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Total Experience  | 10 Jun 2025

Conversion Rate Optimization Along the Customer Journey: The Retention Phase

These 5 Factors Influence the Retention Phase

Autorenbild Patrick Schneider
Patrick Schneider

The first purchase is only the beginning of a long-term customer relationship. The retention phase is about retaining customers, increasing their satisfaction, and motivating them to make repeat purchases. Loyal customers are particularly valuable for companies as they generate higher revenues and build strong brand loyalty.


Companies that actively retain customers reduce their customer acquisition costs (CAC), increase customer lifetime value (CLV), and ensure sustainable growth. Targeted Conversion Rate Optimization (CRO) helps increase repeat purchases, prevent churn, and develop personalized measures.

Key KPIs for Conversion Rate Optimization in the Retention Phase

  • Repurchase Rate: How many customers place another order after their first purchase?

  • Customer Lifetime Value (CLV): What is the average revenue per customer over the entire customer relationship?

  • Churn Rate: How many customers churn after the first purchase and do not return?

  • Email Open and Click Rates: How well do personalized retention campaigns perform?

  • User Activity: How often do existing customers interact with the brand (e.g., website visits, app usage)?

Relevant CRO Methods for the Retention Phase

  1. Personalization: Individual Offers and Targeted Customer Engagement

    Individual communication leads to stronger customer loyalty. Targeted product recommendations, personalized content, and exclusive offers encourage repeat purchases and strengthen the brand experience.


    Use Case: An online fashion retailer sends personalized discount codes based on previous purchases to motivate a new purchase.


    Our strategic recommendation here is: Think beyond email personalization. Dynamic homepages, personalized product recommendations, and individual landing pages create a tailored shopping experience. Furthermore, predictive analytics can be used to forecast future purchase probabilities and provide the right impulses.


  2. Digital Analytics: Utilizing Customer Data for Targeted Measures

    Data analysis helps understand the behavior of existing customers and derive targeted measures. By tracking purchase histories and engagement data, potential churn risks can be identified early. Segmented data analyses can be used to address first-time buyers, loyal customers, and inactive users differently. Heatmaps & session recordings for existing customers can be used to understand which elements on the website motivate or deter repeat visits.


    Use Case: A streaming service analyzes the viewing behavior of its users and suggests new content based on their preferences to increase usage.


  3. Loyalty Programs: Creating Incentives for Repeat Purchases

    Loyalty programs motivate customers to make repeat purchases – not only through discounts but also through exclusive benefits and gamification elements. The ROI of successful loyalty programs is high – in our infographic, we have compiled and visualized current figures from reports by KPMG, Deloitte & Co.


    Use Case: An online supermarket offers customers points for every purchase, which they can redeem for discounts or free products.


    Our strategic recommendation: Use A/B testing to test different reward mechanisms (points vs. exclusive benefits vs. VIP status). Community elements can be incorporated to foster long-term customer loyalty (e.g., exclusive events, beta tests for new products). You can learn more about innovative loyalty approaches in our whitepaper.


  4. User Research: Systematically Utilizing Customer Feedback

    To build long-term customer relationships, it is crucial to address customer needs. Surveys, reviews, and usability tests help identify optimization potential. Data from reviews, live chats, and support requests should be evaluated to identify recurring problems or areas for improvement. Targeted measures can be derived from this feedback to eliminate barriers to usage or repeat purchases.


    Use Case: A SaaS company conducts regular surveys to identify weaknesses in the user experience and adapt product development accordingly.


  5. A/B Testing: Developing Effective Customer Engagement and Reactivation Strategies

    A/B tests can also be used in the retention phase to determine which type of customer communication works best.


    Use Case: An online bookseller tests two different versions of a reactivation email – one with a direct discount and one with a personal book recommendation – to find out which strategy achieves the highest repurchase rate.


    Our strategic recommendation here is: Test which types of incentives are most effective for different customer segments.

Conclusion: Actively Strengthening Long-Term Customer Relationships

The retention phase is crucial for transforming first-time buyers into loyal regular customers and brand ambassadors. Targeted CRO measures such as personalization, analytics, loyalty programs, and strategic customer engagement help increase repeat purchases, minimize churn, and enhance long-term customer satisfaction.


How effective is your retention strategy? Let's analyze together how you can retain your customers long-term and increase customer lifetime value!

Autorenbild Patrick Schneider

Patrick Schneider

Patrick works as a Senior Digital Business Consultant at diva-e and has extensive expertise in customer centricity and the development of digital strategies in B2B and B2C. With his experience, he supports our clients in their digital transformation by designing and implementing complex business processes.

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