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ARF CEO Gayle Fuguitt set out to change the world and now she has done it. Three days in Manhattan last week at ARF’s annual RE:THINK event set the media-advertising complex into a whole new direction. Job fear. That was the secret to so much leverage. Archimedes is beaming down. The cream of the research cadre responsible for the intelligence gathering of the media-advertising complex (much more powerful than the military-industrial complex) heard that $100B was coming in over the next three years to either push them down under new people or be terminated.

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Though content marketing is now an accepted and widely adopted form of marketing, there continue to be a lot of nuances that people don’t seem to understand. One of these tricky nuances is the distinction between lead generation and demand generation. How are these things similar? How are they different? If you want to be successful in content marketing, appreciating the differences between them is key. Different types of content work better for different types of content marketing. A blog post can be a good device for either lead generation or demand generation, but which one depends on how (and why) you write it. Understanding and appreciating these differences is integral to having a successful content marketing campaign.

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We have been using a new tool called “Google’s Brand Lift solution” to answer exactly that question. This tool allows advertisers to gather brand metrics about YouTube ads in a matter of days in a controlled experiment setting. Thousands of advertisers across a variety of verticals have already used this tool on YouTube to test and optimize their video ads since we launched it in 2014. We ran some meta-analysis to look at the findings from the tool to help advertisers with practical tips. After analyzing around 50 campaigns from well-known Fortune 100 brands and category leaders, running on Google Preferred (some of YouTube’s most popular channels), we found that 94% of the campaigns drove a significant lift in ad recall, with an average recall lift of 80%. We also found that 65% of Google Preferred ads saw an increase in brand awareness, with an average lift of 17%.

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This year’s ARF Re:Think conference showed the industry how far research has come in impacting the overall media business model. In the days of spots and dots and proxy demographic targets, research played more of a report card role asking the eternal question: How well did we do within our limited universe of influence? But now, thanks to digital video across devices, big data, technological advances such as machine learning and qual/quant hybrid measurements such as neuroscience, we find that the business advancements of programmatic, cross platform and advanced TV require a strong, visionary research department role.

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