Stores buy optimisation expecting a conversion uplift and are often sold traffic work instead. The three honest categories are getting more of the right visitors, converting more of the visitors you have, and fixing the product data that decides how you appear in shopping surfaces. The third is the least glamorous and is where most stores have the largest unclaimed gain.
Product data is the cheapest win in most stores
Titles, descriptions, images, identifiers, availability and price feed every shopping surface, and merchants routinely lose impressions to missing identifiers or disapproved items nobody has looked at. The requirements are published and checkable. A supplier who begins by auditing the feed and clearing disapprovals is doing the highest-return work first, and you can verify the before and after yourself.
Conversion work is testing, and testing needs traffic
Real conversion optimisation means forming a hypothesis, running a test long enough to be meaningful and keeping the winners. Below a few hundred conversions a month most tests cannot reach a conclusion, so for smaller stores the honest programme is fixing known problems, not experimenting. An agency proposing a testing retainer for a store with thirty orders a month is selling a process the data cannot support.
Category and product pages are the search surface
Most ecommerce organic traffic lands on category pages, which are also the pages most often left as a bare grid. Adding genuine buying guidance, filters that produce indexable pages only where there is demand, and unique descriptions for the products that matter is where the durable search gain lives. Duplicating the manufacturer's description across a thousand pages is the default and it is the problem.
Site speed and checkout still decide the last step
Page experience matters most on the paths where money changes hands, and a slow checkout loses orders regardless of the rest. Measure the real user data rather than a lab score, fix what the field data flags, and treat the checkout as its own project with its own measurement.
Questions people ask about ecommerce optimization services
What should be optimised first?
The product feed and the disapprovals, then the checkout, then the category pages. That order is roughly by return per hour of work for most stores.
How much traffic do I need for A/B testing?
Enough conversions for a test to reach significance in a reasonable window, generally several hundred a month. Below that, use qualitative research and fix known problems instead.
Is a conversion guarantee meaningful?
Rarely. Conversion depends on your prices, stock and market as much as on the site, which is why guarantees are usually written so they cannot fail.
Should unique descriptions be written for every product?
For the products that carry the revenue and the search demand, yes. For a long tail of near-identical variants it is rarely worth the cost.