CONVERSION RATE OPTIMISATION

Unlock the Profit Hidden in Your Funnel

You’ve already paid for the traffic. Now it’s time to maximise the return. We’ll help you identify where customers drop off, eliminate friction, and turn more clicks into conversions without increasing your ad spend.

CRO That Pays for Itself

Traffic is expensive. You pay for every click, yet most of those visitors leave without converting. That’s where we come in.

We start by mapping your funnel end to end, from first impression to final purchase. We look at what users are doing (and not doing), where the friction sits, and what’s stopping them from saying “yes.” With behavioural insights, we don’t just see numbers—we understand why users drop off.

Then comes the testing. We design and launch data-driven experiments across your key pages, from messaging to layout, checkout flows to upsells. Every test is structured to improve one thing – how many people move from click to customer.

Finally, we track results and feed learnings back into your growth strategy. That way, your funnel isn’t just “fixed”, it’s continually evolving, squeezing more revenue out of every campaign you run.

WLDK Results 5
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Our Methodology

CRO only works when the right foundations are in place. These three elements turn guesswork into repeatable, scalable growth.

Put yourself in their shoes

Bad UX is a hidden cost

Your visitors aren’t leaving because they don’t want your product – they’re leaving because the journey frustrates them. We use heatmaps, recordings, and behavioural data to pinpoint exactly where trust breaks down or friction builds up. With those insights, we rebuild smoother paths to purchase that keep people moving forward instead of dropping off.

Replace guesswork with evidence​

Data beats opinion

Once problem areas are identified, we move into structured experimentation. Each change is tested as an A/B or multivariate experiment, isolating one clear variable so results are conclusive. Over time, these tests create a library of proven improvements. Every win compounds into the next, steadily increasing the share of visitors who convert into paying customers.

Cut through the noise

Numbers never lie

Data should tell you what to do next, not just what already happened. We cut through vanity metrics to focus on the numbers that truly drive revenue. By tracking impact across funnels, cohorts, and customer journeys, we give you clear priorities and measurable wins that grow your bottom line.

Brands we've worked with

Trusted by global brands and fast-growing startups.

Nestle ripple+ Strepsils Durex M&S Opticians Flutterwave ArcX Nestle ripple+ Strepsils Durex M&S Opticians Flutterwave ArcX

DON'T WASTE ANOTHER CLICK

Learn what’s working, what’s broken, and how you can turn clicks into revenue.

FAQs

Frequently Asked Questions

The most common questions brands ask before working with us

Our audit reviews your full customer journey – from your current ad strategy and landing pages all the way to checkout. We analyse key user flows, heatmaps, and session data to identify friction points, leaks in your funnel, and missed opportunities.

It depends on your testing velocity, but most clients start seeing measurable improvements within 4–6 weeks after implementing our recommendations and creative tests.

 

No, we work with all kinds of brands, but we specialise in DTC e-commerce, where our strategies and experience deliver the best results.

Absolutely, this is what we specialise in! We combine data-driven CRO with high-converting direct-response creative, so you can effectively bring traffic to your store and turn more of it into customers.

It depends on the test, but the ultimate goal is always the same – to improve your Marketing Efficiency Ratio and help you scale profitably. In CRO tests, we typically aim to reduce bounce rates, cut drop-offs at every stage of the journey, and increase key interactions, from email sign-ups to add-to-carts, checkouts, and purchases.

We can still help. For lower-traffic brands, we use a mix of qualitative insights, usability testing, and faster iterative changes to get reliable results without waiting months for statistical significance.