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Background
The other day I was shopping on Amazon and Flipkart online. I chose a mobile to buy and on the same page, another section came up which had information displayed for a mobile cover and a screen protector for that mobile. The site also created a combo deal of all 3 items (mobile, cover and protector) and gave the total amount which needs to be paid for it. This experience got me thinking that how strong the data analysis of the shopping site is that it is able to predict that when a person shops for a mobile, he will generally shop for a cover and screen guard as well. This bundling of the services/products, not just gives a good experience to the customer but additional business to the company as well by cross selling products.
Another classic example is that when we plan for a holiday and if try booking a flight from some travel site, immediately it will predict and propose hotels/cab services for the chosen destination.
Once you have done shopping from these sites, based on the data they have available about you, they send promotional communication through mails/messages etc. These communications are not just generic but specific as well based on your search and purchase history. This makes the shopping experience very smooth and pleasant for the customer.
IF we extrapolate this scenario to banks, we need to ask whether the Banks are doing sufficient for the customers. Based on the data they have about the customer and their banking history, do the banks really know their customers to be able to provide good products and services with the best customer experience.
Where the banks are missing it
They wait for the customer to come and apply for products and services.
Most of the follow-up with customers is through cold calls and generic promotional communication.
Proper customer data analytics is not done and needs and requirements not predicted.
Customized service is still in infancy and restricted to premium customers.
To know the customer really
If a bank really wants to feel a part of customer life, then it needs to make customers a part of its life. They should aim:
To predict customer's next spend – If the customer has used his credit card/net banking for air ticket booking, immediately, he should be approached for using banking services for insurance, hotel booking, suggesting the nearest branches, ATMs in his destination place.
To predict his next money needs and be there before he actually needs it like post marriage, home setup loans, education loans, vacation loans, saving based on promotions or job change, business extension products etc. To be able to offer these products, banks should be in touch with customers and understand at what stage of life they are in and what their needs are at that stage.
Come up with customized products by having tie ups with various e-commerce to provide other benefits and services. Predict the need to services, like half annual service of cars, repair of house etc.
Customer should be felt cared about and ensured that as a Bank, we understand what they want. That will be the actual 'know your customers' for the bank.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Amr Adawi Co-Founder and Co-CEO at MetaWealth
25 November
Kathiravan Rajendran Associate Director of Marketing Operations at Macro Global
Vitaliy Shtyrkin Chief Product Officer at B2BINPAY
22 November
Kunal Jhunjhunwala Founder at airpay payment services
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