Use Clickstream based personalisation to enhance digital banking sales
Are your website visitors getting lost?
Is the information overload leading to higher abandonment ?
Leverage BankBuddy Intelligent recommendations to increase revenue per session, Reduced churn out rate / bounce rate & increase user conversion.
A. Personalise visits for Anonymous visitors
Use machine learning to analyse the aggregate customer clickstream data to identify patterns of behaviour and make streaming recommendations across web, mobile, social media & chatbots. Collect lead data for intelligent engagement via targeted digital campaigns.
For example prospects visiting from iOS device between 1-2 pm on a working day from a corporate network in CBD area who clicked on a credit card menu and spent more than 4 minutes could be interested in Airline co-branded card from an airline with base in their city of residence/work.
B. Give relevant suggestions to returning visitors
Maximize engagement opportunities by mapping user affinity and help returning users pick up where they left off to shorten the time spent on restarting the discovery experience.
Dynamically paint the page layout & change static content e.g. banners. pop ups etc. to display relevant products/pages based on their previous visits.
Craft intelligent digital journey based on customer persona & direct the users to chatbot for specific queries and offer in chat recommendations and special offers.
Use Machine learning to predict the propensity to buy and recommend relevant offer and Call to Action (CTA) to increase conversion.
For example show offer of a BMW loan bundle with 1 year free insurance cover to a returning prospect looking for car loan.
C. Human in the Loop for superlative conversion
Auto triggered human handoff to bring human in the loop. Leverage sentiment/priority based human handoff paired with skill based routing to ensure timely response for every opportunity.