Innovation in customer experience is essential for competitive differentiation and growth, yet it can be challenging to measure and often relies on sudden bursts of insight. This report explores the three key strategies to build a robust CX innovation playbook:

• Unify data in one single source of truth
• Build an innovation North Star
• Develop a culture of agility
  

Here, we speak with two leaders who have gone down opposing paths. In the “build” corner we have Paul Cooper, the former Head of Technology Delivery, Operations and Cyber at takepayments, and in the “buy” corner we have Dan Allen, the Deputy Director Dan Allen, Deputy Director of Landlord Support, National Residential Landlords Association (NRLA) of Landlord Support at the National Residential Landlords Association (NRLA). Together they dive into the pros and cons of each approach and offer critical insights around AI scalability, maintaining AI independence, implementation best practices, talent management, and their biggest learnings.

The AI curtain has been raised. In the initial 18 months following its emergence in late 2022, much of the discourse around this technology centred on unearthing and poring over its potential. That discourse has moved on significantly as 2024 has unfolded and we’re beginning to see brands pushing past proof of concept and showcasing the tangible business value it can deliver.

In today's digital landscape, delivering consistent, tailored experiences is crucial for all brands. Being present at the right touchpoint is essential, as missed expectations can erode brand trust and loyalty. With 96% of consumers saying a negative experience affects their likelihood of returning and 12% willing to switch brands after one poor interaction, CX leaders must prioritize seamless experiences. This report explores how AI-powered search and content recommendation platforms can help brands meet these demands and drive business outcomes.

What's inside this report?

• The state of brand trust and loyalty
• The value of AI-powered relevance
• Using AI to deliver personalized experiences