Harnessing AI to build stronger banking relationships
How Collinson helps drive loyalty, revenue, and relevance.
Harnessing AI to build stronger banking relationships
How Collinson helps drive loyalty, revenue, and relevance.
Harnessing AI to build stronger banking relationships
How Collinson helps drive loyalty, revenue, and relevance.
The influence of Artificial intelligence (AI) in our daily lives is no longer a futuristic concept, but a strategic imperative, with transformative applications reshaping industries, including banking.
For issuers, AI is rapidly moving from an emerging capability to a baseline expectation, driven by changing customer behaviour, increasing competition, and the need to deliver greater value from existing customer relationships.
Generative AI presents a powerful opportunity to engage customers more effectively and efficiently. According to Accenture, banks that deploy generative AI at scale could unlock a 22–30% productivity uplift and a 6% increase in revenue, highlighting the tangible commercial impact when AI is applied responsibly and strategically.
Modern consumers expect to be recognised as individuals, not averages. Banks already segment customers based on life stage, spend behaviour, card usage, tenure and travel patterns. However, traditional segmentation models struggle to keep pace with customers’ changing needs across channels and moments.
AI enables issuers to move beyond static segments towards a dynamic, fully omnichannel view of the customer. By intelligently interpreting multiple interactions across touchpoints, banks can design hyper‑personalised loyalty and engagement programmes that deliver relevant products, propositions and rewards — strengthening emotional connection and protecting against competitive switching..
Turning data into meaningful engagement
AI‑driven personalisation allows customer engagement programmes to evolve significantly. By analysing behavioural and transactional data, banks can deliver tailored rewards and experiences that are integrated seamlessly into everyday interactions, while maintaining consistent segmentation across all channels.
Working with Collinson, banks can take this further by using AI to design engagement strategies that reflect real customer behaviours and preferences. For example:
Frequent travellers can be recognised with access to relevant travel‑related rewards.
High‑spending cardholders can be engaged through targeted cashback or premium benefits.
This ensures every customer segment feels valued, while enabling issuers to focus investment where it delivers the greatest impact.
Rewards experiences with less friction
AI doesn’t just enable more relevant rewards — it removes friction from how those rewards are delivered and experienced. Automation allows benefits to be activated seamlessly and embedded into customers’ existing digital behaviours, such as earning rewards through online shopping or in‑app activity.
By automating tasks like benefit redemption, banks can reduce operational complexity while improving the customer experience. Embedded finance further enables rewards to sit naturally within the digital journeys customers already use, reinforcing engagement without adding effort or confusion.
Five principles for AI success in loyalty
As shared by Bhavesh Vaghela, Senior Vice President of Product and Innovation, on the Let’s Talk Loyalty podcast, successful AI adoption in banking is guided by five core principles:
Clearly define the problem you are solving and the outcome you want to deliver.
Ensure data is integrated, governance is clear, and teams are equipped to work with AI responsibly.
Identify where AI can add the most value today, while remaining adaptable to regulation and technology change.
Embrace experimentation and feedback to continuously improve outcomes.
Collaborate with trusted vendors to innovate in ways that align with your strategy.
Together, these principles help ensure AI delivers measurable results while aligning with the realities of regulated environments.
Time to treat customers as individuals
In a world where 65% of customers expect brands to adapt to their changing needs, it remains concerning that 61% feel treated like a number. This gap between expectation and experience represents a growing risk — and opportunity — for banks.
At Collinson, we help close this gap by combining our unique data ecosystem, Collinson SmartInsight, with deep loyalty and travel expertise. By integrating a bank’s customer profile, spend and engagement data, we identify meaningful segments and activate targeted offers, rewards and promotions across omnichannel environments.
Our approach ensures:
- Consistency across branches, digital platforms and mobile apps
- Elimination of silos between channels
- A unified, relevant experience at every point of interaction
We work closely with banks to design, implement and optimise end‑to‑end engagement programmes, aligning AI‑driven personalisation with clear business goals and long‑term roadmaps.
Build a smarter, more rewarding card strategy
Talk to us about using AI to deepen engagement and drive loyalty.
The influence of Artificial intelligence (AI) in our daily lives is no longer a futuristic concept, but a strategic imperative, with transformative applications reshaping industries, including banking.
For issuers, AI is rapidly moving from an emerging capability to a baseline expectation, driven by changing customer behaviour, increasing competition, and the need to deliver greater value from existing customer relationships.
Generative AI presents a powerful opportunity to engage customers more effectively and efficiently. According to Accenture, banks that deploy generative AI at scale could unlock a 22–30% productivity uplift and a 6% increase in revenue, highlighting the tangible commercial impact when AI is applied responsibly and strategically.
Modern consumers expect to be recognised as individuals, not averages. Banks already segment customers based on life stage, spend behaviour, card usage, tenure and travel patterns. However, traditional segmentation models struggle to keep pace with customers’ changing needs across channels and moments.
AI enables issuers to move beyond static segments towards a dynamic, fully omnichannel view of the customer. By intelligently interpreting multiple interactions across touchpoints, banks can design hyper‑personalised loyalty and engagement programmes that deliver relevant products, propositions and rewards — strengthening emotional connection and protecting against competitive switching..
Turning data into meaningful engagement
AI‑driven personalisation allows customer engagement programmes to evolve significantly. By analysing behavioural and transactional data, banks can deliver tailored rewards and experiences that are integrated seamlessly into everyday interactions, while maintaining consistent segmentation across all channels.
Working with Collinson, banks can take this further by using AI to design engagement strategies that reflect real customer behaviours and preferences. For example:
Frequent travellers can be recognised with access to relevant travel‑related rewards.
High‑spending cardholders can be engaged through targeted cashback or premium benefits.
This ensures every customer segment feels valued, while enabling issuers to focus investment where it delivers the greatest impact.
Rewards experiences with less friction
AI doesn’t just enable more relevant rewards — it removes friction from how those rewards are delivered and experienced. Automation allows benefits to be activated seamlessly and embedded into customers’ existing digital behaviours, such as earning rewards through online shopping or in‑app activity.
By automating tasks like benefit redemption, banks can reduce operational complexity while improving the customer experience. Embedded finance further enables rewards to sit naturally within the digital journeys customers already use, reinforcing engagement without adding effort or confusion.
Five principles for AI success in loyalty
As shared by Bhavesh Vaghela, Senior Vice President of Product and Innovation, on the Let’s Talk Loyalty podcast, successful AI adoption in banking is guided by five core principles:
Clearly define the problem you are solving and the outcome you want to deliver.
Ensure data is integrated, governance is clear, and teams are equipped to work with AI responsibly.
Identify where AI can add the most value today, while remaining adaptable to regulation and technology change.
Embrace experimentation and feedback to continuously improve outcomes.
Collaborate with trusted vendors to innovate in ways that align with your strategy.
Together, these principles help ensure AI delivers measurable results while aligning with the realities of regulated environments.
Time to treat customers as individuals
In a world where 65% of customers expect brands to adapt to their changing needs, it remains concerning that 61% feel treated like a number. This gap between expectation and experience represents a growing risk — and opportunity — for banks.
At Collinson, we help close this gap by combining our unique data ecosystem, Collinson SmartInsight, with deep loyalty and travel expertise. By integrating a bank’s customer profile, spend and engagement data, we identify meaningful segments and activate targeted offers, rewards and promotions across omnichannel environments.
Our approach ensures:
- Consistency across branches, digital platforms and mobile apps
- Elimination of silos between channels
- A unified, relevant experience at every point of interaction
We work closely with banks to design, implement and optimise end‑to‑end engagement programmes, aligning AI‑driven personalisation with clear business goals and long‑term roadmaps.
Build a smarter, more rewarding card strategy
Talk to us about using AI to deepen engagement and drive loyalty.