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As the country moves from the cash age to the plastic age to the mobile age, Fintech Cos are taking the lead in transforming the lives of the underserved and underprivileged segments of society and bringing them into the mainstream economy.

Empowered with advanced technologies such as AI/ML & Blockchain, Fintech is quickly moving into the gaps left by the mainstream banks and NBFCs by upgrading the way the large small-town and rural populace pays, borrows, invests and insures. And key to this is to know where to play, how to play and monitor the play – which BrandIdea is fully equipped to deliver on, with our huge repository of hyper-local data & insights!

Our Analytics Repertoire

  • Size & profile of your target audience
    (demographics, occupation, life-stage, lifestyle, income, HNWIs, etc)
  • ME spread & profile
  • Profile of Customers in catchment areas of MEs
  • SME profile and spread
  • Loans & Deposits penetration
  • Coverage and penetration of Govt schemes like MGNREGA
  • CSCs spread
  • Bank Branches spread and profile

The BrandIdea Business Analytics Product is distinctly unique. We have been modeling granular data assiduously for the last eight years – painstakingly, from the bottom-up — across 6 lakh villages, 8000 towns and 2 lakh neighbourhoods of India. We use an array of data-science techniques to generate powerful and compelling granular analytics, which make actionable insights literally pop out of the screen, with the help of versatile data visualizations.

Since the resulting interventions are customized and intense at the micro-level, there is minimal wastage of marketing and sales effort, as against a top-down, trickle-down approach. Also, these efforts drive higher growth by aggregating the effect of customized actions as against the diffused effect of top-down implementation.

At the micro-level, the multiplicity of these data points result in insightful predictive and prescriptive analytics, leading to surprising revelations that answer queries which traditional research would have struggled on. Such insights would not have emerged but for the granularity of data and analytics.


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