An Intelligent Approach to Influence Measurement

Anyone who follows my blog knows that I’m not a big fan of Klout, or any service that oversimplifies the complex process of assessing online influence by boiling it down to a single number. However, I do think it’s important that organizations be able to understand the online influence of people they want to build relationships with.

Awareness Networks just announced a tool that takes an intelligent and customized approach to influence assessment. The Social Marketing Automation suite enables customers to identify patterns in public online conversations, extract profile information and create what amounts to custom Klout scores.

Here’s how it might work: A user could search Twitter for people who have engaged directly with a brand more than twice over the last month, have mentioned the brand more than five times and have more than a specified number of followers. The suite can also dig into publicly available profile information to add filters by location, profession or any other data that is publicly available on Facebook or Twitter. So if you’re looking for health care professionals in the Milwaukee area who frequently recommend Motrin over Advil, you can find them for prospecting or a targeted marketing campaign.

Awareness goes a step further by combining public profile data with conversation topics to create prospect databases. This information can be imported into CRM and marketing automation packages, easing what is usually a laborious manual process. Integration with Salesforce.com is built into the first product and most of the leading platforms will be added over time, according to Mike Lewis, VP of marketing at Awareness. This addresses the problem of lead quality, which is the biggest cause of sales waste.

Awareness doesn’t extract data from social networks directly but rather works with Gnip, a company that has license agreements with most of the top social networks to distribute their content. About the only major source Gnip doesn’t have is LinkedIn, which keeps its profile information close to the vest. But YouTube, Tumblr, WordPress and many other sources are pumped through its firehose.

Awareness Social Authority Dashboard

Competitive advantage is fleeting in this business, and I expect that others will quickly add this kind of functionality. Awareness’ strategy is smart: It will focus on providing the core data mining and filtering technology and work with partners to deliver results to whatever marketing or sales automation tool they prefer. Victory will go to the swiftest.

Pricing hasn’t been announced yet, but there’s a webinar set for Tuesday, Aug. 14 at 2 EDT at which more details will be discussed. Maybe you can pry some dollar figures out of the speakers then.

Full disclosure: I have been a paid consultant to Awareness on spot projects in the past, although I’ve done no work for the company in at least two years.

1 thought on “An Intelligent Approach to Influence Measurement

  1. Hi Paul,
    It’s great to find people approaching this problem (influence measurement) from different angle.

    We have “yet a different” approach. We scan the web of “writers” and looking at what they write about over time, how they are connected and more we identify the tribe of 10000’s of people relevant to a vertical/cause/subject area.
    We then enable marketers to sub-targets based on topics, location and influence.

    This way you can get things like, the 50 “urban influencers” that have talked about skateboard and not Vans in either twitter or their blogs in the last 3 months.

    Best

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