The Outcome
44%
Increase in leads
43%
Increased lead rate
52%
Decreased CPL
1.1X
Higher Conversions
43%
Decreased cost of final conversion
Increase in leads
Increased lead rate
Decreased CPL
Higher Conversions
Decreased cost of final conversion
Initially, the search campaigns were run on manual bidding basis several factors such as past keyword performance or ad position in North & South region
Due to multi-hospital & multi-specialty structure, there were several highly bifurcated campaigns running simultaneously for which we had to allocate budget at an ad group level. Thus, it became time consuming to optimize each campaign manually.
Hence, to simplify the workflow without damaging the campaign progress, we decided to test out the new Google’s Machine Learning feature – NEEV for the north region; due to fierce competition & lack of brand awareness compared to the South.
The no. of ad groups were reduced drastically to 6 to 8 from 30 to 35 along with a shared budget amongst all.
This guaranteed no wastage of media spends & ensured efficient performance.
To increase the relevancy rate, we enhanced our ad copies to match the ad groups perfectly
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In the event that you believe you have fallen victim to recruitment fraud, we urge you to promptly report the incident to law enforcement agencies.