The State of AI in Financial Services Marketing
Published October 2024, this report examines how AI — and specifically purpose-built Motivation AI — is changing marketing for banks, card issuers, and lenders. By early 2024, Gartner found two-thirds of organisations had deployed AI across multiple business units, with generative AI most prevalent in marketing and customer service. Financial services, though traditionally cautious, now has a clear cohort of leaders proving the category works at scale — including 8 of the 10 largest US banks and 6 of the 8 largest card issuers, who have collectively driven more than $2.5 billion in incremental revenue over the past five years.
Grounded in a 2024 consumer study of 1,000 US consumers conducted by ResearchScape (sponsored by Persado), combined with Persado's own benchmark data from 17 billion financial services customer interactions (300 billion across industries) — the equivalent of more than one million in-market A/B tests.
What Bank Customers Want (and What Banks Are Missing)
The ResearchScape study reveals a persistent gap between what banks think they deliver and what customers actually experience in their inboxes and on their screens.
- 45% would switch banks for better personalisation: Nearly half of respondents — skewing higher among Gen X, Millennial, and Gen Z segments — said they would consider switching to a bank that knew them better and offered more personalised digital experiences.
- Only 45% feel their bank knows them: Just 45% of 1,000 US consumers surveyed say their bank knows them "somewhat well" at best. The other 55% feel their primary bank does not know them at all.
- Emotional engagement is flat: 66% of respondents describe written communications from their bank as only "somewhat emotionally engaging" at best, and 54% say bank communications are only "somewhat personalised" to their needs and preferences.
- Purpose-built AI delivers outsized impact: Persado customers have driven more than $2.5 billion in additional incremental revenue for large financial services organisations over five years. The largest banks average more than $200 million annually in additional revenue; mid-size and smaller banks typically see $50–$200 million annually.
- Results compound at the campaign level: Ally Financial drove a 57% increase in new Ally Invest accounts and doubled click-through rates across campaigns. JPMorgan Chase has seen 50%–250% higher engagement and conversion (per Gartner) using Motivation AI. Individual campaigns show 100% lifts in application submissions on web banners using Fascination and 68% lifts on push notifications using Excitement.
Specialised AI Beats General-Purpose AI in Regulated Industries
The report's argument to financial services CMOs boils down to a choice. Generic LLMs and off-the-shelf content assistants can produce fluent copy quickly, but in a regulated industry they also introduce risks: hallucinations, brand-voice drift, bias in lender-facing copy, and long legal and compliance review cycles. Purpose-built Motivation AI is designed around those constraints — trained on enterprise financial-services communications, fine-tuned to eliminate bias, integrated with compliance workflows that produce brand alignment scores and automatic flags for review, and supported by more than 40 martech integrations including top content-distribution and attribution platforms.
For CMOs, the practical takeaway is that the cost of getting personalisation wrong in financial services is the loss of the customer relationship itself — 45% said they would switch banks over it. The cost of waiting for generic AI tools to mature is measured in the $2.5 billion the early adopters have already banked. The report makes the case for acting now, with a specialised platform, rather than later with a general one.
Download the full Persado Financial Services Report for the complete consumer study findings, the framework for overcoming adoption barriers, and the use-case library across acquisition, engagement, cross-sell, and retention.
