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.
Pittsburgh, PA
Conversion Rate Optimisation in Pittsburgh, PA
Two different conversion programmes for two different Pittsburgh businesses: statistical testing where the traffic exists, qualification work where it does not.
Delivered remotely for brands across Pittsburgh and Pennsylvania.
Grow · Pittsburgh
Why Pittsburgh brands come to us for this
- Statistical A/B testing where session volume supports it, and an honest no when it does not
- Quote-quality metrics for low-volume sellers: completeness, round trips, and time from first visit to purchase order
- Spec findability testing — site search logs and failed filter attempts treated as conversion research
- Lead time and stock visibility tested as a purchase driver, because a delivery date decides industrial orders
- Season-aware calendar: research and build in the quiet months, test hard during the merchandise and gifting peaks
Standard CRO advice assumes forty thousand sessions a month and eight hundred orders. A good share of Pittsburgh's commerce does not look like that. A specialty alloy supplier might take ninety orders a month at four figures each, and no amount of button testing will ever reach significance on that volume. Pretending otherwise is how agencies sell testing programmes that produce charts and no decisions.
So we run two distinct programmes here. For the consumer side — Lawrenceville brands, Strip District food, merchandise businesses in season — it is the standard discipline: funnel research, session replay, a prioritised backlog scored on impact, confidence and effort, tests run to a pre-declared sample size, and every result published including the losers. Peak season actually helps, because a merchandise brand running hard from September gets the traffic to answer questions in weeks that would take a quarter in March.
For the low-volume, high-value side, conversion means something different and is still entirely measurable. The metrics become spec findability, quote completeness, and the number of email round trips between first visit and purchase order. If an RFQ arrives with material, quantity, tolerance and a drawing attached instead of a sentence saying 'need a price', that is a conversion improvement you can count without a single A/B test. Same rigour, different instrument.
Local context
The Pittsburgh funnel does not end at checkout
For most industrial and equipment sellers in this region the storefront is one step in a process that finishes on the phone, in an email thread or inside an ERP. Optimising only the part that Shopify can see means optimising a fraction of the journey. We instrument the whole path: which spec fields visitors search for and fail to find, where a drawing download precedes a quote request, how often a request arrives incomplete, and how many messages it takes to turn a request into an order. That data is what tells us whether the fix is a comparison table, a compatibility finder, a stock and lead-time display, or simply a form that asks the four questions your sales desk always has to ask anyway. On the consumer side, we time the testing calendar to the city's demand shape — the merchandise and gifting peaks are when there is enough traffic to answer real questions, and the quiet months are when winning variants get hard-coded into the theme.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Pittsburgh 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 Pittsburgh store
We do not work off a rate card. Every Pittsburgh 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 Pittsburgh — your questions
Not a classic A/B test on conversion rate — the maths will not get there in a useful timeframe. What is testable is upstream and downstream behaviour: filter usage, spec searches that return nothing, drawing downloads, quote form completion, and the rate at which requests arrive with everything your desk needs. Those events happen far more often than orders do, which is exactly what makes them measurable.
That is the best time to test, and the worst time to change the theme. We run experiments during peak because the traffic answers questions quickly, but we lock structural work and anything touching checkout or fulfilment. Winners get implemented properly in February when a bug costs you a slow Tuesday instead of a playoff weekend.
In this market it is often the highest-impact element on the page. An industrial buyer with a machine down is choosing on availability, not on price or presentation, and a page that says nothing about when the part ships loses to one that commits to a date. It is also one of the few things you can test at moderate volume, because it changes behaviour at the collection and search level, not just at checkout.
Because they research on the site first and decide there. The call is the last step of a process that already happened, which is why sales teams keep hearing 'I saw it on your site'. We measure the site's job as qualification rather than as checkout, and we can show whether calls arrive better informed and shorter. That is a real number even when the transaction never touches the cart.
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 Pittsburgh 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.