Moz Partners With Bitly For Click Tracking And Link Data

Bitly announced today that it will provide click tracking technology and inbound link data to Moz to help users better understand who is linking to websites and how relevant those links are. The data ...
Moz Partners With Bitly For Click Tracking And Link Data
Written by Chris Crum
  • Bitly announced today that it will provide click tracking technology and inbound link data to Moz to help users better understand who is linking to websites and how relevant those links are.

    The data will use number and frequency of clicks to determine relevancy.

    Moz had been using Twitter link data to rank relevance, but Bitly’s will utilize Twitter as well as Facebook, Google+, blogs, and other sources.

    “The Bitly click dataset is hands down the broadest and most authoritative available to anyone looking for information on how their content and brand is performing across the web,’ said Moz co-founder and former CEO Rand Fishkin. “Marketers armed with these insights are able to build campaigns that are designed to optimize attention through content.”

    “Previously we were using just Twitter data to understand the relevance of shared content,” he added. “While that’s a great start, our clients are looking for a holistic view. Bitly’s click data gives us a much more comprehensive and accurate picture by looking at the entire web and drilling into actual clicks, which is more valuable than simply looking at how frequently content is shared.”

    Bitly CEO Mark Josephson said, “Bitly owns a unique view of how links are shared across the internet. Insights gleaned from our differentiated data set can help all marketers make better decisions. We’re excited to put this into action with Moz so their clients can better understand how content and links are shared across the Web.”

    According to the company, marketers can identify recently created URLs and links within seconds, and highlight the most clicked content for effective campaign management.

    Image via Moz

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