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Conversion Uplift

Decoy Effect

Definition

The decoy effect is a cognitive bias that means people can change their preference between two choices when a third (decoy) option is introduced. The decoy has to be clearly inferior in all respects to one of the offers and inferior in some respects to the other option to make them look more attractive.

In the example below the introduction of the middle plan (Print only subscription) draws attention away from the digital only plan. It persuades more users to choose the more expensive plan. The decoy (print only) makes the digital + print subscription look more appealing. The digital only plan appears to be a foolish option.

Below is an example of decoy offer from The Financial Times. Notice the “Print Trial” offer is the same as the “Print and Digital” package so there is no real benefit in the former plan. As all choices are relative, the “Print Trial” helps make the other two plans appear more attractive. It should encourage more people to subscribe to the the “Premium Digital Trial” plan.

Image of FT.com subscription offers which includes a decoy offer

Source: FT.com

Resources:

Conversion marketing – Glossary of Conversion Marketing.

Over 300 tools reviewed – Digital Marketing Toolbox.

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

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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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