Anticipate and shape your customers’ next move

Customer Analytics

Today everything feels as though it is in flux. The whole world is changing and shifting at a faster rate than ever before. As for tomorrow, only Nostradamus knows for sure, but by combining and layering your analytical data on customers you can better model their future behaviour. Predictive analytics which uses the latest machine learning tools to predict likely outcomes from combined datasets - whether at an individual level (eg how likely someone is to buy) or a macro level (eg the outcome on sales of investment across channels). Predictive models let you identify triggers of likely behaviour, and nudges to encourage desired outcomes. Want to find out who’s most likely to switch away from you, or to turn service subscribers into engaged users? Customer analytics provide the answer.


Churn Risk

Acquiring a new customer is anywhere from 5 to 25 times more expensive than retaining an existing one. So keeping hold of the right customers is critical. Our Churn Risk models identify customers most at risk of leaving, allowing pre-emptive, targeted intervention. We use the latest machine learning algorithms and Natural Language Processing to pinpoint at risk customers. Our models are strengthened by blending a variety of historical data, including customer behaviours, customer touchpoints, customer logs, Net Promoter Score® surveys and more. We can produce a snapshot of churn risk by customer, or embed advanced models in your systems so you can score your customers over time.

Find out more - read our article

Predicted Lifetime Value

Sometimes it’s difficult in life thinking about the ones who got away. Especially if those customers would have become much bigger spenders a few years down the line. Keep hold of those customers who will grow alongside you by focusing more effort on retention and upselling. We apply Linear Regression or Bayesian Probabilistic Models to anticipate the lifetime value of customers and then can apply this to your database.

Propensity to Convert

Find out which customers need that extra nudge to close the deal, and which should be left alone. A powerful tool for improving customer acquisition, activation, and adoption of desired products & services. Not only can it tell you where to spend money (on advertising or in the form of sales action) it can show you where not to spend money. (Giving customers discounts who are already likely to convert)

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Recommendation & Personalisation

Recommendation engines are ubiquitous across the eCommerce landscape, but a small number of transactions is often not enough to understand what an individual may do next.

Our learning algorithms help you stay one step ahead of the consumer at all times, and increase your cross-selling conversion.

We achieve this by combining the transactional data with as much non-transactional data as possible, such as website engagement.

Contact us today

Get in touch today for a no-obligation meeting with a member of our team. All information is treated as confidential and we are happy to offer our opinion or point you in the right direction.