Connect with us

MAM

GroupM and Lifesight launch India’s first online to offline attribution playbook

Published

on

MUMBAI: GroupM India and Lifesight, a location intelligence platform and data company, have co-created a playbook answering key questions advertising clients have on online to offline attribution and outlining ways in which marketers can use intelligence on consumers’ online behaviors to impact offline sales. This is the first-of-its-kind attribution study in India examining the conversion of online ads into offline sales.

Given that large populations of consumers and businesses are still operating out of physical stores and the fact that India has also witnessed e-commerce brands moving into offline spaces, it is critical to have data to help marketers connect the dots and uncover insights on how the offline consumer behavior is impacted by online advertising.

GroupM understands that new age consumers' buying journeys are blended and multi-channel. Customers switch quickly and continuously between online and offline realms. Hence, considering behaviors, patterns and journeys are crucial, not just in contextual and personalised advertising but also marketing measurements.

Advertisement

GroupM South Asia president – growth and transformation Tushar Vyas said, “The importance of omnichannel strategies has grown exponentially, and the lines between online and offline have begun to blur. Given that the consumer journey between online and offline is becoming seamless, it is critical to have the right technology to manage location data and location-based attribution models to provide better insights to clients.”

Marketing attribution is the science of crediting marketing touchpoints with consumers for actions they take after exposure and consequently allocating advertising budgets according to performance. GroupM and Lifesight have identified six different attribution models for accurate footfall attribution: first touch, last touch, position-based, linear-based, time decay and data-driven.

Vyas added, “For a marketer to understand what’s working in their campaigns, it is important to attribute the right conversion to its apt source. At GroupM, we understand the constant need to create, invent and reinvent the right measurement frameworks to help our clients address their business problems.” 

Advertisement

In 300+ campaigns run through Lifesight, with over 200 brands, there were remarkable insights discovered: 

1) The average costs to drive in consumer footfall is the most for consumer durables and the Auto sector and the least for Quick Service Restaurants (QSR) and Fashion.

2) Offline attribution works best for auto and QSR since most people would visit a physical store

Advertisement

3) The retail sector takes the least time (2-3 days) to drive a walk-in from exposure. On average, it takes approximately 6-9 days across verticals to drive store walk-ins

4) 70 per cent of the initial walk-ins to physical stores happens within the first 8 exposures. Retail takes the least number of exposures while fashion requires the most.

Lifesight co-founder and CEO Tobin Thomas said, "Marketers today have unlimited options for building, targeting, and delivering a campaign. But even with all these options, one question remains- is my advertising working? With a large number of channels to choose from, it’s imperative to understand how each campaign component performed comparatively. As a result, location attribution has emerged as a powerful solution to stitch together channel, audience, and platform signals to understand reactions to online advertising in the real world.” 

Advertisement

Thomas added, "Lifesight is leading efforts to take campaign success metrics beyond the click. We are excited that leading a marketing powerhouse like GroupM has joined us at the forefront of online-to-offline attribution.”

Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Brands

Jubilant FoodWorks faces Rs 47.5 crore GST demand, plans appeal

Tax authorities flag alleged misclassification of restaurant services

Published

on

MUMBAI: Jubilant FoodWorks Limited has landed in a tax tussle after receiving a GST demand of Rs 47.5 crore from the office of the additional commissioner of CGST and central excise in Thane, Maharashtra.

The order, issued under the provisions of the Central Goods and Services Tax Act, 2017, relates to an alleged incorrect classification of certain services under the category of restaurant services. According to the tax authorities, this classification resulted in a short payment of goods and services tax for the period between the financial years 2019-20 and 2021-22.

The demand includes Rs 47.5 crore in GST along with an equal amount as penalty, in addition to applicable interest. The order was received by the company on March 13, 2026.

Advertisement

In a regulatory filing to the BSE Limited and the National Stock Exchange of India Limited, the company said it disagrees with the order and believes its arguments were not adequately considered.

The company is preparing to challenge the decision and plans to file an appeal. It added that once the redressal process is complete, the demand is likely to be dropped.

Despite the sizeable figure attached to the notice, the company said it does not expect any material impact on its financials, operations or other activities.

Advertisement

The disclosure was signed by Suman Hegde, EVP and chief financial officer, who confirmed that the company received the order at 19:06 IST on March 13 and has already initiated steps to contest it.

The development places the quick service restaurant major in the middle of a tax debate that could hinge on how certain restaurant-linked services are classified under GST rules. For now, the company appears ready to take the matter from the tax office to the appeals desk.

Advertisement
Continue Reading

Advertisement News18
Advertisement All three Media
Advertisement Whtasapp
Advertisement Year Enders

Copyright © 2026 Indian Television Dot Com PVT LTD

This will close in 10 seconds

×