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.
Conversion work for Istanbul exporters, where the biggest leak is usually not the layout but the buyer's uncertainty about buying from Turkiye at all.
Delivered remotely for brands across Istanbul and Türkiye.
Cross-border conversion has a distinct failure shape and it is not subtle once you look for it. Traffic arrives, product pages get read carefully, more carefully than a domestic store would see, and then people leave at three specific places: the moment they try to work out their size, the moment they try to work out total cost, and the moment the checkout hands them to a payment page that looks different from the store they were just on. Everything else is secondary until those three are fixed.
So the test programme starts where the money is leaking rather than with button colours. Measurement presentation and fit guidance on the product page. Landed cost stated early enough that it is not a surprise at step three. Delivery framed as a date range with the origin acknowledged rather than hidden. Returns explained with a real route, because a buyer who cannot picture sending something back to Turkiye prices that risk into her decision and usually decides no. Each of those is testable, and each has a bigger effect on an Istanbul store than any layout change.
The checkout is its own project. Because Shopify Payments is not available to merchants domiciled in Turkiye, most Istanbul stores settle through a third-party gateway, and that often means a redirect, a different visual language, and sometimes a page that speaks less confidently than the store. That transition is measurable, it is usually the single largest drop in the funnel, and it can be improved with gateway choice, wallet availability, and consistent presentation far more than with another round of copy edits upstream.
Istanbul brands routinely have a strong price-to-quality position and still convert below what that position should earn, because the buyer is not evaluating the product against a competitor. She is evaluating the risk of buying from a company she cannot verify, in a country she has no purchasing experience with, at a distance she cannot see across. Session recordings from these stores show the same behaviour repeatedly: the shipping page opened before the product page has finished being read, the returns policy opened from the cart, the size chart opened twice. That is a buyer looking for reasons to stop. Our test roadmap treats each of those as a hypothesis with a page-level intervention, and we sequence it against your traffic so the highest-uncertainty steps get tested first. On a store with modest volume that means fewer, larger tests on the checkout path rather than a queue of small experiments that will never reach significance.
The same standard of work we run for every client — applied to a Istanbul 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 Istanbul 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.