Today, most marketers agree that attribution leads to a better ROI. But which attribution model is the right one? Please join Adometry and guest Forrester to learn how marketers can understand and optimize the multiple parts of their marketing campaigns that are driving conversions, both online and offline, using a data-driven, advanced attribution solution.

In this 45-minute session, you’ll learn about:

• The difference between the various attribution methodologies and why not all attribution methodologies are created equal
• How to get started with an advanced attribution solution – pitfalls to avoid and best practices to embrace
• The top 3 things you should look for in an advanced attribution vendor

• You are using display, social, email, search, video, affiliates, TV and/or mobile platforms to reach your customers, and seeking better ways to measure and improve your results
• You are a media buyer, media planner or engaged in ad analytics

Digital media has become core to brands, and marketers are looking for more from traditional ad verification solutions. In addition to providing brand safety and ensuring compliance, a comprehensive verification platform encompasses viewability, audience verification, and how attribution modeling tied to verification data can impact their campaigns.

Please join Empower MediaMarketing and Adometry to learn about:

• The issues companies solve by content verification
• Why Empower MediaMarketing selected Adometry
• The results realized by a large financial institution
• Adometry’s industry-leading ad verification platform
• Improving contract compliance – did you get what you paid for
• Eliminating wasted impressions – were your ads seen by the right audience
• Monitoring viewability – which ads provided the most value
• Tying verification to attribution – how to find the good stuff

With the increased pace of change in technology and regulations coupled with demographic shifts and evolving digital lifestyles, the marketplace facing the financial services industry has become much more complex.  In the past year alone, more than 10 million new users accessed financial services from mobile devices. 

Today’s consumer-driven marketplace presents more challenges to reach targeted consumers.  At the same time there have never been greater opportunities to harness the power of on- and off-line channels to deliver the superior customer experience and find an edge in an increasingly competitive market.

This webcast will discuss how you can develop successful, integrated, cross-channel marketing strategies. There will be a focus on three key points:

• How new consumer behavior is forcing a change in the way organizations measure marketing and channel effectiveness
• How companies should be using big data to drive key business metrics
• How marketing departments need to be organizationally ready to collaborate with agencies, cross-channel attribution providers, and marketing mix optimization providers

A scientific discussion of how Adometry's Ad Analytics Saas Solutions Suite for Agencies and Advertisers provides actionable optimization recommendations for a 20-50% ROAS.

We will explain how marketers are wasting money and losing conversions by not getting the Real Actionable Optimization recommendations they need. Based on processing billions of ad impressions and clicks every month, we have discovered many improvement opportunities over simplistic last-click attribution.

Without a comprehensive reporting solution online advertisers are left to struggle with mountains of data, but no transparency, insight, or analysis. The sheer volume of data available has actually inhibited advanced campaign analysis, so marketers spend an inordinate amount of time analyzing the 0.1% of ad impressions that generated a click, but no time understanding the impact of the other 99.9% of their ad spend.

In part II of our series 'The Science of Adometry", this session we will have a scientific discussion around the science that Adometry utilizes in the Ad Analytics™ Saas Solution Suite. How machine learning and data driven technology turns real verification and real dynamic fractional attribution into real actionable optimization recommendations to help marketers understand where their dollars are being spent appropriately on cross channel marketing campaigns and where their marketing dollars are being wasted.

Presenter: Peter Norwood, COO.
Co-Presenters: Kevin Chamnass, PhD.,
Nena Marin, PhD.,
Shi Zhong, PhD.

Download the presentation here!

Watch the recorded version of the webinar here.

In this session we will have a scientific discussion around the science that Adometry utilizes in the Ad Analytics™ software suite. How machine learning and data driven technology work to help marketers understand where their dollars are being spent appropriately and where their dollars are being wasted through Automated Optimization.

Shi Zhong, Ph.D.
Dr. Shi Zhong is currently a senior director of research at Adometry. As a key contributor of the patent-pending Adometry fractional attribution and campaign optimization technologies, he is an enthusiast of applying data mining and machine learning techniques to solve large-scale real-world data analytics problems. Prior to Adometry, he worked for Zilliant as a senior pricing scientist and for Yahoo as a data mining research scientist. Even earlier he worked as an assistant professor at Florida Atlantic University where he conducted academic research in various areas of data mining and machine learning. He received a PhD in Data Mining from the University of Texas at Austin in 2003. He has over thirty journal and conference publications and two awarded US patents.

Nena Marín, Ph.D.
Dr.Nena M. Marín joined Adometry’s Research Team in July of 2010. Her research efforts at Adometry focus on Big Data Predictive Analytics for Digital Advertising. Dr. Marín’s research interests include data intensive high performance computing, mathematical modeling and simulations of physiological systems, spectral pattern recognition for disease detection and drug delivery, bioformatics and Monte Carlo simulations in tissue photonics. Her industry research interests include patterns in large scale and sparse datasets, clustering and unsupervised learning, collaborative filtering recommender systems and Marketing and Sales Optimization Churn analysis. Dr. Marín’s most recent published works are entitled “Pervasive Parallelism in Data Mining: Dataflow Solution to Co-clustering Large and Sparse Netflix Data” KDD Conference July 2009 in Paris, France,  “Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets” ICDM-W Conference December 2010 in Sydney, Australia and extended version to appear in Lecture Notes in Computer Sciences (LNCS 2011, in press). Dr. Marín is a National Science Foundation Fellow.

View the recorded webinar here.

Download the Presentation Slides Here!

In 2011 advertisers are faced with the same century old challenge, magnified by new channels and newer technology. The promise of online channels to generate perfect information for advertisers about reach, frequency, engagement, intent, and brand lift has gone largely unfilled. There is a lot of data available, but none of it answers the questions advertisers are asking.

Without a comprehensive reporting solution online advertisers are left to struggle with mountains of data, but no transparency, insight, or analysis. The sheer volume of data available has actually inhibited advanced campaign analysis, so marketers spend an inordinate amount of time analyzing the 0.1% of ad impressions that generated a click, but no time understanding the impact of the other 99.9% of their ad spend.

This session will focus on Adometry’s Ad Analytics that allows advertisers and agencies to validate, identify and remove invalid and low quality impressions from online display campaigns and further optimize using dynamic attribution analysis, reach and frequency, demographic and geographic reports. Unlike web analytics platforms that measure only on-site activity, Ad Analytics measures off-site views and interactions with online advertising media to improve campaign efficiencies and overall return on ad spend.

Presenter: Steve O'Brien, VP Marketing, Adometry, Inc.

Click here to watch the recorded version of this webinar.

Click here to download the slides form the webinar.

Marketers Crave Solutions That Provide Richer Performance and Audience Insights.

Join Adometry and Forrester Research for a fascinating discussion of Forrester's latest findings for Interactive Marketers. After interviewing hundreds of interactive marketing managers controlling $ millions in online budget, Forrester has identified critical needs currently going unmet that have a dramatic effect on digital spending. Steve O'Brien will interview Joanna O'Connell to discuss the research and findings in depth and explain how Forrester arrives at the conclusion that the varied needs of marketers – display, search, and cross-channel – are best addressed by a new breed of audience measurement solutions. These new audience measurement solutions will be described and compared to existing alternatives.

In this special report Forrester Research evaluated the attitudes, challenges and needs of display buyers with respect to topics including media and audience verification, measurement and insights (including multi-channel attribution) and the impact these things have on buyers’ investment in display advertising.

Key Findings
Forrester’s study yielded the following key findings:

• Display advertising continues to mature, with adoption and investment on the rise.
• A lack of measurable results and a dearth of media and audience insights hampers further investment.
• Current technology point solutions address these challenges in a limited or disjointed way.
• Marketers would benefit from a robust, flexible suite of technology solutions.

Presenter: Steve O’Brien, VP, Marketing, Adometry, Inc.

Guest Speaker: Joanna O'Connell, Senior Analyst, Interactive Marketing, Forrester Research

Click Here to watch the recorded version of this webinar.

Click here to download the slides from the webinar.