Introducing the PeopleBrowsr Kred API; Find influencers in 1,200 days of social data

By on May 15, 2012 in APIs

Today we are announcing a new API offering that gives developers and social media the ability to find influencers on any keyword or subject based on deep, public social data.

The PeopleBrowsr Kred API grants access to PeopleBrowsr’s filtered and indexed Datamine of hundreds of billions of social media conversations from the full Twitter firehose since 2008, public Facebook posts, 40 million blogs and forums, and other sources.  The API pinpoints people discussing any topic by their keywords, hashtags, bio, interactions, location or community.  User influence is scored with Kred, PeopleBrowsr’s exclusive measure for finding influential people in communities connected by common interests.

Here are brief descriptions of each class of the PeopleBrowsr Kred API:

Find Influencers

The ultimate API for social marketers to pinpoint influential people within the 120M active uses on Twitter. Reveal the Top Global Influencers and Outreachers by keyword, set of keywords, #hashtag, @name, location or even bio information.  Available with access to either the last 60 days of posts or the full Datamine of 1,200+ days.

Find Influencers API calls start at $1 each.

Deep Analytics

Access social data indexed by location, activity, gender, sentiment, and much more. Split into Author Inputs and Keyword inputs, this class includes Kredentials data, Historical Kred, Reach, Friends & Followers, Top US Area and others. Access either the last 60 days of social data or the full Datamine of 1,200 days. (Kredentials is only available at the 1,200 days level.)  Visual.ly Create uses Deep Analytics today for its self-service infographics tool.

The Deep Analytics API is available starting $0.10 per call.

Action Analytics

Instant access to real time aggregated social data by Keyword or Author. One click delivers valuable insights on keywords, hashtags, @names, top links, and more.  The API returns data for any time period – from minute by minute, to hour, to day, to month. Available at both 60 day access and 1200+ day access.  Mashable’s mRank leaderboards are reliant on Action Analytics for their data.

Action Analytics calls are available starting at $0.01 each.

Kred API

Add Kred Influence and Outreach scores to any web application. Enter in a twitter @name or ID and it will return the global Kred Score for any active user on Twitter.

The Kred API is free for up to 500,000 calls per day.

Pricing

Each API and class has simple pricing options depending on whether you need access to the last 60 days of social data or the complete Datamine of over 1,200 days.  We also offer discounts for high volume customers and early stage companies.

Drop by the PeopleBrowsr Developer Site, follow @kredapi for the latest news or mail us at api@peoplebrowsr.com to learn more about the capabilities of the PeopleBrowsr Kred, see examples of calls, and sign in for a key to start making!    

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Spredfast uses PeopleBrowsr social data from SXSW to illustrate low cost of social media influence marketing

By on April 13, 2012 in Case Studies, Influence

Spredfast, a social media management company based in Austin, used social data from the PeopleBrowsr Datamine to create compelling infographics about the impact of this year’s South By Southwest Interactive festival.

The infographics, which were featured at important marketing outlets like AdRants, Social Media Explorer and ReadWriteWeb, illustrate the volume, impact and influence of the first two days of SXSW.

Spredfast used our data to uncover the number of mentions of SXSW to then project the total reach of the event on Twitter.  Their work showed that over 1 billion potential impressions were served from SXSW in just the first two days (March 8-9), a dramatic example of how a relatively small group of people in the tens of thousands can quickly create worldwide awareness on a topic.

They then took their work a step further to show the huge media value that brand social engagement creates.  Jordan Viator Slabaugh, Spredfast’s Director Of Social Media, wrote last week on MediaPost’s Marketing Daily about how the cost of reach is decreasing exponentially for socially savvy brands and the increased opportunities for cost efficiency.

We love this research because it adds value to our data and proves out the high marketing value of creating deep engagement with natural communities formed around shared interests.  It bears out that committed one-to-one marketing creates opportunities to target and activate an audience cost-effectively.

Click on the infographics below for a full view or visit Spredfast’s original blog posts here or here to see more of their analysis.

 

        

(click images to enlarge)

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Mashable selects PeopleBrowsr API to power its mRank social buzz board

By on March 19, 2012 in APIs

Our friends at Mashable,  the largest independent news source dedicated to digital culture, social media and technology, have launched their mRank social buzz leader boards.  mRank tracks posts on Twitter, Facebook and blogs to give an instant view on a topic in real time.

The PeopleBrowsr API was the key to mRank’s viability.  Our API provides a comprehensive store of social data going back to 2008 and updates minute by minute.  As Mashable put it, “Our partner, PeopleBrowsr, eats the Twitter firehose for breakfast, then moves on to Facebook for lunch, with a dinner made up of the blogosphere. PeopleBrowsr knows data.”

“When Mashable needed real time social analytics for our mRank social buzz leader board, we chose PeopleBrowsr because they have a deep repository of current social data that’s indexed, filtered and ready to go,” said Robyn Peterson, CTO, Mashable.  ”The PeopleBrowsr API gives us easy access to public Twitter, Facebook and Blog posts, which we can efficiently build our apps upon.

“The social web gives off the kind of data exhaust we can all use as tea leaves for the future, if we could only collect and understand it.  This age has ushered in a true rise of data journalism: We all need to know the numbers, and try to understand them.”

We agree – and we developed the PeopleBrowsr API expressly to help organizations make sense of social data and find opportunities to learn and grow.

Mashable debuted its first mRank buzz board for the 2012 Oscars and posted a summary the next day, including a comparison to social media activity against the recent Grammys.  At SXSW, mRank tracked buzz about start-ups to determine which were the breakout stars of the snow.

Visit  Mashable throughout the year to see more mRank boards and examples of how the PeopleBrowsr API brings real time social data to life.

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Visually Create, powered by PeopleBrowsr API, launches at SXSW

By on March 12, 2012 in Announcements, APIs

Our friends at Visual.ly launched their new Visually Create platform today.  Powered by social data from the PeopleBrowsr API, Visually Create is a free automated tool for letting anyone – even non-designers – create attractive, engaging infographics based on deep social data.

Visually Create is a fantastic example of how the PeopleBrowsr API simplifies development of unique, fast custom applications built on social data.  With instant access to over 1,000 days of Twitter metadata 2008, Facebook posts and over 40 million blogs and forums, the PeopleBrowsr API instantly delivers incredibly social metadata to support any application.

Visually Create welcome screen

“We launched Visual.ly because we believe infographics are the future.  [Visually Create] lets anyone play with the power of data visualization, harnessing the best in design from our community,” said Stew Langille, co-founder and CEO of Visual.ly.

We love Visually Create because it demonstrates just one of the creative ways that social data from the PeopleBrowsr API can support business initiatives and applications.

Give Visually Create a try today and let us know how you like it in the comments below.

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Playground Tips: Honing In On The 1,000 Days Chart

By on January 17, 2012 in Playground, Tips and Tricks

Based on over 1,000 days of historical social data, PeopleBrowsr’s Playground is the most powerful social analytics platform available today.  With this depth of data, it’s crucial to have visualizations that easily guide your eye to important spikes in activity.

Playground’s 1,000 Days Chart, part of Search at http://rs.peoplebrowsr.com, lets you view over three years of conversations about any keyword or hashtag at a glance.  It’s also simple to drill down to the conversations on any day.  Just click on any date to instantly view the conversations that were occuring on that day about your keyword of interest.

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TNW Names Playground & Kred ‘Most Useful of 2011′

By on December 12, 2011 in Kred, Playground, Press

The Next Web

A big thanks to The Next Web, which named Kred and PeopleBrowsr’s social analytics platform, Playground, as one of its ‘Most Useful Social Media Tools of 2011‘:

[Playground] is a social media analytics tool which includes 1,000 days of Twitter data at your disposal. Kred, from the same team, is an influence measurement tool that is provides a very transparent analysis of user activity. Both of these tool combined can make your life a helluva lot easier.

Have you tried Playground or Kred yet?  Kred is always free for everybody at http://kred.ly and Playground offers a free 14-day trial.  Click over today to our site and give it a shot.  We would love to hear your thoughts on our platform.

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Kred now integrated into Playground

By on November 30, 2011 in Announcements, Kred, Playground

This entry cross-posted at our Kred Blog

Kred influence and outreach measurement is now integrated into Playground, PeopleBrowsr’s social analytics platform. Playground users can now instantly identify people with high influence within interest-based communities, by location and more.

Playground is now the first end-to-end social analytics platform to build in influence measurement based on 1,000 days of collective intelligence.

Here are two ways that Kred is now part of Playground, with more to come:

One-Click Kredentials

A Kred badge is now placed next to every @name in the Engagement and Search applications. When clicked, the Kredentials window opens to reveal a full profile of that person drawn from our 1,000 day Datamine of posts. With a single click, Kredentials sifts through billions of tweets to gather essential information including their Kred score, Top Communities, Followers, Mention Count, Frequently Use Hashtags, Most Mentioned @Names and a word cloud of their most used keywords.

Kred Integration in PeopleBrowsr's Playground Engagement Center

On-The-Fly Kred Influence Filtering

Kred power is now integrated into Playground’s filter rules. Along with the ability to target by gender, sentiment, links and urgency, people mentioning a keyword can be filtered by their Kred Influence or Outreach Level. Use this feature to instantly pinpoint people talking about your brand or product with high influence.

Kred Filtering in PeopleBrowsr's Playground Search

Kred in Playground helps you engage with your true target audience and with the people that matter most. Best of all, it’s available to all our customers at no extra cost.  Log on today for a 14-day free trial!

For more information, tweet us at @peoplebrowsr or mail to contact@peoplebrowsr.com.

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Kred Influence: The 50,000 Foot View

By on November 29, 2011 in Announcements, Influence, Kred

This entry is cross-posted on our Kred Blog.

Transparency is one of Kred’s touchstones. We think its important that everybody be able to instantly understand how their scores are calculated and – more crucially – what they mean.

In our post yesterday, we discussed how we arrive at an Influence score. Here we’ll discuss the distribution of Kred Influence scores to provide a greater context for your score. After all, a score without context is like trying to understand whether a person is dressed appropriately without knowing the weather or the event they plan to attend.

Distribution of Kred Influence scores

To create context for Kred scores, we generated a report on the scores of people who have Kred Influence greater than 200. (We started at 200 because people above that score have a history of activity, connections and interactions.) We then divided everyone into ‘bands’ bounded by Influence scores of 50 [(201-250, 251-300... 951-1,000)] to build a distribution chart.

Note that all the Influence scores discussed here are for Global Kred, meaning for a user’s Influence across all of Twitter. Scores and distributions within interest-based Communities may vary.

Global Kred Influence Score Distribution

About 42% of the people in the group we analyzed have Kred Influence scores between 201 and 450, 37% between 451 and 600, and 21% of above 600. At the top end of the chart, only 0.1% have Global Kred over 800.

At this writing, fewer than 200 people have the maximum Global Kred Influence Score of 1,000. Yes, Justin Bieber is one of our 1,000-point scorers. Other people who are well known for their influence on Twitter, like Lady Gaga, Ashton Kutcher and Barack Obama, are close behind.

For quick reference, percentile ranks of Kred Influence scores are spelled out in the chart below.

Kred Influence Percentiles Chart

The charts in this post were created from our data on November 11, 2011. We anticipate that there will always be changes in how scores map to percentiles, though the basic shape of the chart will likely stay the same. We will continue to update on our data periodically.

What does this mean to you?

Our mission with Kred is to let anyone understand their influence and find people who are influential about their interests. By doing so, we hope that this enriches your social media experience.

If you feel that a score is incorrect, we are happy to audit your Kred any time. Just click on the ‘Request Score Audit’ at the bottom of any page on Kred.ly and we’ll be happy to review it.

Influence measurement is still in its early days; we think of it as the equivalent of DOS to today’s modern operating systems. We welcome your suggestions for improving Kred. If you have an idea or would like to suggest other studies of our data you would like to see, leave us a comment on this post or tweet us at @kred.

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How We Calculate Kred Influence

By on November 28, 2011 in Influence, Kred

This entry is cross-posted on our Kred Blog.

One of our goals with Kred is to always be transparent. A great place to start is assuring that everyone can understand their score, how it got to be what it is, and what actions will increase it. In this post, we’ll reveal how actions produce Influence Points and how those points are assembled to generate Kred Influence.

Influence Points

Kred gives Influence Points every time there is an exchange that indicates someone inspired another person to take action: replying to them, mentioning them in a post, retweeting their content, or following them or their list.

Kred assigns 10 points for the most common actions like being @replied, retweeted or mentioned in a conversation. More points are given for events that have bigger impact, like having a message retweeted by someone with more than 10,000 followers.

Recent Activity with example of +25 Influence

How Influence Points Convert To Scores

Converting Influence Points To Kred Influence

After determining a person’s total Influence Points, Kred then translates them to a Kred Influence Score. Kred Influence is normalized on a 1,000 point scale, so the rate at which Influence points convert to an Influence score constantly changes as everyone in the social universe accrues points. The conversion rate varies within each interest-based community and changes over time as community members accrue more points and new people join in.

The ‘Points To Score Conversion Rate’ curve grows steeper as your Kred Influence Score grows: the higher your Kred Influence, the more points it takes to move up your Kred Influence Score by one point.

At the beginning of November, 2011, we looked at the Points To Score Conversion Rate at the Global level to see how many points it takes to increase Kred Influence by one point at different scores. You can see the results in the chart below:

Global Influence Points To Kred Score Conversion Rate, November 2011

We then graphed Influence Points against Kred Influence. As you can imagine from the Conversion Rate, the curve starts flat and becomes quite steep as it progressively takes more points to grow Kred Influence.

Kred Influence Points To Score Conversion

Kred Influence Points To Score Conversion

In a future post, we’ll talk about the overall distribution curve of Global Kred Influence Scores. If you have more questions about how Kred is calculated, we always keep a complete summary at our Kred Rules page and we will update these charts on a monthly basis. You can also ask questions in the comments below or tweet us at @kred.

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Why did #QantasLuxury go negative? What could have been done?

By on November 23, 2011 in Case Studies, Features

Yesterday we offered illustrations of the tweets from the #QantasLuxury social media incident.  Today let’s take a closer look at how it took off and what might have been done.

Who started the #QantasLuxury negativity – and why?

The initial #QantasLuxury tweet went out at 11:34am Sydney time.  The first 15 minutes of tweets were from people entering the competition and airing their fantasies of in-flight massages, showers and various movie stars serving drinks.

There were two negative tweets in the first 15 minutes. The negative ignition occurred at 11:49am when @monkeytypist (1,124 followers) retweeted the only two negative posts to that point:

and added one of his own:

In the first 90 minutes after the first #QantasLuxury contest tweet, @monkeytypist retweeted 14 negative posts and added three more of his own, making him by far the most active tweeter using the hashtag in its first hours.

A look at @monkeytypist’s Bio reveals that he likes “working for union members.”  This leaves us to speculate that the entire #QantasLuxury outbreak may have been ignited by a single person sympathetic to the union side in a labor dispute.

Iconic imagery comes later

Use of the hashtag continued to grow over the next two hours and tailed off as the day wound down. Approximately 48% of the total #QantasLuxury posts were retweets.  The rapid acceleration demonstrates how small close networks of people without large followings can have a significant effect on conversation theme.

#QantasLuxury Tweets and Retweets

The most retweeted links were a Qantas-themed Fail Whale by @kellulz (122 followers) and a ‘Downfall’ parody by @alexjbaldwin (300 followers).  These were not introduced until four and six hours, respectively, after Qantas’ initial tweet, underscoring that often the most memorable and viral images in a social media incident are not necessarily part of the cuing event.  Perhaps if Qantas had moved faster to quell the fire, these images would never have been created.

What could Qantas have done?

In the heat of a labor dispute where many people have an interest in bashing the company, there may in fact have been nothing that could have been done.  Nevertheless @QantasAirways stayed silent until nearly five hours after its initial tweet.  Tweets from 25 accounts represented 40% of the total retweets, so even select outreach could have made reduced the pain by a statistically significant amount.  Tellingly, both @kellulz and @alexjbaldwin had each tweeted several times before introducing their iconic images, both of which were later republished multiple times in the mainstream media.

A higher level of engagement that showed humility and a sense of humor may have helped defuse the situation before its most memorable links were conceived and reduced the number of tweets by a significant number.

As @kellulz himself put it:

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