Jan 27

Hard Rock Hotel Chicago

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I visited Chicago in early October 2011 as I began my new job as Vice-President of IAB Canada by attending the annual Borrell Local Mobile Advertising Conference. The Hard Rock Hotel is located on North Michigan Avenue 2 blocks from where my conference was held. I was lucky to be able to catch an earlier flight so I had time to visit the hotel on my way from the Airport to where my conference was held. I took plenty of pictures of the place from outside and in, as well as bought t-shirts of my family and friends. Continue reading →

Jan 27

Ad revenue forecasting – Traffic forecasting explained

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For this exercise, I’ve taken numbers from one website I used to manage as an example. You’ll see I’ve filled in on the horizontal months. They actually start at December 2005, but for the sake of clarity I’ve only shown here 2009 through to the end of 2014. In other words I’ve taken the last three years’ worth of data for forecast the next 2. Ideally, you should try to go as far back as you possibly can, even if it’s only one month here and there – it’ll give you more background on which to rely. Continue reading →

Jan 26

Last Week in Mobile Marketing

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Sam’s daily shared mobile marketing and tablet news articles and retweets Continue reading →

Jan 25

Last Month in Real-Time Bidding news

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Sam’s daily shared real-time bidding, demand side platform and ad trading desk ecosystem news articles & retweets Continue reading →

Jan 24

Last Week in Traditional Media

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Sam’s daily shared traditional media news articles & retweets Continue reading →

Jan 24

Online advertising targeting – retargeting

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Retargeting is a tactic by which an advertiser can try to close an unfinished sale or non-transacted shopping basket. This is the ideal tactic by which to offer an even better deal to a still unconvinced potential client, or to upsell a recent buyer Continue reading →

Jan 20

Ad revenue forecasting – requirements

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This forecast method is better than others for a number of reasons outlined at the end of this post. But rather than jump ahead to the answer, see next what level of granularity of data you’ll need to build your forecasting tool internally and try to figure out why this method could be better than others. Continue reading →