Converged Analytics for Media Effectiveness

Lately, I have been hearing the term “Converged Media” in connection with “media strategy.”

In preparation for an American Marketing Association Virtual Conference that I am speaking at on the afternoon of May 8, I focused on the act of becoming a “Data Connoisseur” through measuring digital media effectiveness. My presentation demonstrates how analytics can help us to be more effective in the use of paid, owned/earned, and converged media, together with programmatic media as part of an omni-channel media strategy program.

digital-marketing-trifecta
Figure 1: Digital Marketing Trifecta – http://www.titan-seo.com/NewsArticles/trifecta.html

Many marketers tend to focus on one type of media (paid, earned, or owned); it makes sense that “converged media” (using one type of media to prop up another) should be more effective in addressing the changing media consumption habits of online audiences than paid, earned, or owned media are when used in isolation.

For example, Ellen’s selfie (a group shot of actors Bradley Cooper, Brad Pitt, Jennifer Lawrence, and Meryl Streep, among others at the 2014 Academy Awards) was said to generate up to $1 billion in earned media for the Academy Awards sponsor due to the massive press and social media coverage.

ellen-selfieFigure 2: http://www.odwyerpr.com/story/public/2220/2014-04-09/samsung-won-1b-earned-media-from-ellens-selfie.html

Turns out Ellen’s selfie was a clever PR stunt planned in advance for Samsung by Publicis Groupe (Samsung is a Publicis client) and it rode to instant popularity because her selfie was timed and seeded on top of broadcast/cable media and distributed by social media, which was then quickly amplified by online press.

I suppose you can say that Ellen’s selfie was a sophisticated form of “paid media” that generated drastically more “earned media” shares and retweets, etc. than it would have had it been released at a different time.

paid-earned-owned-graph
Figure 3: www.imediaconnection.com/content/29345.asp

Paid media timing is a vital part of a converged strategy and it clearly takes some sophisticated smarts to both ideate and deploy that strategy in a successful way.

paid-earned-owned-bar-graph
Figure 4: Source: LinkedIn query formulated and run by Marshall Sponder

Using LinkedIn I created a query to look at individuals in the United States who work with various forms of media as well as those who work exclusively with one type of media (figure 4); I found most marketers tended to be focused on one form of media with some spill-over to another form (i.e.: roughly 75 percent of marketers who worked with paid media were exclusively focused on it, while the rest might work with owned or earned as well).

However, converged media appears to require an even more specialized focus or skill and there are far fewer marketers (probably in the 1:20 or even 1:30 range compared to the other types) who are dedicated to it.

share-of-device
Figure 5: Source: comScore Device Essentials, Monday 21 January 2013

Given the complexity of the Web and the multiple devices we use to read, interact, and process information, handling media attribution requires some specialized skills and many marketers simply do not have enough of them or the right set of platform tools and frameworks to assemble the right data in the right format.

social-media-valid-framework

Figure 6: Source: http://themorningsocial.com/2013/12/26/social-media-unlocking-business-performance/

Once the right cross-media attribution analytics model is selected and set up, you might end up with a dynamic display such as the one below (figure 7) along with programmatic buying and creative strategies that I will cover in a future column.

cross-media-attributionFigure 7 – Source: http://www.therainman.in/Cross_Media_Attribution.html

Related reading

Report: millennials are more likely to share an ad (but also to mute it)
A graph showing a small pile of money at one end and a larger pile at the other, with an ascending line connecting the two.
hp
A cartoon depicting web analytics. It shows a bubble with the letters WWW in it, surrounded by "click! click!". An arrow leads from the bubble to a notepad with graphs and charts on it. Another arrow leads to a chart on a piece of paper, with a lightbulb next to it, which leads on to a spanner with the words "tweak! tweak!" next to it. In the bottom left corner is a box with four bullet points in it: gather, report, analyse and optimise.