WHAT WE DO?
Measuring and monitoring consumption behavior is at the heart of CTI. It measures product consumption & brand shifts across 40+ categories, by varied audience segments.
HOW WE DO IT?
Unmatched depth & reliability. Face to face interview across 700+ districts and an unmatched sample of 1 million respondents in a year.
WHAT THIS MEANS FOR YOU?
Beyond market & mind shares no’s, to grow sales, marketers need deep insights to build brand loyalty. CTI helps you to understand your consumers better, so that you can create a winning brand.
Measuring consumption behavior is at the heart of CTI: It measures product consumption behaviour across 40+ categories & by varied audience segments. It’s deep insights on purchase, usage, loyalty shift & media will help deliver effective marketing decisions.
METRICS TO BE DELIVERED | SOME KEY QUESTIONS ANSWERED |
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MARKET SHARE SCORE | What is the Market Share of my Brand at a district level? |
BRAND RETENTION SCORE | Are my current users loyal to me and would purchase my brand next time as well? |
BRAND SHIFT SCORE BY DEMOGRAPHIC & GEOGRAPHIC SEGMENTS | If my brand users are not going to purchase me next time, then who are they planning to switch to? Which segments loss is highest? |
NET GAIN/LOSS | Is my brand going to gain some users or lose in the coming months? |
CONSUMPTION BEHAVIOUR PATTERN | Consumer behavior across same and other competing & complementary brands and categories |
MEDIA HABITS BY PRODUCT CONSUMPTION | What are the media habits of my customers? |
A model so unique, it integrates every facet of field work, data collection and analysis in-house, presenting India's Real Insights on a single platform.
DETAILS | RESEARCH APPROACH |
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Methodology |
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Geographical Coverage |
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40+ Consumer Categories across FMCG, Durables, Auto, Insurance, Media, Telecom, BFSI and E-com
Dedicated foot soldiers, capturing voices from 700+ districts and an unmatched sample of 1 million respondents
Updated data available on a quarterly rolling sample through fully integrated data centers
Robust representation through stratified sampling using the population proportionate approach