Direct from publisher vs. DSP
Thursday, September 23rd, 2010If you’re an advertiser accustomed to purchasing inventory from individual publishers or publishers with groups of sites, working with a network, exchange or DSP is an entirely different ballgame. For one thing, you’ll be looking at information for thousands of sites instead of just one, two or a dozen. So questions like, “What are your site’s demographics?” are unlikely to yield useful information. It’s a new advertising world, one where you can give your preferred audience requirements to the network, exchange or DSP and they’ll deliver impressions to users who meet your requirements wherever they exist online. This is instead of picking among several sites to see who has the best demographic profile and then hoping those users show up which is the way the direct buys work. So in this brave new world of aggregated advertising with unlimited reach and scale, what questions should you ask when trying to select the right online advertising platform to manage your media buy so that you get the best return on your ad spend?
Can you apply a universal frequency cap?
If you’re working with a number of different networks simultaneously, it’s possible that your ad may delivered more than the maximum number of times to a single individual browser than is really optimal. Even premium publishers sell their remnant inventory on the exchanges so your ad could turn up for a single user from both sources more times than you would have planned if you’d had a choice. De-duping your media plan has historically been one of the big efficiency killers in display adverting and reach extension programs. Managing your buy through a unified display advertising platform that allows for a universal frequency cap across all sources can help you reach your conversion goals in the most efficient manner.
What is the cost of the third party data you will be using to create my audience segments?
Unless a company has proprietary audience segments (which some do), they will most likely be purchasing data from a company like BlueKai, eXelate or AlmondNet. This data is not free, whether the company has a comprehensive agreement with one of the data companies that allows for the purchasing of data on platform or not. The cost will be built into the price somewhere and it may be beneficial to determine the cost of that data compared to a contextual system that targets specific keywords and key phrases or to a direct from publisher model that allows you to target certain sites or certain pages of sites.
Is the targeting used broad or narrow, optimized or fixed?
The direct buys were frequently limited in how much scale they could bring to the table. You bought a site or a network of sites and your ads ran there, usually within a channel or two as a rudimentary form of “targeting”. The new breed of aggregated campaigns can run as wide as the web so you need to stop and think about the approach, audience, content and scope of your campaign. Do you want to reach a specific demographic trait like the lucrative A18 to 49? Or is it more detailed like “Moms with Kids”? Or do you want to run on certain kinds of content like golf equipment or hybrid SUVs? These are fixed-type campaigns with a specific segment to reach. Do you want to limit your campaign to only those requirements or do you want to run wider to make some serendipitous performance discoveries? Running wide will often expose whole new pockets that perform for your brand. We often see with our learning impressions that there are great performing segments, in audience and content and behavior, that can be exploited online to exceed goals. These kinds of optimized campaigns run a parallel stream of wide learning media using an optimizer to maximize the learnings. Then use your platform to scale the learnings to hit that perfect balance of pacing, price and performance.
The new frontier in advertising means asking a whole new breed of questions on how your buy will be put together. To ensure that you are getting the most return from your buy, make sure you’re asking the right kind of questions so you’re getting the kind of data you really need to succeed in a real-time world.
