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.
Los Angeles, CA
Conversion Rate Optimisation in Los Angeles, CA
Same attention, more revenue per visitor — a structured test programme designed around LA's spiky, content-driven traffic.
Delivered remotely for brands across Los Angeles and California.
Grow · Los Angeles
Why Los Angeles brands come to us for this
- Tests segmented by source so creator traffic and organic search are never averaged together
- Spike days declared in or out of the analysis before the test runs
- Returns treated as a conversion problem: fit, fabric and expectation-setting tested directly
- Post-purchase exchange-first flows tested against contribution margin, not refund rate
- Daypart segmentation for a Pacific-time store with a coast-split audience
Testing in Los Angeles is statistically awkward and nobody says so. A market where a single Reel can deliver a quarter of the month's sessions in ninety minutes breaks the assumption most CRO methodology rests on: that traffic arrives at a roughly steady rate from a roughly stable mix of sources. Run a naive test across a drop and you have measured the drop, not the variant.
So the programme is built differently. Tests are stratified by traffic source and segmented so organic search, paid social and a creator's link-in-bio are read separately. Spike days are pre-declared as inclusions or exclusions before the test starts, not decided afterwards when the result is inconvenient. Sample size is calculated against your actual daily distribution rather than a monthly average that no day in your calendar resembles.
The other LA-specific thing is where the money hides. In an apparel-heavy market the biggest recoverable revenue is usually not the add-to-cart button — it is the gap between what the product page promises and what arrives in the box. We test fit guidance, fabric and drape communication, model diversity in imagery and exchange-first post-purchase flows, and we measure them against contribution margin after returns rather than raw conversion rate.
Local context
Testing against a spike, not a curve
Two operational realities shape a Los Angeles test programme. First, demand is event-driven: launches, collabs, festival season, a piece of content that happens to travel. That means test windows have to be planned against your content calendar and validated for source mix, or every readout is contaminated. Second, LA sits in Pacific time while a large share of its buyers do not — a store here typically sees East Coast traffic peak while the LA office is at lunch and a long Pacific evening tail. We segment device and daypart accordingly, because a mobile visitor at 9pm Pacific browsing a swim collection behaves nothing like a desktop visitor at 10am Eastern, and averaging them together hides both.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Los Angeles 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 Los Angeles store
We do not work off a rate card. Every Los Angeles 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 Los Angeles — your questions
Yes, with design changes. We stratify by traffic source, pre-declare whether launch days are included, and calculate sample size against your real daily distribution rather than a monthly mean. What we will not do is call a test on a week that contained a viral moment and pretend the variant caused it.
Roughly 40,000 sessions and 800 orders a month makes a formal programme comfortable. Below it we still do conversion work, but it is research and analytics-led rather than statistical. Worth checking honestly: plenty of LA brands with enormous follower counts sit well under that threshold on actual sessions, because followers and traffic are not the same asset. We will show you the real number from your own analytics before proposing a programme.
It is one of the most reliable ways to. Better size and fit data, honest fabric and drape communication, imagery that sets accurate expectations and exchange-first post-purchase flows all move returns. For an LA apparel brand that is often worth more than a conversion lift, because a return costs shipping twice and the margin once.
Only if you are on Plus, where UI extensions and Functions make it accessible; on standard Shopify it is closed. That is less of a constraint than it sounds for an LA apparel brand, because the checkout is rarely where you are losing people. The drop-off concentrates much earlier, at the size decision. Fit guidance, returns clarity and a cart drawer that does not hide the shipping threshold routinely outperform anything we could test inside the checkout itself — and every one of those is available on any plan.
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.
Not the way we implement it. Server-side or edge-rendered variants where the platform allows, and a strict script budget where it does not. We measure Core Web Vitals before and after every test and pull anything that costs more than 50ms.
Next step
Conversion Optimisation for your Los Angeles 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.