We use data science to segment customers and understand where they are in the customer lifecycle.

With advanced segmentation, our data scientists help you to recognise your most valuable, most engaged, loyal and highest spending customers and where to focus your marketing efforts.

Lynchpin identifies naturally occurring clusters of similar users according to their behaviours and characteristics using granular behaviour, usage and demographic data. We then develop models based around these segments which can give you a clearer picture of where your revenue is coming from, where shortfalls may lie, and use those insights to inform communications strategies.

Ultimately, we use data science to drive customer analytics so we can help you to understand and improve performance across your complete customer lifecycle.

Focus your marketing efforts on your most valuable customers

We develop predictive models based around value segments that give you a clear picture of where your long-term revenue is coming from and where shortfalls exist. We identify naturally occurring clusters of similar customers using granular transactional, behavioural, usage and demographic data to optimise your communications strategies.

Time for an upgrade? Up sell, cross sell and next sell

Using real-time and historic data, we can predict those customers most likely to be susceptible to upgrading and the best time to make them that offer. We segment those customers who would be interested in a deal by a similar brand or one that fits with their lifestyle. Next-sell is similar; a segment who bought a particular item might be very likely to want the next item in that life cycle.

Stop them leaving you

Customer churn or attrition can lose your organisation revenue for two straight-forward reasons: firstly, the loss incurred when that customer ceases to trade with you; and secondly, the marketing spend required to replace them.

Predictive analysis helps you to identify whether a customer is likely to leave, thus saving time, money and resources. Retaining an existing customer is less expensive than the spend required to attract a new one.

It is also better to develop accurately targeted retention offers or discounts for the identified segment. It is simply a waste to give a discount to a larger portion of your database than necessary or those customers who are a low flight risk.

If they have already left and are inactive is it worth winning them back? Or are you better off cutting your losses with that customer. If it is worthwhile pursuing them, you can determine what that customer is likely to need in order to return, their value to your business and make a sound judgement.

Win them back: reignite the romance

Have they really left you or are they busy elsewhere? Is your customer “on a break” or have they gone for good? Have they been a loyal, frequent or high value customer in the past? Valuable customers are worth winning back and even if they’ve chosen another brand for a little while, perhaps they might give you another chance. It’s less expensive to lure an existing customer back to buy than to acquire a new one.