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Conversion Uplift

Heuristics

Definition

Heuristics are educated guesses, rules of thumb or mental short-cuts that guide cultural, social and personal behaviour to speed up decision making and save mental energy. However, they can sometimes result in sub-optimal decision making (e.g. Price reflects quality and scarcity makes something more desirable).

We use them all the time, at work, at play and in social occasions. In conversion we may use the Lift Model to identify areas of interest.

In usability there are many heuristics that are employed including the ones outlined below.

Image of diagram with 9 website usability heuristics

Heuristics provide a useful framework for responding and interpreting the world to assist our decision making. Here are 20 of the main usability heuristics from Weinschenk and Barker.

Resources:

Conversion marketing – Glossary of Conversion Marketing.

Over 300 tools reviewed – Digital Marketing Toolbox.

A/B testing software – Which A/B testing tools should you choose?

Website optimisation process – 8 steps guaranteed to boost your conversion.

Prioritisation – How should you prioritise your A/B test ideas?

Credit:

https://www.flaticon.com/search?word=evaluation

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Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.
Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.

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