Hybrid segmentation combines multiple types of customer segmentation models to form a unique segmentation strategy.

It delivers a unifying consumer segment framework, operational across multiple business functions for maximum business impact:

Here’s an example of how different methodologies can be built up to fully understand the needs of a single customer, and how that can help us to better tailor or services/promotions. In this example we will look at how a fast-food restaurant might attract a single consumer, Emily.

Demographic data – Assuming you have a database you might know that Emily is 24, lives in London. With her address you could send Emily coupons to entice her into your restaurant, but with such limited information you would need to send a range of different coupons for different meals. Most likely you would send out the same offers to a broad range of people.

Transactional data – Emily buys a cheeseburger and fries every time she visits, about once a month. As a business you might pick up this data through the use of personalised coupons, a reward or loyalty card or an app. (Like we’ve seen McDonalds launch recently) With this transactional data we can then send more personalised communications to Emily, offering her more expensive menu items, or if she has been absent for some time, remind her of her favourite meal. Without understanding why Emily is eating at our restaurant there is still a large element of trial and error in our approach.

Motivational data – We still don’t understand why Emily orders the same meal from our restaurant each visit, what other restaurants does she eat at? Does she have similar behaviour with other fast-food competitors? When does she decide to eat out? By broadening our understanding of her activity with other brands it becomes much easier to understand what brought her into the restaurant and how we can better serve her. It might be that Emily visits our restaurant once a month when she dines with her father. Perhaps they see our restaurant as a ‘safe option’ for eating out together, and so our restaurant might have a sense of nostalgia and tradition associated with it. In this case, we could send Emily offers around family-sized meals, which could increase her lifetime value as a customer and also open her up to new items on our menu. Through data enrichment, a combination of different lenses and of course empathetic thinking, we can better understand customers and get higher ROI from personalisation.

This simple example shows you have understanding your customers allows for better personalisation, but doing this at scale has always been a challenge for brands.

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There are many strengths to the hybrid segmentation approach:

  • Enables a single company-wide strategic focus.
  • Provides a joined-up segmentation that multiple business functions can adopt.
  • Product propositions can be targeted effectively to current customer base.
  • Activity from eCRM is able to generate content that drives engagement.
  • Financial potential of segment activity can be measured more accurately.
  • Impact of marketing against segments can be measured as segments are tagged on base.
  • In addition to targeting prospects in the right way, Hybrid segmentation enables you target different customers with the right messages as
    Hybrid segments are tagged to your database using the data you hold.