversion, which most CRO programmes ignore entirely. The decision to subscribe is a different decision to the decision to buy, it happens at a different moment, and it responds to different copy. We test it separately: cadence framing, prepaid versus monthly, the wording of the cancellation policy, and where in the flow the commitment gets explained.
San Diego stores serve a national customer base from the Pacific edge of it, which quietly distorts test readouts. Your Eastern traffic peaks and converts before your team logs on; your local traffic behaves differently again, skewing mobile and skewing bilingual. We segment every result by device, timezone and new-versus-returning, because a variant that wins overall and loses on East Coast mobile is not a win, it is an average. The category mix matters too: with life-science-adjacent brands, the highest-leverage tests are almost never aesthetic. They are evidence-placement tests — where the certificate of analysis sits, whether the dosage comparison appears above or below the fold, whether the third-party testing badge outperforms the review count. And for the surf and outdoor half of the market, fit and spec confidence is a conversion problem wearing a returns costume.
The same standard of work we run for every client — applied to a San Diego brand’s realities.
Full service detailFunnel 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.
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.
Tests built and QA'd across devices, browsers and your app stack, with flicker-free rendering and no measurable hit to Core Web Vitals.
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%.
Cart drawer, shipping thresholds, payment options, express checkout placement and post-purchase upsell, tested against AOV and revenue per session rather than clicks.
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.
We do not work off a rate card. Every San Diego 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 scopedWe instrument the funnel properly first. Most stores have broken or double-counted events, and you cannot optimise against numbers you cannot trust.
Quant tells us where visitors leave. Qual tells us why. We combine analytics, replays and direct customer input before writing a single hypothesis.
Hypotheses are scored and sequenced so the highest-value, lowest-effort tests run first. The roadmap is shared and you can reorder it.
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.
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.
Anonymised under NDA. Figures pulled from the client’s own analytics.
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.
~$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.
“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%.”
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.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.