Generative AI for Personalization in Consumer Banking

What Are the Key Use Cases for Consumer Banks and Credit Unions?

Generative AI (genAI) is making it easier than ever to create individualized banking experiences at scale. As banks and credit unions plan their personalization strategies, they need to understand the customer-facing areas where genAI can deliver the most value.

Key Question: What are the key personalization use cases for genAI in consumer banking, and how should banks and credit unions prioritize them?

Key Stat: Almost three-quarters (74%) of US consumers across all generations want more personalized banking experiences, per February 2024 data collected by The Harris Poll for Q2.

Here’s what’s in the full report

1file

Exportable files for easy reading, analysis and sharing.

4charts

Reliable data in simple displays for presentations and quick decision making.

Table of Contents

  1. Why does genAI for personalization matter right now?
  2. What are the key use cases of genAI for personalization?
  1. How should banks and credit unions prioritize these use cases for genAI-fueled personalization?
  2. What else should banks and credit unions keep in mind?
  1. Sources
  2. Media Gallery

Access All Charts and Data

Gain access to reliable data presented in clear and intelligible displays for quick understanding and decision making on the most important topics related to your industry, included at no extra cost.

authors

Maria Elm

Contributors

Suzy Davidkhanian
VP, Content
Vladimir de Leon
Chart Editor
Nikolai Dineros
Vladimir Hanzlik
Executive Editor and SVP, Content
Erika Huber
Director, Report Editing
Chris Keating
Director, Research
Tiffani Montez
Emma Noyes
Graphic Designer, Data Visualization
Carina Perkins
Senior Analyst
Amy Rotondo
Director, US Research
Emman Velasco
Chart Editor
Zia Daniell Wigder
Chief Content Officer
Julia Woolever