Contact twitter influencers who talk or follow competitors and spark discussion on Bisq

## Learning Goal
To find out, if conversations with twitter influencers will have a significant impact on app downloads.

## Hypothesis
More interactions with twitter influencers will increase the social traffic share by 5%

## Metric
The current traffic share from social channels is 7% and the share within social of twitter is 9%.
We could measure the session increase and download numbers from twitter referrals in Google Analytics.

To improve analytics we could use download links that encode twitter as the source, which would work better for desktop client clicks. Unfortunately as Twitter is used mainly on mobile it will not be very easy to measure the exact impact of the experiment.

## Experiment
Find twitter influcencers in our field by using tools like https://moz.com/followerwonk/ to check influencers of our competitors. After finding them interact with each of them to get their public feedback on Bisq.

## Result
> _- What happened?_
> _- What data did we collect?_
> _- Anything unexpected?_

## Next Step
> _- Pivot or persevere?_
> _- Another experiment for this goal?_
> _- Do we need to clean up?_

Start with the experiment description and review the current social and Twitter traffic shares in Google Analytics. Identify relevant Twitter influencers using the linked Followerwonk approach, conduct the proposed interactions, and record the collected data, unexpected results, and a pivot-or-persevere decision in the Result and Next Step sections.

Written by the indexing model from the issue text.