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Conversion Uplift

Loss Aversion

Definition

Loss aversion is a strong preference people have for avoiding losses rather than making gains. This was first identified by the psychologists Amos Tversky and Daniel Kahneman. They found that people have a loss aversion ratio of between 1.5 and 2.5. This means that for people willing to risk a loss of £100, most people would require a potential gain of between £150 to £250. As a result loss aversion is a strong factor in preventing people changing from the status quo or taking even small risks.

This Carphone Warehouse ad uses loss aversion to tell a more compelling story about why customers to switch their tariff. When we frame a positive outcome as a potential loss this is perceived to be more valuable than if we expressed it as a gain.

Image of Carphone Warehouse loss aversion advert

Source: Carphone Warehouse

Prospect theory explains how people respond to decisions where the probability of different options is known. Loss aversion is an important factor in such situations.

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?

Loss aversion – Why are people more concerned about potential losses than winnings?

InsideBE.com – Loss Aversion, Everything You Need to Know

Credit:

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

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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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