How does a customer choose to put their money into a CD instead of Money Market?

The traditional answer is usually price versus liquidity. CDs normally pay more. Money Market offers on-demand access to cash. Customers decide which benefit they value more. There is certainly truth in that, but we see Customer decision mechanics a little differently.

Customers are not comparing products. They are comparing option sets.

When a customer with funds in Money Market considers a CD, the decision is not really about moving money into a certificate. The decision is about whether the additional benefits offered by the CD are sufficient to justify giving up some of the benefits associated with Money Market. The customer is comparing value received against value surrendered.

From that perspective, the difference between a CD and Money Market is not a product boundary. It is a decision boundary. That distinction matters because decision boundaries can be measured, managed, and ultimately optimized.

Consider two customers evaluating the same institution’s offerings. A customer with funds in Money Market may see a six-month CD offering a modest yield premium in exchange for giving up an accessibility option they value highly. Another customer may not value accessibility feature of a Money Market account at all. With exactly the same offer rates, the net benefit created by moving into the CD is very different for those two customers.

We should not be surprised if their behavior is different as well. The first customer may conclude that the additional return is not worth the loss of flexibility. The second customer may arrive at the opposite conclusion. We do not need to understand their motivations to make that observation. The value of the decision space options available to each customer is different.

That is where the management opportunity begins.

Traditional pricing tends to focus on changing the rate sheet and observing the result. If we want more CD growth, we raise CD rates. If we want lower funding costs, we lower CD rates. Every customer sees the same change whether they were likely to act or not.

Decision-space management suggests a more targeted alternative.

Instead of asking how we can change the rate sheet, we ask which customers are actually near the CD-Money Market boundary. Which customers are evaluating alternatives close enough that a relatively small change in the value equation might influence the outcome?

Once we identify those customers, we gain degrees of freedom for management.

We may decide to increase the attractiveness of the CD option. We may decide to reduce the attractiveness of an alternative option. We may introduce a feature, benefit or privilege that changes the value equation without changing the entire rate structure. The objective is not to control the customer’s decision. The objective is to selectively alter the decision space facing customers whose choices are still undecided.

This is important because broad pricing actions are expensive. Adding ten basis points to an entire Money Market portfolio affects every balance instantaneously. The same premium on a CD Rate Sheet applies to every CD renewed or sold while the rates are in effect.

Influencing a much smaller population of Customers who are near a decision boundary can produce a similar behavioral outcome at a fraction of the cost. The difference is precision. We stop treating all customers as though they face the same decision and begin recognizing that decision spaces vary substantially from one customer to another.

The implications extend beyond pricing.

Treasury gains a more useful framework for understanding how funds move between product categories. ALM gains visibility into behavioral transitions rather than simply balance positions. Product managers gain additional tools for influencing outcomes without relying exclusively on rate changes. Most importantly, customer behavior becomes easier to understand because decisions are viewed within the context in which they were made.

What makes this idea particularly appealing is how practical it is.

Most Financial Institutions already possess the information required to begin. They know the customer’s current position. They know the available alternatives. They know the offered rates. They know what decisions the customer has made in the past.

The first step is simply measuring the decision space. How much additional value is created by crossing the CD-Money Market boundary? How does customer behavior change as that value increases or decreases? Where are the decision thresholds?

Those questions can often be explored with existing data and existing reporting.

In many ways, the CD-Money Market boundary is exactly what Optimizing Customer Decision Spaces is about. Rather than managing products and hoping customers respond, we begin by understanding the decision environment customers are facing. We identify where meaningful choices exist. We measure the value of competing alternatives. We selectively adjust those alternatives to influence outcomes.

The customer still decides, but we are no longer standing outside the process wondering what happened. We are actively managing the decision space in which the decision is made.