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Twitalyzer is a free service that works for any Twitter account!

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Get Help with Twitalyzer

We're glad you're here and we're happy to help you figure out how to better use Twitalyzer. To that end we have videos, definitions, frequently asked questions, a list of product features, and a 50 page Twitalyzer Handbook that should answer most of your questions.

If you're not finding what you're looking for here please don't hesitate to contact us directly:


We sincerely hope you enjoy your use of Twitalyzer as much as we enjoy supporting the product!

Frequently Asked Questions

What is Twitalyzer?

Twitalyzer is the Social Media industry's most popular, most widely used analytics application. Used by over 400,000 people, Twitalyzer is changing the way that businesses and individuals think about their investment in Twitter and other short-messaging services.

What's new in Twitalyzer 3.0?

Tons and tons of stuff, so much so that we created this PDF document that you can download and read at your leisure.

What's the best way to learn Twitalyzer?

Funny you should ask. We have created a full 54 page handbook to Twitalyzer 3.0 that you can download and read at your leisure! The download is huge but worth every byte!

We've also started creating Twitalyzer "How To" videos and publishing them in a playlist on YouTube. If you have a few minutes you should check them out.

How much does Twitalyzer cost?

Nothing, Twitalyzer is and always will be free. At Twitalyzer we believe that Social Media is something that every business should be participating in but we recognize that not everyone wants to pay for insights. Rather than paying for basic, crappy data, why not use Twitalyzer to gain real, actionable insights about Social Media?

Now, if you want some more advanced features like automatic processing, full data export, regular email and alerts, and multiple accounts, we now have three different Twitalyzer subscription plans for individuals, businesses, and agencies.

Do I need to sign in to use Twitalyzer?

Yes, you do, but all we ask you to do is "Sign in with Twitter". You can get any individual's summary report, and use our benchmarks and search service without signing in, but we believe that there is a ton of value in Twitalyzer and that our service is well worth signing in for.

Does Twitalyzer auto-tweet my results?

No, we used to do that but we quickly realized that auto-tweeting is a crappy thing to do to people. Since so many of our users are businesses and Social Media experts we have opted to let people keep their scores more quiet. Of course, you can Twitter nearly any piece of information we provide by simply clicking the "Tweet" button in the upper-right corner of most reports.

What do all the terms you use in Twitalyze actually mean?

Funny you should ask. We have a complete list of definitions of all of the measures and metrics used in Twitalyzer a little lower down on this page. Unlike some applications we're huge fans of transparency! You should know how your scores are calculated, and those scores should be calculated based on the simpliest, logical measures ... not some complex and hidden "algorithm" (sic) made up from 25 data, most of which are inaccurate, redundant, or just plain wrong.

How can I learn more about Twitalyzer?

We too are pretty transparent. You can contact us using any of the information found at the top of this page. We love to hear from fans and foes alike!


If you think we're missing a question that needs an answer, please Twitter us and let us know!

Definitions

Clout, as defined by Twitalyzer, is the relative likelihood that an individual's Twitter username will appear when searched for in Twitter.

Generosity, as defined by Twitalyzer, is the percentage of updates in which a user retweets other people.

Engagement provides a measure of the type of interaction the user has in Twitter by examining the ratio of people referenced by the user to the number of people referencing them.

Followers are the number of followers reported by Twitter for the user the last time an analysis was conducted. If the number of followers looks wrong to you, update the user's profile.

Following is the number of people the user is following as reported by Twitter for the user the last time an analysis was conducted. If the number of people being followed looks wrong to you, update the user's profile.

Hashtags Cited are the number of updates that included at least one hashtag (evidenced by the presence of "#") published in the seven days prior to the last analysis.

Impact, as defined by Twitalyzer, is a combination of the following factors:

  • The number of followers a user has
  • The number of unique references and citations of the user in Twitter
  • The frequency at which the user is uniquely retweeted
  • The frequency at which the user is uniquely retweeting other people
  • The relative frequency at which the user posts updates

Influence is the likelihood that a Twitter user will either A) retweet something the user has written or B) reference the user. While this definition is similar to clout, influence takes both retweets and references into account, whereas clout only looks at references.

Lists reports the number of Twitter lists the user was a member of when the last analysis was conducted. If the number of lists looks wrong to you, update the user's profile.

Referenced reports the number of times the user had been referenced or cited by other people in the seven days prior to the last analysis based on the presence of a “@” proceeding their Twitter username.

Referencing Others reports the number of times the user wrote or responded directly to other people as indicated by the presence of an @username at the beginning of the update.

Retweeted reports the number of times the user had been retweeted by other people as indicated by the use of "rt @", "rt@", "rt:@", "rt: @" , "retweet @", "via @", "retweet :@", or "r/t" in the seven days prior to the last analysis. We are also now tracking Twitter-specific retweets.

Retweeting Others reports the number of times the user had retweeted other people as indicated by their use of "rt @", "rt@", "rt:@", "rt: @" , "retweet @", "via @", "retweet :@", or "r/t" in the seven days prior to the last analysis. We are also now tracking Twitter-specific retweets.

Signal, also referred to as "Signal to Noise Ratio", indicates that one of the following is present in measured updates:

  • A hyperlink containing "http://"
  • A reference to another person as evidenced by the "@" symbol
  • A hashag as indicated by the "#" symbol
  • Some type of indicator that the update is retweeting someone else

Twitter Ratio is the ratio of followers to people the user is following. The Twitter Ratio has been characterized as a way to determine how much heat a Twitter user is packing.

Unique Referrers is the number of unique people who referenced the user in the seven days prior to the last analysis.

Unique References to Others indicates the number of unique individuals the user wrote or responded directly to in the seven days prior to the last analysis as indicated by the presence of an @username at the beginning of the update.

Unique Retweeted (or, more succinctly, "Unique Retweets of Others") is the number of unique people the user retweeted in the seven days prior to the last analysis. We are also now tracking Twitter-specific retweets.

Unique Retweeters is the number of unique people who retweeted the user in the seven days prior to the last analysis. We are also now tracking Twitter-specific retweets.

Updates is the number updates published in Twitter in the seven days prior to the last analysis. If the number of updates looks wrong to you, update the user's profile.

URLs Cited is the number of updates that included at least one URL (evidenced by the presence of "http://") published in the seven days prior to the last analysis.

Retweets per 1,000 Followers normalizes the number of retweets of the user relative to their follower base.

References per 1,000 Followers normalizes the number of references to the user relative to their follower base.

Retweet Ratio reports the relationship between retweets of the user to retweets of others by the user.

Reference Ratio reports the relationship between references of the user to references to others by the user.

Klout's K Score is a measure of the impact of opinions, links and recommendations across an individual's social graph. This score is calculated and provided by our friends at Klout.

Want Access to the Twitalyzer API?

As you can imagine we have a tremendous amount of information about hundreds of thousands of active Twitter users. If you're interested in our API or having a totally customized version of the application for your clients, please email Jeff at Twitalyzer directly.

Who is behind Twitalyzer?

The Twitalzyer is one of those projects that you sometimes start and a few weeks later look back on and say "Wow, that certaintly didn't go exactly as I had planned." Authored by Eric T. Peterson, author, blogger, and founder of the web analytics consulting group Web Analytics Demystified, and supported by a great community of analytics wonks around the globe, Twitalyzer has taken on a life of its own already. In May 2009 Jeff Katz joined Eric in a product management capacity at Twitalyzer and is diligently helping Eric plan for product growth and system scalability.


Eric Peterson


Eric T. Peterson, CEO, Web Analytics Demystified

Eric has worked in the web analytics industry since 1998 where he got his start at WebTrends Corporation in Portland, Oregon. During the last economic meltdown he moved to San Diego to take a job as a Strategic Business Consultant for WebSideStory (now part of Omniture) prior to writing the widely read and critically acclaimed Web Analytics Demystified.

Since then Eric has authored two other books (Web Site Measurement Hacks with O'Reilly & Associates) and The Big Book of Key Performance Indicators) and any number of white papers, research, and blog posts largely on the subject of measurement and analytics.

You can follow Eric in Twitter (@erictpeterson) and if you're really, really into measurement you may dig his blog, Web Analytics Demystified.


Jeff Katz


Jeff Katz, Head of Product, Twitalyzer LLC

Jeff has over 17 years of combining business and technology insight in various product development, strategic consulting, and data analysis roles. Jeff has been an independent consultant since 2006 where he has worked closely with his clients to ensure that their online business initiatives become a reality via comprehensive digital strategies.

Prior to joining Twitalyzer Jeff was a product manager at WebTrends in Portland, Oregon. Previous to that he was worked for large and very small technology companies in Silicon Valley, Route 128 (go #redsox and #celtics) and Tel Aviv, Israel in various product management and data analytic capacities.

You can follow Jeff in Twitter (@katzpdx)


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Twitalyzer is Copyright 2010 Twitalyzer, LLC and is a product of Web Analytics Demystified, Inc.




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