By Sanjay Kumar, Chief Technology and Product Officer, Loylty Rewardz
Ananya opens her banking app on a Friday evening. Over the past few days, she has booked an international flight, paid a visa fee on her credit card, checked foreign-exchange rates and browsed hotel options. She still needs accommodation, perhaps travel insurance and airport transport.
Her bank may already know most of this. The problem is that it may not know it as one story.
The flight transaction may sit within the card ecosystem. Her forex activity may be visible to the banking application. Rewards may sit within a loyalty platform, while travel privileges and merchant partnerships may be managed elsewhere.
To each system, Ananya is an account, a cardholder, a transaction or a loyalty member. To Ananya, there is only one objective: she is planning a trip.
That gap between how customers experience their lives and how enterprises organise themselves is where the next generation of loyalty will be built.
For years, loyalty in financial services followed a straightforward model: transact more, earn more and redeem later. Points, miles and cashback remain useful, but they are no longer enough to define the relationship between a financial institution and its customer.
Loyalty 3.0 is the shift from programme-based rewards to an enterprise-wide understanding of customer intent.
Enterprise-wide loyalty does not mean awarding points across every banking product. It means recognising that the institution has one relationship with the customer, even if that relationship is delivered through cards, UPI, deposits, lending, wealth, payments, commerce and servicing.
Customers do not think in these product boundaries. They think in terms of what they are trying to achieve: travel somewhere, buy a home, manage an unexpected expense, invest for the future or pay for education.
That is why intent matters.
A transaction tells us what happened. A combination of transactions, searches, interactions and behavioural signals can begin to tell us what the customer may be trying to do next.
The model therefore moves beyond traditional campaign logic:
Data → Behaviour → Context → Intent → Decision → Action → Outcome → Learning
First-party data is the foundation. Banks and financial institutions already possess exceptionally rich signals through payment behaviour, product relationships, digital interactions, merchant activity and service journeys. The competitive advantage, however, will not come from simply accumulating more of this data. It will come from connecting it intelligently and responsibly.
For years, institutions have pursued Customer 360: understanding who the customer is and what they have done. The next step is to complement that with Customer Now: understanding what is happening in the customer’s life at this moment.
An intent engine can interpret that context and ask a fundamentally different question.
Not: “Which offer should we send?”
But: “What is the most useful thing we can do for this customer right now?”
Perhaps Ananya needs a hotel recommendation. Perhaps she would benefit from forex support or airport lounge access. Perhaps she already has complimentary travel insurance through her premium card, in which case selling her another policy would be pointless. A more intelligent system would surface the benefit she already owns and make it easier to use.
And sometimes, the best action may simply be no action at all.
This is the shift from next-best-offer to next-best-action.
Traditional loyalty and marketing systems are often optimised for campaign conversion. An enterprise-wide relationship requires a broader objective. The right action may be an offer, but it could equally be advice, convenience, recognition, protection, resolution of a service issue or removal of friction.
The goal is no longer simply to maximise the value of the next transaction. It is to strengthen the value of the relationship.
This evolution also changes the role of loyalty technology.
Historically, loyalty platforms centred on the rewards ledger: earn, burn, expiry and redemption. In Loyalty 3.0, the ledger remains important, but it becomes one component within a broader enterprise intelligence and orchestration layer.
Loyalty therefore begins to operate less like a standalone programme and more like a customer-value layer across the enterprise.
AI makes this possible at a scale that conventional segmentation and rule-based systems cannot easily achieve. Its purpose, however, should not be to create more messages or push more products. Its real value lies in improving understanding and relevance. That intelligence must also have boundaries.
Intelligence can recommend. Governance must constrain.
This principle will become increasingly important as financial institutions experiment with more autonomous and agentic systems capable of not only recognising intent but eventually orchestrating parts of a customer journey.
Trust therefore becomes inseparable from Loyalty 3.0.
First-party data is valuable because it comes from a direct customer relationship. The better institutions become at understanding behaviour and predicting intent, the greater their responsibility becomes in deciding how that understanding should be used.
Poor personalisation is irritating. Highly accurate personalisation used without judgement can become intrusive.
Financial institutions therefore need to answer three questions together: Can we understand the customer’s intent? Do we have permission to use these signals for this purpose? And should we act on what we know?
There must also be a visible value exchange. Customers are unlikely to welcome sophisticated intelligence if its only outcome is more advertising. If it leads instead to fewer irrelevant messages, better discovery of benefits, faster servicing and more useful experiences, the value becomes clear.
The next battleground in BFSI loyalty will therefore not be determined simply by who offers the most points or the largest rewards catalogue. It will be shaped by which institutions can connect customer context across the enterprise, recognise intent early and respond in ways customers genuinely find useful.
Loyalty 1.0 rewarded transactions. Loyalty 2.0 personalised engagement. Loyalty 3.0 will increasingly understand intent and orchestrate value across the enterprise.
The future of loyalty is not about making every banking product more rewarding. It is about making the entire institution more useful to the customer.