Your next customer already visited

It varies by industry and intent: most Indian eCommerce sites sit around 1 to 2%, lead-gen and B2B often run higher on qualified traffic, and the best in a category are several times their peers. A good rate is one trending up against your own baseline, not a benchmark borrowed from a different business. We set the baseline first, then improve it.

Start by finding where visitors drop, not by redesigning everything: funnel analysis and session recordings show the exact step that leaks. Then fix that step, test the change, and keep the winners, so improvement compounds. Speed, clarity of offer, trust signals, and a shorter path to purchase move the needle far more than cosmetic tweaks.

CRO is usually a monthly retainer that covers research, design, build, and testing, sized to your traffic and the number of tests you can run. We scope it after a short audit rather than quote blind, and the first call produces a costed plan. On meaningful traffic it pays for itself, because the lift applies to revenue you are already generating.

Long enough to reach statistical significance, which depends on your traffic and how big the effect is: a high-traffic page may settle in 2 weeks, a low-traffic one in 4 to 6. We never call a test early, because a result read before significance is just noise. We size the test up front so you know what to expect.

The common culprits are a slow page, an unclear offer, weak trust signals, a long or confusing checkout, and a desktop-first design on mostly-mobile traffic. We diagnose which ones apply to you before changing anything, because the fix for a speed problem is nothing like the fix for a trust problem. Most sites leak in two or three identifiable places.

Usually conversion first, because every lift applies to all your traffic at once and costs nothing extra to serve. Buying more traffic into a leaky funnel just loses money faster. Once the funnel converts, paid and organic both return more for the same spend, which is why we often fix conversion before scaling acquisition.

It can be, but the approach changes: low-traffic sites take longer to reach test significance, so we lean on qualitative research, heatmaps, and proven best practice rather than slow A/B tests. We focus on the few high-impact fixes that do not need huge samples to justify. As traffic grows, formal testing takes over.