demand
"We Are Not Prepared"

The Policy Center’s vice-president reports “”The general consensus of the panel today was that we are not prepared to deal with these kinds of attacks.”
The nightmarish scenario that unfolded represented a worst-case example. As former secretary of Homeland Security Michael Chertoff noted, many cyberattacks can be stopped if individual cell phone or Internet users simply follow the best practices and use the right tools. Similarly, another participant pointed out that private Internet companies would not sit idly by as a virus ran amok.
A collapse of power across the U.S. also only took place when the simulation brought in factors such as high demand during the summer, a hurricane that had damaged power supply lines, and coordinated bombings that accompanied the cyberattack and subsequent failure of the Internet.
Still, the war game highlighted crucial issues about the government’s own reliance upon communications that might go down during a real-life scenario. One of the biggest problems was how the President ought to respond to a situation that caused damage like warfare but lacked an immediately identifiable foreign adversary. Smaller-scale cyberattacks have already complicated real-world diplomacy, such as the alleged Chinese cyberattacks on Google and other U.S. companies.
Ares Defense Blog questioned a curious missing element from the simulation, in that there was no mention of what happened to phone or Internet service in the rest of the world. Surely a nation that decided to launch cyberattacks against the U.S. would take safeguards to protect its own crucial communication services, which would possibly help U.S. officials narrow down the list of suspects.
Another question seemed more mundane but equally important — how would the government activate the National Guard with cell phone service down?
The Pentagon’s DARPA science lab recently pushed for a “Cyber Genome Program” that could trace digital fingerprints to cyberattack culprits. But identifying whether a cyber attack came from individual civilians, shadowy hacker associations or government cyber-warriors has proven tricky in the meantime.
[via Ares Defense Blog]
The Grand Unified Theory of Marketing(tm) – Digital String Theory
Just as physicists and mathematicians have been searching for the grand unified theory of the universe, I have been looking for a way to tie together the disparate disciplines of marketing and advertising, a way to correlate metrics from different industries that interrelate with marketing (e.g. market research, Nielsen, etc.), a way to put all past theories in context and perspective (Michael Porter’s Five Forces, Net Promoter, etc.), and a way to explain marketing successes and failures — all in one.
My method is the scientific method – which is simply put doing experiments and making observations that either support or refute hypotheses.
A grand unified theory will also need to be able to take into account phenomena such as social networks, etc. What are the organizing principles of such; what is the value? Why now?
Using digital tools — such as search volume trends — we can start to correlate marketing spend effectiveness across different forms of media and also different advertising and marketing techniques. The example below compares eTrade and Drobo. What is most embarrassing is that eTrade, a well known brand from the first dot-com heyday, spent lots of money creating and airing TV ads which it hoped would go viral. They even paid for Superbowl ads for the last 2 years to promote the “eTrade talking babies” as you see from the 2 spikes in search volume during February of 2008 and 2009. However, when compared to Drobo (a startup company that developed a very easily upgradeable back up hard drive array), it is shocking to note that Drobo spent NOTHING on advertising and relied entirely on word of mouth and an awesome product. And their search volume is not only larger than eTrade but also sustainably larger despite zero advertising and media cost. The “totals” even suggest that the volume under the curve of Drobo is 8X (EIGHT TIMES) that of eTrade.
So if you consider that eTrade spent millions of dollars to create the TV ads and even more millions of dollars to air them on TV in order to drive interest, demand, and hopefully new customers, then Drobo can be considered to have gotten the equivalent of 8X more dollars in advertising and media – for FREE using techniques and channels other than TV advertising. So what does that say about the relative value of TV advertising compared to these other, newer techniques?

godaddy vs megan fox

Occasions and Holidays Drive Movie Box Office Sales, Not Advertising
Taking the top box office results for each of 52 weekends from the past 10 complete years (1998 – 2008; Source: IMDB.com) we see consistently that occasions like Valentines, Memorial Day, July 4th, and Thanksgiving show increased movie going activity. People have more time during these holidays to go to the movies and Valentines is a date+movie occasion. Also, during the summer, many people go to the movie theatre to escape the heat so there is an overall hump every year during the summer months — from Memorial Day to Labor Day.
People go out during Valentines, Memorial Day, July 4th, and Thanksgiving. And they still spend what they planned to spend — 2 tickets for movie — they didn’t buy 2 more tickets and see a second movie on the same date or holiday weekend. If they had several good movies to choose from (often, they don’t), they would choose to spend the finite dollars on the one movie they really wanted to see. The overall movie spending “pie” did not increase much, if any, year over year.
1998 $4,055,194,733 n/a
1999 $4,253,601,768 5%
2000 $4,496,554,005 6%
2001 $5,003,433,737 11%
2002 $5,489,974,199 10%
2003 $5,581,797,720 2%
2004 $ 5,697,299,530 2%
2005 $ 5,524,566,579 -3%
2006 $ 5,660,826,625 +2%
2007 $ 5,968,027,963 +5%
2008 $ 5,887,193,490 -1%
The chart below shows a red line which is the average of all 10 years. The 10 thin blue lines are the annual lines from1998 – 2008, inclusive and these are plotted as actual dollars. They come out right on top of each other.
Movie advertising, which runs into the hundreds of millions of dollars a year, has failed to noticeably increase the overall spending year-round or even during specific times. The chart below shows the differentials (difference between an annual line and the 10-yr average line). These all hover closely in the +$50M and -$50M band. The amplitude of the 10-yr average (red line) is larger than $50M in the summer hump — implying that the average change in movie ticket sales due to normal seasonality is larger than the change in amplitude caused by ALL movie advertising combined.
And the summer “hump” is due to actual demand (people going out to movie theatres, some to escape the heat) not due to advertising. The only effect of advertising is to share-shift from one movie to another — the total spending remains consistent and even seasonal variations are consistent — a “zero-sum game.”
All-Time USA Box office
Source: IMDB.com
| Rank | Title | USA Box Office |
| 1. | Titanic (1997) | $600,779,824 |
| 2. | The Dark Knight (2008) | $533,316,061 |
| 3. | Star Wars (1977) | $460,935,665 |
| 4. | Shrek 2 (2004) | $436,471,036 |
| 5. | E.T.: The Extra-Terrestrial (1982) | $434,949,459 |
| 6. | Star Wars: Episode I – The Phantom Menace(1999) | $431,065,444 |
| 7. | Pirates of the Caribbean: Dead Man’s Chest (2006) | $423,032,628 |
| 8. | Spider-Man (2002) | $403,706,375 |
| 9. | Star Wars: Episode III – Revenge of the Sith (2005) | $380,262,555 |
| 10. | The Lord of the Rings: The Return of the King(2003) | $377,019,252 |
| 11. | Spider-Man 2 (2004) | $373,377,893 |
| 12. | The Passion of the Christ (2004) | $370,270,943 |
| 13. | Transformers: Revenge of the Fallen (2009) | $367,614,540 |
| 14. | Jurassic Park (1993) | $356,784,000 |
| 15. | The Lord of the Rings: The Two Towers (2002) | $340,478,898 |
| 16. | Finding Nemo (2003) | $339,714,367 |
| 17. | Spider-Man 3 (2007) | $336,530,303 |
| 18. | Forrest Gump (1994) | $329,691,196 |
| 19. | The Lion King (1994) | $328,423,001 |
| 20. | Shrek the Third (2007) | $320,706,665 |
| 21. | Transformers (2007) | $318,759,914 |
| 22. | Iron Man (2008) | $318,298,180 |
| 23. | Harry Potter and the Sorcerer’s Stone (2001) | $317,557,891 |
| 24. | Indiana Jones and the Kingdom of the Crystal Skull(2008) | $317,011,114 |
| 25. | The Lord of the Rings: The Fellowship of the Ring(2001) | $313,837,577 |
The Perfect Babe – Megan Fox (pics)
Megan Fox – The Perfect Babe Product Placement



No, this post is not about Megan Fox. Well, yeah it is. But it’s about the MARKETING of Megan Fox.
Megan Fox has been around in films and TV since 2001 (see filmography below). But it wasn’t until 2007 when she starred in the first Transformers movie that she burst on the scene and became an overnight mega celebrity, especially online (see Google Search Volume chart). If you look at Ford’s search volume during the same period, there was NO lift in search that was detectable — there probably was some lift, but it is simply not detectable.
So Megan Fox went from very very little awareness to not only massive awareness, but also massive demand — people remembered her name and even took action (performed searches on her name). If some product placements would have had only 10% of the success of the “megan fox” product placement, they might actually justify the immense cost a bit better (millions of dollars paid by the advertiser to the movie makers to place products into the storyline of the movie).
And why is she “perfect,” in the marketing sense, of course? Her search volume has not only sustained but also continued to grow. She was not a flash in the pan that went away after the advertising/media dollars stopped or the public interest died off (see the snuggie and etrade search volume charts below).





transformer girl, second girl in transformers, other girl in transformers – Isabel Lucas





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