Ecommerce CRO Agency& Shopify Optimization

An ecommerce CRO agency studies how shoppers behave across your whole buying funnel. We find the friction points: on product pages, in the cart drawer, and at checkout. Then we design careful A/B tests to fix them. The goal is simple. More visitors complete a purchase, and revenue per session goes up, without spending more on ads.

We use five data sources together: GA4 funnel reports, heatmaps and click maps, session replays, customer surveys, and Core Web Vitals speed audits. Each one answers a different question. Analytics shows where shoppers drop off. Replays show why. Speed audits catch friction the other tools miss entirely.

Stores with 50,000 or more monthly visitors and 500 or more monthly orders can run fast, reliable A/B tests. Smaller stores do not have enough traffic for that. For those, we make high-conviction fixes instead, grounded in Baymard Institute research and real session-replay evidence rather than a guess. A low-traffic store would need months to reach a valid split-test result on just one change.

Every test runs until it hits at least 95 percent statistical confidence. That takes a minimum of two full business cycles, or 14 to 28 days. This window accounts for weekend shopping patterns and day-of-week swings. We also check that traffic split evenly between the two versions. An uneven split is one of the most common causes of a false result.

We use Shopify Checkout Extensibility to add custom tools right inside checkout: address autocomplete, order notes, delivery date pickers, gift messages, upsell offers, and trust badges. These extensions run inside Shopify's own checkout. They do not redirect to a third-party page, so they automatically inherit Shop Pay's fast load speed and its PCI security compliance.

Shop Pay converts about 50 percent higher than a standard guest checkout. It lets more than 150 million registered US shoppers pay in one tap, using a saved biometric login, which skips manual address and card entry entirely. We set Shop Pay as the default option for returning devices on mobile. Typing a card number on a phone keyboard is one of the biggest causes of checkout abandonment.

We rework the PDP layout so pricing, variant options, and the Add-to-Cart button sit above the mobile fold. We add a sticky buy bar that follows the scroll, real review snippets, and clear shipping estimates. Every layout change gets tested live first. We check its effect on add-to-cart rate and revenue per visitor. Nothing ships just because it looks better.

Yes. We build custom slide-out cart drawers with a free-shipping progress meter, one-click add-on products, and bundle builders. Together these lift Average Order Value by 12 to 25 percent. Our cross-sell picks come from real co-purchase data in your own order history, not a generic "customers also bought" widget bolted onto a theme.

Google research found that every 0.1-second gain in mobile speed lifts retail conversion by 8.4 percent. A slow mobile load causes an immediate spike in bounce rate and cart abandonment. Mobile shoppers are also more likely to be on a weak cell signal. That makes the speed gap between a lean theme and a bloated one feel much bigger on mobile than on desktop.

We remove dead app scripts, compress hero images as WebP, inline critical CSS, and defer JavaScript that is not needed right away. We also fix whatever is causing layout shift. Together, this gets Largest Contentful Paint under 1.5 seconds. We audit every installed app one at a time, since a single unused review widget or tracking pixel running in the background can add several hundred milliseconds to every page load.

Yes. Better Core Web Vitals scores directly help Google's Page Experience ranking signal, and lower bounce rates tell Google your content is engaging. A faster PDP or collection page also gets crawled more efficiently. That matters for large catalogs, where crawl budget decides how fast new or updated products get indexed.

We audit every installed Shopify app and tracking pixel, and measure the load delay each script tag adds. Then we merge redundant apps and build lightweight custom Liquid or React features straight into the theme. Many stores run three or four apps that all do roughly the same job. Replacing them with one custom feature removes all that extra script weight.

Across a full 90-day CRO program, clients typically see conversion rate rise 15 to 35 percent. Average Order Value usually climbs 10 to 20 percent alongside it. The gains build as winning tests stack up: early wins tend to come from checkout and speed fixes, with PDP and merchandising tests adding more in later weeks.

We work in 30-day sprints. Each one runs a full data audit, ranks the test roadmap using the PIE framework (Potential, Importance, Ease), then moves through UI/UX design, Liquid or React development, and statistical A/B analysis. A winning test merges into your live theme once verified. Every sprint ends with a written result, win or loss, and that result feeds straight into the next roadmap instead of starting the audit over.

No. We run focused 90-day sprints with clear milestones and statistically validated results. After that, a monthly optimization retainer is optional, not required. If the 90-day sprint does not produce a measurable lift against your baseline, you owe us nothing further, and you keep every winning test we already shipped to your live theme.

You can book a 30-minute discovery call with founder Bhavesh Barot. We review your GA4 funnel data and your mobile PDP and cart experience together, then hand you a ranked conversion roadmap. You leave the call with specific test ideas tied to your own store's data, not a generic checklist copied from a template audit.

The biggest wins usually come from the smallest fixes. A numeric keypad on phone and card fields, instead of a full keyboard. Address autocomplete. A shipping estimate shown early, instead of sprung on the shopper at the final step. And Shop Pay or Apple Pay set as the default option for returning devices.

We split recovery messages by the exact point where the shopper dropped off: the cart page, the shipping step, or payment. Each group gets different timing and wording, pulled from real GA4 behavior data. The incentive also escalates gradually. We lead with a free-shipping reminder, and only offer a discount code later if it is still needed.

We start with whatever is still unresolved above the mobile fold. That means image order and zoom quality, where the review snippet sits, sizing and fit guidance, and whether pricing and shipping costs are clear before the shopper has to scroll. We judge every change against add-to-cart rate and revenue per visitor, never against visual preference alone.

It can, if the offer interrupts checkout itself. So we test upsell placement on the order confirmation page, and in a separate follow-up flow, never inside checkout. We also measure two things at once: initial conversion and 90-day subscriber retention. That way, an upsell that boosts short-term order value but hurts retention gets caught before it ships for good.

Every test changes exactly one variable at a time. It runs to a minimum sample size and a 95 percent confidence threshold, over at least two full business cycles. We log the result in a written test record either way, win or lose, so a losing test still produces a usable finding instead of getting quietly forgotten.