12Mass helps brands talk on social networks with large audiences significantly faster (by 100X) than any other method on the market. Using 12Mass, a brand creates dialog decision trees and optimizes its content using A/B testing.
2. Communicating with an audience that is
mentioning your brand every minute, while
keeping the conversations with them personal
and effective, is a challenge.
The problem
Above: Walmart’s tweets.
3. The solution: Use 12Mass
• Save messages in advance to
queue in bulk
• Use data of past responses to
suggest optimized answers for
future ones
• Optimize conversations using
A/B testing
4. Conduct Social A/B testing
Automatically A/B test your
responses to common tweets e.g.
location check-ins
Determine which response will
generate more engagement:
1. “What do you like best about
Walmart?”
2. “Is there anything we can help
you find this morning?”
There are billions of status updates generated each day on social media platforms. Walmart is mentioned so many times in different ways that it becomes almost impossible to respond and engage with your entire audience. It is time consuming and costly - if you want to do it right. In the words of a community manager,“we are only one voice out there”.But what if there was a way to communicate in a personal level with everyone out there?
Good, effective communication can be achieved by 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, your brand builds a unique tailored conversation tree based on the brand and the customer.
You are already providing different messages , why not AB test them? 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.