Ever wondered what your search results look like. What if you could make a cool movie about those results. Well Google makes that possible with this wonderful device. If you like the one I made then make your own by going here. It only takes a couple of minutes to set the parameters for the sampling.
I would be great to get more ads that looked like this. The big brands have the budgets all they need is the guts to let people create concepts movies that feature there product but also entertain the audience. Here are 5 examples of the commercial as cinematic art.
BMW and the Action Thriller – 9 Minutes 30 seconds long
Hovis Bread and a Historical Autobiography of England – 2 Minutes 3 seconds long
Coke Japan and Blade-Runner style – 1 Minute long
Interesting side note to this last commercial. I was working for the ad agency that made this piece and got to work with the guys that sold these amazing ad concepts to Coke’s head office in Atlanta. I think the budget was around $800,000 for this one.
Get back to work.
These are some fun comics to give you a smile on a hot summer day. I find that cartoons are a great indicator of cultural shifts, political information and a prity accurate indicator of where we stand in these days of instant information and little substance.
This is where I go every day for my fix of comic fun.
Hot on the heals of the “Old Spice” viral ad campaign comes the fun ads for the Honda “Jazz” car, The series come under the banner “Jazz packing”. They definitely have an Australian feel to them. Once again these pieces show that you do not have to spend a ton of money to get a fun idea on video.
Now that we got that out of the way, the commercial series created by Honda is titled, “How much ____ can you pack in a Jazz?” Each commercial picks a different – and hopefully funny – character and proceeds to see just how many people it can pack into the Jazz.
What is also interesting is that one of the ads is way more popular than the others, which shows that just because you have a viral ad does not make it a cool item that everyone wants to watch.
To date this one has over 89,000 views
To date this one has over 236,000 views
To date this one has over 52,000 views
To date this one has over 35,000 views
Here is a very interesting piece of research by HP that has the dubious tittle of “influence and Passivity in Social Media” and what is go on with twitter This is not a report for the faint hearted or for the die hard Twitterers and twitter-ets that post millions of short comments every day.
The ever-increasing amount of information ﬂowing through Social Media forces the members of these networks to compete for attention and inﬂuence by relying on other people to spread their message.
An evaluation performed with a 2.5 million user data-set shows that our inﬂuence measure is a good predictor of URL clicks, outperforming several other measures that do not explicitly take user passivity into account. We also explicitly demonstrate that high popularity does not necessarily imply high inﬂuence and vice-versa.
Later in the paper you will have fun math like this to check out.
Hope you like it because my brain is hurting…
A cool viral ad with some crazy guys running around using ladders on tall buildings.
After checking out this video watch the second one that shows them creating the ladders and the scenes with the ropes still in place. Still a prity cool concept sport and viral ad.
If you plan to do a viral campaign learn from some of the best. Check out this video. It’s an awesome example of how to take a great idea and get millions to watch it on the web. Coke’s original goal was to beef up its digital activation platform.The plan was to release seven different pieces of content, iPhone and social media applications, wallpaper screen savers and a video that we hoped would go viral. “The Happiness Machine” web video started out as just a piece of digital content, a dose of happiness.
Pulse of the Nation shows the U.S. Mood Throughout the Day inferred from Twitter comments. For more details info go here.
A number of interesting trends can be observed in the data. First, overall daily variations can be seen (first graph), with the early morning and late evening having the highest level of happy tweets. Second, geographic variations can be observed (second graph), with the west coast showing happier tweets in a pattern that is consistently three hours behind the east coast.
About the Data and Visualization
The plots were calculated using over 300 million tweets (Sep 2006 – Aug 2009) collected by MPI-SWS researchers, represented as density-preserving cartograms. This visualization includes both weekdays and weekends; in the future, will we create seperate maps for each. The mood of each tweet was inferred using ANEW word list  using the same basic methodology as previous work . County area data were taken from the U.S. Census Bureau, and the base U.S. map was taken from Wikimedia Commons. User locations were inferred using the Google Maps API, and mapped into counties using PostGIS and U.S. county maps from the U.S. National Atlas. Mood colors were selected using Color Brewer 2.