Twitter buys analytics company

Twitter, which recently announced its Promoted Tweets advertising program, has acquired the maker of a cloud-hosted Web analytics application, Twitter said Thursday.Smallthought Systems’ Trendly lets Web site owners dig deeper into the usage and traffic data that Google Analytics collects about their sites.

The Smallthought staff has become part of Twitter’s analytics team, where they will integrate Trendly features and technology into Twitter’s existing systems, as well as help develop new products.

In April, Twitter launched with a limited number of partners like Starbucks and Best Buy the Promoted Tweets program, which is designed to let companies market their products and services on the popular microblogging and social-networking site.

As with all advertising services, a key to the success of Promoted Tweets will be Twitter’s capacity to analyze the popularity and effectiveness of these ads so that campaigns can be evaluated and optimized.

The analytics for Promoted Tweets may be more challenging than for other online advertising programs for a few reasons, including the fact that the ad format for Promoted Tweets will be the same as the format for regular “tweets” and that Twitter’s usage is going through the roof, with 2 billion “tweets” posted in May, according to Web monitoring company Pingdom.

“Every day millions of people use Twitter to create, share and discover information, and as we grow, analytics becomes an increasingly crucial part of improving our service,” reads Twitter’s announcement of its Smallthought acquisition.

Credit & Resource: http://www.networkworld.com/news/2010/061010-twitter-buys-analytics.html

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How Trendly helps your web marketing

Google Analytics does a great job of collecting your data, but it does a bad job of helping you understand it. For example, at Dabble DB, we are very interested in how many people come to us after searching for online database. Here’s what that keyword’s traffic looks like for the first few months of 2009:

Google Analytics keyword traffic example

It’s definitely going up and down a lot, but we don’t really care about daily fluctuation, we care about the trend. On average, how many people should we expect each day? And is that changing?

Trendly uses a statistical model to answer that question for us. It assumes that our traffic is going to stay the same for days, weeks, or even months at a time, but every once in a while something is going to change — like our ranking for “online database” improving, sending more people our way. The red line shows how Trendly sees this keyword over the same time period:

Trendly interpretation of keyword traffic

According to Trendly, our daily visitors from “online database” went up from 24 to 40 in early January, and then again up to 50 in early February. It reports these changes as items in a news feed:

Items in a news feed

By boiling several months of data down to a couple of items in a news feed, Trendly helps us keep on top of many different things at once. For example, this same feed actually tracks all of our search keywords:

Tracking all search keywords

You can see that our traffic from searches for co-founder Avi Bryant had a bump at the end of January (around the time he gave a talk at CUSEC), but went back down again. The sparklines beside each news item show those patterns concisely.

The news feed is continuous, and shows up to three years of history. If we want to see the earlier change to “online database”, we just scroll down a few weeks:

Scroll to see changes

The news feed does a great job of showing what’s changed, but it’s nice to put those individual keywords into a wider context. A chart running down the left provides the big picture:

A big chart for the big picture

The chart is locked to the same timescale as the news feed — and so, unlike most charts, time runs vertically. Each colored layer in the chart represents a single keyword. For example, the big green layer represents visits from “online database”. If I click on either the chart or the news item, the layer will pop out:

Pop-out layers

You can see how the green layer gets wider at the same time as the news item appears. The wider the layer, the more visits we get each day. The wider the chart as a whole — the sum of all the layers — the more visits we get in total from search. You can also see that Trendly tries to make things more meaningful by clustering similar keyword phrases together: The popup for “online database” shows that, while most (86%) of the searches in this cluster are for exactly “online database”, there are less frequent similar phrases that are also being included here, like “make an online database”.

Trendly isn’t just for tracking keywords. It has feeds for many of the reports you’re used to from Google Analytics: referrals, content, ad campaigns, and more. If you use goal tracking or ecommerce, Trendly also helps you track those:

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What Web2.0 means to Cloud?

I discussed the subject with one of colleagues who is a Cloud Computing architect. I’m logging what my comment here

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To continue our previous talk is a huge discussion. I’d recommend you could start to get involved in http://twitter.com and follow

http://twitter.com/mashable
http://twitter.com/j3ffyang -> me
http://twitter.com/OpenIBM -> I own this too as of being admin for IBM Open Source Global community

When you hit any of above, you can see the bytes come from http://aws.amazon.com actually, which is an IaaS with no doubt. Twitter is a kind of social collaboration network -> an application running over Amazon Web Services (AWS). Twitter doesn’t own any hardware resources. Whenever Twitter needs computing capability, it goes to AWS and AWS fulfills its request… on demand. Even though Twitter sometimes out of service due to its overload.

@ IaaS, AWS not only gives power of hardware (CPU, memory, disk and network…), but also provides plugin / API to connect Twitter with Hadoop… and Simple Queue Service (SQS), and Simple Database (SDB).

You shouldn’t be surprised @ Twitter’s power to gather thousand of thousand developers around it, if keeping our eyes open. (Some reasons of the motivation of social collaboration in term of Web2.0). See these:

http://tweetwheel.com
http://ftags.com
http://tweetvalue.com/
http://www.tweetizen.com/
http://twittersnooze.com/
http://mrtweet.net/home/j3ffyang
http://tweettrail.com/search/hadoop

This list is almost endless. They’re all independent of twitter.com. The above are all SaaS, plugable into Twitter.com where provides API -> http://apiwiki.twitter.com/ and http://twitter.com/downloads – @ PaaS

This is an ecosystem.

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Innovative ways to use social software in combination

Collaboration cross firewall: I started to get involved in a Cloud project and had to travel to Shanghai every week in past one month. While out of my office during trip, or boarding @ airport, or sitting in cab, I’m out of the company firewall! That means I can’t access BlogCentral. My brain must “stop” in front of firewall. If I want to keep it thinking, I’d switch to public Web2.0 places.
Ease of combination: Have you used Ping.fm ? Or you may ask what Ping.fm is? In short, it’s a hub of collaboration and a practice of innovation. Let’s see a scenario: In a cab, I see a scene. I capture a photo by using my Nokia E71 smartphone (iPhone works too). After shooting, a small icon of mail prompts. Click mail icon, I’m in mail mode with the capture picture as an attachment. I pick an email address from contact list. Such email address is like vfr45t@ping.fm that was randomly assigned by Ping.fm . Whatever message sent to such account will automatically be updated into my accounts @ Twitter, Facebook, del.icio.us, LinkedIn, MySpace, Blogger, Identi.ca, WordPress, Flickr, FriendFeed, Mashable, etc, you name it… All these could be finished within one minute. (Security is another topic though. I’d very carefully post the data in this very web2.0 way.)
Performance: WordPress is good. Working on company’s BlogCentral is a challenge. I lean to write @ twitter.com as I’m lazy and don’t have to write much :-P

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Why should we use Twitter / BlueTwit?

  1. The end- user community @ twitter / bluetwit is HUGE. Go to http://twitter.com/mashable (who has more than 210,000+ followers. Imagine the impact from mashable.com on web. Unbelievable! In our community, how many followers do we have? Through email? Wiki?), follow several threads there, you could see how the info/ data flows over Internet smoothly and healthily.
  2. The interaction/ collaboration @ twitter-like platform is tremendous rapid. The information/ data is tweeted by twitter people in second among Common Interest group, with passion and motivation to distribute and share such info/ data.
  3. The shared data with tags is stored there always. How often does people search in email? People search in intranet and/ or on web. Tagged information/ data piled to grow to be a great repository available on intranet and/ or web for searching @ any time. Never been deleted. It’s always available there.

What we could start is to register and broadcast like http://twitter.com/developerWorks on Internet and Intranet!

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Phone is Computer

I spent some time in researching Web2.0 and predicting Web3.0. Web3.0 gets me confused until I purchased a Nokia E71 two weeks ago. Let’s see some pictures captured from my E71

This is the main menu that doesn’t make much difference.

0main1

A Firefox like browser, with built- in Google search.

1firefox-like

An all-in-one instant communication tool – Fring – that connects you in Skype, MSN, Twitter, Facebook, Yahoo, GoogleTalk and so on.

fring1

GoogleMaps tells where I live.

gmap_whereilive

Wah, this is cool. A mobile Putty to connect my Linux machine. Perhaps it could become a console to manage Cloud from mobile device.

ssh

Built- in 802.1x encryption enables communication over Cisco LEAP Wifi

wifi_leap_80211

This is the screen of Wifi configuration covering WEP, WPA and 802.1x

wifi_wpa_cfg

All these is cool. All these is captured by ScreenShot. Have fun

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Finance2.0: New Business Models in Financial Services

Source: http://en.oreilly.com/webexsf2008/…/1117

Author: Paul Kedrosky

Web 2.0 technology has enabled revolutionary opportunities in the space of finance. Social networking, user generated content, and collective intelligence are disrupting a traditionally conservative and closed industry. A number of promising Web 2.0-style offerings now enable consumers to share ideas and strategies, learn from others, provide ratings, and filter for relevant content. Will individuals become smarter about spending and saving? Can the collective ratings and analysis of ordinary investors help to uncover market-beating stock picks? Will markets for financial services become more open, and therefore more efficient? Will consumer pricing come down, or even become free?

This panel addresses the current Finance 2.0 wave by presenting leading start-ups, providing innovative services based on new business models that really work.

Sub-themes

  • Free business models that work: real revenue streams, not just customer acquisition (e.g., Zecco, Prosper, Mint, UpDown)
  • Leveling the playing field for everyday consumers: removing traction from traditionally costly economic transaction processes (e.g., $0 stock trades at Zecco Trading, better interest rates for borrowers and lenders at Prosper)
  • Collective intelligence based on real user data: both quantitative and qualitative data on actual user behavior, addressing the long tail not just the top five or ten percent of consumer interest (e.g., ZeccoShare, Cake Financial, PredictWallStreet, Wikinvest)

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My comments and additional information >

Mint.com – Free personal money management. Check their blog

Zecco.com – Free online stock trading. Check their Community which contains Dashboard, Blog and Forums to collaborate

Prosper.com – Loaning at low rate. Check their Forum to hear of voice from developer, lender, borrower…

PredictWallStreet.com – you may enjoy to play game and contest in its community, where you can find an export to follow. And listen to how other members are saying. A latest list on August 21st shows a member – SilveRazor – made 389 predicts correct out of 586 evaluated. Cool!

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A combination of Cloud, Web2.0 and Infrastructure

Facebook, Joyent and Sun have partnered to provide free scalable, on-demand infrastructure from Joyent to Facebook developers. Joyent’s Accelerator on-demand infrastructure (peered with Facebook’s datacenter!) provides the very best load balancers, routing and switching fabric, x86 servers and storage from Sun. Facebook developers can take advantage of Joyent Accelerators to quickly launch Facebook applications capable of scaling to millions of users. All for free.

What’s Included?

A Joyent Facebook Developer Accelerator includes everything you need to develop and deploy your Facebook application. You get root access to a virtualized machine that includes all the tools for developing Facebook applications in PHP, Rails, and Python.

Note: We do not currently support Windows, and do not plan to do so in the foreseeable future.

How it works?

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