Personalised at Scale — Free ebook by Perx Technologies
Personalised
at Scale
How Agentic AI Is Redefining Customer Engagement in Financial Services
Key Findings From Live Deployments
70–90%
2–12×
8–21×
0.6–2.1%
$2.9B
30+
Inside This ebook
Chapter 1 — Why personalisation at scale has been structurally out of reach
The three limits of segment-based, scheduled campaign approaches — and why most institutions have already hit the ceiling. Segments are not individuals. Scheduled campaigns miss the moment. Rules-based systems stagnate over time as customer behaviour evolves.
Chapter 2 — How agentic AI actually works: the Detect, Decide, Act, Optimise loop
The four-stage execution loop explained plainly, with no hype and no jargon. Detect monitors behavioural signals in real time. Decide determines the optimal action for this specific customer at this specific moment — not this segment. Act fires the personalised engagement through the right channel at the right time. Optimise observes the outcome and adjusts the next decision continuously.
Chapter 3 — Which behavioural signals matter most
The five signal types that power individual-level engagement decisions — and how to build the intelligence layer that makes precision personalisation operationally viable.
- Transactional — real-time spend data revealing what customers buy, how often, and where
- Engagement — app navigation depth showing who is genuinely interested vs. passively present
- Lifecycle — trajectory signals identifying customers accelerating, plateauing, or drifting toward churn
- Redemption — reward selection patterns as a precise, survey-free map of individual preference
- Event — time-sensitive moments (salary credit, loan repayment) creating brief windows of elevated receptivity
Chapter 4 — The human-in-the-loop imperative in regulated industries
Why the most effective agentic deployments pair machine execution with human governance — and where that line sits in practice. Covers five governance domains: strategy and objective ownership, rule configuration, anomaly review, insight interpretation, and regulatory accountability. Every automated action in a human-in-the-loop architecture traces back to a human-approved rule — providing the auditability that financial services regulators require.
Chapter 5 — Real outcomes from live deployments
Benchmarks drawn from enterprises across more than 30 markets, including MAU growth, activation rates, ROI, reward cost efficiency, and a $2.9B topline impact across the Perx client portfolio in the last year alone.
Who Should Read This
Chief Marketing Officers
Chief Digital Officers
Heads of Loyalty and CRM
Product and Growth Leaders
Download the ebook
Frequently Asked Questions
What is agentic AI in customer engagement?
What ROI can banks and financial institutions expect from agentic AI loyalty platforms?
How does the Detect-Decide-Act-Optimise loop work?
Why is human-in-the-loop AI essential in financial services?
What activation rates are achievable with AI-powered customer onboarding in banking?
Which behavioural signals matter most for AI-powered personalisation in financial services?
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