Welcome to the Experian Thought Leadership Hub

Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.

• Refresh classification continuously
  
• Map dependencies and shadow models
  
• Standardize decisions and documentation

The consumer credit market entered 2026 on stable footing, but rising uncertainty - from geopolitical conflict, energy costs, and interest rates - is reshaping the outlook for lenders and consumers alike. Explore what’s changing and what it means for your strategy.

• Delinquencies stabilizing, standards easing
  
• Rising costs pressuring consumer affordability
  
• New risks shaping lending growth outlook

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%.

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

Innovations in post-login fraud have exposed gaps in login defenses. How are leading businesses responding? Experts from TD Bank and Experian take a look at modern ATO attacks and scams — and how to stop them.

What you’ll learn:

• How fraudsters exploit vulnerabilities in login defenses
• The operating structure of a real-world ATO fraud ring
• Keys to stopping coordinated attacks in real time

Explore how you can reframe engagement as a growth strategy and use CLV as a leading indicator of sustainable profitability.

Learn how to:

• Move beyond one-size-fits-all tools and experiences.
• Meet customer expectations for financial wellness and identity protection.
• Accelerate time-to-market with modern, embeddable solutions.
• Deliver a cohesive customer experience that drives growth.

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

Learn how a multilayered fraud strategy can help organizations protect every digital entry point and stop fraud earlier in the journey.

Key insights:

• Learn how behavioral analytics, identity verification and risk signals can stop fraud early.
• Explore how device, network, phone and email intelligence can strengthen defenses.
•  See how step-up verification can help block high-risk actions and prevent fraud losses.

Financial Frontiers explores the structural shifts, emerging technologies, and regulatory developments reshaping financial services. In this inaugural brief, we examine how stablecoins are moving from niche crypto instruments to institutional financial infrastructure — and what that means for strategy, liquidity, and competitive positioning.

• Why stablecoins are gaining institutional traction
  
• Regulatory momentum and implications for financial firms
  
• Strategic questions leaders should be asking now