Trigger-based Marketing Can Turn Customers into Growth Engines, If Your Data Cooperates
By Caroline Hroncich, Contributor at The Financial Brand
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Banks and credit unions are moving acquisition dollars toward the customers already on their books, and using real-time behavioral signals to decide who gets which offer.
Reality check: Acquiring a new checking account costs well over $200, and 43% of institutions offered a cash incentive in 2025, averaging $277, according to ProSight Financial Association. Selling to someone already on the books costs less, and banks still spend most of their effort chasing new ones. A trigger campaign works the other way. A large deposit clears, a member shops a rate, spending jumps at a home improvement store, and a pre-approved offer goes to the customer most likely to take it.
Most institutions can’t get to their own data fast enough to act on it. “They’ve got the data, but it’s hard to leverage,” says Brian Bodell, CEO of Movemint, which sells campaign orchestration software to credit unions and banks. Marketing has to reach that data before a single offer goes out, and the institution has to answer whether to build or buy.
Key insight: The failure happens at the data pull, not the campaign. Fix that before evaluating a platform.
Need to Know:
- Credit card penetration at credit unions was 17.7% in the first quarter of 2026, per Callahan & Associates, while other real estate lending, driven mostly by home equity lines, grew 14.4%.
- Trigger marketing at most institutions still runs in batches, on 30, 60 and 90-day campaign cycles.
- Institutions get stuck building the list, not delivering the offer. Segments often haven’t been updated since the customer opened the account.
- Community banks and credit unions averaged 241 out of 500 on Cornerstone Advisors’ data execution quality index.
- Buying a platform takes 12 to 18 months and existing vendor contracts often already carry the data.
The List Is the Problem, Not the Campaign
Most trigger programs at banks and credit unions still run on a campaign calendar. The signal shows up and the offer goes out a month later.
“Trigger-based marketing right now is more in batch mode,” says Bodell. “Most of it runs in campaigns that are in 30, 60, 90-day increments.”
A trigger campaign takes two steps, says Bodell. The institution builds the list from core and credit bureau data, then delivers the offer through digital banking, the branch, the contact center or outbound. Delivery is the part institutions handle. Building the list is where they get stuck.
Most banks categorize a customer at account opening and never revisit it, says Michel Jacobs, chief strategy officer at CSI. “I could have been divorced 10 times, I could have had promotions, I could have a school bus full of kids, and they would not know,” he says.
CSI began enrolling banks this quarter in a pilot of its Customer Intelligence Suite, which reads core, digital banking, payments and origination data and flags changes in a customer’s financial life.
“The biggest problem in traditional banks is that they don’t really understand the context of an interaction,” says Jacobs.
What’s changed: The hard part isn’t the campaign anymore. It’s pulling the data and keeping it current.
- Find where each trigger lives: the core, the card processor, the digital banking platform, the loan origination system.
- Set a refresh schedule the institution can actually keep. Nightly or weekly beats real time nobody can support.
- Check how old the customer profiles are and how often they update.
- Get the list built before shopping for anything that delivers it.
The Data You Need May Already Be in Your Contracts
Institutions are often already paying for the data they think they need to go buy. Amanda Swanson, senior director in the Delivery Channels practice at Scottsdale, Arizona-based Cornerstone Advisors, says she routinely finds trigger-grade data sitting unused in the core, the loan origination system and digital banking vendors.
Buying a platform and getting it live takes 12 to 18 months, says Swanson. She tells marketers to see what they can do internally first, starting with whoever owns business intelligence, the data warehouse and the data lake. “Marketing should be one of the top users,” she says.
Key insight: Whoever owns it, the data is usually in worse shape than the institution thinks. Community banks and credit unions scored an average 241 out of 500 on data execution quality in a Cornerstone Advisors study of 124 institutions, commissioned by data analytics vendor KlariVis.
Swanson tells marketers to tie the first campaign to something the institution has already committed to, membership growth or a home equity push, then add business lines from there.
“Don’t overcomplicate it,” says Swanson. “Start off with an easy use case.”
Key insight: The first trigger campaign needs one segment, one product and one owner.
- Pull the core, LOS and digital banking contracts and list what data each one already includes.
- Pick one product tied to a goal the institution has already set, and build a single trigger for it.
- Run that campaign before starting a vendor evaluation, then shop against what broke.
- Ask any vendor whether it builds the list or delivers the offer, and who does the other part.
Community Banks Have the Advantage If They Can Use It
Community banks already price loans in their own markets better than an analyst four states away, says Jacobs, because they know the appraisers and the developers. The customer file works the same way. The institution can see what its customers actually do, and nobody outside can.
That advantage has a shelf life. Ron Shevlin, chief research officer at Cornerstone Advisors, wrote in August that personal AI agents will open accounts and move balances without much trouble, and that they’ll be negotiating against institutions running agents of their own. He points to $3 trillion that has already moved from banks and credit unions to Robinhood, Fidelity, SoFi and other fintechs without any agent involved.
Keeping the file useful is ongoing work. Jacobs says CSI assigns signals to transaction and merchant category data nightly, then uses a model to infer what changed in a customer’s life.
“It first starts with data,” says Jacobs. “It has always started with data.”
- Get lending, compliance, IT and marketing on one working team before the first campaign.
- Name the executive who owns products per customer, and report against it monthly.
- Set the refresh schedule with whoever owns the data, and hold them to it.
Bottom line: No fintech, megabank or AI agent has an institution’s customer data. It’s worth nothing until marketing can use it.
