Retain: Reduce Customer Churn

Securing a new customer is 5x more expensive, than keeping the ones you already have., We predict who is thinking of leaving and when, so you can take action and keep your best customers.
INTRODUCING STAKANA RETAIN

Don’t let your customers churn. Proactively target them individually.

Imagine what you could do if you could identify which of your customers are at high risk of closing an account before they do anything decisive like turn off direct deposit. Your customer might not even yet be thinking about closing that account. But you can see that customer is on a journey that typically ends with closing an account. By catching this customer so early in the journey, retaining him/her could be as simple as making one phone call or sending a letter.

Does this seems unrealistic? It’s not. Many retailers have successfully implemented this approach for years with advanced analytics, and most big banks are heavily investing in this. Now you can do this, without the heavy investment.

Targeted

We find and target your most valuable customers and members, updated often so that you can retain them as efficiently as possible.

Customized

Customers in Bakersfield, Biloxi, Boise, and Buffalo are all different. Our solutions are customized to the behavior of your unique customers.

Adaptable

Using machine learning and artificial intelligence, our statistical models learn and adapt as your consumer behavior changes.

Supported

We listen to you as we develop our solutions and help you effectively actionize our results after you get them.

Actionable

Our analyses aren’t research papers. Our results provide information you can take specific action on.

Affordable

We love community banks and credit unions, and are priced to be affordable for financial institutions of all sizes.

REDUCE CUSTOMER CHURN

Built on our intelligence tools, Retain is our advanced and self-learning predictive system to determine which of your customers are thinking about making a move, giving you the ability to directly reach out to them before they leave.

STEP 1 - DATA REVIEW

We will review your data for any irregularities (it happens). If we can’t fix these ourselves, we’ll work with you to ensure we have the cleanest data possible to work with.

STEP 2 - DEEP CLEAN

Next, we will begin running basic statistical models to make sure the data is behaving the way it should. At the same time, we’ll begin testing the data for models and adaptations that make sense for your unique situation.

STEP 3 - MODELING

Now that we’ve cleaned and tested a few models against the data, we’ll begin a “deep dive” into analyzing your data and start creating accurate predictive models.

STEP 4 - RESULTS

We have now identified a winning set of predictive models that produce results that are accurate, meaningful, and actionable. We’ll work with you to best develop a plan of action to best implement those results in your business operations.

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