Do all your customers get the same order confirmations, shipping updates, and receipts? Transactional segmentation lets you personalize those emails using data you already collect.
That matters because people open transactional emails far more often than marketing emails. So it’s worth making these emails count.
In this guide, I’ll show you how to segment customers with transactional data. We’ll go one step at a time.
What Is Transactional Segmentation?
Transactional segmentation groups customers by how they interact with your business. It doesn’t rely on broad demographics like age or location.
Instead, it looks at what customers buy, how often, and how much they spend. It also looks at how they engage with your transactional emails.
When you know these patterns, you can send emails that fit each customer. A first-time buyer and a 5-year regular shouldn’t get the same follow-up.
For example, you can:
- Welcome first-time buyers with helpful tips and resources.
- Offer loyal customers exclusive deals and early access to new products.
- Nudge customers who frequently abandon their carts to finish their purchase. A gentle reminder or a small discount can help.
These messages need to arrive on time and land in the inbox. That’s why you’ll need a reliable transactional email provider like SendLayer.
The big win is that transactional data shows the value each customer brings. It also shows how each one uses your products or services.
How to Segment Customers With Transactional Data
To segment customers with transactional data, first gather your email events, purchase history, website activity, and support history. Then group customers with a method like RFM analysis or engagement-, behavior-, or product-based segmentation. Finally, have your app trigger a different email for each segment, track clicks and conversions, and refine the segments over time.
To get the most from transactional segmentation, you need a clear plan. Here are the 3 steps.
1. Gather Your Data
First, you need the right data. Here’s what your transactional emails and related systems can tell you:
- Email Events: Track opens, clicks, bounces, and unsubscribes for each email type. That includes order confirmations, shipping updates, and password resets.
- Purchase History: Log what customers buy, when they buy it, and how much they spend.
- Website Activity: If possible, tie in website behavior. Do certain customers consistently browse specific categories? Do they abandon carts frequently?
- Support Interactions: Have they contacted customer support? What were their issues?
2. Choose Your Segmentation Method
Next, turn that raw data into groups. Here are 4 common approaches.
RFM Analysis
RFM (Recency, Frequency, Monetary) analysis is a classic way to segment customers. It suits transactional data, since every order updates all 3 scores. It groups customers by 3 factors:
- Recency: How recently did the customer make a purchase?
- Frequency: How often do they buy from you?
- Monetary Value: How much do they spend in total?
A common approach is to score each factor from 1 to 5. Then you read the 3 scores together. Say a customer bought last week, orders monthly, and spends a lot. They might score 5, 5, 5.
How to use RFM in transactional emails:
- Identify your best customers: Those with high RFM scores (recent purchases, frequent orders, high spending) deserve VIP treatment. Send them exclusive offers, early access to new products, or personalized thank-you notes.
- Re-engage lapsed customers: Customers with low recency scores haven’t purchased in a while. Win them back with targeted discounts or picks based on past orders. You could also remind them about items left in their cart.
- Reward loyal customers: Customers with high frequency scores are your loyal fans. Recognize their loyalty with special offers, loyalty programs, or early access to sales.
Example:
Imagine you’re a clothing retailer. You could segment customers based on their RFM scores and send them targeted emails like:
- High RFM: “As a valued customer, you get early access to our new summer collection!”
- Low Recency: “We miss you! Here’s a 20% discount to welcome you back.”
- High Frequency: “Thank you for being a loyal customer! Enjoy free shipping on your next order.”
Note: A win-back discount like the one above is a marketing email, not a transactional one. The FTC’s CAN-SPAM guide says a message’s primary purpose decides which it is.
If the offer leads the subject line or the top of the email, it’s commercial. Then it needs an unsubscribe link and must follow the other CAN-SPAM rules.
So keep receipts and shipping updates about the order. Put any offer below the order details.
Engagement-Based Segmentation
Engagement-based segmentation looks at how customers interact with your transactional emails. Key metrics to track include:
- Open rates: How many people open your emails?
- Click-through rates: How many people click on links within your emails?
- Email replies: Do customers reply to your emails?
Note: Open rates aren’t as reliable as they used to be. Apple says Mail Privacy Protection “prevents senders from seeing if you’ve opened” a message.
In practice, Apple loads tracking pixels in the background. So many Apple Mail users show up as opens without reading. Clicks are a safer signal to segment on.
Your SendLayer email log shows when each recipient opened or clicked an email. Those events only appear if you’ve turned on open and click tracking. The log doesn’t record replies or forwards. Check your inbox or help desk for those.
How to use engagement data in transactional emails:
- Adjust content based on engagement: For segments that click often, add personalized recommendations below the order details. For segments that rarely open or click, test clearer subject lines and preheader text.
- Re-engage inactive subscribers: Some customers haven’t opened or clicked your emails in a while. Send them a targeted re-engagement email. Offer incentives or highlight useful content to win them back.
- Identify your most engaged subscribers: Some customers open and click your emails consistently. Reward them with exclusive content, early access to sales, or special offers.
Example:
Say a segment opens your shipping confirmations but rarely clicks “track your order.” Try redesigning that section so the link stands out.
Behavior-Based Segmentation
Behavior-based segmentation groups customers by specific actions they take. Those actions happen in your transactional emails or on your website.
- Password resets: Do certain customers frequently reset their passwords?
- Account updates: How often do customers update their account information?
- Support requests: Do they contact customer support often?
- Abandoned carts: Do they add items to their cart but not complete the purchase?
How to use behavioral data in transactional emails:
- Provide proactive support: Some customers reset their password often. Send them tips on using a password manager. You could also offer to turn on two-factor authentication.
- Offer personalized onboarding: For new customers, trigger a series of welcome emails. They can guide customers through your website or app and highlight key features.
- Recover abandoned carts: Send automated emails to customers who abandon their carts. Remind them of the items they left behind. Offer an incentive to complete the purchase.
Example:
Say a segment keeps abandoning carts at the payment stage. Send them an email that explains your site’s security and lists other payment options.
Product-Based Segmentation
Product-based segmentation groups customers by what they buy. It looks at product categories, purchase frequency, and average order value.
- Product categories: What types of products do they buy most often?
- Purchase frequency: How often do they buy specific products?
- Average order value: How much do they typically spend on each product category?
How to use product data in transactional emails:
- Offer personalized discounts: Target customers with discounts on products they frequently purchase or categories they browse often.
- Create product-specific email series: Build email sequences with tips for specific products.
Example:
Say a customer often buys coffee beans from your store. After each purchase, their receipt could include brewing tips or news about new blends.
3. Implement and Analyze
With transactional segmentation, your store, CRM, or app holds the segment logic. SendLayer delivers the email.
So your app decides which email each customer gets, then sends it through SendLayer. Email marketing platforms work differently. Most have built-in tools to segment and automate emails.
- Use your platform’s segmentation tools: Build segments in your store, CRM, or email marketing tool. SendLayer doesn’t create segments itself.
- Set up automated email flows: Have your app trigger specific emails based on customer behavior or segment membership.
- Monitor your results: Track clicks, conversions, and unsubscribes for each segment to see what’s working. Then adjust your segments over time.
Your transactional emails already reach customers who are paying attention. Segmenting them turns standard notifications into messages that fit each customer.
That’s it! Now you know what transactional segmentation is and how to use it.
Next, want to get better results from every transactional email? Check out our guide to transactional email design for tips and examples that improve engagement.
