Video
Published March 12, 2025
Credit Decisioning Marketing
Reaching the right consumers with credit offerings can be challenging without the right technology. Our optimized prescreen model and strategy service, Ascend Intelligence Services™ Target, can help organizations identify consumers who meet credit offer criteria, increasing the likelihood of positive responses.
With access to Experian’s historical data, financial institutions can:
- Identify the consumers who meet their credit criteria
- Increase the likelihood of positive responses to their offers
- Get the most ROI out of their marketing campaigns while staying within budget
By optimizing their prescreen strategies, organizations can reach more of the right consumers to grow their customers bases and drive revenue.
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Infographic
Turning missed moments into revenue
View our infographic to learn how to capture high-intent moments and turn them into lasting revenue. Discover:
- The cost of waiting and the impact on growth
- The benefits of real-time engagement strategies
- How better data powers your timing advantage
- Why partnering with us makes a difference
Case Study
How one lender achieved a 5 month payback
Education Credit Union modernized underwriting with Experian’s Advanced Decisioning—driving faster decisions, stronger approvals, and rapid ROI in a competitive market.
- 5-month payback period
- 4.4% lift in performance & funding
- $4M+ incremental originations
White Paper
Why efficient hyperparameter tuning matters: Putting Bayesian Optimization to the test
Bayesian Optimization offers a more efficient way to tune machine learning models at scale. This white paper presents a controlled comparison with Grid Search using production credit-risk data to measure runtime and model performance.
- Up to 80× faster hyperparameter tuning
- No loss in CV or holdout AUC
- Evidence from LightGBM credit-risk models
- Guidance for governed ML environments
Tip Sheet
Closing the gaps: fraud prevention across the customer lifecycle
This tip sheet explores where fraud can enter the customer lifecycle and how predictive fraud risk scores help distinguish fraud from true credit risk and help you:
- Reduce first-payment default and bust-out fraud
- Detect synthetic identities earlier
- Improve prescreen and campaign ROI
- Strengthen account management decisions