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Conversion Uplift

Lifecycle Stage

Definition

The lifecycle stage describes where a visitor or lead is in their decision making process. New visitors may not even be aware of your brand and so you may need to establish credibility and demonstrate social validation. Returning visitors may be at the evaluation stage and could be looking to understand how you compare against the competition.

When a visitor is ready to purchase they will also have specific information needs. Understanding the different requirements for each step in the lifecycle stage can help you design more relevant user journeys and improve your conversion rate.

The traditional approach to lifecycle stages is to visualise a funnel that customers sequentially move through. In reality though people move back and forwards depending upon many factors. It is definitely not a linear process and may be more like a leaking bucket as shown here.

Image of behavioural economics decision bucket

The Behavioural Economics Conversion Bucket – Neal Cole, 2016

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?

Sale funnel – Is it time to kill-off the conversion funnel?

Types of A/B tests – How to optimise your website’s performance using A/B testing.

Credit:

Lifecycle 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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