Traackr is a Way to Keep Score on People

And, according to Traackr CEO Pierre-Loïc Assayag, to predict someone's ability to gain influence through tracking specific conversations on the Web.

PL_150 I had the opportunity to speak at length with Assayag about the tool he and his team have built. At Traackr, the motto is that influence is a rich concept and doesn't fit any one bucket.

One definition is that influence is one's ability to affect willingly the behavior of people around him or her.

The fact that influence implies causality — influencer acts, people who are influenced act in return — means that it's not a simple idea that can be summarized by a handful of influencer archetypes or measured by how many followers and retweets you have on Twitter.

Context as driver in influence

Assayag says the main driver for this complexity is context which should be interpreted as:

(1.) Relevance (topical context) — influence is highly topical and gaining trust in a specific circle does not easily translate or expand in another. This is where they do the most work in Traackr's A-List to try to identify the specific niches of influence of people. 

(2.) Situational context — this talks more to the Gladwell archetypes in a way: people are good at different things at different times. Some will influence heavily a brand's product strategy, others will get millions to try your product, others will start a controversy in the industry, etc. By failing to recognize the situational context, you may be connecting with influential people outside their strike zone.

Access to search data across platforms

To figure out who is gaining traction on a topic, Traackr mines content on different platforms and scores authors against each other. Think of it as a specific search on the topic that matters most to you. A match will show you three distinct metrics:

  1. reach — the combined audience size
  2. resonance — the endorsements this person is receiving through comments, linkbacks, RTs, etc.
  3. relevance — calculated on the fly

Your lists refresh every Monday. As a subscriber, you can also customize the search results by keeping known content creators who influence your base on the list or excluding others, for example. The scores are dynamic, because content-based online conversations are a fluid process.

The scoring systems answer a couple of key questions:

  • are you connected to the right people?
  • how much respect do you get on a certain topic in the community?

The influencer monitor also tracks when people start talking about a promotion or product and what they're saying about it. Tracking online conversations is of course a piece of a bigger marketing puzzle. Traackr provides access to data and makes integration of the tool into your dashboard fairly easy.

Searches are scored against the company's database and off the Web. Right now, the technology is used by marketing and PR agencies (about 70% of their base) and corporations (30%).

Can you use the tool to gain insights?

Increasingly, better intelligence from uncluttered information allows organizations that have that capability to distill insights from the data to make better business decisions. You can conduct filtered searchs on specific markets, for example.

The answer is yes. You could be looking for something and uncover something else while searching.

Conversation Agent's Take

Marketers need better data and information. Rather than betting on one number, you can draw insights into who is engaging about a particular product or topic in your markets. Influence is not generic. It's very specific and contextual. Marketers on the client side cannot afford to go down the generic search path. Traackr delivers data on reach, resonance, and relevance and integrates with existing systems like

Agencies and consultancies can either develop a proprietary tool, or they will need to use a software robust enough out of the box to allow for an additional layer of intelligence delivered with their strategy. Test drive Traackr and compare notes with other software you have used.

Pricing: you pay for the Top 25 searches, and you can add as many as you want at no additional cost.


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0 responses to “Traackr is a Way to Keep Score on People”

  1. isn’t that literally what you can do? With this tool, you can see what people talk about, how often, how applicable to your topic, and with how many? Or am I messing up a proposition somewhere? It’s very possible I would do that. Thank you for the comment.

  2. A few months ago I discovered I was on Traackr’s PR2.0 Influencers’ A-List. But I only found out because a twittermate (@debweinstein) told me about it via a tweet. I have no idea when I first appeared on the list and at that stage the @traackr account wasn’t even following me (although @pierreloic and I have been mutual follows for quite some time).
    I liked the fact that my tweets generally scored higher than most others on the list (almost always with a much higher following counts–i.e., reach and resonance) in terms of “relevance.” On the other hand, I was mystified when the @mnpr account suddenly appeared out of nowhere and zoomed to the top of the list with 100 per cent relevance. (And has stayed that way for several weeks–position and relevance.)
    How relevant is it to clients (or potential clients) when almost all of his tweets are about PR jobs (especially in the Minnesota area)?
    Still, it’s a list I’m happy to be on, because I know I did absolutely nothing to GET ON (i.e., online friendships, mutual linking, etc.) or STAY ON it. If a third-party platform is analyzing my social media presence and deeming those oriented to “PR” relevant enough to get me on the list, that’s great to know. But neither will I be devastated if my number starts to drop or I disappear from the list entirely. Influence is relative to time and circumstances.

  3. I’m thinking that account is using a lot of the correct keywords to be on that list, even though context is just limited to PR jobs. When you use a Top25 list, you can choose to delete certain accounts and “keep” others that you know are relevant by favoring them. The limitations with algorithms continue to be around judgment and having the option to adjust manually is helpful.
    Exactly, influence is decided by the influenced.

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