Our Clients
Keyword Planning
Adbytzz can create thousands of keywords in the right structure using machine learning as well as qualitative inputs in no time.
Personalize ads to improve quality score
It also performs Personalization quite exhaustively through Grid Modeling ie Creative Mapping to the right audience of uploaded creatives and thus effectively tracks results and evaluates the efficacy of a campaign owing to it’s built in machine learning.
Lookalike Audiences
Adbytzz creates profiles of your most active users and targets lookalike audiences. It uses lookalike targeting to identify users with a strong likelihood to engage in high value events inside your app.
Ad Optimization with RTB
Adbytzz creates custom ad automations required to maintain ROI of the campaigns in the desired range and direction. Adbytzz is integrated with real-time bidding exchanges (RTB), enabling us to place bids on individual ad impressions. Combined with our optimization engine, your ad spend goes only towards users with a high likelihood to engage.
A completely full-funnel performance marketing strategy helped us in scaling Revenue up to 3X with 25% reduction in CAC.
Licious closed the gap with offline conversions and reduced Customer Acquisition Cost by 45% on Google UAC.
We managed to reduce the cost per app install by 22% via high-end persona research and ad automation using Adbytzz
“Their sharp data-led approach and intrinsic understanding of performance marketing channels has helped us in acquiring quality customers and scaling up our marketing efforts.”
“With them, ET Media Labs we’ve learned a lot about how people use our site and what stops them from trying our product.”
“If you’re serious about getting the best results, then they are the number-one choice undoubtedly.”
“Using ET Media Labs’ their tools and technologies we were able to scale up the performance of our paid channels by 240%, in a cost-effective manner. ”
Summary A completely refurbished audience intelligence in conjunction with dynamic ad personalization for users at different steps of the e-commerce
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