Portsmouth, NH -- (ReleaseWire) -- 01/14/2014 -- C3 Metrics, the leading SaaS attribution modeling and optimization platform, is holding a webinar on Attribution Modeling. On January 14th, 2014, online marketers can join "The 3 Most Important Attribution Modeling Techniques You Can Do Today to Scale Your Multi-Channel Campaign" webinar for free.
With the fastest implementation in the industry, C3 Metrics' optimization and Attribution Modeling platform's award winning dashboard natively incorporates viewable impressions, and provides the real-time feedback necessary to run on every programmatic trading desk, DSP and ad network.
"The 3 Most Important Attribution Modeling Techniques You Can Do Today to Scale Your Multi-Channel Campaign" live webinar is expected to significantly educate marketers - without letting them spending a dime for it. Jeff Greenfield, co-founder of C3 Metrics, will be hosting the Attribution Modeling Webinar, focusing on the three essentials every marketer should learn while ignoring almost all the others -- and still increase ROI.
In particular, Greenfield will talk about how to effectively "hack" multi-channel campaigns to squeeze out maximum ROI. He will also be discussing various changes at Facebook, as well as the methods for monitoring and optimizing the most advanced Multi-Channel Campaign. He will also cover how a simple one-page dashboard can monitor and optimize even the most advance Multi-Channel Campaign (from Paid Search to Display to TV). If you're responsible for buying or managing media, then this webinar will change the way you look at digital marketing.
Headquartered in Portsmouth, New Hampshire, C3 Metrics provides a SaaS solution for agencies, brands and publishers solving the "last click" and data overload problem of online and offline marketing optimization.
The Webinar will be held at 2 PM EST (11 AM PST) and marketers can register via this Attribution Webinar Registration Link As Space is limited and these LIVE trainings always fill up because they are significantly better that the information others charge you thousands for... even though they are free.