Customer Segmentation & Personalization: Shopify's Top Tech Apps Share Best Practices

Insight

The difference between good and great eCommerce brands often comes down to how well they understand and speak to their customers. Getting personalization right can be transformative, from increasing customer lifetime value to driving repeat purchases. 

We recently brought together experts from Attentive, Simon Data, DataSmith, Gorgias, and Rebuy to share practical strategies that drive results. Let’s explore the key takeaways.

8 Ways to Level Up Your Customer Segmentation and Personalization Strategy

Here are the most actionable, high-impact strategies our experts shared for turning customer data into revenue.

1. Start with an RFM Analysis

The foundation of any effective personalization strategy starts with RFM: 

Recency: How recently a customer made their last purchase

Frequency: How often they purchase over their lifetime

Monetary: How much they spend on average per order

It’s the simplest and clearest way to rank your customer base. It allows you to identify high-value customers who are deeply engaged with your brand and have a substantial impact on revenue. 

Tip: Daasity fully automates RFM analysis (even if your brand has its own specific metrics and parameters). You can also learn how to calculate it yourself in our RFM guide.

Once you’ve established these foundational segments, you can layer in additional data points such as product categories, discount sensitivity, and buying preferences to create more sophisticated targeting strategies. 

2. Tailor Your Messaging 

Generic batch-and-blast messaging won’t cut it: Today's customers expect personalized experiences at every touchpoint. An effective approach is to segment your audience based on where they are in the customer lifecycle, their needs, and individual purchase triggers.

This allows you to deliver relevant content and offers, whether you’re trying to convert a first-time buyer, encourage a second purchase, or reward loyal customers.

Tip: Leverage Simon Data as a CDP and Daasity Audiences to create highly-targeted segments based on customer behavior. You can send these audiences to your marketing platforms to drive personalized messaging at scale.

3. Leverage Customer Data

When you dig into your customer data, new growth opportunities begin to emerge. Purchase data, customer support queries, and on-site customer behavior can tell you a lot about specific triggers and trends that drive sales.

For example, you might notice certain products are often purchased together, helping you create more effective product bundles and recommendations. This is product affinity. Or you might notice patterns in browsing behavior that indicate purchase intent, like when customers repeatedly view the same product or spend time reading reviews.

4. Make VIP Customers Feel Special

Brands often focus on acquisition, but retention is essential. Your high-value customers (typically the top 20%) can drive up to 65% of your total lifetime value, making them crucial to your long-term success. 

Smart brands are moving beyond simple discounting to create truly exceptional experiences for these customers, like early product access, tailored product recommendations, and personalized service.

5. Embrace Multi-Channel Communication 

Data shows that customers who engage across multiple channels (like email and SMS) generate higher revenue. The key is understanding when and how to use each channel effectively. 

For best results, coordinate your messaging across platforms, maintain consistent personalization, and respect customer preferences for how they want to hear from you.

Tip: Use Attentive to execute personalized email and SMS campaigns, with AI-powered tools that optimize messaging for each customer segment via Daasity Audiences. 

6. Optimize Upsell and Cross-Sell Opportunities 

Personalized recommendations, when relevant and timely, can significantly boost revenue. For best results, extend these recommendations across every touchpoint, from your homepage to checkout, email to SMS, and even customer support interactions. This helps customers discover new products they will love —and boosts your revenue.

Tip: Rebuy's personalization engine helps you create intelligent shopping experiences with targeted product recommendations across your store, from homepage to checkout and beyond. 

7. Build a Strong Tech Stack 

Effective personalization at scale requires the right technology. The right tool stack makes it easier than ever to get the right message, to the right person, at the right time. 

Consider these tools to enhance your personalization efforts:

  • Daasity is a unified commerce platform that provides powerful insights into sales growth 
  • Simon Data activates customer segments through their marketing-focused CDP
  • Attentive enables personalized SMS and email marketing campaigns
  • Rebuy adds intelligent product recommendations throughout the customer journey
  • Gorgias enhances customer support with AI & personalization
  • DataSmith implements data strategies across platforms for eCommerce growth

8. Measure Metrics That Matter 

When implementing personalization strategies, focus on metrics that directly impact your bottom line. Key indicators to track include Average Order Value (AOV), Customer Lifetime Value (LTV), retention rate, and revenue per customer. 

Pay special attention to how these metrics vary across your different segments. Understanding the impact of your promotions on different customer groups often reveals key opportunities for growth.

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