Brands
Deriving further insights from TAM data after a psychographic definition
TV Pulse 2005, the annual research initiative put together by the Joint Industry Body (JIB) and Tam Media, series continues with the paper – Deriving further insights from TAM data after a psychographic definition.
The paper by Paper contributed by ATG, Group-M attempts to describe one such exercise undertaken by MCI in conjunction with TAM.
One common issue with marketers of high-end products is defining their target audience through a combination of demographics and psychographics. In-depths, pen-portraits etc yield particular psychographic traits that possibly are unique to this particular category’s consumers. However, media planning and buying requires quantification. Therefore, key questions addressed in this paper are:
- How does one size up a psychographic target?
- What are ways in which one can then derive some broad media consumption learning?
- How can one then, use some kind of ‘bridge’ definition of a TA that would help one analyze dynamic media information through viewership databases like TAM?
Preamble viewership of channels with international news and entertainment could comprise of broadly two kinds of audiences. One is that segment which is genuinely interested in such programming as against other viewers who just dabble with such channels. Marketers who advertise in such channels are more interested in reaching the former. The latter would either not be part of their source of business volumes or could be reached through other cost efficient methods.
The objective, therefore of the analysis were:
- To determine the various audience clusters of Category X and size up those who are skewed to English programming (International Entertainment and News)
- RLD analysis of heavy viewers of English entertainment and the skewness of various channels on this definition of the TA.
This detailed paper clearly showed that combining a psychographic definition along with a special analysis using TV data helped make a smarter channel selection for this brand.
The primary objective is to substantiate the hyphothesis that Category X consumption is skewed to a particular cluster which is characterised by heavy viewing of English programming. Also, it is to determine the overall size of this cluster in the broad demographic. This is important, as a marketing manager should avoid over/under-estimating the size of this up-market audience. A realistic idea of the size would help fix some kind of budget allocation across various audience clusters.
The second objective would help answer which of the programming driven channels have a greater composition of hard-core international programming viewers‘ vs the ‘dabblers‘, as has been elaborated in the preamble. An extensive battery of over 290 statements allows the analyst to do various combinations before finalising on clusters that are internally homogenous and yet differentiated across.
The paper points out that combining a psychographic definition along with a special analysis using TV data helps make a smarter channel selection for this brand.
Brands
Uidai partners with Google to help users locate Aadhaar centres
Verified Aadhaar centres to appear on Maps with services and access info
MUMBAI: Finding an Aadhaar centre may soon be as easy as finding your favourite café. In a move aimed at making public services more accessible, the Unique Identification Authority of India has partnered with Google to display authorised Aadhaar centres on Google Maps. The feature, expected to roll out in the coming months, will allow residents to locate verified centres quickly and confidently.
More than 60,000 Aadhaar centres, including state of the art Aadhaar Seva Kendras, will be mapped. When users search on Google Maps, they will be directed to authorised facilities rather than unverified listings, helping curb misinformation and confusion.
The listings will do more than drop a pin. Users will be able to see the nature of services offered at each centre, whether it is adult enrolment, child enrolment, or limited to address and mobile number updates. Details such as operating hours, parking availability and divyang friendly infrastructure will also be shown wherever applicable.
Uidai CEO Bhuvnesh Kumar, said the collaboration is part of the authority’s continued effort to improve ease of living for Aadhaar holders by making authorised centres simpler and faster to navigate.
The partnership will deepen in its next phase, with Uidai using Google Business Profile to manage information and respond directly to public feedback. Looking ahead, the two organisations are also exploring the option of enabling appointment bookings through the Google Maps interface, potentially allowing residents to plan their visits with greater efficiency.
Google India country head, strategic partnerships Roli Agarwal, said integrating verified Aadhaar centres would help millions access trusted services with confidence, bringing essential government infrastructure closer to the people who need it most.
If all goes to plan, a routine Aadhaar update may soon begin not with a queue, but with a search bar.
