Linear TV vs. On-Line Video Advertising — Which is More Effective?

April 5, 2010

Did You Know That:

  • On-line video ad spending grew +41% in 2009 — even during a down advertising year?
  • 72% of all internet users in the U.S. viewed on-line video last year?
  • More U.S. consumers watch video on the web than watch recorded TV on DVR’s?

All of this adds up to something very interesting: On-Line Video advertising is growing like a weed. Which raises another question: how does On-Line Video advertising work versus Linear TV advertising? 

On-Line Video Ads -- How Do They Compare to Linear TV Ads ?

My colleague David Kaplan of Nielsen IAG (disclosure: I work for Nielsen) partnered with Beth Uyenco, Global Research Director from Microsoft, to compare the effectiveness of Linear TV advertising and On-Line Video advertising in a recent presentation to the Advertising Research Foundation (ARF). 

Research Approach — What Was Measured

Kaplan and Uyenco used Nielsen IAG’s U.S. on-line panel to measure TV and web video advertising data from November 2007 to May 2009, across 238 brands, 412 products, and 951 advertising executions.  For each ad, they measured the same effectiveness metrics: general recall, brand recall, message recall and likeability. Key measurement metrics were identical across the two mediums. 

On-Line Video Advertising -- Why Is It More Effective ?

Key Learnings — Linear TV vs. On-Line Video

1.  On-Line Video Outperformed Linear TV — Remember that this was an “apples-to-apples” comparison which compared the exact same creative execution across the two mediums. On-Line Video scored higher than Linear TV ads, on average, for: 

  • General Recall:        65% vs. 46%
  • Brand Recall:           50% vs. 28%
  • Message Recall:      39% vs. 21%
  • Likeability:               26% vs. 14%

2.  The On-Line Video Advantage was Largest Among 13-24 year olds — Among younger consumers, On-Line Video outperformed Linear TV advertising by greater than 2 to 1. On-Line Video’s advantage cut across all age groups, but was smallest among  50+ year olds. 

3.  Re-purposed TV Ads Outperformed Web Original and Flash Animation Ads — This was one of the most interesting learnings of the study. Even when controlling for prior TV ad exposure, a re-purposed TV ad shown on web video performed better than ads created specifically for the web. What does this say about Marketers understanding of digital creative ? 

4.  Linear TV + Web Video Ads are More Effective Than Linear TV Alone — Consumers exposed to ads in both mediums had higher general recall, brand recall, message recall and likeability than consumers exposed to TV alone. Once again, the data clearly shows the advantage of a cross-platform, integrated marketing approach. 

Why Is On-Line Video More Effective ?

There are a number of reasons which could explain On-Line Video ad superiority: 

  • Higher Program Engagement – As I’ve discussed in a previous blog post, Why Your Brand Should Understand TV Program Engagement, research shows that the more engaged consumers are in a program, the more likely they are to remember the ads in the program. Nielsen IAG research shows that on-line video program engagement is +13% higher than the broadcast TV primetime norm. So, this higher engagement naturally drives higher ad recall.
  • Inability to Skip Advertising – If you’ve watched any On-Line Video, you know that you can’t easily skip the ads. I think the impact of DVR ad skipping on ads is over-rated, but the lack of DVR like ad skipping has to benefit On-Line Video ads.
  • Reduced Ad Clutter — On-Line Video has about 1/2 the ads per hour than regular network TV. Various research studies over the years have shown that there is a small, but significant, impact of clutter on advertising effectiveness.
  • Presence of Companion Ads — On-Line Video ads are more likely to have companion ads in the same program. The presence of companion ads increases ad effectiveness versus a single exposure alone. However, even when they controlled for a single ad exposure, On-Line Video still significantly outperformed Linear TV.

Now, before you think about running out and building your next campaign around On-Line Video, consider this: the average consumer spends only2% of the time viewing web video as they do TV. The practical implication of this is that most brands can’t deliver a high reach media plan with web video alone. 

But the facts remain: On-Line Video ads are more effective than Linear TV ads, especially among 13-24 year olds. As well, On-Line Video ads work synergistically with TV, and perhaps best of all, TV ads can be re-purposed on-line and actually score better than creative that’s been created specifically for the on-line medium. 

Can It Last ?

Some of the factors contributing to On-Line Video’s advantage, such as higher program engagement scores, are unlikely to change anytime soon. But others, like reduced ad clutter, will probably erode over time. Content providers are not making much money with their content on-line, and some are experimenting with more ads per hour. So, any advantage due to less clutter is likely to be short-lived. 

Nonetheless, with it’s higher performance versus Linear TV and spectacular growth rates, I think it’s only a matter of time On-Line Video ads become a signficant part of every smart CMO’s marketing mix. 

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Learning From the Dynamics of Viral Marketing

January 25, 2010

In what context do viral marketing strategies work? How do on-line product recommendations develop, multiply, spread and ultimately, dwindle and die? And, can Marketers influence any of this?  

These were important questions posed by Leskovec, Adamic, and Huberman in their 2008 study “The Dynamics of Viral Marketing.” This is one of the few studies I’ve seen to actually study how on-line recommendations grow virally and how this growth impacts purchase behavior throughout the viral network.  

Viral Marketing -- When and Where Does it Work?

 

Admittedly, the study had limitations, notably that it was only four categories, just measured on-line viral activity, and included a discount incentive to help motivate purchase. But, even with these limitations, it uncovered deeper insights into the systematic patterns in knowledge sharing and persuasion online—all of which are of high interest to Marketers.  

What Did the Study Entail?

Lescovec et al. examined an online recommendation network composed of 4 million people who made 16 million recommendations for 0.5 million products. Each time a consumer purchased a book, music, or movie, he or she could  send e-mails recommending the item to friends. The first person to purchase the same item through a referral link received a 10% discount.  

What was Measured

  • When and at what price a product was purchased
  • If the product was recommended to others
  • Whether the recommendation resulted in a subsequent purchase and discount

They then modeled the effectiveness of recommendations as a function of the total number of previously exchanged recommendations.  

Recommendation Networks Grow Slowly Over Time.

 

Important Viral Network Learnings & Insights

Finding #1:  Consumers recommended a large number of products to the same group of people. As a result, recommendation networks became heavily locally-based. For example, in the DVD recommendation network there are 182,000 pairs that exchanged more than 10 recommendations.  

Consumers Tend to Recommend Products to the Same People

 

Finding #2: Recommendation networks centered on a specific product category. That is, the people tended to focus on recommending a particular product category and thus created a “community of interest.” Having said this, most all networks shared recommendations for all types of products.  

Finding #3: Trust, influence, and perception of “spam” affected purchase. As people exchanged more recommendations, the likelihood they would purchase the product increased due to a growing foundation of trust. However, purchase likelihood increased, peaked, and then fell as consumers received additional recommendations for a specific product. A few recommendations built credibility; too many appeared as “spam.”  

Finding #4:  Most recommendation chains didn’t grow very large. In fact, most terminated with the initial product purchase, and even the largest connected networks were very small as a percentage of the total population.  

Recommendation Chains Don’t Typically Grow Very Large

 

Finding #5: 20% of recommendations accounted for 50% of sales. This is not far from the usual 80-20 rule, where the top 20% of products account for 80% of sales.  

What are the ‘Viral’ Implications for Marketers?

1. Identify the “Amplifiers.” Given that 20% of recommendations generate 50% of sales, it’s key to figure out whom the amplifiers are and focus your efforts on them.  

2. Determine Where the “Amplifiers” Congregate. Where do they exchange product information? On what platforms do they consume media? Web behavior can be linked to off-line purchase panels to quantify the effectiveness of recommendations (see “What Really Drives Web Advertising ROI”).  

3. Take Online Recommendation Networks to the next level Through Social Media Marketing. Marketers should explore development of models to measure recommendation systems on Twitter, Facebook, Foursquare, and the larger online arena. Through broader web 2.0 outreach, marketers can quantify consumer engagement on recommendation networks by volume, reach, tone, and source.  

Marketers can optimize paid media and earned media with viral marketing.

 

4. Be Wary of Creating “Recommendation-Fatigue.” A fine line exists between trust and influence in recommending a product and what is widely considered “spam.” Consumer engagement via any online channel must be done with careful consideration of earned media and buzz promotion.  

Viral Marketing: Limitations…

What’s not yet so clear from the research is how to minimize transmission “breakdown” – e.g. how do you minimize the likelihood that a product recommendation is the last one. As the research showed, most viral networks don’t grow very large. Marketers will only invest significant money if they can truly scale viral marketing programs.  

…And Future Opportunities

With the right tools and metrics, marketers can diversify their marketing plans to incorporate viral marketing strategies. The research clearly shows that viral marketing can build unique and niche recommendation networks, bolster consumer engagement, and lift sales.  

And as consumers continue to favor a digitally-based, social network-centric world, it’s critical that Marketers become more expert at viral marketing. Key to this will be identifying amplifiers, focusing on congregation points, leveraging social media opportunities—all without overdoing it. As importantly, Marketers must discover new approaches to spread and scale viral marketing just as effectively as the flu seems to proliferate every flu season.  

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The Future of Marketing & Me

September 24, 2009

This month, I started a new role with Nielsen IAG as Global EVP/GM for the Consumer Packaged Goods sector. IAG measures program and marketing engagement across the 3 screens (TV, Web, Mobile) in real time to help Marketers optimize their Marketing effectiveness and business impact. This role affords me the unique opportunity to sit at the forefront of the revolution that’s washing over the Marketing landscape, by working with CMO’s of major CPG companies to understand what Marketing really works and what doesn’t in TV, web, in-program product placement and cross-media in this new, complex and highly challenging world.

The Nielsen Company

The Nielsen Company

A sampling of the topics I’ll be focused on include:

  • Media Selection – How does selecting the right TV programs improve ad recall?
  • Ad Optimization – What is the optimal creative unit mix, copy length, wear-out, and rotation?
  • Program Environment– To what extent does the program environment drive ad effectiveness?
  • In Program Product Placement – How should Marketers evaluate product placement?
  • Cross Media Performance – What are the cross-media effects of ads?
  • Digital  & Social Media – How does advertising work in new media and in interaction with TV?
  • Real Time Impact – How do Marketers monitor ad performance in real time and adjust on the fly?

Blog Themes — Transformation & Impact

If you’re read any of my blog posts over the past few months, you’ve probably recognized at least two major themes:

  • The Transformed Marketing Landscape — We’re living through a transformational period in Marketing, the likes of which hasn’t been seen since the rise of TV and mass marketing. This change is driven by the fragmentation of media, increasing digitization of marketing, rise of social media, increasing importance of word of mouth from our social networks, and measurement tool innovation, among others. In short, Marketing has become a real-time, highly complex, more measurable, and conversational endeavor.
  • The Need to Demonstrate Real Marketing Impact — Marketing should build brand image, increase customer satisfaction, and deliver improved top and bottom line business results. Marketers were already challenged to show real value for their spending before the changes outlined above; their ability to deliver results in this environment is even more challenging. This means that, more than ever before, they need partners who can bring sophisticated measurement and analytical tools to bear on their most pressing challenges and leadership thinking as to what this means for the Marketing function.

The crushing economic crisis of the past 18 months has, in my mind, only accelerated the need for the Marketing function to become more transparent and accountable for real business results. CEO’s, CFO’s and shareholders are demanding it, either directly or indirectly.

How My New Role Impacts This Blog

  1. The CMO Perspective – I’ve written this blog from the point of view of a CMO. This perspective will continue, and in fact, will be enhanced as I meet and work with CMO’s from major CPG companies around the world. These conversations will enable me to bring an insiders view of the major issues and challenges facing Marketing organizations in this changing Marketing landscape, and share these perspectives as appropriate.
  2. The Marketing Effectiveness Perspective – The new role provides a unique vantage point: the ability to look across CPG companies, brands and geographies to understand what works and what doesn’t. I want to have more and deeper insight into what Marketing really drives business results than anyone else in this space.  This will allow me to provide new perspective and insight, while still respecting client confidentiality.

Going Forward

I’ll continue to write about important Marketing topics — both ones which benefit from my Nielsen perspective and those which don’t. This blog won’t be an ad for Nielsen or a thinly disguised vendor white paper. But it will frequently draw on Nielsen data to make what I think are important points about Marketing. And while it should go without saying, it most certainly won’t ever compromise the confidentiality of any client which does business with Nielsen.

Thanks for your support and readership. Keep the comments coming. I look forward to continuing to write about Marketing topics that are at the forefront of the Marketing transformation that is enveloping us and most importantly, how Marketing can build brand equity, customer satisfaction and revenue and profit.

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