- Majority Indian organizations use a blend of
first party (1P) and third party (3P) data for marketing and most marketers are increasing efforts to build 1P data. - A majority believe that the gaps in data breadth, depth and quality need to be addressed for the optimal usage of data for decision making.
- 82% Indian marketers see benefits in leveraging consumer data for marketing, but struggle with robust attribution models.
The survey conducted among 150 marketers across sectors revealed insights on the maturity of the consumer data strategy across the marketing landscape in India.
Some key highlights from the survey:
Data types and uses: 71% Indian organizations use a blend of first party (1P) and third party (3P) data for marketing and most marketers are increasing efforts to build 1P data. However, 58% believe that gaps in data breadth, depth and quality needed to be addressed to enable optimal use of data for decision making. Only 30% of the respondents believe they use and activate personal level consumer data optimally. Realty, retail and eCommerce, and technology sectors have a higher share of 1P data. Retail and eCommerce, and media and entertainment emerged as leaders in the usage of data across the spectrum for decision making. Consumer data was used most for analytics, conversion tracking and retargeting.
ROI measurement and attribution: 82% respondents see the benefit of leveraging consumer data for marketing, but struggle with robust attribution models. Only 12% of survey respondents have robust attribution models. 68% witnessed a lift in marketing efficiency by leveraging consumer data. 52% of Indian marketers face significant challenges with attribution. Indian marketers rely more on brand trackers and AB testing to support media decisions. However, a similar study conducted in the US indicated that US respondents used Media Mix Modelling a lot more and the US respondents were more adept (27% higher) at using tools compared to the Indian respondents. While performance and growth, and brand building emerge as two key focus areas for organizations; there is a significant focus required on implementing the right marketing tools and infrastructure.
Capabilities and skills: 72% respondents have built martech capabilities or are working towards that goal. 35% have adequate access to advanced analytics and data science resources. However, automation, identity management and next best action emerge as the biggest gaps. Retail, technology, and auto are leading sectors in martech maturity and capabilities
Data ownership, governance, and integration: 58% Indian marketers had defined ownership and management strategies for 1P consumer data. However, 60% had little integration of 1P and 3P data with limited employee access to organizational data resources. Only 24% respondents had cross-fishing rules defined for sharing of consumer data between brands.