MediaMath Rolls Out A Suite Of Audience Solutions Down Under
Built over a database of more than a billion consumers, MediaMath Audiences is designed to help advertisers improve the performance and reach of their marketing campaigns.
The new audience offerings are as follows:
- MediaMath Lookalike Audiences – enables marketers to run cost-effective prospecting campaigns by targeting only consumers who are most likely to respond.
- MediaMath Targeted Audiences – unlocks insights into what customers browse and buy on other sites to inform campaign strategy and messaging.
- MediaMath Audience Scoring – uses predictive modelling and observed behaviour from across the web to identify which of a brand’s existing customers are most likely to re-engage.
MediaMath clients will be able to access these new audiences through a self-serve user interface in the company’s demand-side platform.
The company is also now offering marketers a suite of predictive reports – MediaMath Insights – that enable marketers to understand what browsing and buying activities are most likely to drive a return visit.
Rahul Vasudev, managing director for MediaMath in the Asia-Pacific region, said targeting past site visitors isn’t enough these days for marketers.
“We are helping clients optimise their prospecting campaigns with lookalike audiences at scale, and to boost their remarketing campaigns with informed scoring,” he said.
“We enable clients to adjust bid strategies and messaging based on customers’ actual online activity across all devices and channels.”