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raheel naqvi

Having Conquered Flickr & Yahoo, "The Newsfeed" Is Now the Dominant Info-Metaphor of Ou... - 0 views

  • Having Conquered Flickr & Yahoo, "The Newsfeed" Is Now the Dominant Info-Metaphor of Our Time
  • The internet is really exciting. There's a whole lot of information on it - an overwhelming amount, even. Years ago we first looked at it in monochrome text, then we started looking at it through a search box on an empty white page. What's next? Is it huge War Games style multi-monitor displays? A swirling UI somewhere between Tom Cruise in Minority Report and David Bowie in Labrynth? Today we're ready to declare The Newsfeed the dominant internet metaphor of the day; the cascading waterfall of updates from your friends, with comments swirling even around those - that model is everywhere now! Today one of the biggest photo sharing websites and the biggest news and email portal in the world both fell under the spell of the Newsfeed.
raheel naqvi

Google, Facebook, MySpace and More Meet to Talk Activity Streams - ReadWriteWeb - 0 views

  • Nick, I agree. Imagine semantic analysis, recommendation tech and who knows what else added to that mix and we're just at the beginning of a very exciting era.
raheel naqvi

Reversing the Enterprise 2.0 Pricing Model - ReadWriteWeb - 0 views

  • Reversing the Enterprise 2.0 Pricing Model
  • Why is the Enterprise 2.0 market not taking off more strongly? The reason has to do partly with ill-conceived pricing structures: volume-discount (VD) schemes. Fix them, and you fix one of the obstacles preventing the market from expanding rapidly. And by fixing them is meant reversing them, in particular by using volume-increasing schemes. Pricing Tied to Volume Enterprise social computing offerings -- such as social networks or the numerous Twitter-for-the-enterprise applications that currently abound -- generally don't have complex pricing structures. They are volume-discount based: that is, the more accounts customers buy, and the more employees who use them, the larger the discount vendors give them, and the lower their average price per user will be. Some vendors advertise flat pricing schemes, but when a customer is big enough, a volume-discount deal inevitably creeps in. Value and Cost Out of Balance
  • Volume-discount pricing structures are simple, tried, and true. So, why aren't they efficient? The reason is because of where returns on investment (ROIs) are located. Enterprise social computing offerings provide increasing marginal productivity as they scale, at both the individual and organizational level. The more that employees use a service, the higher the margin gained by their company in productivity, and the more the company extracts value from the product. A corporate customer that has 10% of its employees using a Twitter-like product won't extract as much value as one that has 50% of its employees using it.
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  • Increasing returns to scale can come in different ways: positive network effect, viral economies of scale, distributed economies of scale, etc. All enterprise services offer some of these dynamics (or at least the simple network effect), and the better designed the product, the bigger these economies of scale. (Download this PowerPoint presentation of Umair Haque's work for more on the subject.)
raheel naqvi

Web Strategy by Jeremiah Owyang | Social Media, Web Marketing - 0 views

  • Jeremiah Owyang discusses how web tools and social media enable companies to connect with customers Forrester Wave Report: The Leaders in Community Platforms for Marketers (Part 4/4)
  • Key findings of the 9 vendors
  • First of all, this is still a very young market, with the average tenure of a company being just a few years in community. Despite the immaturity, we evaluated nine and were impressed with Jive Software and Telligent Systems who lead the pack because of their strong administrative and platform features and solution offerings.
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  • What did we find?
  • Information needs to be sorted around people, not content
  • [MicroMeme: A conversation with your immediate network about what they think is the most important]
  • First, we vetted the 100 vendors to submit to a vendor product catalog, over 50 submitted which we used the data to pair down who were appropriate for the Wave report. Hands-on lab evaluations: I spent up to 6 hours with each vendor in a windowless room to evaluate their product live using common customer scenarios. I grilled the executive team, and discussed their strengths and weaknesses. Product demos. We asked vendors to conduct demonstrations of their products’ functionality. We used findings from these product demos to validate details of each vendor’s product capabilities. Customer reference calls. To validate product and vendor qualifications, Forrester also conducted reference calls with up to three of each vendor’s current customers for a total of up to 27 customer calls. We collected hundreds of screenshots, presentations, samples, reports and all of this information was entered in a multi-tab spreadsheet that accounts for thousands of cells, scoring, and detailed explanations which clients can use to toggle up and down specific needs as in some cases, specific feature needs may need to be highlighted over others. In the bottom links, I’ve made my research process very transparent, and have indicate the other three other blog posts documenting this laborious research effort.
  • Related Resources I’ll be updating this section as I see interesting voices from media, vendors, brands and customers. Read Write Web: Report: Community Platforms Market Led by Jive Software and Telligent Leverage Software CEO Mike Walsh (and other vendors) have responded in the comments Josh Bernoff: Picking a community vendor? We’ve evaluated a bunch . . . Tom Humbarger: Questions if these vendors are eating their own dog food read Walking the “Social Media Walk” Telligent’s corporate blog chimes in and makes the report available for you. Read more about this Wave Research project: Part 1: Starting the Wave Part 2: Data Collection Process Part 3: The Analysis Process Part 4: Announcing the Wave, the final report
  • Friendfeed is an example of the trend the web is headed: content sorted by people, not by topic.
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