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Conversion Uplift

Buyer Legends

Definition

Buyer Legends is an agile business process for user experience analysis created by Bryan and Jeffrey Eisenberg that is outlined in their book Buyer Legends. The process uses buyer personas to evaluate the user experience from the customer’s perspective and generates a narrative of the customer journey to identify areas for improvement.

Image of Buyer Legends process

The process begins with identifying an important customer segment and researching their characteristics. It is then necessary to select one of four temperaments to use for the user journey analysis. A pre-mortem is then used to identify possible reasons why a visitor would not convert.

Image of Keirsey's four temperaments
Image Source: Conversion Sciences

The next step is work back from a successful conversion in reverse chronological order. Here we focus on how the user feels during each step of the customer journey. This allows us to write a narrative of the customer journey, including opportunities missed, pain points and emotional responses to each step in the process. Finally we ensure the buyer legend is measurable and we agree improvements.

Also see post – How to use personas to improve conversions. See personas.

Resources:

Conversion marketing – Glossary of Conversion Marketing.

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Price icons created by Freepik – Flaticon

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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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