Infinite Analytics

Case Studies

Clients

Case Studies

Objective
Increase ROI of digital media spends by 5x

Approach
Analyzed user data from the web and social networks on sleep patterns through the IA platform to identify the right audiences for the digital campaigns

Impact
Increased ROI to 39x within 3 months

Objective
Decrease CAC (Cost Per Subscriber) by 20%

Approach
Analyzed user data from the web, social networks and mobile data through the IA platform to identify target audiences for this bike sharing app

Impact
Decreased CAC by 70% within one month

Objective
Increase online sales of Huggies Diapers on Lazada in Philippines

Approach
Analyzed data of consumers of baby-care products and newly minted parents in Philippines to find behavioral insights

Impact
Increased conversions by ~600% and reduction in CAC by 48%

Objective
Build an engaged subscriber base of 100K in 2 months

Approach
Evaluated media content, mined and analyzed relevant data. Created sharp TGs based on psychographic insights and media consumption habits

Impact
Hit target in 45 days at half the cost with 200% higher view rates. Doubled views to subscriber ratio, which lead to driving organic traction

Objective
Increase # of international applicants from 1300 to 5000 within 3 weeks

Approach
Analyzed data across web, social networks and global mobile data to identify behavior of students looking to study in India, and built target audiences

Impact
Increased # of applicants to 7000 within 3 weeks, leading to a $10mm increase in revenues for the Govt. of India

Objective
Increase online sales for mobile broadband category

Approach
Analyzed data from direct competitors in the region. We were able to generate archetypal profiles based on real world activities and media affinities

Impact
Reduced CAC by 75% with a 2X increase in orders and revenue

Objective
To reduce cost per acquisition (CAC)

Approach
Targetted consumers basis the genre, affinity , scripts and storylines of the shows on the OTT platform.

Impact
India Achieved cost per acquisition for the new OTT subscriptions at 75% lower than the target set by client

Objective
Reduce CPV for digital campaigns for Pregakem

Approach
Analyzed data of newly minted parents, built lookalike models for pregnant women and find behavioral insights to precisely target them

Impact
Reduced CPV by over 70% within one month

Objective
Increase fan engagement by 15% in Saudi Arabia for new version of Coca Cola

Approach
Sourced data from multiple sources for Saudi Arabia, and analyzed for unseen patterns in the IA platform

Impact
Increase fan engagement by 30% within 3 weeks

Objective
Reduce CAC by 15% in a 2 month pilot

Approach
Analyzed user data from the web and social networks on sleep patterns through the IA platform to identify the right audiences for the digital campaigns

Impact
Decreased CAC by over 30% within the first month

Objective
Decrease CAC (cost per subscription) by 50%

Approach
Analyzed the data of consumers of various shows of Alt Balaji, including affinity to various genres, scripts, storylines to define target segments

Impact
CAC decreased by over 70% within a span of 1 month

Objective
Create brand awareness and maximize reach across digital platforms linear TV shows

Approach
Analyzed content of each show and cross-sectioned it with TV data to find behavioral insights about potential viewers

Impact
Precisely targeted 52M potential viewers in 20 days at 1/3rd the cost, increased reach by 3X and engagement by 2X for the same media spends

Objective
Drive engagement and awareness for Epic after it was rebranded from a GEC to an infotainment channel

Approach
Analyzed content across categories such as travel, sports, mythology and food to understand consumption patterns of users. We were able to identify behavioral predictors about potential viewers of EPIC TV’s new shows

Impact
Being a digital-focused marketing plan, increased engagement by 334% to drive up ratings from 1.5 to 4.2

Objective
Increase conversions (walk-ins into the clinic), decrease CAC by 20% increase Average Order Value within stores

Approach
Analyzed data across web, social networks and global mobile data to identify behavior of people looking to get skin and hair treatment, and built target audiences

Impact
Decreased CAC by 35%, increased conversions by over 200% and increased AOV by 150% within 2 months

Objective
Reduce Cost Per Install globally for the new OTT app

Approach
Analyzed documentary content across categories such as travel, sports, mythology and food to understand consumption patterns of users

Impact
Drove Cost per Install to as low as INR 18 within 1 month