Experimentation, measurement, analytics and personalisation programmes that compound over time.
15 articles
How to choose a customer engagement and personalization platform based on the size and maturity of your ecommerce. Companies don't need more campaigns: they need a layer able to turn scattered data into relevant decisions for each customer, in each channel, at the right moment.
Automating the answer is easy; automating the resolution requires permissions almost nobody has granted. An assistant that can explain the change policy but cannot change the flight has merely moved the wait one step further along.
The goal is to create a controlled and reconcilable measurement layer, not to bypass privacy or browser constraints. A server-side setup built purely to dodge a browser block will need rebuilding the next time the rules change.
A useful view does not merge everything: it connects entities and events with enough confidence for a specific decision. Forcing a match the data can't support creates a single customer view of the wrong customer.
Every data point should justify its collection through visible value, limited use and the ability to keep it accurate. A field on a form that nobody ever uses is a tax on the customer, not an asset for the business.
Personalisation means using a reliable signal to make a useful decision in a specific context. A recommendation based on a weak signal is worse than no recommendation at all.
The platform should be evaluated through real scenarios, economics and operational capacity, not by feature count. A platform with more features than the team can operate is a liability with a login screen.
The right decision starts not with the category name, but with the data, decisions and actions the business must coordinate. Buying the wrong category label usually means buying the wrong integration problem a year later.
Measuring incrementality means estimating a credible counterfactual and translating lift into net economics. Without a counterfactual, every campaign report is really just a description of what already happened.
Attribution describes journeys; incrementality determines how much value an investment created. Confusing the two leads teams to defend spend that never changed a customer's decision.
Conversion should be defined according to the business question, the demand unit and the actual booking state. Two teams measuring the same funnel with different definitions will always disagree about what is working.
Tracking should represent business decisions and states, not only screens. An event worth logging should answer a question the business actually asks, not just describe a click.
