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.
In Dubai the biggest conversion problem is usually not the add-to-cart button — it is the Arabic path and the payment method nobody tested.
Delivered remotely for brands across Dubai and United Arab Emirates.
Most CRO programmes in this market test one version of the store and report one number, which hides the fact that you are running two experiences with different conversion rates. The Arabic path almost always converts worse, and not because Arabic-speaking buyers are less willing — because the mirrored layout has a broken component nobody has looked at, or because the trust content, the size guidance and the returns policy were only ever written properly in English. Splitting the baseline by language is usually the first honest number we produce.
The second is the payment mix. A store where most orders arrive as cash on delivery does not have a conversion problem so much as a completion problem: the checkout completes, the delivery fails, the cash comes back, and the reported conversion rate was never real. We test against delivered, paid orders rather than checkout completions, which changes which variant wins surprisingly often. Prepayment incentives, wallet and instalment placement, and the wording around delivery and returns are all testable levers on that share.
Then the ordinary friction, which here has an unusual shape. Address entry is the standout: a checkout built for postal codes fights a market that does not use them, and shoppers who cannot describe their building in the fields provided either abandon or enter something the courier cannot use, which becomes a failed delivery a week later. Delivery promise matters more than price for a lot of Dubai buyers — same-day and next-day are the local norm, so a vague estimate reads as a risk. And Ramadan shifts traffic to late-night hours, which means a test running across it is measuring two different populations unless you plan for that.
Research in Dubai has to be done twice. Session recordings and heatmaps on the English store tell you nothing about where the Arabic layout breaks, and the Arabic recordings routinely show the same handful of failures: a filter drawer that opens off-screen, a quantity stepper whose plus and minus are reversed, a price and currency that render in the wrong order, a form field that jumps direction when the user types Latin characters into an Arabic form. We run the research pass on both, then we prioritise tests against the audience segment they affect. The population itself is another split worth respecting — Dubai is majority expatriate, and a store's buyers can span Emirati nationals, long-term South Asian residents, Western expats and GCC visitors shopping during a Dubai trip, all with different payment habits and different expectations about delivery. Reporting one blended rate across all of them tells you almost nothing you can act on.
The same standard of work we run for every client — applied to a Dubai 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 Dubai 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.