6. 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 …..
7.
8. 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. …
9.
10. What is so special about ?
• Increases the ability to talk by 100X
11. What is so special about ?
• Grows stronger the more you use it.
12. See a short video about Red Bull example here:
http://www.youtube.com/watch?v=LOQl21ftjL4
Editor's Notes
Let's start with addressing the problem, which is how to communicate with a large audience on social networks while keeping the conversation personal, focused & efficient. There are billions of status updates generated each day on social media platforms. Redbull ismentioned and approached so many times that it becomes impossible to respond and engage with your audience. It is time consuming and costly - if you want to do it right. In the words of a community manager of a well-known soda company “we are only one voice out there” But what if there was a way to communicate in a personal level with everyone out there?.
Recommending the best template response based on statistical data retrieved from other users. In this way, we are able to build an optimal decision-tree of responses. This way a brand is building a unique tailored conversation tree based on the brand and the customer.
Use of sophisticated AI (Artificial Intelligence) tools: 12mass's helps to divide one’s audience into groups and sub-groups of similar statues updates. A scoring algorithm provides a quality score to indicate how homogenous the responses to each search are.
12mass provides A/B testing to responses sent out to each group. Using A/B testing, a brand can optimize their conversations in a manner similar to the way testing in advertising works. This feature is unique to 12mass; it simply does not exist in other platforms developing engagement tools.
The result is saving valuable time for every user,incresing the ability to talk with large audience by 100X, whether in terms of providing support, marketing efforts, receiving feedback or enhancing relationships with customers and potential leads.
