Stop optimising acquisition, approval and risk as separate challenges.
The unit that matters is not a lead, an approval or a score. It is contribution margin per funded customer after acquisition cost, data cost, pricing, expected loss and retention.
Goscore connects the levers: direct acquisition, completed applications, recovered approvals, risk pricing and realised performance. Start with the P&L model, then deploy only the product modules that move it.
Growth, Risk and Finance can each hit their own KPI while the economics of a funded customer get worse. Broker commissions, conservative declines and duplicated data checks all land in different budgets.
Make the conversation numerical immediately.
Goscore figures were gathered during pilot implementations and production lending use cases. They are specific to those portfolios and policies; results vary by lender, policy and implementation. Goscore Intelligence can operate across the Nordics, the EU, the US and Canada.
This is easier to justify in 2026 than another generic innovation project.
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01
Personal-lending growth has flattened overall in 2026 while consumer-lending growth has accelerated — a mix that puts more emphasis on profitable share, not volume alone.
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02
Leading banks continue to target both growth and aggressive cost efficiency.
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03
You can identify the highest-value intervention from management data before committing to a technology project.
Build the lending P&L opportunity model
Bring six numbers: monthly applications, funded loans, average acquisition/agent cost, approval rate, average margin and realised loss. We turn them into an opportunity map tied to specific Goscore tests.
Start this test →Small enough to approve. Specific enough to kill.
Input
Applications, funded loans, CAC/commission, approval, margin, loss.
Baseline
Calculate contribution per application and funded customer.
Stress
Model approval, acquisition-cost and loss improvements separately.
Prioritise
Run the Goscore test with the highest expected P&L impact first.
Revenue Growth
Credit optimisation is only valuable when it improves the economics of funded customers. Revenue Growth connects channel cost, conversion, approvals, pricing and realised risk — so teams optimise for profitable lending, not isolated funnel metrics.
- 01Measure the complete economics from lead source to realised loss
- 02Use richer risk insight to rescue profitable marginal customers
- 03Reduce unnecessary data checks earlier in the funnel
Build the lending P&L opportunity model
Bring six numbers: monthly applications, funded loans, average acquisition/agent cost, approval rate, average margin and realised loss. We turn them into an opportunity map tied to specific Goscore tests.