Move Beyond Traditional Marketing to Embrace AI-Driven Personalization
Consumers expect contextual personalization across channels and in real-time. Olly Downs from Curinos discusses the opportunities and challenges of direct engagement.
Consumers expect contextual personalization across channels and in real-time. Olly Downs from Curinos discusses the opportunities and challenges of direct engagement.
Banks must create a personalized digital experience that differentiates their brand by using data and insights to increase engagement.
While consumers generally like their primary financial institution, satisfaction no longer drives loyalty or even retention. How can banks retool to respond?
Banking faces a 'readiness gap' between AI aspirations and deployment. Financial institutions must build strategies now to make banking more resilient.
Banks are over-reliant on new account metrics that don't correlate to profitability. Worse, nearly 70% of new accounts remain inactive after 90 days.
New analysis shows digital prowess stems not from asset size alone. There must be a culture that accepts change and client-obsessed mindsets.
IBM research explores the immense yet balanced potential of generative AI across innovating customer value, optimizing operations, and managing risks.
As economic uncertainty causes customers to reevaluate relationships, experience excellence becomes the battleground that will determine bank loyalty in the future.
Success in 2024 and beyond hinges on reallocating technology investments and priorities from defensive stability to strategic growth.
Banks must transition from a one-size-fits-all model of products and delivery to participatory engagement, where personal preference is king.
Explore practical applications of generative AI in retail banking for the level hyper-personalized engagement expected by consumers.
Trends emerge for banks to reinvent customer lifetime value, personalization, digital platform thinking and reimagined experiences.
Listen and learn how Denison State Bank has adapted their strategies to meet the evolving needs of today’s consumers in this 15-minute interview.
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Updated: What does OpenAI's disruptive week mean for responsible and beneficial AI adoption in the financial services industry?
2024 will be a pivotal year for a banking industry faced with an uncertain economy – but also with significant opportunities for growth.
A survey of marketers at banks, credit unions and fintechs illustrates the need to pivot in response to marketplace dynamics and highlights the challenges that must be overcome to succeed.
As fintechs reshape banking, their focus on profits over scale does not diminish the competitive threat — or collaborative opportunity.
Banks must leverage data, predictive analytics and modern technology to enable personalized, real-time engagement across the customer journey.
A reset of existing business models in banking is underway, thanks to technology like artificial intelligence, hybrid cloud, embedded finance and banking as a service.
For Gen Z consumers, banks must learn strategies to connect through hyper-personalization, social media marketing, financial empowerment and purpose.
As banking becomes embedded in digital ecosystems, financial institutions must evolve from monetary exchange to enabling value transfer models.
What does it take to be successful with an embedded finance strategy? And what do nonbank platform partners value most? IBM research offers some insight.
Technology thought leader Brian Roemmele wants generative AI models to transform banking in positive ways and suggests ways to avoid pitfalls.
This webinar from Vericast is a must-attend for banking marketers looking to stay ahead of the competition and drive loan growth.
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