mass
More Evidence That The iPhone 5 Is Going To Have A Very Thin Screen (AAPL)
For months, there have been rumors that the next iPhone would have a thinner screen. Several reports have said that Apple’s supply partners were developing a new process called in-cell technology, which integrates touch screen sensors directly into the LCD screen, thereby eliminating a layer from the screen.
Now, we have the biggest proof yet that this is in fact happening.
LG confirmed during a press event on Wednesday that the company is now mass producing new display panels that use this in-cell technology, according to The Wall Street Journal.
“We had some hard times (in developing the new in-cell technology) at first…but it seems those hard times have finally ended,” said Han Sang-beom, LG Display’s CEO, according to The Journal. “The in-cell technology is the industry’s latest development. (But) we will be able to supply the panels without any fail.”
LG has supplied display panels for Apple products in the past, and previous reports claimed that LG would be one of several companies producing the new thinner screens for the next iPhone. Given that LG’s announcement comes just a couple weeks before Apple is expected to unveil the next iPhone, it seems a pret! ty safe bet that the screens are for that.
So, what will a thinner iPhone screen actually mean for users? Two things, probably:
- A thinner phone, overall.
- A more expensive repair, if the screen breaks. That’s because the touch sensors will be built into the glass. If you crack an iPhone 4 screen, you can keep using your phone. That probably won’t be the case with the iPhone 5.
A thinner screen may also make more room for a bigger battery.
Please follow SAI on Twitter and Facebook.
Join the conversation about this story »
Reed Hastings’ Netflix spinoff isn’t about DVD success, it’s about hedging the stream
Source: http://www.engadget.com/2011/09/19/editorial-reed-hastings-netflix-spinoff-isnt-about-dvd-succes/
If you’ve just casually glanced over the mass reactions to Reed Hastings’ decision to split the DVD-by-mail business of Netflix into its own brand and company, you’ve probably been duped into thinking that it’s the second questionable move that the world’s most famed movie delivery service has made this year. But is it? Is a man who turned a red envelope into a symbol of near-immediate gratification really a moron? Did he really just bury the company he worked tirelessly to create? I highly, highly doubt it. Knee-jerk reactions are always fun to watch, but they’re rarely on-point. As with most things in life, the truth usually resides somewhere in betwixt the extremes. And in the case of Qwikster — the DVD-by-mail service that precisely no one asked for — the truth is hiding in exactly the place that Reed said it’d be: the future.
Editorial: Reed Hastings’ Netflix spinoff isn’t about DVD success, it’s about hedging the stream originally appeared on Engadget on Mon, 19 Sep 2011 02:19:00 EDT. Please see our terms for use of feeds.
Permalink | | Email this | Comments
—
drag2share – drag and drop RSS news items on your email contacts to share (click SEE DEMO)
Made-Up Word Advertising — “Retina Display” — is how Apple Launches New Products
A made-up word “retina display” had every major blog and news outlet scrambling to help explain what it was. Nearly 1.1 Million search results in 19 hours. It was covered on every evening news; look closely at the thousands of related news articles, etc. And all the major, powerful sites like Gizmodo, MacRumors, Engadget, etc. covered the event. Similarly 1.2 million search results on the “one more thing” feature — video calling on the iPhone called FaceTime. All entirely free primetime coverage — talk about the tens of millions of impressions achieved with NO media cost — they can definitely used the money saved to ensure Steve Job’s next keynote will have sufficient WiFi bandwidth for all those live blogging the event.
Look at the following graph of relative search volume. The spike in search volume for All-You-Can-Jet (in red) is about 4X higher than the orange line (Footlongs). And the blue line for “retina display” is 8X. Consider the cost of the paid TV media campaign supporting Subway’s Footlongs compared to the cost savings of the social media launch of JetBlue’s All-You-Can-Jet Pass and the no cost media for Apple.
Of course, not all companies will achieve the same mass coverage, but the techniques for product launches can be the same. Footlongs is an expensive paid media campaign by Subway and note how low the orange line is compared to the TWO no-cost launches.
And one more graph that shows Drobo plus 2 social media success stories — Groupon and FourSquare that even blow away Apple’s retina display — all for FREE.
Other notable examples of using made-up word advertising include JetBlue’s All-you-Can-Jet Pass and Subway’s Footlongs. Further details about JetBlue’s launch of the All-You-Can-Jet Pass is here – http://go-digital.net/blog/2009/08/jetblue-all-you-can-jet-pass/
Earlier unfiltered results on Google within 10 hours of launch — there are 3.9 Million results which will be de-duped overnight.
Day 1 Stats – page 1 position 3 in 44.6 million results
What is Web 3.0? Characteristics of Web 3.0
2009 06 16 What Is Web 3.0 – Presentation Transcript
- What is Web 3.0? Dr. Augustine Fou June 16, 2009. June 16, 2009.
- Evolution of the Internet microprocessor 40 yrs 10 yrs 20 yrs 5 yrs present web internet 2.5 yrs social networks e-commerce 1.5 yrs Web 1.0 Web 2.0 Web 3.0? June 16, 2009.
- Evolution of the “Web” content commerce search social networks social content social search social commerce As each stage reaches critical mass, the next stage is tipped into present June 16, 2009.
- Key Characteristics present web 1.0 web 2.0 web 3.0
- Speedy
- more timely information and more efficient tools to find information
- Collaborative
- actions of users amass, police, and prioritize content
- Trust-worthy
- users establish trust networks and hone trust radars
- Content
- content destination sites and personal portals
- Search
- critical mass of content drives need for search engines
- Commerce
- commerce goes mainstream; digital goods rise
- Ubiquitous
- available at any time, anywhere, through any channel or device
- Individualized
- filtered and shared by friends or trust networks
- Efficient
- relevant and contextual information findable instantly
June 16, 2009.
- Illustrative Examples – retail/shopping present web 1.0 web 2.0 web 3.0
- what friends bought or want to buy
- drag-to-share items which friends know friends are looking for
- item collections
- value in the aggregation
overstock.com amazon.com FB app: MyFaveThings
-
- contextual reviews
- reviews of reviews
- what others bought
- individualized recommendations
June 16, 2009.
- Illustrative Examples – social networks present web 1.0 web 2.0 web 3.0
- aggregates all your online identities
- syndicates all your updates to all social networks
- social actions visible to friends
- trust networks across geography, time, and interests
- collection of personal homepages
geocities.com facebook.com peoplebrowsr.com June 16, 2009.
- Illustrative Examples – restaurant reviews present web 1.0 web 2.0 web 3.0
- Yelp content vetted through a user’s trust network and individual recommendations made based on situation and need, in real-time
- user submitted reviews
- related items based on similarity of user preferences
- infrequent publication
- centralized editorial control
zagat‘s yelp need reco for great Italian + GPS + Yelp 5-star Babbo, been there, love it June 16, 2009.
- Illustrative Examples – photos present web 1.0 web 2.0 web 3.0
- real-time, contextual “do you like this knit shirt?”
- friends give immediate feedback
- share photos with friends and strangers
- enable visitors to tag and comment
- individual albums
kodakgallery.com flickr.com ? June 16, 2009.
- Illustrative Examples – real estate present web 1.0 web 2.0 web 3.0
- information vetted by fellow users, recommended directly an in context
- listings plus relevant information like school zones, comparable sales, alerts
- listings based on parameters
corcoran.com streeteasy.com trulia iphone app June 16, 2009.
- Illustrative Examples – encyclopedia present web 1.0 web 2.0 web 3.0
- content is ubiquitous and available through any channel or device
- trust network proactively forwards relevant info to user who needs it
- created, updated, and edited (policed) by user actions
- digitized version of printed encyclopedia
britannica.com wikipedia.com chacha.com June 16, 2009.
- Illustrative Examples – online coupons present web 1.0 web 2.0 web 3.0
- coupons delivered contextually and proactively when user needs it (without the user even asking for it)
- instant feedback
- community action makes it more accurate and useful for others
- collection of online coupons – value in the aggregation
dealcatcher.com retailmenot.com June 16, 2009.
Facebook advertising metrics and benchmarks
Update Jan 2014
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.
Comparison of click-through rates for search ads versus display ads
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).
detail of low click through rates of facebook display 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.
no, twitter will NOT be the next google
Every year around SXSW, there’s a surge in interest about twitter. This time around people have even gone as far as to proclaim twitter to be “the next google” or “the future of search” etc. Bullocks!
Here’s why:
1) distant from other social networks – While we are seeing a massive surge in interest and usage of twitter, it is still a long way off from the number of users of other social networks; it will take a long time to get to critical mass; and this is a prerequisite for twitter to assail the established habit of the majority of consumers to “google it.” — Google’s already a verb.
2) no business model – It remains to be seen whether Twitter can come up with a business model to survive for the long haul. Ads with search are proven. Ads on social networks are not. And given the 140-character limit, there’s hardly any space to add ads.
3) lead adopters’ perspective is skewed – Twitter is still mostly lead adopters and techies so far; so the perspectives on its potential may be skewed too positively. As more mainstream users start to use it, we’re likely to see more tweets about nose picking, waking up, making coffee, being bored, etc…. This will quickly make the collective mass of content far less specialized and useful (as it is now).
4) too few friends to matter – Most people have too few friends. Not everyone is a Scott Monty ( @scottmonty ) with nearly 15,000 followers. So while a user’s own circle of friends would be useful for real-time searches like “what restaurant should I go to right now?” the circle is too small to know everything about everything they want to search on. And even if you take it out to a few concentric circles from the original user who asked, that depends on people retweeting your question to their followers and ultimately someone notifying you when the network has arrived at an answer — not likely to happen.
5) topics only interesting to small circle of followers – Most topics tweeted are interesting to only a very small circle of followers, most likely not even to all the followers of a particular person. A great way to see this phenomenon is with twitt(url)y. It measures twitter intensity of a particular story and lists the most tweeted and retweeted stories. Out of the millions of users and billions of tweets, the top most tweeted stories range in the 100 – 500 tweet range and recently these included March 18 – Apple’s iPhone OS 3.0 preview event; #skittles; and the shutdown of Denver’s Rocky Mountain News. Most other tweets are simply not important enough to enough people for them to retweet.
6) single purpose apps or social networks go away when other sites come along with more functionality or when big players simply add their functionality to their suite of services.
Am I missing something here, people? Agree with me or tell me I’m stupid @acfou 🙂
Digital Consigliere
Dr. Augustine Fou is Digital Consigliere to marketing executives, advising them on digital strategy and Unified Marketing(tm). Dr Fou has over 17 years of in-the-trenches, hands-on experience, which enables him to provide objective, in-depth assessments of their current marketing programs and recommendations for improving business impact and ROI using digital insights.
http://twitter.com/acfou
Send Tips: tips@go-digital.net
Digital Strategy Consulting
Dr. Augustine Fou LinkedIn Bio
Digital Marketing Slideshares
The Grand Unified Theory of Marketing
Collaborators – Digital Profs
Pages
Popular Posts
- What is Web 3.0? Characteristics of Web 3.0
- The JKWeddingDance video was real; the viral effect was MANUFACTURED - Post 1 of 2
- Facebook advertising metrics and benchmarks
- The Grand Unified Theory of Marketing(tm) - Digital String Theory
- Samsung 52 inch HDTV $9.99 at BestBuy - purchase receipt below (6:21a eastern time August 12, 2009)
- Marketing Costs Normalized to CPM Basis for Comparison
- Digital Footprint Score (tm)
- Netflix vs Blockbuster - Perfect example of an industry replaced by a more efficient version of itself
- Social Media Is Changing How Supply And Demand Works For Big Brands
Tags
Prototype Web Services
- drag2share – quickly share news items by drag and drop on email addresses
- LivePhotoFrame – upload and remotely manage a digital photo frame via unique URL
- MedleyTuner – create a continuous listening experience by uploading mp3s
- MusicSamplr – discover new artists and music, listen to samples
- SharedMost – what links on ANY webpage are shared most?
- Signatory – sign and date a document and verify it hasn't been altered since that exact time.
- WebTeleprompter – just what it says it is
Archives
- February 2016 (2)
- January 2016 (6)
- October 2015 (2)
- September 2015 (7)
- August 2015 (6)
- July 2015 (2)
- June 2015 (5)
- May 2015 (4)
- April 2015 (32)
- March 2015 (57)
- February 2015 (79)
- January 2015 (86)
- December 2014 (69)
- November 2014 (98)
- October 2014 (150)
- September 2014 (109)
- August 2014 (44)
- July 2014 (92)
- June 2014 (118)
- May 2014 (173)
- April 2014 (130)
- March 2014 (247)
- February 2014 (167)
- January 2014 (222)
- December 2013 (167)
- November 2013 (111)
- October 2013 (116)
- September 2013 (214)
- August 2013 (210)
- July 2013 (200)
- June 2013 (87)
- May 2013 (87)
- April 2013 (70)
- March 2013 (114)
- February 2013 (89)
- January 2013 (136)
- December 2012 (96)
- November 2012 (130)
- October 2012 (147)
- September 2012 (93)
- August 2012 (93)
- July 2012 (112)
- June 2012 (71)
- May 2012 (82)
- April 2012 (80)
- March 2012 (122)
- February 2012 (114)
- January 2012 (129)
- December 2011 (60)
- November 2011 (54)
- October 2011 (29)
- September 2011 (17)
- August 2011 (30)
- July 2011 (18)
- June 2011 (19)
- May 2011 (22)
- April 2011 (23)
- March 2011 (52)
- February 2011 (69)
- January 2011 (108)
- December 2010 (82)
- November 2010 (67)
- October 2010 (68)
- September 2010 (44)
- August 2010 (101)
- July 2010 (61)
- June 2010 (28)
- May 2010 (28)
- April 2010 (26)
- March 2010 (33)
- February 2010 (21)
- January 2010 (13)
- December 2009 (4)
- November 2009 (2)
- October 2009 (14)
- September 2009 (6)
- August 2009 (19)
- July 2009 (34)
- June 2009 (11)
- May 2009 (4)
- April 2009 (6)
- March 2009 (13)
- February 2009 (32)
- January 2009 (25)
- December 2008 (1)
- October 2008 (1)
- June 2008 (1)
- November 2007 (1)
