💳Finance & Banking

Test the decisions that move accounts, not just clicks.

Financial services teams face high-stakes decisions with real cost if they get it wrong — offer framing, approval thresholds, cross-sell timing, fraud parameters. Decision Process brings the same statistical rigor used in clinical trials to operational finance decisions.

Experiment Templates

Ready-to-run experiments

Credit Offer Messaging Test

“Pre-approved framing increases credit card application rate vs. invitation framing.”

Conditions

  • Invitation offer (control)
  • Pre-approved offer

Metrics

  • Approval Rate (%)
  • Cost per Acquisition (USD)
Customer+62% application rate

Account Onboarding Flow

“Streamlined document upload reduces application abandonment.”

Conditions

  • Upload-first (control)
  • Create-then-upload
  • Mobile capture

Metrics

  • Approval Rate (%)
  • Cost per Acquisition (USD)
  • Cross-Sell Rate (%)
Account−44% abandonment

Fraud Detection Threshold Calibration

“Raising the fraud score threshold at 85 reduces false positives without increasing true fraud.”

Conditions

  • Threshold 75 (control)
  • Threshold 80
  • Threshold 85

Metrics

  • Fraud Rate (%)
  • Approval Rate (%)
  • Revenue per Account (USD)
Transaction−17% false positives

Cross-Sell Offer Timing

“Presenting savings product offer at day 30 post-open outperforms day 7.”

Conditions

  • Day 7 offer (control)
  • Day 30 offer
  • Behavior-triggered

Metrics

  • Cross-Sell Rate (%)
  • Churn Rate (%)
  • Revenue per Account (USD)
Account+34% cross-sell rate

Worked Example

Pre-approved vs. invitation offer framing for 3,200 credit card prospects

A retail bank randomly assigns credit card marketing to two groups: an invitation-to-apply message vs. a pre-approved framing (same underlying terms). Application rate and downstream default rate tracked at 90 days.

Results: application_rate (%)

Invitation offer (control)

mean: 4.2%

95% CI: 3.4–5.0

Pre-approved framing

mean: 6.8%

95% CI: 5.8–7.8

P(better) = 99%

Pre-approved framing lifts application rate by +2.6 percentage points (d = +0.52, medium effect) at 99% posterior probability, with no significant difference in 90-day default rate. Recommendation: shift all eligible prospect outreach to pre-approved framing.

Explore other domains

🛒Retail & Commerce📣Marketing & Growth🏥Healthcare🎓Education

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