Banks have huge amounts of customer data (transactions, digital usage, social signals, CRM notes).

Today, customer lifecycle communication (CLCM) is manual, rigid, and delayed.

Personas are usually static (set once a year in marketing strategy) → they don’t reflect real-time behavior changes.

Campaigns often overlap/clash (customer gets multiple irrelevant messages).

Social sentiment is not integrated with transactional personas → leading to missed retention opportunities.

No easy way for a marketer/manager to define new personas on the fly, test them, and see results daily.

Problem We’re Solving

We’re building an AI-driven dynamic persona + campaign agent that:

Continuously listens to customer signals across bank + social channels + call center.

Dynamically creates/updates personas (latest supersedes old).

Automatically maps personas to communications (via Adobe Campaign).

Provides you with a daily report on audience, personas, and campaign results.

This means better efficiency, less manual ops, more personalized targeting, and happier customers.

Who Benefits?

Marketing Teams → faster, more relevant campaigns; less manual segmentation.

Relationship Managers → actionable insights on customer personas & next best actions.

Compliance/Risk Teams → fewer campaign clashes, clear audit trail.

Customers → receive only relevant, timely, personalized communication.