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Kred measures online influence in real-time

Tessa Reed
By Tessa Reed, Journalist
Johannesburg, 03 Oct 2011

Social analytics company, PeopleBrowser has unveiled an analytics tool that measures online influence, and offers contextual and transparent scores, which sets it apart from other social media analytics tools.

According to the company, because users are given an 'activity statement' in real-time, they are able to see how their every action affects their scores. The statement also shows the addition of new followers in real-time.

PeopleBrowser says site members' Kred scores are made up of an influence score and an outreach score. The influence score is a measure of the user's ability to affect people's actions, such as re-tweets and replies on Twitter and likes on Facebook, as well as the ability to attract new Twitter followers. The outreach score is based on the member's level of engagement, which includes initiating conversations, the person's ability to spread his/her content and his/her interaction with others.

“Kred scores are driven by relevance, and emphasise the importance of small, close networks of like-minded people,” the company says. The tool also offers individual scores for communities formed around a person's interests and affinities, the company adds. PeopleBrowser explains that higher scores are allocated to 'engaged and respected' community members, regardless of the number of Twitter followers they have.

The Kred Web site says access to the site will be processed as of 6 October, and the site is receiving an average 10 000 new sign-ups a day. According to the site, Kred also allows users to add their offline achievements, which are then added to their scores.

Mike Said, founder and strategist at brandStrategy, says influence-gauging services are “all about vanity, and not about really identifying reach and influence”. However, he argues that if Kred can change this, it will find a niche following, as well as a use. He points out that Kred will give users insight into how their influence is measured, because Kred's algorithm will be transparent.

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