AI MARKETPLACES

maya.ai Relevance Quotient

Benchmark your offers marketplace today!
Improve Relevance of Your Offer Marketplace
In today’s dynamic landscape, customer behaviour is changing rapidly. To keep customers engaged banks and financial institutions have launched offer marketplaces. ​ ​

However, not every marketplace is fully equipped to drive engagement & growth.
Explore the 6 Pillars of Relevance Quotient​
An ideal offers marketplace experience requires six critical pillars – Discovery, Engagement, Supply, Personalization, Fulfilment & Support. Relevance Quotient benchmarks the offers marketplaces of financial institutions across these pillars.​
Examine the Four Levels ​of Relevance
The Relevance Quotient measures four levels of marketplace experience maturity
Level 0
Late Adopter
Institutions with a score between 0 and 20
Level 1
Practitioner
Those with a score between 21 and 40​
Level 2
Fast Followers
Those with a score between 41 and 65​
Level 3
Innovators
Those with a score higher than 65 (out of 100)​
Compare Your Offers Marketplace with Competition
Sample Benchmarking for a Country
Get Suggestions to Improve Your Offers Marketplace Experience
Sample Benchmarking for a Bank
Suggestions to improve offers marketplace
  • Enhance your search functionality
  • Remind customers with notifications
  • Add supply of international merchant offers
  • Provide personalized recommendations
  • Refine recommendations in real-time
  • Provide FAQs and enable customers to raise queries
Request a Report
Interested in seeing where your offers marketplace stands?​ Leave us a message