Hosted by top 5 banking and fintech influencer, Jim Marous, Banking Transformed highlights the challenges facing the banking industry. Featuring some of the top minds in business, this podcast explores how financial institutions can prepare for the future of banking.
If you earned your marketing degree more than five years ago, you are already playing catch-up. Most banks are mailing in their response to AI.
I break down the four AI moves the best banking marketers are running now: targeting that finds micro-cohorts of one, personalization built around the customer instead of the account, predictive analytics that tie marketing to revenue, and whether AI search tools even mention your bank. Each move draws on Banking Transformed interviews with Raja Rajamannar of Mastercard, Andrea Brimmer of Ally, and Olly Downs of Curinos.
Using AI is no longer the goal, because every bank will get that far. The marketers who win refuse to mail it in and build something a competitor cannot copy. AI marketing has no finish line.
Hosted by Jim Marous, Co-Publisher of The Financial Brand, Owner and Publisher of the Digital Banking Report, and host of the Banking Transformed podcast.
If you got your master's degree in marketing more than five years ago, you're already playing catch up. Not because you stopped learning, because the game changed underneath you.
Here's the part that should keep you up at night. The same tools that put you behind can let you market like a top ten bank, right now. For the first time in my career, the size of your bank is no longer the size of your marketing. But that window does not stay open. The banks that move first set the new normal, and everyone else spent a decade catching up to it.
So the real question is not whether AI changes your job — it's whether you start now, while starting still counts as early.
Let me tell you why I take this personally. As many of you know, I spent more than 30 years inside the marketing agencies of organizations that worked exclusively with banks and credit unions. We built direct marketing strategies around demographics, segmentation, and transactions. At the start of the mobile era, we never defined a customer by how they use their phone, how they communicated, or how they use social media. We couldn't even connect the channels they used to the messages they received. That was the first paradigm shift. I lived through it. This one is much bigger.
Today, only 25% of banks describe their marketing as predictive or prescriptive. The other 75% are still running campaigns the way I did back in the 80s and 90s. When I sat down with Raja Rajamannar, the Chief Marketing Officer of Mastercard, he put it plainly: the way we have been doing marketing is not working today. Raja predicted this in 2021. The marketers who heard him are now five years ahead. The marketers who didn't are about to find out why.
There are four AI moves the best bank marketers are running right now, ranked from easiest to hardest. I'm going to assume you're already doing the foundational work — using AI for content creation, retiring the legacy digital tools that have not moved the needle in years. That's good. That's the price of entry though, not the win. These four moves are what will take you from keeping up to being future ready.
Let's start where the return is fastest. Let's start with who you're targeting.
Move One: Targeting that sees the person, not the profile.
Most banks still segment by age, income, and zip code. That's not segmentation. That's basically the census. The best marketers use AI to find micro cohorts of one customer and group them by what they did in the last 48 hours. The one whose direct deposit just doubled. The one who logged in every day for a year, then went quiet for three weeks. Demographics never see that. AI does.
Let's think about the last campaign you sent. You may have measured open rate, reported up the chain, and moved on. But you never asked the question that mattered: which of those customers were already halfway out the door and got the same generic email as everyone else?
I made a whole insight video about this. I called it Silent Attrition. The customer who never closes the account. They opened a Chime account, then eventually moved direct deposit and quietly stopped using you. You never see the closure. Just a slow leak you find out about too late.
So Move One is how you catch that leak in time. Only 25% of banks can catch that signal, which means 75% of marketers are sending one message to people who are nothing alike and calling it a campaign.
Mastercard saw this and bought a company called Dynamic Yield — an engine that it now licenses back to banks. It segments customers in real time on what they did 30 seconds ago and routes the right message before the moment passes. That is a complete workflow change, and that is the lowest hanging fruit on the list. Your data already exists. AI just reads it differently.
Move Two: Personalization that actually means something.
Move two is making sure the message you send is not the same message you sent to everyone else. The basic version is undergraduate — a first name in a subject line, maybe a mail merge. That's not personalization. You know that.
Here's the graduate level. When I talked to Olly Downs from Curinos on the podcast, he said nine times out of ten, banks personalize around the account, not the customer. But the customer is the one with the need. The account is simply the way the need gets met. AI finally lets you flip that. You market to the person, and the product follows.
And stop waiting for perfect. The block was never the AI tool. It's the instinct to wait for the perfect data, the perfect compliance review, maybe the perfect creative.
Andrea Brimmer at Ally said something at the Forum every bank marketer needs to write down: customers do not wake up in the morning wanting to go to their banking app. They're on Instagram ordering coffee, watching Netflix. Your app is fighting Starbucks for their attention, not the bank across the street.
Move Three: Predictive analytics for the next best action.
Move three tells you what they need tomorrow. This is the move from what happened to what's about to happen. AI tells you which customers are likely to leave in the next 90 days, which ones will need a HELOC in the next quarter, and which ones will respond to a refinance offer this month. This is the move that connects marketing to revenues — which is actually the only argument that gets you a real budget.
Let me tell you what that looks like when it works. When I had Andrea Brimmer on Banking Transformed, she was six months into Ally's Gen AI marketing experiment. Her team took marketing creative work that used to take three weeks and compressed it by 34%, reclaiming 3,000 hours of human work.
And Andrea is honest about the rough edges. Here's how she put it: if you see a person on a storyboard with 11 fingers, don't freak out. That was done by Gen AI. That is what discipline looks like. They used AI, they edited the 11 fingers, and they still shipped. They didn't wait for the tool to be perfect. They didn't form a committee. They started.
Three moves in, and you're now doing things that most banks can't do.
Move Four: AI visibility — does your institution even show up?
Move four is a question almost no marketer is asking. Do AI tools even mention your financial institution in today's search world?
Your customers are not searching Google anymore. They're asking ChatGPT, Perplexity, Gemini, Copilot — maybe they're asking Siri. And the answers these tools give back almost never include your financial institution. Two thirds of AI-generated answers about financial products come back as third-party publishers, not banks. NerdWallet and Bankrate alone represent 15% of every source the AI model cites.
Raja said it clearly: banks must be the preferred brand not only for customers, but also for their AI agents.
So try this: open ChatGPT and ask for the best checking account in your market. If your financial institution's name doesn't come back, you've got a problem. The marketer that builds this competency in 2026 owns the channel for the next five years. This one is big enough that it will get its own Insight Video from me — how a bank actually earns its way into the AI answers is what I'm covering next. Watch for it.
So that's four moves. Any marketer can run them.
Which brings us back to where we started. Your competitors are not going to wait until you're ready. They're not going to wait until your data is clean. They're not going to wait until committee approves the use of the tool. They're going to use what works today.
And here's the last thing I want you to hear. There's no finish line here. AI marketing is not a project you complete and check off a list. The tools are changing every quarter, sometimes every week. The bank that wins is not the one that arrives. It's the one that keeps moving after everyone else stops to celebrate the most previous win.
Using AI is no longer the goal. Every bank will get that far. The marketers who win are the ones who refuse to mail it in — who take the same tools that everyone else has and keep building something a competitor can't copy.
The only question is whether you'll be deploying and learning every day. Resistance is not a strategy. Curiosity is.
If this video makes sense, pass it on to somebody else in your organization and be sure to put a comment below. I try to get back to everyone that makes a comment. I'll see you next time.