Smart Segmentation

Discover the hidden potential in your customer database

The challenge

One of the biggest challenges for businesses is effectively segmenting customers based on their purchasing behavior. These insights are essential for identifying the right message and timing to successfully motivate your customer to act

By segmenting customers based on purchasing behavior — such as visit frequency, most recent interaction, and average order value — you gain insights into different customer types and the value of each customer group. This allows for targeted decisions about which segments — from loyal customers to those at risk of churning — deserve the most attention, and which message and timing have the highest chance of triggering the desired action.

We’ll show you how smart segmentation of your customers directly contributes to more effective marketing campaigns and sustainable customer growth.

Samen programeren

Approach

Our RFM (Recency, Frequency, Monetary) analysis gives you quick and clear insight into the behavior and value of your customers. Based on recency, frequency and monetary value, we divide your customer database into six fixed segments. This structure is universally applicable, but the sizes and composition are unique to each company.

Using machine learning, we validate the segmentation on your data. This ensures that the segmentation is both adequate and relevant.

Visualisatie RFM

Smart Segmenting

Based on proven data models and the context, such as the type of industry, we divide the customer database into relevant customer groups. By having an immediate, visual understanding of these customer segments (as depicted here), you can more effectively design targeted, personalized marketing campaigns aligned with each customer's current lifecycle stage.

These segments are great for automatic tracking and targeting in your marketing automation software.

Scherm_afbeelding 2025-04-28 om 09.12.06

Outcome

Thanks to this in-depth segmentation, you follow a series of concrete actions that directly contribute to higher customer engagement and revenue. For example:

  • Reactivate near-sleepers.
    Customers who have been inactive for 4 months will automatically receive an email with a personalized discount code.
  • Get insight into your customer distribution
    30% of your customers are inactive (Hibernating) and only 10% are among the Champions - time for action.
  • Send content at the right time
    If customers return on average every 6 weeks, send a relevant reminder or recommendation just before this point.
  • Reinforce customer loyalty
    Champions get early access to new collections or discounts on their favorite products.
Cross-system automation

All the advantages laid out

Targeted segmentation & personalization - Approach at the right time with relevant content and offers.

Retention & reactivation - Recognize who is in danger of dropping out and win them back with data-driven actions

More efficient marketing budget - Invest in customer groups with the highest value and impact.

Insight that drives - See at a glance how your customer base is built and where growth opportunities exist.

Curious where the opportunities lie within your customer database?

Feel free to contact Daan Luttik or Christine van der Elst and find out with a personal customer analysis.

Daan Luttik

Daan Luttik

CTO

daanluttik@techonomy.nl

+31 (0)6 83 90 60 39

Christine van der Elst

Christine van der Elst

Data Scientist

christinevanderelst@techonomy.nl