Data Methodology

AudienceMix is bringing the supply network model to data. 

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Where it comes from:

There is a wealth of unique and valuable data sources that struggle to monetize themselves alone.  By joining a network, these supplier benefit from joint representation and advertisers benefit from their scale.  All data suppliers commit to universal consent and privacy laws. 

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How it's assembled:

AudienceMix's Data Scientists and AI software built a data warehouse that comingles multiple data signals and types.  Our proprietary code can ingests raw row level data and assign unique identifiers that allow it to be matched with alternate data sources.  The data is stitched to annoymized offline IDs for cross-device activation.  If needed, we can expand audiences further through our own look-a-like and predictive modeler.

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Advertiser Benefit:​

The boolean logic, "and/or", of having to activate multiple data types on a campaign makes it a challenge for advertisers to run multiple sets of data together.​  By combining the data sets together in one collective audience, and setting the weights and probability together, advertisers can achieve scale and price efficiency.

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