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Many Credit Unions measure the success of a marketing campaign solely with “home run” metrics. For example, a car loan promotion is measured in number car loans booked, and a credit-card campaign in the number of cards delivered. While there is no question that won/loss metrics are important, there is a middle ground that can give you richer customer information as you work to build member relationships rather than just achieve sales. At CU 2.0, we train our clients to use this technique, call...

With 2 Gen Zs in my house, I'm really taking the opportunity to study who this generation is first-hand. My oldest recently got his first checking account. He doesn't need to write checks but he needs a debit card. In fact, he'll probably never write a check in his life.

In our last blog, we explored results from The National Survey on Credit Union Data Analytics and Decisioning Trends and touched on their implications.

Large banks, Regionals, and fintechs continue to invest heavily in data management, analytics and decisioning.

“We are not moving fast enough. We need to move 2x or 4x faster,” says John Janclaes, CEO of the $1 billion Partners Federal Credit Union headquartered in Burbank, CA. “Some might say faster is in order".

“We are not moving fast enough. We need to move 2x or 4x faster,” says John Janclaes, CEO of the $1 billion Partners Federal Credit Union headquartered in Burbank, CA. “Some might say faster is in order".

At a conference a couple weeks ago someone asked me what the number one most important upcoming technology there was for banking. Without hesitation, I answered, “artificial intelligence”.

When I first started credit unions, branches were the thing. Home banking hardly even existed at that time and involved things like sending disks to members so that they could dial in to your organization like it was AOL.

Many credit unions are successfully building the fundamental skills and infrastructure they need to utilize data more effectively. They’re aggressively investing in analytic tools, staff skills, and warehouses, but less so in the newer tools of decisioning, fraud, and predictive machine learning and AI technologies.

There’s a lot of good news surrounding the growth of voice-first devices. As reported by VoiceLabs, nearly 25 million of the devices shipped in 2017, bringing the total in use to 33 million. Amazon’s Echo, Tap, and Dot, as well as Google Home, dominate the field, but Apple, Samsung, and Microsoft are also important players.