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Insurance giant leveraged Broad Match with automation and audience layering to achieve 168% incremental revenue with an improvement in ROI of 31% for generic campaigns​

Insurance giant leveraged Broad Match with automation and audience layering to achieve 168% incremental revenue with an improvement in ROI of 31% for generic campaigns​

challenges

Bajaj General insurance is one of the leading general insurance providers in india with multiple offerings for Bike, Car. Health and travel insurance. Post Covid the queries related to travel spiked and so did the intent to capture the same by travel insurance players, however being a challenger brand in the segment Bajaj’s presence on just brand kws was not yielding the results that were expected and at the same time generic was being expensive given the competitors.

The Outcome

Lower impression numbers by -27% at a increased scale of​ +59%, indicative of the sharpened targeting of intent based queries on search, minimising wastage of adveising dollars​ Unassisted final transactions increased by 172%​

29% improvement in CTR for generic campaigns​

Above resulted in 168% incremental final sales/revenue for BAGIC.​

The above campaign helped improve generic campaigns ROI by 31% overall​

+168%​

Incremental Revenue

+31%​

Improved ROI

+29%​

Improved CTR​