2. Communicating with a large audience while keeping
the conversations personal.
Every day :
532 million Facebook status updates
400 million Tweets
2 million Buzz posts
…and growing exponentially.
The problem
3. Solution
• Building a conversation tree (stored data).
• Saving data from all
employees for suggesting
optimized answer
• Optimize conversations using
A/B testing
4. What is so special about ?
• First step is Smart clustering
5.
6. Examples for soda stream
group tweets that say or mean the same thing for example:
• I love soda stream
• cant stop drinking soda
• People that uploaded a photo to instagram of
soda stream
• People that just bought a soda stream device.
• People shared a soda stream article.
7.
8. What is so special about ?
• No other system provides social A/B
testing solution marketer use in
advertising.
• For example A/B test respond to
“ I love soda stream” with:
1. Thanks for the love.
2. What do you love about Soda
stream?
9.
10. What is so special about ?
• Grows stronger with its customers.
11. What is so special about ?
• Increases the ability to talk with large audience
by 100X
12. See a short video with soda stream example here:
http://www.screenr.com/aZJ7
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. Some brands are mentioned and approached so many times that it becomes impossible to respond and engage with their 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 more users working in 12mass system defining and responding to their audience, the 'smarter' the system becomes. The users are building anaesset on the platform t, an asset for them and for other uusers in the 12mass community.
The result is saving valuable time for every user, Increases 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.
