Target and measure real world consumers like never before

Introducing a robust self-serve tool to help brands target interest based audiences and prove the true impact of digital ads on in-store visits
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Take your digital campaigns to the next level
Audiences

​​​​​​​Leverage high quality, pre-defined audience segments based on real life interests, affinity and purchase intent to optimise your campaign targeting
Attribution

​​​​​​​Measure the true ROI of your omni-channel digital campaigns in terms of driving footfalls in-store and optimise your marketing spend
Audiences
​​​​​​​Lifesight Location Audiences will enable you to target ads to users based on their offline behaviour, predominantly their physical world business category and brand affinities​​​​​​​. The audiences can also be activated on all popular DSPs, tapping into the lookalike capability to extend reach.
Here's what Lifesight Audiences can do for you

​​​​​​​Reach pre-defined audiences based on their real-world behaviour

​​​​​​​Increase your conversion rates by targeting the right customer, at the right time

​​​​​​​Activate audiences across popular DSPs  and build lookalike audiences to expand your reach

​​​​​​​Request for custom audience segments based on your requirements
Total
​​​​​​​Countries
8
Total Audience
​​​​​​​Segments
4582
Total Unique
​​​​​​​Reach
268,322,071
Audience Categories
Place Category Visitors
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This segment is made up of offline consumers who visited a specific point of interest.
Example : Car Dealership Visitors, Fast Food Visitors
Retail Brand Shoppers
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This segment is made up of offline consumers who visited retail brands based on a recency and frequency.
Example : KFC Visitors, BMW Visitors, Uniqlo Visitors
Geo-behavioral Personas
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This segment is made up of a combination of offline activities that defines a consumer persona.
Example : Business Traveller, University Student, Affluent Household
App Ownership & Usage
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This segment is made up of a mobile users app ownership and what type of app categories they use.
Example : Racing Gamer, News Reader, Ride Sharing User
Demographic Segments
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This segment is made up of offline consumers demographic information that is declared or inferred.
Example : Gender, Age Groups, Household Type, Affluence Level
Mobile Segments
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This segment is made up of mobile users device brand preferences and mobile carrier preferences.
Example : Device Brands, Carrier Users, Switchers
Attribution
Measuring footfalls is vital to understanding the true impact of your digital campaigns and optimising ad spends. With Lifesight Attribution, we can help you do just that. We track ad engagement across all popular ad channels and match that to a selected location’s footfall data to produce attribution reports that help brands optimise campaigns and measure visit lift.
Here's what Lifesight Attribution can do for you
Understand the true impact of your online campaigns by measuring footfalls that were driven to your various retail outlets
Optimise your campaigns and ad spend by identifying which channels drove the most footfalls and analysing the cost per visit (CPV)
Get deeper insights about your customer profiles such as demographics, ad engagement, etc. and optimise your reach
Gain an in-depth analysis on your campaign performance with 50+ report categories across attribution, places data, engagement, and conversion
In 2018, Lifesight measured a total of 14,756,345 ​​​​​​​footfalls
​​​​​​​to over 350,000 retail stores across APAC
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Start engaging real-world consumers and measuring footfalls with Lifesight. Reach out for a demo to get started

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