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Joe & The Juice Improved its Conversion Rate (CVR) by 14%

With multiple campaigns to be run across different geographical locations to drive audiences to their business, Joe and the Juice wanted an infrastructure to handle the performance of this high volume marketing effort, while being mindful of their budget.

Klar Reduced its Cost Per First Transaction (CPFT) by 29%

Shifting behavior of their target audience across multiple platforms increased Klar’s Cost Per First Transaction(CPFT). They needed to target the cohorts in the right place at the right time to drive marketing performance and optimizing budgets across platforms without compromising on cost efficiency.

Flo Mattress Improves its Clickthrough Rate (CTR) by 52%

A highly competitive market meant a high Cost Per Thousand Impressions(CPM) month on month, which Flo aimed to bring down.

ITC Improved its Return On Ad Spend (ROAS) by 25%

ITC’s goal was two-fold: one, to redistribute budget optimally, and two, to subsequently get an ROAS greater than 2, on live campaigns.

Madison World Improved Performance for Multiple Clients

Madison World was looking to tap into the right audience cohorts to increase the quality and quantity of their leads. For select clients, they also wanted to help them rapidly scale whilst maintaining the budget efficiency.

GroupM Improved Performance for Multiple Clients

GroupM wanted to identify bid and budget inefficiencies across multiple client campaigns, with the help of AI models.

OMG Media Improved Performance for Multiple Clients

OMG noticed a huge change in how marketers run campaigns post pandemic, and was looking for a system that could effectively reach and engage target audiences for their clients, amidst a crowded and competitive marketplace.

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