Ecommerce Agency: What Actually Lifts Conversion

Frequently asked questions

What does an ecommerce website development agency do beyond design?

It aligns UX, speed, architecture and analytics with conversion and retention goals, which is a different job from producing a visual design. In practice that means being accountable for whether the checkout converts, whether the site is fast on the mobile connections your customers actually use, and whether the analytics can attribute a change to a revenue outcome. An agency that cannot connect its decisions to those numbers is selling design, not ecommerce development.

Should I optimise speed before a redesign?

Usually yes, and the reason is sequencing rather than preference. Performance and checkout friction are measurable, fixable, and produce results in weeks. A redesign takes months, changes many variables at once, and makes attribution nearly impossible afterwards. Fixing speed first also gives you a clean baseline, so if you do redesign later you can tell whether it helped.

How often should an ecommerce site ship improvements?

Weekly or fortnightly, once tracking and test infrastructure are stable. The caveat matters: shipping frequently without instrumentation means you cannot tell which changes helped, so you accumulate changes rather than learning. Get the funnel measured first, then a fast cadence compounds. Before that, a fast cadence just moves things around.

Shopify or headless?

Shopify unless something specific forces the other choice. It launches faster, has an ecosystem that covers most requirements, and carries far less engineering overhead, which for most stores is the dominant cost. Headless earns its complexity when catalogue structure or merchandising workflow genuinely does not fit Shopify's model, or when performance and experimentation requirements need control the platform does not expose. Choosing headless for flexibility you never use is an expensive way to buy maintenance.

Can I trust published conversion benchmarks?

As directional context, not as targets. Benchmarks vary enormously by niche, price point, and traffic quality, so a figure drawn from a different mix says little about your store. What they are genuinely useful for is identifying common UX failure patterns worth checking, which is how sources like Baymard's checkout research should be read: a list of things to look for, not a number to hit.