The Challenge
Regional banks don’t struggle with reputation. They struggle with predictable digital loan volume.
The client had brand equity and strong relationships across their region, but digital was treated as a marketing line item rather than a loan source. Form-fill campaigns produced lead counts that looked fine on dashboards and translated to almost nothing the loan officers could close. The team needed a system that made digital a measurable, scalable channel — not just marketing activity.

Strategic Approach
Most lenders optimize for form fills. We optimized for closed loans.
That meant building backwards from the loan, not forwards from the click. The work required CRM integration, offline conversion tracking, continuous campaign refinement, and a review generation system to compound trust signals over time. It also meant accepting that the right metric to optimize against — qualified borrowers and funded loans — only becomes visible weeks after the click. Most agencies aren’t set up to wait that long, so they don’t, and they end up optimizing for the metric they can see instead of the one that matters.

Paid Ads with Closed-Loop Attribution
We ran Google Ads on a $10–12K monthly budget, producing 20–25 ad iterations across the year. The differentiator wasn’t the ads themselves — it was what fed back into them. We integrated the client’s CRM with Google Ads through the Data Manager API, then pushed loan status events (qualified lead, application started, loan closed) back as offline conversions. Google’s bidding then optimized against actual closed loans, not surface-level form fills.
Local SEO and Google Business Profile
The client serves communities across rural areas where local search intent is high but digital lender competition is thin. We optimized Google Business Profiles for each branch location, built out search-intent-targeted landing pages for the highest-converting loan types, and tightened the technical SEO foundation so the right pages ranked for the right queries.
Conversion Engine and Review Generation
Three conversion-focused landing pages anchored the funnel — one per loan type — built around the actual questions borrowers ask before applying. We layered in a review generation system to feed social proof back into both the landing pages and the local SEO surface area. When trust signals went up, conversion rates followed.
476
INBOUND LEADS
31%
qualified
↓
→
148
QUALIFIED LEADS
14%
moved to application
↓
→
20
APPLICATIONS
70%
pull-through rate
→
↓
14
CLOSED
LOANS
The Results
In an average month in 2025, the client saw 476 inbound leads. 31% qualified — 148 qualified leads. 14% of those moved to application — 20 applications. With a 70% pull-through rate, that produced 14 closed loans per month at an average loan size of $435,000, or roughly $6.1M in funded loan volume per month. Across the year: $70M in attributable digital loan volume on a $10–12K monthly spend.

$435,000
Average loan size

$6.1M
Funded loan volume per month

$70M
Attributable digital loan volume per year
