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Showing posts from August, 2021

Reaching Further with Reward

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Rewards are up, traffic is up, ads are up and the great news is that votes are helping advertisers to reach further into their audience and improve their campaign media performances. Our eco-system is increasingly understood, especially by voters who are already receiving a steady stream of redeemable reward shares from the data AdFreeway is using to improve campaigns.  Ad agencies can now upload creatives to directly plan and auto-manage media buying through AdFreeway's portal . Reporting votes and their effect on growing an audience is a new data metric for clients and agencies visible in the portal. The visual comparison of media buys targeting AdFreeway cohort vs. general public and first-party audiences provides new and powerful insights that are useful and valuable to ad-agency clients. AdFreeway is a real-time, creative multivariate that continuously shapes audiences to receive the most appropriate campaign creative. Votes are applied, in real time to score each campaign cre...

Demystifying Data Mining

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Thanks to our guest contributor Michael Lieberman.  Michael Lieberman Multivariate Solutions A little knowledge can be very powerful in the hands of marketers. Data mining is a powerful set of methodologies that when successfully applied will increase business revenue, cuts costs, or result in other actions to improve the bottom line. Data mining exercises are deployed to make decisions about marketing strategies, new product promotion, and to compare and contrast among competitors. Data mining knowhow is not new; however, the buzzword “data mining” is relatively new. Companies have long used statistics and database systems to extract valuable information from data sets. Today, innovations in artificial intelligence, machine learning, computer processing power, storage, data warehousing, and statistical software are dramatically increasing analysis accuracy while driving down costs. The intent of data mining is to identify correlations or patterns among multiple fields in large rel...