Correspondent Blog
Tag: Data
10 Big Bank Marketing Lessons from the ABA Bank Marketing Conference
Last week, the American Banking Association (ABA) held its annual Bank Marketing Conference in Denver, receiving rave reviews. The theme was – developing your marketing superpowers. Amid the brewery networking, superhero costumes, and fun, some fantastic bank marketing lessons were had, and not just for bank marketers. The theme was how marketing needs to be…
Using Data For Bank Event Lead Generation
In an earlier article, we discussed how we use “cost per impression” as a metric for planning, budgeting, and executing bank events that are specific for customer retention and branding. In this post, we expand that analysis and apply it to those events that a bank hosts or participates in designed to generate leads (“lead…
5 Lessons Using Bank Customer Lifetime Value Data
Banks don’t respect the power of understanding customer lifetime value (CLV). It is the one performance metric with the highest correlation to long-term bank profitability, around 88%. It is more important than margin, cost of funds, non-interest income, and loan profitability COMBINED. Not only do few banks calculate it, but many banks also spend resources…
Stop Talking About Demographics In Banking
How many “How to Market to Millennials” sessions or “How to Attract Gen-Z” have you sat through? Chances are you were wasting your time focusing on demographic segmentation. Every generation is indeed influenced by different environmental forces such as – war, protests, smartphones, social media, or crypto — but there is little evidence that shows…
Our Favorite 15 Quotes on Quantitative Banking
We are big fans of data, but recognize that analysis, and presentation of analysis, can lead you astray. Here are 15 (approximately) of our favorite quotes and maxims that we try to keep in mind every day in order to be more effective at banking. Hopefully, this will remind you of old quotes while introducing…
What We Learned from AI Trained on Treasury Management
It was back in 2014 when researchers at DeepMind directed their nascent artificial intelligence application to the game Breakout. Instead of programming DeepMind on how to play the game, the researchers programmed DeepMind to learn about learning to play the game. That is a meta-level that isn’t normally programmed, but the result of that effort,…