Trada’s CEO Niel Robertson (@nielr1) wrote two guest posts this week for AdExchanger and GigaOm. He was also selected for Boulder County Business Report’s Forty Under 40. Try not to congratulate him though because the Scottish have naturally larger heads as it is.
Niel’s article for AdExchanger focused on what he calls the Drive Time Web.
Driving between Boulder and Denver the other day, I did something completely old school – I turned on the radio. It was during rush hour, and I couldn’t help but notice the continued emphasis on the ad-free drive-time show (yes, the irony didn’t escape me they were advertising no ads). I started to think about the pros and cons of ad-free time segments on the radio, and it dawned on me this might apply to the web as well.
One of my predictions for this decade is that content monetization is going to go through a renaissance as content sites have an ever-increasing number of ways to monetize. To date it’s been display ads and a cost-per-impression (CPM) model. Now sites can monetize with affiliate links, real-time content ads, display ads, in-text ads, in-context stores (daily deals on your site), sponsorships and sponsored Twitter feeds. The number of ways content sites can generate money will only continue to expand as the amount of content on the web expands.
I’m going to take a guess that drive-time radio was designed to trade-off ad dollars at the highest trafficked time of the day with the cost of acquiring new listeners at those times. If you hear one hour of uninterrupted great music on your drive, you’ll likely tune into that radio station later and suffer through some ads in off-hours. Websites can (and perhaps should) work exactly the same way.
For GigaOm, Niel wrote on Jobs 2.0: Data Centric Jobs for Gen Y:
While some may say that Generation Y are slackers, I think they’re just waiting around for the next crop of interesting jobs. Well, good news, 20-somethings, the new fall line of jobs is here! You’ll note that most of these jobs center around one thing: data. Gen Y (which I prefer to call Gen A, for “Analysis”) will be the first generation entering the workforce that have the skills to apply measurement and analysis to everything. They’ve been counting calories on their iPhones, anxiously trying to raise their Klout scores and driving their follow counts on Twitter. Data is the new black.
Niel further details out some of those potential jobs including content monetization money manager, crowd manager, personal trainer 2.0 and Webmaster 2.0.