7 Data-Powered Strategies to Elevate Customer Retention


As acquisition costs continue to rise, understanding and implementing effective retention strategies is crucial for any brand looking to thrive. Using data can help you create powerful customer retention strategies that boost loyalty and profitability.

7 Most Effective Customer Retention Strategies

Let’s jump into the most effective, data-backed ways to drive customer retention and loyalty.

1. Leverage Advanced Segmentation

Segmenting your customers into different groups builds the foundation for personalized, tailored messaging and experiences.

Most brands use some form of segmentation. But if you are only segmenting based on basic factors like demographics, you might be missing out.

These segments are a good place to start:

  • High, medium, and low value customers
  • Active and lapsed customers
  • Single versus multi-purchasers
  • Discount versus full-price purchasers
  • Subscribers versus non-subscribers (if your brand has a subscription program)

2. Run Tailored Retention Campaigns

When you use data to inform your email, SMS, and paid media, your campaigns are much more likely to resonate with your customers.

After all, which approach do you think will perform better—a generic email blasted to everyone or a thoughtful message related to your last purchase, and perhaps a gift or promotional offer?

Tip: Leverage Daasity Audiences to create and update customer lists for personalized marketing campaigns across email, SMS, and social media.

For example, Craft Gin Club, the UK's largest subscription gin service, runs extremely effective retention campaigns on Meta. They use Daasity Audiences to refine their targeting strategy and distinguish between different types of customers—such as monthly subscribers, shoppers looking for one-time purchases or gifts, and customers who haven't bought anything recently. This ensures all messaging is tailored and relevant, enhancing ROI.

3. Identify and Engage High-Value Customers

High-value customers (HVCs) are the VIPs of your customer base. They purchase from you frequently and drive a significant portion of your revenue.

Doubling down on your most profitable customers can have a huge impact on your bottom line. After all, why worry about Customer X, who made one purchase for $20 six months ago, when you could focus on Customer Y, who's made 10 purchases in the same time frame?

The most effective way to identify high-value customers is with an RFM analysis.

  • Recency: How recently a customer has made a purchase
  • Frequency: How often they purchase
  • Monetary value: How much they spend

Tip: Daasity makes it easy to identify and segment HVCs based on RFM scores and other key metrics. Check out our guide to High-Value Customers to learn more.

4. Target Lapsed Customers

Recognizing and re-engaging lapsed customers, especially those who were once high-value contributors to your revenue, is crucial.

Over time, even your best customers can drift away due to various reasons—changing needs, competitors' offers, or simply losing touch with your brand. That’s why it’s important to keep a close eye on customer activity and take timely action to re-activate them.

For best results, tailor your communications to reflect their previous interactions with your brand, such as offering them a special discount on their favorite product or asking for feedback.

Tip: Use Daasity’s pre-built segments to identify who is, or was, a high-value customer. For instance, if someone was a HVC until a week ago but has now gone more than 90 days since purchasing, you can push Daasity data to your other marketing platforms and set up an email flow encouraging them to return.

5. Boost AOV with Product Affinity Analysis

Figure out which products customers buy together or sequentially and then set up strategic upselling and cross-selling campaigns to increase average order value (AOV) and purchase frequency.

For example, if customers typically buy product A and then product B, you can create a list of customers who have only purchased product A and send them an email campaign highlighting the benefits of product B.

Tip: Daasity makes it easy to understand product affinity. The product dashboard contains an affinity map of the different purchase flows.

You can also zoom in on specific purchase paths:

This helps you create powerful upselling and cross-selling campaigns based on actual data, not guessing what your customers might be interested in.

6. Drive Purchase Frequency with Review Data

The more often customers buy from you, the more revenue they will generate for your brand. This is especially crucial if your products are one-off purchases designed to last for years, like a car or high-quality cookware.

If this is you, consider tapping into review data to see who left a four or five star review, and  suggest other product lines to them to encourage them to repurchase.

Tip: Daasity integrates directly with Okendo, making it easy to analyze your review data.

7. Leverage Customer Feedback

Reviews and feedback can provide valuable insight into areas where your brand can improve customer satisfaction.

For instance, if multiple customers are commenting on long shipping times or high costs, this could be a sign your logistics need attention.

Digging deeper, consider product feedback, especially for high-value items. If customers frequently return a product because they find it too complex or not what they expected, you might need to adjust your messaging or create educational content.

You can use Daasity and Okendo to analyze review data at the SKU level. So you can see at a glance which products customers are happy with, and where you need to take action.

Ready to Drive Customer Retention with Data?

If you’re interested in learning more about Daasity and how we can help you do more with your data, get in touch now to chat with our team.

May interest you