Category: median vs mean

  • Median vs Mean Part 2: CUME vs GRP in offline media and what it means for internet marketing

    One thing has been true for as long as marketing has been around: It doesn’t matter how good your ad is if no one sees it.

    Dave Goldberg (CEO Surveymonkey) gave a great talk at an event I was at recently and shared an anecdote about MTV’s audience on 30min shows vs 5min music videos that is worth repeating and set me thinking a lot more about reach and frequency in internet marketing.

    GRPs vs Cumulative Audience Rating

    In television measuring how many people see your ad is done using set top boxes and often a combination of “gross rating points” (crudely: what % of the possible TV audience sees a given show, detailed description linked below) and cumulative audience rating (similar but what % watched a show in 15minute segments of that show).

    In the 1980s MTV did great on GRPs because people would tune in to catch a 5minute video. The problem for MTV came when cumulative audience became a big measure in the 1990s, people just weren’t sticking around for 15minutes. If you followed a Stone Roses track with Madonna the two audiences were not the same and so the stone roses people switched off and by the time you reached the break (where the ads which funded the show were) MTVs audience was a fraction of it’s GRPs because the cumulative audience (who watched for a full 15minutes up to the break) was small since you just don’t like every video in the hot 40.

    The following slide (from this presentation: http://www.scribd.com/doc/3046688/ANALYSIS-Audience-Cross-Rating) shows even today how rapidly the audience figures drop off with time on a given channel (MTV, MTV2 and CBS).

    image

    With 30minute shows like Beavis and Butthead MTV managed to get an audience that stuck around through the commercial break giving the ads greater exposure and making marketers really happy. Not only that but their audience seemed to love them too and their total GRPs went up too which led in many ways to the Hills etc… etc… and a lot more revenue for MTV.

    MTV optimized to drive up their median user by changing their show format. They did not optimize to drive up their mean user by making their 5minute videos so perfect that the folks watching 1hr a day would watch 2hrs. This was a great decision.

    So how does this apply to Internet marketing

    In display media for internet marketing people buy impressions but this is really nuanced. You should not be just buying “impressions” you should be focusing hard on what the reach of those impression are and ensure whoever you buy from gives you a frequency cap. Below is the distribution of visits on my paper airplanes site in the last 30days.

    image

    As you can see if you want to hit 160k people with my site you can BUT after the first impression you will only be reaching 90k people and by the 4th impression you will only be reaching 54k people. I could make total delivery of impressions huge while still only giving you a small reach by not giving you the first 4 impressions. Frequency caps matter a lot.

    Conclusions

    In order to maximize the chance of your ad doing well you have to maximize it’s audience.

    Understanding the data you are using to determine reach is therefore very very important.

    Anyone who can offer great reach and high frequency will make a killing in advertising sales and THAT is a challenge of optimizing for the median user (in paper airplanes case the person who see 2 page views) and not the mean (who in paper airplanes sees 6 page views).

    Planned posts:

    • The key to understanding your website
    • Diminishing return on user value against page views per user
    • Cume vs GRP in offline media and what it means for internet marketing
    • How to optimize for the median

    I hope you stay with me and read them all 🙂

    References:

    Cumulative Audience Rating: http://www.answers.com/topic/cumulative-audience-rating

    Cumulative Audience: http://www.answers.com/topic/cumulative-audience

    Gross Rating Point: http://www.answers.com/topic/gross-rating-point

    Presentation on MTV time on channel: http://www.scribd.com/doc/3046688/ANALYSIS-Audience-Cross-Rating

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  • Part 1: Median vs Mean – the key to understanding your website

    My latest hobby horse is focusing on the basic difference of median vs mean. My belief is that for content based sites who make their revenue from ad sales (like YouTube, Yahoo, Gawker, Newpapers etc…) a focus on optimizing the median page views per user is far more important than optimizing to increase the mean. It is worth noting that sites like Google (where the goal is to get you to leave the site by clicking on a demand fulfillment ad), eBay or Amazon this is not true.

    I am going to try and post a number of articles with data from my own sites that show this but I am going to start with one simple post that quickly gives two examples of median vs mean page views per user and resulting revenue per user.

    PaperAirplanes.co.uk

    My AVERAGE (mean) page views per user on paperairplanes.co.uk is 4 (it’s gone down a bit since I’ve focussed a lot on videos) and it’s pretty stable.

    image

    My median page views per user is only 2, half the mean:

    image

    CocktailMaking.co.uk

    My AVERAGE (mean) page views per user on cocktailmaking.co.uk is 8 (it’s gone down a bit since I’ve focussed a lot on traffic generation in the “cocktail name” space where people come in, view the cocktail then leave) and it’s pretty stable.

    image

    My median page views per user is only 1, 1/10th the mean:

    image

    Revenue per visitor

    Paper airplanes has a revenue per visitor of 2.1x Cocktail Making and hopefully through the coming posts I will be able to prove to you that this is due to the fact cocktail making has a lower median page views per visitor than paper airplanes even though it’s mean page views per visitor is 2.5x that of cocktail making.

    Perhaps this is all very obvious to you and if so I apologize… don’t read the series but if this is all so obvious why do none of the big analytics providers include median by default into all their metrics?

    Planned posts:

    • The key to understanding your website
    • Diminishing return on user value against page views per user
    • Cume vs GRP in offline media and what it means for internet marketing
    • How to optimize for the median

    I hope you stay with me and read them all 🙂

    Get my marketing cheat sheets at Click Here