AI-Powered Marketing: Unlocking new frontiers of authenticity and trust in banking

Defined as a set of technologies that can mimic human reasoning and capabilities with the help of computing machines, Artificial Intelligence (AI) has been making a huge impact on how people transact and interact with one another in the digital realm. In addition to providing detailed insights based on individual preferences and online consumption patterns, AI has been helping businesses optimize resources in the pursuit of increased operational efficiencies. This is especially true for the banking and financial services sector where AI has transformed how banks and FinTech firms are navigating through the increasingly crowded digital marketing landscape. With the financial services industry experiencing transformative changes powered by the rising influence of digital technologies, it warrants a deeper dive into how AI in particular is revolutionizing customer engagement models and helping firms amass a loyal customer base.

Powering brand-building strategies and achieving greater customer engagement

Amongst the many advantages of integrating AI tools into existing marketing frameworks is the promise of data-driven decision making. By deploying AI algorithms, companies can automate data analytics and churn large volumes of data to generate insights that can seldom be achieved purely through human capital. In fact, financial institutions are now being able to process both financial and customer data to arrive at accurate insights with a speed that was hitherto deemed impossible a few years ago. As a consequence, banks, FinTech lenders and other financial service providers are increasingly integrating AI technologies to market the right product to the right customer, that too with complete automation and with predictable outcomes. Banks are now able to utilize AI-powered predictive analytics to make the most of all cross-selling or up-selling opportunities, without resorting to repeated or irrelevant communications being made to different customer sets within the large customer database. What’s more, financial firms can now analyse ongoing campaigns in real-time, with the added benefit of understanding underlying consumer trends and correlating them with historical data points for greater conviction. In fact, improving the effectiveness of digital marketing campaigns while simultaneously increasing customer engagement is now being made possible by AI-powered marketing enhancements.

Driving hyper-personalised marketing campaigns to improve customer trust

As customers increasingly shift towards online or mobile platforms for both basic and more complex financial transactions, banking institutions are realizing how important it is to facilitate customer loyalty and trust to stay relevant in a digitally connected world. While this is extremely important from a business sustenance perspective, many financial firms have found it difficult to craft and execute marketing strategies that personalise individual messaging or even product/service recommendations. This is where generative AI is helping banks and financial service providers. YES BANK is looking to leverage a leading Gen AI tool with the focus on hyper-personalization. The tool can generate personalized creatives and content from the data provided. Segments can be created from the Bank’s database through propensity modelling, which the tool will consume to create hyper-personalized content. Gen AI can also help us in discovering new target segments for which communications will be tailored. Leveraging Gen AI will reduce TATs, create customer delight, and can potentially amplify business outcomes.

Moreover, AI-powered chatbots and virtual assistants are helping resolve basic customer queries round the clock, with the ability to seek human intervention for more personalised and nuanced suggestions. Not only are these tools able to go beyond pre-programmed responses and answer customer queries with a human touch, but they are also capable of falling back on past conversations or queries to deliver a hyper-personalised marketing and support experience.

Enhancing customer experiences by leveraging AI-powered marketing tools & strategies

According to a McKinsey & Company report titled, The Next in Personalisation 2021, 78% of surveyed customers agree to have more brand loyalty and product/service affinity when the business knows their individual preferences and requirements. In the banking space, this can be a tedious task considering the size of a bank’s customer base, with relationship managers only being able to cater to a limited set of customer while ensuring human touch and consistent delivery. Having said that, employee attrition is a big issue that can jeopardise well-designed marketing campaigns, with the last-mile messaging being solely reliant on the skills/availability of a relationship manager or marketing executive. With the power of AI however, banks can tailor the content displayed to each customer based on their past purchases, current intentions and future financial goals; supporting each customer with relevant knowledge and tips to augment their wealth creation journeys. Similarly, AI-powered email messaging tools can deliver contextual communications, with every important process or touchpoint covered to ensure a more engaged customer experience. Banks can also make use of event or transaction-based triggers to achieve a truly dynamic email marketing campaign; in turn improving lead conversions and shoring up banking revenues across different product and consumer segments.

Future challenges in maintaining authenticity and compliance

Undoubtedly, banking institutions face unique challenges when integrating AI-powered marketing tools and strategies. A calibrated approach is essential, particularly when using generative AI for creative content. These AI-generated outputs must ensure regulatory compliance and respect cultural sensitivities.

Defining user groups and achieving accurate customer segmentation is one of the chief operational challenges faced by banks when dealing with AI-powered marketing campaigns. While there are different ways in which banks can segment their customer base-according to geography, income levels, age groups or even behavioural tendencies- there is a constant need to revisit customer segmentation and tweak how they are grouped based on campaign-related insights. Furthermore, the challenge of balancing cost concerns with efficiency gains can hinder the path to initial adoption, discouraging smaller players from transitioning to AI-powered marketing tools in the immediate term. From a regulatory perspective, the task of utilising customer data whilst also safeguarding it from malicious cyber entities is arguably the most formidable challenge that continues to impact customer trust and business confidence. That said, with the Reserve Bank of India (RBI) and the banking industry embracing AI and working towards mitigating these nuanced challenges, retail customers will ultimately be the biggest benefactors of the ongoing AI revolution.