Undervaluing web audiences

ScaleFred Wilson posted yesterday about overcounting web audiences, highlighting a study on the topic put out by comScore.

The goals of comScore’s research, of course, is to make the case for panel data in accurately measuring audience. Fred’s conclusion is more general:

You cannot rely on your own analytics data. You need third party data as well. That’s not to say that third party data (primarily panel data) is perfect either. You have to triangulate between all the numbers to get a decent view of what’s actually going on.

Undercounting conversions

All of that said, I titled this post “undervaluing web audiences” because I think there is an interesting flipside to the big “audience is overcounted by 2.5x” message of the study. If audiences are overcounted by this much, and those overcounts apply to ad impressions as well as overall unique visitor counts (according to the study, unique ad impressions were indeed part of the analysis), then there is likely some depression of conversion rates in many of the cookie-based analytics tools.

I’m sure that some simple conversion paths are exempt from this problems: a click on a search ad that results in a conversion during the same browser session is unlikely to suffer from any of the cookie-related issues outlined in the study. More complex paths, however, such as those based on brand impressions, repeated display ad impressions or deferred conversions, are likely to be undercounted by the same measure as the unique audience.

The behavioral ad networks are known for the application of their technology to targeting. Another key asset, however, is the ability to measure the value and ROI of online brand advertising. They use their networks, based largely on cookies, to track the deferred conversions that prove the value of a brand impression campaign.

If they are undercounting these conversions by 2.5x, perhaps current impressions are undervalued such that a correction for overcounting of audience would need to be somewhat offset by an adjustment to effective CPM for the brand ads run on the site. In any case, I’m sure advertisers doing brand impression campaigns, as well as the ad networks, will want to figure out how to more effectively measure deferred conversions if cookies present such significant accuracy problems. It sounds like Tacoda might be using comScore’s data to try to adjust.

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Comments

  1. Craig Danuloff wrote:

    Interesting observation. Brand advertisers would clearly want to know that both the number of uniques was overstated and therefore the conversion number as a percentage of unique visitors is understated.

    I believe however that the more commonly quoted ‘conversion rate’ for ecommerce is based on visits, however, and therefore not changed. (The default conversion rate in Omniture and Google Analytics for example are based on visits not uniques.)

  2. David Brussin wrote:

    Craig,

    I’m sure you’re right about conversion rate as it applies to direct ecommerce site visitors who convert on their initial visit; the point I was trying to make is a bit different.

    Direct visitors who convert on a later visit could be undercounted (in terms of tracking the ad or campaign responsible for the visit) due to the cookie issues raised in the comScore study.

    Additionally, the direct (e.g., via a click) visit seems to be only part of the story. The indirect visit, such as a visit separated in time from the ad impression, is a bit harder to track. The ad networks have been measuring these “deferred” visits and other indirect conversions from brand campaigns by using their tracking cookies.

    I’m suggesting that the cookie issues described in the study could depress measurement of specifically these deferred and indirect conversions.

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