Standard definitions used across the Festive Barometer research.
The Festive Barometer tracks 9 product categories across India's online retail landscape.
A four-step approach combining secondary research, primary data collection, statistical modelling, and expert validation.
Existing Datum market data, public filings, industry reports, media reports, trade associations and government and public institutions, and data collected from secondary research.
Consumer survey to gather data on consumer behaviors, primary interviews of ecosystem players, and data scraping for quick commerce.
Build standardized bottom-up or top-down models that leverage data and market dynamics. Forecasting methods include exponential trend smoothing, S-Curve, and Auto-Regressive Integrated Moving Average (ARIMA).
Validation with market experts, ecosystem players and comparable key market indicators.
How survey data feeds into market share estimation through a multi-layered validation process.
To understand the shopping behaviour of Indian consumers in the upcoming festive season
Starting from the first day of Big Billion Days / Great Indian Festival to Diwali
Online survey of 5,000 online adults across 50 cities in India during the festive month
We are transparent about our research process and happy to discuss our approach in detail.
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