intent
godaddy superbowl ad spending led to sharp spikes in search volume every February for the last 5 years straight. Other advertisers who spent on Superbowl ads have similar lift in search volume from the TV advertising.

Source: Google Insights for Search
If you believe that lift in search volume indicates interest and intent and if you consider that each 30-second ad cost $3 million in 2009 (WSJ: NBC Super Bowl Ads to Cost $3 Million) and assuming GoDaddy’s ad did not air more than once, they spent $3 million to get their ad in front of a TON of people and to get people’s attention. Those people who saw the ad and were interested enough to take action went online and searched for more information by typing godaddy into search (see lift in search volume during February of each year) .
If we assume that it took $3 million to generate a certain lift in search we can use multiples to calculate the media dollar equivalent of any lift in search — for example, if godaddy spent $3 million to get X lift in search, then a 2X lift in search would have required $6 million of media (in a very very simplified back of the envelope estimate; it usually would cost more than 2x to get that lift) — i.e. it would have cost at least $6 million in superbowl ad media dollars to achieve a 2X lift in search volume.
So, if we now compare search volume on megan fox side by side with godaddy search volume, we will see that in Feb 2009 Megan Fox was indexing at 21 while godaddy was indexing at 12 (this is normalized to a scale of 0 – 100). So search volume on megan fox indicates she was getting the equivalent value to $6 million of super bowl media ad spend – FOR FREE — roughly 2X the search volume of godaddy in the same time period.

At the peak of her search volume in June 2009 (corresponding to the release of Transformers 2: The Revenge of the Fallen), she was indexing at 100 and godaddy at 7. This is 8x the index of godaddy of 12 during the Feb 2009 time period when they were airing their superbowl ads. This implies that she was getting the search volume that would have required the equivalent to a $24 million super bowl ad spend to achieve — again for FREE!

If you want to research futher, use the following link to bring up Google Insights for Search to see relative search volume
In February 2008, Megan Fox indexed at 8 and GoDaddy at 8. In 2008, Superbowl ad spots cost only $2.7 million — so she had the equivalent search volume as a paid advertising spending $2.7 million on a Superbowl ad.
In 2007, Godaddy indexed at 6 during Feb 2007 Superbowl. Megan Fox indexed at 43 during the July release of the first Transformers movie — this is an 8X multiple on Superbowl ads that cost $2.6 million — or $21 million
So the perfect “product placement” of Megan Fox in the two Transformers movies garnered her nearly $50 million worth of advertising based on search volume equivalency. This does not even take into account her sustained and increasing search volume, compared to most advertisers’ search volumes which drop right back down to pre-ad levels once the ad is finished airing.
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targeting based on a picture of their intent – by seeing what sites they visit; but this is limited to the time period relatively near the time of purchase – the length of time depends on the product (longer research period for larger ticket items)
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it’s a simple matter of supply and demand. Let’s do a thought exercise.
1. eMarketer forecasts that retail e-commerce will grow roughly 10% per year for the next few years. This means that the total “pie” of people spending online will only grow by an average of 10% per year. Note that sales is (or should be) the goal of advertising. So that’s why we are looking at e-commerce sales and comparing it to online advertising because both are completed in the same medium and we can eliminate cross-media uncertainties and breakdown of tracking.

2. online advertising is still exploding with trillions of pageviews per month, thanks to social networks which throw off ungodly numbers of pageviews when people socialize with others. The Compete chart below shows the top social networks which rely on banner advertising (impression-based advertising) to make revenues. Notice that just Facebook and Myspace alone generate 115 BILLION pageviews a month. And if you consider that Facebook shows 3 ads per page, that would be 250+ BILLION impressions per month served by Facebook alone. Furthermore, the rate at which pageviews grow is 250% – 1,000% per year, depending on the site in question.

3. In the online medium, we have end-to-end tracking from the advertising (banner impression) through to the sale (e-commerce). The banner is served (impressions); a percent of users click on it to go to a site (click through rate – CTR); a percent of those make their way through the site and end up completing a purchase online (conversion rate). Those users who are looking for something and who are considering buying something will be online searching and researching. Those are the ones who are likely to click on banner ads, compared to others who are online to do something else, like write email, socialize with friends, etc. And if the purchase is their ultimate end-goal (to make a purchase) we have a farily reliable indicator of the growth in not only such interest but also the completion of the task — namely, e-commerce, which grows at 10%.
4. Now, if the number of people who will click grows that 10%, but the number of advertising impressions grows at a slow 250%, the ratio of clicks to impressions drops dramatically because the denominator is growing 25X faster than the numerator. Serving more ads simply will not get the amount of e-commerce to grow significantly faster. The point of diminishing returns has been reached and passed, so incremental ad impressions are ignored and useless. The number of people who will end up buying will not increase significantly faster. And given the tough economic climate the amount of sales may actually decline before it goes up again.
5. If we generalize this back to all retail commerce, it grows at an EVEN slower pace than ecommerce. When you compare this to the dramatic increase in ad impressions and the shift from traditional channels (TV, print, radio – whose impressions and audience sizes are dwindling) to online channels (portals, news sites, social networks – whose impressions and audience sizes are skyrocketing) again the ratio of sales to available advertising drops dramatically. This is a measure of the effectiveness of advertising (sales divided by advertising spend). It was already small — it sucked — and it will get dramatically smaller soon — it’ll suck more soon.
A way to mitigate this “sucking” is to peg advertising expenditures on a success metric which is an indicator of user intent — cost per click — versus a traditional indicator of reach and frequency — ad impressions served — which from the above is NOT an indicator of consumers’ intent to purchase. This way, advertisers only pay when someone clicks. Those “someones” click when they are looking for something and are more likely to complete a purchase than those who don’t click.
“CPC banner advertising” anyone?
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