Webinar
Published January 23, 2026
Credit Decisioning Customer Management Marketing
The credit marketing landscape is evolving. As competition intensifies and consumer expectations rise, financial institutions that can predict, personalize and perform at scale will define the next generation of success.
In this webinar, our experts explore how financial institutions can use connected intelligence to find, know and grow the right customers, leading to:
- Smarter acquisition
- Stronger customer retention
- More proactive growth
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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
Webinar
Understanding the Consumer: Trends in Financial Behavior and Spending Patterns
Gain a clearer view of how consumers earn, spend, and manage their money in today’s evolving economic landscape. In this webinar, Experian experts break down the financial behaviors shaping demand, risk, and growth—using macroeconomic trends, credit data, and transaction-level cash flow insights.
- Key trends in spending, income stability, and cash flow
- What credit and cash flow signals reveal about your customers
- How to apply these insights to marketing, risk, and growth strategies
Tip Sheet
Protect Wallet Share and Lifetime Value
Your most valuable customers don’t announce their departure. By the time balances decline or activity slows, competitors have already captured share of wallet.
Download our strategic snapshot to learn how your institution can identify behavioral shifts early, respond confidently and accelerate high-value customers forward.
Did you know?
- Customers typically hold less than 50% of their deposits or loans with a single institution.
- Selling to an existing customer can be up to 10x more successful than acquiring a new one.
- A 5% increase in customer retention can boost profits by 25% to 95%.
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