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Conversion Uplift

Choice Architecture

Definition

Choice architecture is about how choices are presented and helping people build decisions. How options are presented or framed will inevitably influence the decisions people make.

The FT.com site below has 3 subscription plans, one of which is for print only. You might wonder who would want the print only plan when for the same price you can get print and digital. From research we know that having such an inferior plan as the print only option can heavily influence the proportion of users who choose one of the remaining plans. The print only offer is a decoy plan and is unlikely to get many subscriptions, but having such an option often boosts the number of people selecting the premium plan.

Image of the Financial Times subscription offers
Source: FT.com

Try A/B testing adding a decoy plan to see how it affects your subscriptions. Also see decoy plans.

Resources:

Conversion marketing – Glossary of Conversion Marketing.

Digital Marketing toolbox – Over 300 resources.

Credit:

Decision-making icons created by Uniconlabs – Flaticon

Featured image: The Economist

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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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