Here's My Approach
Conversion optimisation is less about individual experiments, and more about processes and strategies that allow multiple experiments.
A hypothesis-based strategy ensures objectivity, and gives you the best chance of learning and winning from your experiments. 
A good process with well-defined procedures gives your team a sense of involvement, and ensures you have analysis-rich experiments. 
Articles&News
How to determine what metrics you need for an A/B test
If you don’t learn anything actionable from your experiments, then those experiments have failed you. This is avoidable if you track the right metrics. Here’s how…
read more8 powerful levers for Conversion Rate Optimisation
How we can utilise powerful conversion levers to experiment with purpose…
read moreLessons in scaling and “productising” an Optimisation Process or…an exercise in cloning
How does one scale themselves to avoid becoming a bottleneck? I had this problem and experimented with a solution to resolve this. In this article, I describe the process along with details on how it went…
read moreHow to test big successfully
Testing big is sometimes necessary. I’ve written a detailed guide about how to go about it successfully…
read moreA visual guide to counting traffic into your A/B test
Understanding how and what traffic is counted into your experiments is super important. It’s not all that complex either as we’ll discover here…
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