The team at Klout did a great job launching a new way to measure influence and engagement on Twitter. By their description, they are “The Standard for Influence.” That puts them in the hot seat to deliver a reliable metric that social media managers and marketing executives can trust as a turnkey standard. Along the way, they have also stirred up interesting analysis and experiments with Klout’s measurements and methodologies.

As social media managers tasked with running successful Twitter engagement campaigns, we have over 200 Twitter measurement tools from which we can choose, including Klout. However, using scoring methodologies to manage ongoing twitter campaigns is risky. Though I am not a Klout expert, I do use Klout daily to monitor my personal score. However, when matched against the most important activities in Twitter campaign execution, it’s my view that focusing on higher Klout scores fails to make Twitter marketing campaigns more effective and more influential for three key reasons.
Measurement without explanation
Klout scores are public, but the algorithms behind them are private. This is important so that folks don’t figure out and “game” or cheat Klout’s algorithms and render them valueless. As such, for Twitter analysis needs, Klout scores do not provide robust measurement that leads to testable explanation of Twitter influence and engagement. For example, if a Klout score drops from 40 to 30, marketers using Klout can only guess that user’s influence has dropped, but there’s no way to extract the explanation as to why the score changed. Without that sort of explanation, a Twitter campaign manager can’t determine what resources are required to reach the target Klout score. Measurement without explanation is not actionable in marketing. For Twitter campaigns, I don’t see how Klout can give deep measurement insights without sacrificing more transparency into its algorithms.
Optimization of Score vs. Optimization of Campaign
When managing a Twitter engagement campaign, it’s easy to use an improvement in Klout score as evidence of campaign success. After all, Klout is an independent measure. Of course, one can try to target Klout achievements as an indicator of campaign success, but Twitter marketing campaigns should be optimized according to the specific business goals of the total Marketing campaign. Tools that measure campaign effectiveness relative to goals would be a more effective than independent third-party measurements that give more general evaluations.
Klout is not predictive
Klout scores are not predictive of Twitter campaign success or failure. Specifically, we cannot use Klout to predict whether our campaign achievement or Twitter marketing ROI will increase or decrease due to a higher or lower Klout score. A Twitter campaign marketer cannot correlate specific Twitter engagement activities with target Klout scores because of Klout’s transparency limitations. If you’re looking for a predictive model, it would be best to determine what campaign activities correlate with goal achievement and optimize toward a campaign target. If your Twitter campaign tools don’t tell you this, then you’re just guessing.
Are you using Klout to measure your Twitter marketing campaign effectiveness and ROI? If so, share with us how you optimize and predict engagement trends. With so many tools, there must be smart ways to do this online.









The path that ultimately led me to Terametric began as a bit of a quest. Working for years in the marketing and advertising industry, I’d fielded client and executive questions of measurement and performance hundreds of times.






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