Analytics forensics
Funnel drop-off by device, browser, traffic source and landing page. The problem is almost never uniform — it is usually one segment behaving very differently from the average that is hiding it.
Service
You already pay for the traffic. CRO is the work of getting more of it to buy — and it lowers your cost per acquisition on every channel at once, without adding a rupee to your ad budget.
Doubling ad spend doubles your costs. Improving conversion rate does not. Take a store converting at 1.4% and move it to 1.8% — a change most sites have sitting in plain sight — and your effective cost per acquisition drops by roughly 22% overnight, on organic and email traffic as well as paid.
That is why I will almost always look at your site before I look at your bid strategy. There is no point paying more for traffic that a broken mobile checkout is going to lose anyway.
Funnel drop-off by device, browser, traffic source and landing page. The problem is almost never uniform — it is usually one segment behaving very differently from the average that is hiding it.
Watching real sessions surfaces things analytics cannot: rage clicks on a non-link, a field people abandon, a sticky bar covering the button on one phone size.
A structured walkthrough of each key journey against clarity, friction, motivation and anxiety — the four things that decide whether someone completes an action.
Exit surveys, post-purchase questions and your own support tickets. The objection that costs you the most sales is usually already written down in your inbox.
Largest Contentful Paint, interaction latency and layout shift on real mobile connections — measured on your slowest meaningful page, not your fastest.
Hypotheses written before the test, a decided sample size, and results recorded whether they win or lose. A losing test that teaches you something is not a failure.
For statistically sound A/B testing, roughly 1,000 conversions a month gives you results in a sensible timeframe. Below that, testing takes months to reach significance — so the work becomes structured diagnosis and fixing obvious friction rather than split testing, which on low-traffic sites usually produces bigger gains anyway.
Partly. But most conversion problems are not aesthetic. They are a form asking for information people are not ready to give, a price that appears three steps too late, a mobile layout that buries the button, or a page answering a question the visitor never asked. Diagnosis comes before design.
Shopify and WooCommerce most often, plus WordPress and HubSpot for service businesses. The method does not change with the platform; the implementation route does.
No, and I would be sceptical of anyone who does. Some tests lose, and a test that loses still teaches you something about your customers. What I will commit to is a structured process, honest reporting of what happened, and not quietly dropping the results that did not go my way.
Directly. Lifting conversion rate from 1.4% to 1.8% cuts your effective cost per acquisition by around 22% on exactly the same spend — and it compounds across every channel at once, including organic and email. It is usually the cheapest growth available to an account.
Paid media on Google and Meta, managed to profit rather than to clicks.
A predictable flow of qualified leads at a cost you can plan around.
Shopping feeds, Performance Max and the unit economics underneath them.
GA4, GTM and server-side tracking that reports numbers you can trust.
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