YouTube
Evian baby viral video has much higher ROI than Etrade baby superbowl ad
The Evian baby viral ad (red spike) got almost as much search volume as eTrade’s Superbowl ad of 2009 (blue spike). But Evian paid millions less by skipping the expense of airing the video on traditional media; instead they just posted it to YouTube for free. But notice that in both cases the effect was ephemeral (not long lasting) — notice the narrowness of the spike. Interest in the viral video also subsided quickly. But at least Evian didn’t waste millions on producing and airing it — thus achieving a massively larger ROI than Etrade who paid to make the ads and then air it at great expense on the Superbowl for the last 3 years.
Etrade Baby Ad
Evian Baby Viral Video
Tags: 3 years, allowFullScreen, amp, application, Baby, effect, embed src, ephemeral, etrade, Evian, expense, height, hl en, http www youtube, interest, lt, movie, name, narrowness, notice, param, param name, ROI, search, search volume, spike, src, superbowl, superbowl ad, true width, type, type application, value, video, Viral, viral video, volume, waste millions, width, x shockwave flash, YouTube
Like I said… viral videos can be made
Take a home video like this one (posted January 24, 2007) – 1.1 million views
make it more extreme like this (posted August 03, 2009) – 2.7 million views
Promote the heck out of it through paid media and traditional PR support (i.e. seed it to every gullible news outlet) and let them put it on the news (for free). And be sure to cover your tracks by turning off “statistics and data” on the YouTube video so people can’t back track where you promoted the video.
Unfortunately for Microsoft, no one will ever know if this viral video drove any sales like the JKWeddingDance one did for Chris Brown’s single “Forever” which hit the top of the sales charts on iTunes and Amazon MP3 the same week.
The JKWeddingDance video was real; the viral effect was MANUFACTURED – Post 1 of 2
How to manufacture a viral video sensation and make viral profits – Post 2 of 2
Here are a few more funny videos for your entertainment.
and an external link
http://gizmodo.com/gadgets/scary-rides/precocious-kids-mess-with-tracks-of-an-oncoming-train-327400.php
Tags: 1 million, 5000km softslide, Amazon, August, biggest waterslide, bruno, bruno kammerl, Chris Brown, dauerrutschtest kammer, effect, entertainment, Forever, funny videos, gadgets, giant waterslide jump, heck, hero, home, home video, itunes, January, january 24, jkweddingdance, jumping far, jumps megawoosh.com, kammerl, kammerl softslide, link, make viral video, making viral videos, MANUFACTURED, matterhorn, mega woosh original, megawoosh, microsoft, mp3, news, news outlet, oncoming train, organism, organometric organometrie, organometrisch, outlet, philosophi, post, PR stunts fake, pr support, profits, projekt, projektbuero, projkte, Promote, run real, rutsche statement, sales charts, scary rides, seed, sensation, sliding, statistics, stimulation megawoosh.com, support, test, top, traditional pr, tube, video, viral media, viral video, waterslide, waterslide visio, Week, wich, YouTube, youtube video
Non-viral videos of funny wedding dances.
Notice the shape of the youtube stats curve – each of these has 8+ million views, but notice the straight line of views that were accumulated over almost a 2 year period. Notice they each also got a bump in view count recently due to being listed as related videos on the #JKWeddingDance video.
Tags: bump, count, curve, funny wedding video, funny wedding videos, jkweddingdance, line, notice, period, shape, stats curve, straight line, video, view, view count, viewcount, wedding dance video, year, YouTube, youtube stats curve
How to manufacture a viral video sensation and make viral profits – Post 2 of 2
Related: The JKWeddingDance video was real; the viral effect was MANUFACTURED – Post 1 of 2
It was originally discovered and reported that while the jkwedding dance video was real, the viral effect was manufactured by Chris Brown and Sony’s marketing and public relations poeple.
Chris Brown and Sony PR made an unconventional, but really really good, decision to promote a home video on YouTube to drive massive increase in sales and also polish Chris Brown’s tarnished image in the process.
See ReadWriteWeb’s initial article — http://bit.ly/KA3HI
The video of JKWeddingDance was funny and it used Chris Brown’s “Forever” song. Instead of suing them and issuing a take-down order, Sony’s PR department promoted it instead and added an overlay ad to purchase the single from Amazon MP3 or iTunes.
http://www.youtube.com/watch?v=4-94JhLEiN0
This case reads like a how-to guide to create a successful viral video that drives sales. They (Chris Brown) did everything right.
By promoting the video (instead of suing to get it taken down), they got the video past the first tipping point of X thousand views, after which the video remained on the front page of YouTube which gets about 30 million unique users in a day. Most people don’t look through the ocean of videos on YouTube. Instead, they start with the ones listed on the front page as “most popular, top favorited, or most viewed.”
Then real people continued to amplify the snowball effect — social amplification — and passed along to their friends. This added a viral halo on top of the original promoted views. The viral halo is low to no cost to the advertiser so any profits derived from it is pure viral profit.
For a step-by-step guide to creating a viral video, see
http://go-digital.net/blog/2009/08/how-to-make-a-viral-video-a-5-step-guide
Viral hits can be manufactured. A group which has done this successfully and reproducibly is ImprovEverywhere (see their YouTube channel below). They have MANY YouTube videos which have hundreds of thousands of views, and their latest hit — No Pants Subway Ride – achieved 8 million views in 3 months.
http://www.youtube.com/user/ImprovEverywhere
Tags: 30 million, advertiser, Amazon, amplification, article, case, channel, Chris Brown, cost, create a successful viral video, Dance, day, decision, department, domestic violence, donations, effect, everything, Forever, forever song, front page, Group, guide, halo, home, home video, how to create a successful viral video, how to make a viral video, how-to guide, http www youtube, hundreds of thousands, Image, ImprovEverywhere, increase, initial article, itunes, jk wedding dance, jkweddingdance, link, ly, MANUFACTURED, marketing, massive increase, mp3, ocean, order, overlay, page, Pants, poeple, point, post, pr department, process, profit, profits, public relations, public relations department, ReadWriteWeb, real people, Related, Ride, single, site, snowball, snowball effect, social amplification, Song, sony, Subway, subway ride, tarnished image, tipping point, top, video, violence, Viral, viral halo, viral profits, viral video, viral video profit, viral video that drives sales, YouTube, youtube videos
The JKWeddingDance video was real; the viral effect was MANUFACTURED – Post 1 of 2
originally investigated and reported on Friday July 31, 2009 by Augustine Fou, with Tugce Esener @tesener
Several friends and colleagues had the same reaction when they found out about this video — that it was at such a high view count already and we were late to the party of finding out. Then we did some more digging — digital forensics :-) And this is a case where a viral hit was indeed successfully manufactured. There’s something to be learned from all this – how to successfully manufacture a viral video sensation and make viral profits.
Related: How to manufacture a viral video sensation and make viral profits – Post 2 of 2
Chris Brown is successfully tapping into the viral halo of a funny video that coincidentally used his song.
ReadWriteWeb article on how rights owners (Sony, Chris Brown) can make viral profits on other people using their work instead of suing them - http://bit.ly/KA3HI
The video was real. But promotional activities (possibly/likely paid) created the initial viral effect (led to the tipping point of the viral effect) which then got carried a further by people thinking they were simply late to the party, including myself (e.g. 440k bit.ly clicks and 3k detectable retweets out of the 13M views). The numbers don’t jive.
The viral halo has added 1 million more views to the video from August 1 – August 2. (13.1 M to 14.5 M)
Ten ELEVEN TWELVE THIRTEEN proof points to follow, each with screen shot to illustrate.
1a. anyone notice that the “Forever” soundtrack is remarkably consistent throughout the video as if it were dubbed or added in after the original footage was shot. The sound is too consistent in volume and loudness to have come from a built-in, on-camera microphone. At the very end of the video, once it cuts back to the couple at the altar the sound quality goes back to the echo-y, tinny sound of an on-camera mic.
1b. The “TheKHeinz” user on YouTube was registered on July 19, 2009, the day the video was posted. We usually look for clues like this to detect “plants” by PR agencies. This is an issue of trust — a user “CmdrTaco” on Slashdot has been around the forums for years, made hundreds of posts, and was rated by the community very highly. PR agencies trying to seed stories have to create new user accounts during the PR campaign (recent registration date) and have made no other posts or uploads before (no history).

2. The social intensity detected in all of the top social venues like Technorai, Delicious, Reddit, Digg, etc. indicate there was not enough organic sharing to support a view count of 13 million views in 11 days (updated: 14.6 million today August 2, 2009).
a) Bit.ly shows only 447k clicks on the shortened URL

“At Fortune’s Brainstorm:Tech conference Ashton Kutcher effectively took credit for boosting the views from – in his words – 12,500 views before he tweeted the link – to some 1.2 million views 12 hours later…”
Well, unfortunately he used a bit.ly link which provides public analytics on how many people clicked. Most tweets result in immediate traffic, which then tails off immediately after the tweet falls off the first page. In his case, look at the following bit.ly stats URL and click “past month” to see the peak clicks on July 23. All he can actually claim is that his tweet drove a peak of about 100,000 clicks on that day not 1.2 million
http://bit.ly/info/Z7vMw
too bad Ashton. next time you make a BMOC claim, be sure to use a non trackable method, so analytics won’t “out” you so easily.

after only 3.5 days of retweets the twitter intensity died off to next-to-nothing; if this were a truly viral video, carried forth by real people (and not by paid PR support and paid media) the retweet intensity would remain high. As of August 21, there are over 21M views on the video and the 505k retweets does not show actual organic support for that number.

b) Twitturly shows only 3 thousand retweets on the YouTube URL itself

c) Delicious shows only 447 bookmarks of the video itself


d) Reddit only shows 673 thumbs up for the video itself

e) Technorati shows only 277 blog mentions of the video itself — this could be undercounting if blogs used URL shorteners. But if you look at the blog intensity results (below) sorted by blogs with most authority the blogs have very little authority (i.e. influence or size of audience).

– these are real indications of interest by real people. The social intensity of the passalong for this video does not substantiate the huge number of views in 11 days.
What we are seeing now is the additional viral halo, as the momentum is sustained by large media outlets reporting on the story — even Google Blog blogged about it (boasting about the success of YouTube advertising in driving revenues). Of course TechCrunch is right that viral videos can be monetized: http://www.techcrunch.com/2009/07/30/youtube-viral-wedding-videos-are-great-for-advertising/ )
3. Twitter shows nothing in the top “trending topics” related to this video – indicating few people are actually tweeting about it — if this video is SO viral (13M views in 11 days) then it has GOT to show up on a scan of social intensity. (see screen capture below)
July 31 (Friday) August 2 (Sunday)


4. The original video was posted July 19, 2009. The people from the video appeared on NBC’s Today Show and danced around Rockerfeller Center on July 25th (6 calendar days after posting). Today Show staff may be great at spotting news, but to get all the wedding party from the wedding to re-enact the dance on the Today Show in 6 calendar days — too good to be true? Hmm…

5. Out of all the wedding videos on YouTube, how did Chris Brown detect this particular one that used his song. @glenngabe noted that there are song detection mechanisms - ContentID - which detect the pattern of the copyrighted song and report that to the rights owners. We know there are hundreds, if not thousaands, or really funny wedding home videos — America’s Funniest Videos has been running for years and years on TV showing funny wedding blooper videos that people submitted to them.
6. ALL TEN of the top viral videos on AdAge’s Viral Video Chart took around 3 – 6 months to achieve full viral effect — not 6 days. See all 10 videos’ stats, as reported by YouTube at the following link. This video has not shown up at all on the list of Adage viral videos.
AdAge Top Viral Videos all take 3 – 6 months to reach full viral effect
7. From @RedW0rm – YouTube Declares Wedding Video a Financial Success – http://bit.ly/9ZUtu
8. also check the velocity of this http://twitter.com/#search?q=jkwedding or this http://twitter.com/#search?q=jkweddingdance notice the tweets are not seconds apart but hours apart. Something that achieved 13M views in the 11 days since posting would show far higher velocity or twitter intensity.
9. For a top-trending topic on twitter, there is usually correspondingly high search volume that is detectable. At first glance, terms related to this viral video like “jkwedding” or “jk wedding dance” all seem to spike. But if you put it against even “Corazon Aquino” (one of the top trending topics NOW on Twitter) those JK wedding search volumes are dwarfed. (see chart below).

10. Google only reports 366 links to the video and most of them are not even important websites (see Alexa blue bar)

11. The video itself has no honors and no stats (yet); YouTube stats are conveniently turned off. Other videos have their stats graphs publicly available.

12. see the fine print in the YouTube description — For more information or to make a donation towards violence prevention please visit our website: http://www.jkweddingdance.com/ – why would a normal wedding video ask people to make a donation towards violence prevention? (see screen capture below), the WHOIS record shows the domain jkweddingdance.com was created 29-Jul-09 — today is 31-Jul-09
Updated: This was circumstantial evidence. A source confirmed that Jill is studying patterns of violence propagation for her PhD. Their choice of charity was their own choice. And the site was set up to help that cause.



Conclusion? The video itself is real, made by those nice people in the wedding. They may not even realize why or how their wedding video went viral (and the tens of thousands of other wedding videos on YouTube did not). On the Today Show, “The couple told Lauer they were surprised at the video’s popularity” (also see NY Daily News article – http://bit.ly/OA3iG )
Related articles:
ReadWriteWeb – Build Profit Not DMCA Suits
WSJ – YouTube Declares Wedding Video a Financial Success
PSFK – Co-opting Viral Hits to Sell More Music
TechCrunch – YouTube: Viral Wedding Videos Are Great For Advertising
Huffington Post – Viral Wedding on YouTube Drives Buyers to Chris Brown Music
Tags: 1 million, 1a, adage, adage viral video, adage viral video chart, Alexa, All, America, americas funniest videos, Anyone, article, Ashton, Ashton Kutcher, August, august 1, Augustine, authority, Benjamin Peterson, bit, blog, botto, bottom, Cadbury, calendar, calendar days, camera microphone, capture, case, Center, centeron, chart, Chris, Chris Brown, chris brown forever, chris brown song in wedding video, chris brown's, chris brown's handlers, chris brown\s reaction to wedding dance video, colleagues, com, contentID, Corazon Aquino, Coronado, count, Courtyard, Dance, dancing, day, Delicious, description, detection mechanism, detection mechanisms, Digg, digging, digital forensic evidence, digital forensics, digital science, domain, domestic violence, donation, down the aisle, effect, ELEVEN, end domestic violence, ESENER, Eyebrows, filet o fish, financial success, fine, forensics, Fou, friday, full viral, funny wedding entrance, funny wedding entrance video, funny wedding video, funny wedding video with chris brown song, funny wedding viral video, google, GOT, halo, Hamilton, hit, hmm, Hotel, how to make a viral video, http://www.jkwedding.com/, indication, information, intensity, interest, issue, jill peterson, jive, jk wedding, jk wedding dance, jk wedding entrance, jk Wedding Entrance Dance, jk wedding entrance dance video, JK Wedding Video, jkwedding ballet, jkwedding dance, jkwedding entrance, jkwedding jk, jkwedding video, jkwedding.com, jkweddingdance, Jul, July, kevin heinz, link, loudness, ly, Marriott, marriott courtyard hotel, marriott hotel, NBC, news, nothing, notice, Numa Numa Guy, numa numa guy geico, number, numbers don, party, peak, peope, plants, point, post, pr agencies, pr campaign, PR stunts fake, prevention, print, profits, promotional activities, proof, proof points, reaction, ReadWriteWeb, record, Reddit, registrant, Related, Rockerfeller, Samsung, screen, screen capture, search, sensation, Sheep, shot, show, slashdot, social intensity, social venues, something, Song, song in funny wedding entrance, sony, sony bmg, sony pr, sony pr efforts, sony pr team, sony social marketing, sound, sound quality, staff, street, success, support, T-Mobile, t-mobile dance, TEN, tesener, TheKHeinz, THIRTEEN, thru, tinny sound, tipping point, today, today show, top, Tugce, tweet, TWELVE, twitt(url)y, twitter, twitter intensity, twitter pass-along, uploads, URL, user, user accounts, velocity, video, video 3, Videos, view, violence, violence prevention, vir, Viral, viral effect is manufactured, viral halo, viral profits, viral video, viral video chart, viral videos, visit, was jk wedding video real?, website, wedding, wedding dance, Wedding Entrance Dance, wedding entrance video, wedding party, WHOIS, whois record, Work, YouTube
What viral videos look like; what non-viral videos look like — by the stats
The first 2 are viral videos – notice the shape of the “total views curve” (quick rise and approaches the max asymptotically). The last 2 videos are not viral, and supported by paid advertising and promotion. It is a straight line that grows steadily over time. The 2 examples of non-viral videos were chosen simply to have similar view counts as the first and second examples.
Viral video examples – notice the asymptotic curve towards the max on the total views chart.
Frozen Grand Central ImprovEverywhere viral video – 18 million views – added on Jan 31, 2009. ”Other/viral” gave it its first big boost and embedded views gave it another big push.

No Pants Subway Ride ImprovEverywhere viral video – 9 million views – uploaded January 13, 2009; got onto YouTube homepage and got a major boost from it.

NON-viral video examples – notice the straight line of the total views chart.


Perfect example of NON-viral video that had help with paid media – in this case, GoDaddy supported these videos with costly Superbowl ads — which led to nice bumps-up in total views.

In the case of Smirnoff’s Tea Partay, it was not supported by paid media so it took longer to grow and the shape of the curve is a nice blend between the straight line of a non-viral video and the asymptotic line of a viral video.

Finally, blatant ads don’t go viral – Sony’s grand central product demo stunt. And even if they are discussed in dozens of blogs it is not enough to get past the first tipping point.
Tags: advertising, advertising and promotion, blatant ads, blend, blogs, boost, case, Central ImprovEverywhere, curve, demo, dozens, example, Frozen, frozen grand central, godaddy, Grand, grand central viral video, homepage, improv everywhere, Jan, January, line, max, no pants subway, NON-viral, notice, Pants, Partay, Perfect, point, Product, product demo, promotion, push, Ride, rise, s grand central, shape, smirnoff, smirnoff advertising 2009, smirnoff tea partay, sony, straight line, stunt, Subway, superbowl, superbowl ads, Tea, tea partay, tea party, time, tipping point, total views curve, towarsd, video, video examples, view, Viral, viral video, viral videos, white guys rapping, YouTube
Facebook advertising metrics and benchmarks
Summary
Facebook click-through rates of 0.01 – 0.05% (Facebook CTRs)
Facebook effective CPMs turned out to be $0.01 – $0.19 (Facebook eCPMs)
Facebook average CPCs ranged from $0.05 – $0.25 (Facebook CPCs)
Other social media benchmarks from my experiments (Adwords, StumbleUpon, PayPerPost / Izea) can be found here.
As a scientist, I like to run experiments. And I like to make stuff. So my team and I made a few Facebook apps that solved needs that we had (a few samples listed below) and shared them publicly on Facebook to see if they were also useful to other people too.
I beta tested some apps with a few friends by inviting them directly. Then to get it out to a larger number of people, we decided to try Facebook advertising, the much-hyped, holy grail of display advertising on one of the largest and most active social networks.
http://apps.facebook.com/netflixr/
- visual discovery, share, and queue management interface for Netflix
http://apps.facebook.com/musicsamplr/
- visual discovery and sampling interface for music (Amazon backend)
http://apps.facebook.com/phreetings/
- create and send photo or video e-cards by drag and drop (Flickr and YouTube backend)
http://apps.facebook.com/visualfriends/
- visual display of your friends (closest ones have the most recent status updates)
http://apps.facebook.com/myfavethings/
- social commerce – I’ll buy what he bought; things I have, things I want
But what I found was eye-opening to say the least. Despite the potential of social ads where the social actions of your circle of friends could make the ads more targeted, none of the anticipated positive effects were observed. Despite the promise of mass reach, there was not the corresponding attention or clicks. And despite the use of demographics-based targeting, there was no statistically significant difference between different targets nor the control sample, running during the same time period.
What we saw were click-through rates of 0.01 – 0.05% — and the 0.01% often seemed like rounding because they did not report more than 2 decimal places. As a result of these click rates the effective CPMs turned out to be $0.01 – $0.19 and average CPCs ranged from $0.05 – $0.25. I’ve been running these Facebook ads for more than 12 months; and millions of impresisons later, there is no observable improvements to CTRs and thus CPMs and CPCs. But since I set up the campaigns to only pay when there is a click (CPC basis), I can let these run indefinitely because I am getting so few clicks, it’s not even making a dent on my credit card (which I use to pay for the ads).
Ideas for Facebook
In the spirit of openness, as an advertiser who wants to continue using Facebook advertising, perhaps there are a few things they can do to improve the effectiveness of Facebook display ads.
1. reduce the number of ads per page to 1 – displaying multiple ads artificially depresses click-through rates because users can only click on 1 thing at a time, even if they liked more than one of them. Displaying 3 on a page simply increases the denominator while the numerator does not increase — in the click-through rate equation: clicks / impressions.
2. make ads sharable – in the rare instance a user views an ad, it may or may not be relevant to her, but she may know that it is relevant and timely for a friend. By making ads sharable, she can click and send to a friend, who is very likely to find it useful and valuable, especially having been sent by a friend.
3. let users opt-in to ads in specific topic categories - when users are in the market for specific things, they are more likely to subscribe to pertinent news feeds, offers, etc. related to that topic or category. By giving users more power over what they want to see, it will also give advertisers more targeted and engaged prospects to target.
4. expand search-based advertising – when users search they are looking for something and are open to discovering something they didn’t know to ask for. So ads served up in response to a search is usually a lot more effective than ads served up simply when a page is loaded (display advertising). Facebook can serve display ads based on pertinent search queries.
Earth to Facebook… anyone listening?
By Dr. Augustine Fou. Dr. Fou is Group Chief Digital Officer at Healthcare Consultancy Group a group of agencies within the Omnicom family specializing in pharma and healthcare. He helps clients develop digital marketing programs or improve the efficiency and cost-effectiveness existing campaigns via advanced analytics, social marketing, and digital strategy. You can read more of his writing on digital marketing on this blog and follow him on twitter @acfou.
Revision 6/30/2009: Facebook Click Fraud
Excerpt from TechCrunch: “Click fraud is serious business on the big search engine advertising networks because the bad guys can make serious money. Sign up for an Adsense account and put those ads on parked domain names or wherever. Then all you have to do is start clicking those ads like crazy, using bots or cheap labor.” On Facebook, “advertisers are clicking on competitor ads to drive up their costs and drive down their ROI.”
“So the bad guys just create thousands of fake Facebook accounts with a wide variety of demographic information. This sounds like a lot of work, but it’s highly automated. the going rate was just $10 per 100 accounts if you supply the unique email accounts. Once the accounts are created, they use software to fill out the varied demographic information, and that software also manages all these accounts. The fraudster then logs in to Facebook via these accounts and views the ads that are displayed. The right competitive ads come up and Bingo, the software then clicks them. Facebook rules allow an account to click any advertisement up to six times in a 24 hour period, and all those clicks are charged. All you need is a few accounts to view the ads and then click to the max.”
http://www.techcrunch.com/2009/06/26/facebook-click-fraud-101/
http://www.techcrunch.com/2009/06/21/facebook-admit-click-fraud-problem-says-fix-coming-today/
Despite click fraud, the click through rates are still incredibly low. So if you subtract all the click fraud, is ANY advertiser making ANY money from facebook advertising?
Others have found similarly dismal click through rates from Facebook advertising
Source: http://www.friendswithbenefitsbook.com/2008/04/07/facebook-ad-click-through-rates-are-really-pitiful/
Facebook Ad Click-Through Rates Are Really Pitiful
April 7, 2008 – 5:03 pm
Quite by coincidence, I’ve encountered a few statistics on Facebook’s advertising platform. I thought I’d post links to the results I’ve uncovered, in case anybody is wondering about average CTR rates for Facebook.
First up, Rod Boothby got a click-through rate of 0.01%:
This week, I ran $105 worth of Facebook Fliers. That bought me 52,500 impressions. It looks like the flier bought me about an extra 500 site visits. That’s about $0.21 per hit.
Michael Ferguson ran a bunch of Facebook ads for Kinzin:
Click-through rates are abysmal. I was running the identical ad in about 15 different regions (you need to run them as separate ads to get the stats broken out), getting just over 10M views. Our average clickthrough rate was 0.06% (that’s 1 in 1513, for those counting at home). The best we did anywhere was 0.14%.
He later reports that the conversion rate was “at a pretty reasonable clip” at about 5%. By ‘conversion’, I think he’s meaning people who actually signed up for Kinzin’s free service. All of this stuff is contextual, but if visitors had to lay down money, the conversion rate would be considerably lower.
The folks at Valleywag report similarly dismal numbers:
Media buyers — the agency people who book campaigns — report that the college social network is a truly terrible target. They’re mainly students, with low disposable income, of course; but, beyond that, the users appear to be too busy leaving messages for eachother to show much interest in advertising. Facebook’s members appear indifferent even to movie advertising aimed at their demographic. Clickthrough rates, the percentage of time users click on an ad, average 0.04% — just 400 clicks in every 1m views — according to one report seen by Valleywag.
From AllFacebook:
Fred Wilson has been updating the world about his venture in Facebook advertising over the past week. Today, Fred posted and updated screenshot of his ad campaign’s performance and it doesn’t appear to be too stellar. For one of his campaigns, out of 10,080 impressions there were only 8 clicks. The average cost-per-click for Fred was $0.08 and the average CPM was $0.06. This is a less than stellar performance. This is nothing new though.
And lastly, from a digital student marketing blog in the UK. This would seem like a natural fit for Facebook’s audience:
Our most recent campaign saw 1.4 million page impressions delivered at specific universities – and only a 0.04% clickthrough rate. Ouch.
Click-through rates seem to sit around 0.04%, which is profoundly lame if you ask me. I’m no online advertising expert–it’s not really our thing–but I’ve run a bunch of Google AdWords and other contextual advertising campaigns. We regularly get click-through rates of 3%, and I gather that’s nothing special.
Here’s my theory on Facebook: it’s a silo. People visit the Fun House of Facebook, and conceptually treat it slightly different than the rest of the web. They’re in Facebook, interacting with friends, playing games, sending messages and now chatting on IM. As such, they’re really unmotivated to leave. Who wants to leave the Fun House?
We’ve seen similar results across Facebook. It’s really difficult to drive visitors out of the app and to your own website.
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so, you think you’re viral? here’s how to find out…
1. post your “viral” video, banner ad, etc.
2. tweet about it
3. see if any one of your followers re-tweets it
4. check twitt(url)y to see “twitter intensity” around you asset
this is a quick way to tell if what you think is viral is viral. If even your own circle of followers don’t retweet it, it probably isn’t viral. What you think is cool may actually not be that cool. And sticking it on YouTube and supporting it with a lot of paid media, doesn’t make it viral!
Agree with me? Or tell me I’m stupid @acfou
using twitter intensity to determine if something is viral (or not).

Tags: acfou, Agree, asset, banner, check, circle, followers, intensity, lot, post, retweet, something, tweet, twitt, twitt(url)y, twitter, twitter intensity, URL, video, video banner, viral marketing, viral video, virality, way, word of mouth marketing, YouTube
social amplification
in a budget-constrained environment, the best thing an advertiser can do is shift more attention (notice, I didn’t say money) to social marketing and stimulate social actions among target users and customers. While paid media used to just get people to some place (like a website), social marketing is about stimulating social actions — so the people actually do something — share, rate, comment, recommend, etc. These actions lead to an accumulation of value over time such that future visitors will get the benefit of all of the actions that went before (e.g. I only watch the highest rated or most viewed videos on YouTube; I don’t have to wade through and find the good stuff myself). Furthermore, social actions are free to the advertiser — think “advocacy.” When real people carry the message forward to their friends, it is free amplification for the advertiser — social amplification.
Tags: accumulation, advertiser, advocacy, amplification, attention, benefit, budget, digital strategy, environment, good stuff, marketing, message, money, notice, place, rate, real people, share, share rate, shift, social actions, social amplification, social marketing, something, stuff, target, target users, thing, time, value, website, WOM amplification rate, YouTube
About Me
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Digital Strategy Consulting
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