A Minneapolis credit union losing share to fintech competitors
A Minneapolis, Minnesota-based regional credit union with 84,000 members across the Twin Cities metro and Western Wisconsin. Founded in 1957, the credit union had strong member loyalty but was losing new account and lending share to fintech competitors like SoFi, LendingClub, and Marcus. Monthly loan applications had declined from 480 in 2022 down to 380 in early 2025, and the lending team needed to grow application volume to support new member acquisition goals.
Why fintech was outcompeting a trusted local institution
Three issues handicapped the credit union. First, lending advertising had to navigate strict regulatory compliance requirements that the previous marketing team had handled by simply running fewer ads, leaving the credit union under-spent and under-visible against fintech competitors with sophisticated compliance review processes. Second, the loan application flow was a desktop-oriented multi-page form that took 22 minutes to complete and had a 41% abandonment rate. Third, the credit union had no AI search presence, so when prospective borrowers asked ChatGPT or Perplexity about lending options, fintech alternatives appeared while the credit union did not.
How we rebuilt compliant paid search, AI search, and apply flow
We rebuilt the credit union's paid search and social advertising with a compliance review process that allowed for higher volume while staying within regulatory requirements. Compliance counsel and the marketing operations team reviewed all creative in advance, with pre-approved language libraries that the campaign team could use without per-piece review. We built AI SEO authority around regional lending topics specific to the Twin Cities and Western Wisconsin, with content covering auto loan rates, mortgage rate comparisons, personal loan options for debt consolidation, business banking for small Minneapolis businesses, and the practical differences between credit unions and large banks. Each piece was structured with citation-ready paragraphs and schema markup so that LLMs could quote the credit union as a regional lending authority. On the software side, our engineering team rebuilt the loan application flow as a mobile-first 4-step experience that pre-filled known member information for existing members, supported document upload from phone camera, and integrated with the credit union's core banking system so applications appeared in the lender's queue within 30 seconds of submission. The new flow cut average application completion time from 22 minutes to 6 minutes.
Ten-month results across loan apps, AI citations, and new members
By month 10, monthly loan applications reached 2,140, up from 380 at the start. Application completion rate improved from 59% to 87% because the new mobile-first flow removed friction. New member signups grew from 184 monthly to 1,247 monthly, driven by the lending acquisition funnel. Monthly AI search citations grew from zero to 124 mentions in Twin Cities lending queries, with the credit union becoming the most-cited regional lending alternative to fintech competitors in Claude and Perplexity. Total annual lending volume grew by approximately $84 million from the new application volume. The credit union added 2 lending officers during the engagement, funded by the new loan volume.
How the credit union reclaimed share from fintech
Before the engagement, the credit union's marketing was reactive and under-spent compared to fintech competitors. By month 10, the credit union had a sustainable compliance-aware marketing operation that allowed for ongoing paid search and AI search investment without sacrificing regulatory comfort. The CEO described the engagement as the first time the credit union had digital marketing capabilities that matched the strength of the underlying member service.