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Optimizing "Yo" Messages for Engagement

Yo Optimization, it's that simple.

We started with a simple premise: there are fundamental rules to eliciting the highest possible engagment on any given social network. For the hot new app “Yo” (that all the kids are using), there are very few variables to work with.

Independent Variables

  • Frequency of share messages (“Yos”) sent
  • Number of consecutive share messages (“Yos”) sent

Regressent Variable

  • Positive response (a “Yo” is received)

Hypothesis

There is an optimal strategy for eliciting a positive (“Yo”) response from another user.

Methodology

Due to resource constraints, we were only able to test the Number of Consecutive share messages. We did this by sending “Yos” at an interval of 1 minute to a statistically significant number of random “Yo” users. (Yosers?)

Findings

The optimial number of “Yos” to send is 2.

Conclusion

If we have seen further, it is because we stood on the shoulders of growth hackers. We have discovered that it is indeed possible to “hack” the “Yo” experience. If you’re actually interested in optimizing organic interactions (which works best on legitimate social networks like Facebook and Twitter), try running some experiments of your own at Naytev

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Naytev optimizes content for revenue.