Post on 29-Jun-2015
description
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 …..
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