Artificial Intelligence Banking Big Data Fintech News

Crayon Data’s Relevance Quotient Report 2020 Explains the Trends and Patterns of Personalized Banking

Crayon Data's Relevance Quotient Report 2020 Explains the Trends and Patterns of Personalized Banking

Includes 100+ banks across 17 geographies

Crayon Data, a fast-growing AI and Big Data company, announced the launch of its Relevant Quotient Report to help banks in their personalization journeys. Due to COVID-19, new patterns in consumer purchase trends have put banks and merchants in a tough spot. They need to stay relevant to their customers to deliver superior customer experiences and drive share-of-wallet. Banks need to act quickly, or risk being out-paced by digital-first competitors.

Read More: New Union Bank Survey Finds U.S. Consumers Willing To Spend More To Support Small Businesses This Holiday Season

To evaluate how relevant banks currently are to their customers, Crayon Data, developed a proprietary framework with seven defined parameters of a customer’s journey. This framework, The Relevance Quotient, analyzes the level of personalization and relevancy of merchant deals and offers recommended by the bank to their customers, on their digital properties. The purpose was to see the impact of the pandemic on consumer preferences and choices. And to determine how well banks had adapted to the shifts in customer trends.

Read More: Hexaware Named Rising Star for the UK and US in the ISG Provider LensTM Digital Workplace of the Future — Services & Solutions 2020 Quadrant Report

Crayon Data researched over a hundred banks in 17 markets, across India, Middle East and Africa and APAC regions. Compiled into The Relevance Quotient Report 2020, the research examines the seven key parameters that banks need to focus on, to drive personalization for their customers. Parameters range from profiling customer tastes to providing seamless fulfilment. The banks are then graded into one of four levels depending on how well they are doing on the seven parameters.

Levels are assigned based on the ability to create customer taste profiles, recommend relevant offers, deliver personalized products and simplify offer discovery, engagement, cross channel integration and fulfilment.

Read More: Blackboxstocks Closes $1 Million in Debt Financing from Feenix Venture Partners

Related posts

RoboMarkets Adds Fractional Shares to R StocksTrader Along with Over 500 New Instruments

Fintech News Desk

CRIPCO Successfully lists IP3 on FTX, Paving the Way for ‘WADE NFT’ and other IP-based NFT Projects

Fintech News Desk

France Social Commerce Intelligence Report 2024: Market to Grow by 23.8% to Reach $11.57 Billion in 2024 – Forecasts to 2029 – ResearchAndMarkets.com

Business Wire
1