The clues to your customer’s next move exists in the data. From the prospects likely to purchase, or the customers at risk of lapsing, RedEye is using artificial intelligence and predictive analytics to successfully identify key ‘next likely actions’.
By doing this we put the power back in the marketer’s hands by giving you the opportunity to influence those outcomes.
RedEye has built a predictive model that works on top of Travis Perkins’ database. This model analyses all customer behaviour, from past transactions to website engagement even within the last hour, to understand patterns of behaviour.
The Churn Model, used in this case, identified Travis Perkins customers whose behaviours indicated that they were likely to churn. This gave Travis Perkins the opportunity to use multi-channel communications to re-engage those customers before they were gone for good.
Machine learning comes into play to ensure those algorithms are constantly honed and tweaked to provide ever more accurate insight and models specifically in step with your brand.
For Travis Perkins, and for your brand, reducing customer churn means increased engagement and increased spend. With an overall reduction in the Travis Perkins lapsed segment of 3.9%, imagine the increase in spend that could be achieved for your brand.
In our fully integrated platform, artificial intelligence then allowed for the delivery of highly personalised messages to be sent to every individual on the Travis Perkins database, according to that prospect or customer’s individual behaviour.
Every customer receives a message specific to their stage in the customer lifecycle.
The nature of the customer lifecycle means that reducing the rate of customer churn is just one of the ways that an organisation can improve lifetime value. For Travis Perkins the use of the churn model drove an increase in customer lifetime value of 34% in a single 12-month period.
Reducing customer churn is one of the most profitable activities a marketer can employ. It is far more expensive to acquire a new customer than to retain an existing one. Any reduction of the lapsed segment is a direct increase on the active segment, allowing marketers to turn more customers into profit.
At RedEye, we have been working on implementing predictive models on the Travis Perkins database for over a year now.
Together with RedEye, Travis Perkins have progressed from trying to understand what marketing messages will work best to re-engage lapsing customers, to automatically targeting predictive segments with their latest products and offers.
Reducing the churn rate of the Travis Perkins database is just one element of increasing customer lifetime value – and it is clearly an effective method at that!
By reducing churn over the last eight months, the overall value of the Travis Perkins database has grown by over 86%, leading to an increase of nearly 90% in the segment of active contacts.
Imagine the potential for your marketing with an increase of 90% in active contacts?