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delivering the customer experience 06 white paper Marketers Know They Aren’t Calculating Digital Advertising ROI Correctly But until now, their hands have been tied. M arketers don’t need to change the way they think. They just need new digital marketing technology and mea sures that conform to the way they think. Thankfully, while the old model for measur ing the return on investment (ROI) from digital advertising falls short, a new model is gaining momentum. Digital marketing continues to incur an enormous amount of growth. The prolif eration of new digital channels, compel ling websites and countless new oppor tunities makes it difficult for marketers to keep pace – and even more challenging for marketers to reach and engage their audience. Large brands and direct response marketers are therefore constantly seek ing the right mix of channels, sites and interesting creative to engage their audi ence as effectively as possible. Yet when a digital advertising campaign is success FigurE 1 The “last ad” model miscalculates ROI by attributing credit to only the last click before a conversion. The model assumes the consumer doesn’t see or click any other ads along the way. ful, they can only credit one of the many touch points their audience experienced. Typically, between 93 percent and 95 percent of audience engagements with online advertising receive no credit at all when advertisers review the ROI on their campaigns. Although the universe has been getting bigger, marketers have been forced to view it through a very limited by Robert Haskitt, Microsoft ROBERT HASKITT, director of marketing at Microsoft Advertising, has been introducing marketers to Internet-based advertising solutions for 10 years. As a marketer who both uses and promotes advertis ing ROI solutions, he is an advocate for the emerging Engagement Mapping model because it brings a much higher degree of transparency, accuracy and flexibility to digital advertising. Prior to joining Microsoft, he was a marketing strategist at aQuantive. lens. And this limited view has constrained their vision, creativity and success. The reason for this misalignment is that the industry has been using a method of ROI measurement that only attributes credit for advertising effectiveness to the last ad clicked or viewed prior to a cus tomer conversion (Figure 1). The “last ad” standard forces marketers to pay attention to a small set of data and ignore key infor mation required to properly calculate the ROI for each site and channel. In addition, it goes against conventional marketing wisdom, and therefore stands in the way of adoption, creativity and the innovative evolution of digital advertising by market ers who are seeking better results. p156 Perform: The Marketing 2.0 Standard PME_Ch6_final.indd 156 5/1/08 4:18:45 PM www.revenuetoday.com/perform/XXXXX www.perform.mThink.com/XXXXX www.perform.mThink.com/30154 Site A FigurE 2 Site B Site C Site D • Marketers need to attribute credit to multiple sites and engagements, not just the last one. • Marketers need to have true transpar ency and the flexibility to weigh the importance of influential factors such as ad size, frequency and rich media interac tions in their ROI calculations. • Marketers need to be able to easily adopt and transition to the new model from the old. Site E This is the way it really looks for an advertiser as people spend more time online. People interact with many channels: they see video online, interact with rich media, and view and click on display and search ads. THE ‘LAST AD’ MODEL VS. CONVENTiONAL WiSDOM To date, the industry’s online ROI measure ment models, including click-through rates and the “last ad” standard, have been significantly out of alignment with basic marketing fundamentals. For example, a critical marketing concept, the sales funnel, is completely disregarded by the “last ad” model. The idea is simple: different market ing messages play different roles for con sumers. Some marketing messages drive awareness; others close the deal. In the off-line world, broadcast media have typi cally been at the top of the funnel, while other channels, such as direct mail, have been used to induce a purchase. In the last 10 years, online media have moved from being strictly a direct response medium to becoming a multifaceted channel with the potential to reach consumers across every point in their journeys. The “last ad” model is exceptional at measuring ROI if your only goal is to measure the bottommost touch point in the sales funnel. In this regard, our current conversion attribution standard is sadly out of touch with the reality of online marketing today. Based on only a single engagement, the “last ad” model forces marketers to place greater importance on the aspects of their advertising that support the model than on those that truly support advertis ing success. Given all of these factors, it’s fair to wonder why the industry persists in using the “last ad” model. The reason is that until now, digital marketing technologies enabled only a limited set of capabilities and measures of digital media. Marketers, however, need to be able to calculate the ROI on all of the exposures and interactions the audience experi ences on each media owner’s site – not just the last one (Figure 2). The result of this more comprehensive calculation is a measurement known as engagement ROI. Advanced digital advertising technologies are now making it possible to calculate engagement ROI (see “Factors That Impact Engagement ROI,” on the following page). ENgAgEMENT MAPPiNg: YOu CAN gET THErE FrOM HErE The new model enabling the calculation of engagement ROI is called Engagement Mapping. It’s based on the following three simple premises: Passive Events Last Ad Engagement mapping is made possible by back-end technology that analyzes many factors behind the scenes. In the new model, key influential factors can roll up into a straightforward site-by-site analysis to succinctly summarize engagement ROI. Factors that can be taken into account include frequency, ad size, recency, media type, interaction and order of engagement. By considering these experiential fac tors, advertisers will be able to learn from previous campaigns and fine-tune their media strategies while their campaigns are still in progress. Marketers can then manage their digital media investments by channel, placement, site and media type (among other factors). WEigHTiNg FACTOrS The Engagement Mapping model allows you to easily customize your application of the model to the factors you deem important for measuring your specific cam paign (Figure 3). The various factors can be weighted differently in your engagement ROI calculation. For example, passive events Advanced Model Text Link Display Flash and Java Rich Media Video Active Events Clicks RM Interactions FigurE 3 Engagement Mapping is a flexible attribution model that provides greater transprency and enables advertisers to include many factors in their engagement ROI calculations. www.perform.mThink.com p157 PME_Ch6_final.indd 157 5/1/08 4:18:47 PM white paper white paper 11% 2,000 factors That Impact Engagement ROI 6% 100% 0% 4% 1,600 conversions 1,500 FigurE 4 E-Map Order Recency Reach Creative Interactions 0 Ad Size 500 Engagement Mapping is a transparent model that enables advertisers to determine and view how each factor impacts their ROI calculation. Here’s an illustration of how those factors enable credit for conversions to be attributed more relevantly and comprehensively under the new model. (like viewing a text link or a display ad) can be weighted one way, while active events (like clicks and rich media interactions that convey a higher level of interest) can be assigned different values. If you aren’t sure how much weight you should assign to a factor, you can simply choose a setting that closely reflects your marketing objectives from a collection of default settings. PrACTiCAL APPLiCATiON OF ENgAgEMENT MAPPiNg: SiNgLE SiTE ExAMPLE Engagement Mapping isn’t just conceptual. It’s a model that you can begin to apply practically today. When the model is applied, each exposure and interaction can be attrib uted a portion of the credit for a conversion. Here’s a hypothetical example of how Engagement Mapping attributes credit differently (see Figure 4). Let’s say you have a site right now that gets 1,000 conversions under the “last ad” model. When frequency is figured into the model, it actually boosts the attribution number up to more than twice as many conversions. So your number of conversions credited to the specific site has jumped up to 2,000. But it turns out a lot of these frequent impressions are not very large. When you factor in ad size, it turns out that a high number of exposures were actually small text links. By factoring in ad size, the num ber of conversions attributed to the specific site is revised downward to 1,400. Here are some important things to take into consideration when calculating engagement return on investment. Frequency. How many times did your customers see an ad across multiple sites and channels? -30% Frequency 1,000 -14% 1,000 conversions Last Ad delivering the customer experience 06 Continuing down this path, the Engage ment Mapping model also accounts for creative type, recency and order. The model ends up attributing 1,600 of your conver sions to this one site. Thus, when you evalu ate the sites that produced the greatest return on your media investment, this one site looks very different than it did when you used the “last ad” model. By being able to weigh the importance of various factors, you can put a greater focus on those that matter more. Thus, if you’re a direct-response marketer, you might want to place more emphasis on factors like clicks and recency, but if you’re a brand marketer, you might want to give more credit to more passive engagements – such as video views and ad size – even if there’s no interaction. Or your objective might lie somewhere in between. Flexibility and transparency in the way you measure each factor are important components of the new model. As you get more familiar with the new model and how each factor affects your results, you can begin to test your well exercised intuition. For example, most marketers that employ rich media do so because intuitively they know that it’s a strong way for the audience to experience their product or brand. The new model gives advertisers the ability to make specific adjustments, and set the dials to reflect the impact of the factors they believe have the greatest impact on their engagement ROI. Ad size. Which ads have a greater impact when you factor in their size? Should a bigger ad get more credit than a small text link? Recency. How much should impact diminish as engagements move fur ther away in time from the action? Was it the first exposure that caught the audience’s attention? Media type. Is a rich media ad more effective than a skyscraper banner ad? How should video be weighted versus display? Interaction. How much time is a user spending interacting with a rich media ad, or visiting your website before seeing a banner ad and click ing on it? Order of engagement. What if you determined that order matters, such that the first ad gets most of the credit or the last ad gets less, or vice-versa? STAY ON COurSE; gO A LOT FArTHEr Great marketing comes from a healthy combination of right- and left-brain think ing. Once marketers move beyond the “last ad” measurement model, they’ll bene fit from greater flexibility and transparency. And they’ll be free to combine attention getting creative with smarter buying practices that achieve awareness goals and take full advantage of the infinite opportunities presented by digital media. Your campaigns will likely garner more attention once you can measure and justify the use of a greater variety of for mats, sites and channels. n p158 Perform: The Marketing 2.0 Standard PME_Ch6_final.indd 158 5/1/08 4:18:50 PM