By Kathryn Wright, CMO, Upside

To date, Open Banking has been mainly utilised to help consumers with account switching and account aggregation. Being able to have a birds-eye-view of our spending always helps us realise how much money might be slowly ‘leaking out’ of our pockets. As useful as some of the applications have been so far, they are somewhat passive in nature and there is a bigger opportunity at play with Open Banking.

Personalisation has been the holy grail in sales and marketing for some time now, often twinned with omni-channel propositions. According to a study by Gartner in 2018, the brands who personalised discounts and calls-to-action outperform their competitors in revenue by at least 20%. The demand for a completely personalised customer experience has seen many SaaS offerings come to market, promising a complete understanding of your customer.

Many of these technologies are riddled with challenges though, such as customers flitting between devices, moving from mobile to tablet to laptop, and all at different IP locations – which is where omni-channel solutions are needed, but only work reliably when a customer is ‘logged in’. Cookie tracking, or the lack of it, also impacts what is shown to a customer. There’s nothing worse for a customer than clicking through an email and landing on a website just to see a large pop-over asking them to sign up to emails and offers. That’s clear evidence and an example of personalisation not working!

Another bad example in basic segmentation is generalisation. Businesses often take a few pieces of demographic data and then make wildly inaccurate assumptions about the customer. No retailer or marketer needs more data. They need actionable data with insights which can drive action and engagement.

And this is when Open Banking comes into play. By pairing past spending data through Open Banking, marketing teams can better understand their customer base, and brands can personalise which products and offers are shown and when. The end-result is an all-round better experience for the customer, which in turn means an increase in their brand loyalty.

Single Source Of Truth

Businesses currently struggle to know who really is a new customer. It’s kind of tricky when all of the largest discounts are designed to get a new customer on board and marketing teams are heavily focused on new customer acquisition and the cost per new customer.

So who is a new customer? Someone with a new email address that you haven’t seen before? But what about a different delivery address or using PayPal one time and then a card the next time. One customer can potentially register as a ‘new customer’ up to around seven times. Additionally, if I leave my broadband provider this year and come back after a year, am I a repeat or new customer? Brian Dunne from Gift Card Consulting, advisor and investor to Upside puts it well: “There is no such thing as new customers, they’ve all seen you at some point. You are just not getting all their spend most of the time.”

False customer categorisation affects all other business metrics. CAC, CLTV, Repeat purchase rate, customer churn – and these are not trivial metrics, these are metrics upon which huge budgets are committed to or culled. The answer to these questions and challenges in customer personalisation lies in Open Banking. The single source of truth where money can only come out once. Of course, there are credit cards and multiple bank accounts, but the idea is for the customer to have all of these linked.

A new world of data analysis opens up when Open Banking is applied. Retailers can see the frequency of spend, location and average order value. Most brands have this information, but only for themselves. Outside of their walled-garden, it’s more of a mystery. Open Banking allows businesses to benchmark all of these metrics against the rest of their industry, showing what percentage of wallet share they have, which is more meaningful as a metric than an incorrect measure of new customer sign-ups.

For Open Banking to fully show its potential, the conversation with customers needs to change. Brands need to reward repeat purchases and loyalty, instead of offering all of the best discounts to ‘new customers’. Leveraging new fintechs and Open Banking, retailers will be able to know for sure who is a new customer, which will allow them to attract new, win back old and delight their most loyal customers more accurately.

Open Banking – Fiction or the Future of Retail?

Pairing machine learning with Open Banking brings personalisation to a whole new level above simple segmentation and improves the customer experience. Machine learning and AI, combined with Open Banking, are ways to create insights from the masses of data that businesses have. As an example, over time, businesses will be able to recognise when a particular customer looks like they are going to lapse into no longer shopping there, or shop less regularly, and suggest to the brand that at this stage, they offer a special cashback rate. Rather than a ‘spray and pray’ attitude to marketing it means brands can give customers what they need at the right time and ensure their communications are relevant.

Does this sound like a dream? It is not – the technology is ready. Open banking and machine learning can change the way marketing and sales work for any industry. Estimates sit around 95% for the prediction of future revenue which will come from as little as 5% of a brand’s existing customer base. A study by the Center for Generational Kinetics reveals 80% of consumers would visit a store they hadn’t visited before if given a direct cashback. Given statistics like these, retention through delighting and rewarding existing customers, as well as new user acquisition, is imperative.

It’s only the mindset which often holds businesses back. Those retailers, businesses and Open Banking providers who grasp this opportunity and move away from the old discounting culture will rise in the post-Covid-19 world.