Scaling up micro conversationGrowing wings for red bull On twitter

Communicating with a large audience while keeping the conversations personal and efficient.

The problem

Solution: Building dialog decision trees.

• Saving data of past responses to suggest optimized answers

• Optimizing conversations using A/B testing

What is so special about ?• First step is Smart Clustering

Respond to all of them and A/B test the responses.

Examples for Redbull group tweets that say (or mean) the same thing, for example:

• “I love Red bull “• “drinking red bull” now• “Watching Redbulltv”• Checking in to a redbull event • People that uploaded a photo to instagram of

redbull• "I need wings" -rt redbull• People RT something associated with Redbull • Students drinking Redbull during exams

The list is endless …..

http://www.youtube.com/watch?v=LOQl21ftjL4

Social A/B testing

A/B test responses to “ I love redbull” Which of these will generate the most engagement?

1. How much do you love redbull?2. Thanks for the love.3. We love you back!4. …

What is so special about ?• Increases the ability to talk by 100X

What is so special about ?• Grows stronger the more you use it.

See a short video about Red Bull example here:

http://www.youtube.com/watch?v=LOQl21ftjL4