C3 Metrics Selected As Finalist For Best Attribution Platform

C3 Metrics, a global leader in cross-platform advertising attribution measurement and accountability, today announced its nomination as a finalist for the 5th Digiday Technology Awards in the Best Marketing/Attribution Platform category.

Part of the Digiday Awards Program, which is dedicated to recognizing innovation, creativity and excellence across many fields, the 2019 Digiday Technology Awards honor companies across 21 categories, including: Best Video and Marketing Platform, Best Marketing Automation Platform, Best Sales Automation Tools and Platform, Best Data Management Platform and more.
Within the Best Marketing/Attribution Platform category, the other finalists are Amino Payments, TUI UK & Nielsen, LumenAd, Lucidity, and Adobe.

This year’s awards are judged by industry leaders from MightyHive, Mediacom, PGA Tour, Microsoft and more, and winners are selected based on elements of creativity, innovative thinking, consumer value and results related to KPIs.

“Digiday is a vital source for advancing media and marketing, as well as showcasing how technology is disrupting these industries and we are delighted to to be a finalist for this year’s awards,” said Jeff Greenfield, Chief Attribution Officer at C3 Metrics.

“This recognition reinforces our dedication to providing advertisers the best results for each dollar spent and further demonstrates our continued company growth.”

On Tuesday, August 20 at 2:30 p.m. ET, Digiday will announce winners in select categories on its website, including Best Marketing/Attribution Platform, with the official announcement to take place at the Digiday Winter Awards gala, to be held in New York City.

About C3 Metrics
C3 Metrics makes marketing work better. Our Attribution Data Cloud and enterprise MTA, MMM & UMM solutions transform outdated reporting into real-time cross-platform insights. On average, companies using C3 Metrics report 15%+ increase in advertising ROI and a 6X return on their attribution investment.