The second premise of Engag.io is to allow a commenter to extract value from their commenting activity. That value is derived from the potential relationships that are developed over time by commenting with one another.
Although the social web has been shadowed by linking and sharing activity, commenting online is one of the strongest social media signal. It’s stronger than liking and sharing,- yet we weren’t able to systematically see the relationships from these conversations, until Engag.io came along.
Engag.io tracks the people you’re interacting with, and therefore is building an Interaction Graph for you, implicitely, and accurately. Fred Wilson described Engag.io as an io channel for social engagement in an exclusive alpha launch post.
The Social Interaction Graph we’re building is accurate because you can’t fake engagement. It’s implicit because you don’t have to change your activity, i.e. you comment as you normally would.
Here’s the flow Engagio is based on:
You go to the communities you care about, you comment, you make conversations, you meet connections, you discover new content & learn about your connections, you contact these connections.
The magic reveals itself as we tie the six C’s together and use the underlying data to give you a much needed visibility into your social engagement activity. After all, “the handful of communities that have dynamic conversations are still uniquely separated from each other”, as Arnold Waldstein astutely observed in his blog post Conversational Rant. But with Engag.io, we’re changing this paradigm and integrating your conversations in a smart way.
Why is this important? Because online advocacy is on the rise and an increasing number of users are engaging online and debating the issues that matter to them, whether business, technology, politics, lifestyle or hobbies related. Vibrant online communities are the future of web.
Not only has the quantity of comments increased, but so has the quality of comments to the point where the value of comments is often greater than the value of the post or article. So, why not focus on the parts that have the most value- the conversations and the people behind them.