12 mass and secret deodorant
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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.
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12 mass and secret deodorant
- 1. Scaling up micro-conversations How to effectively engage with more customers using 12Mass * Please read notes attached to presentation
- 2. Communicating with a large audience mentioning your brand while keeping the conversations personal and effective is a challenge. The problem A Twitter search for “SecretDeodorant
- 3. The solution: Build dialogue decision trees. • Save data of past responses to suggest optimized answers • Optimize conversations using A/B testing
- 4. What is so special about ? • Smart-clustering of tweets • Increases the team’s ability to talk by 100X • Grows stronger the more you use it.
- 5. Examples for SecretDeodorant : Group tweets that say (or mean) the same thing, like: • “I love Secret Deodorant “ • I hate deodorant stains • Instagram uploads of SecretDeodorant • "I need a deodorant ”
- 6. Social A/B testing A/B test your responses to a typical tweet. ( e.g. “I hate deodorant stains” Which of these responses will generate the most engagement? 1. How much do you hate deodorant stains ? 2. We also don’t like deodorant st 3. Check out the new secret 4. …
- 8. 1) Save responses to a search 2) Sort tweets according to influence rank (optional) 3) Proof-read and edit responses before sending them 4) Send out in bulk 12Mass in 4 simple steps
- 9. Schedule for a live (online) demonstration of 12Mass today a@12mass.com
Editor's Notes
- There are billions of status updates generated each day on social media platforms. Tesco is mentioned and approached 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 of a well-known 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?
- 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.
- Use of sophisticated AI (Artificial Intelligence) tools: 12massdivides your audience into groups and sub-groups of similar status updates. A scoring algorithm provides a quality score to indicate how homogenous the responses to each tweet search are.The clustering of similar tweets makes it much easier to respond to them in bulk (after personalization, of course).The result is the saving of valuable time for the team, which can be channeled to even better customer support, marketing efforts, receiving feedback or enhancing the brand’s relationship with customers, especially after A/B testing.With more searches and data collected, the team will only be more and more efficient and effective on Twitter.
- 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.
- Save template responses to be sent in bulk (Queuing) after editing/personalization e.g. adding person’s nameSort people according to time, influence ranking, number of followers, etcOther features include:- One stop access to all direct @UKTesco mentions ready for easy reply (i.e. queuing responses to them)- Doing people searches (according to bios)- RSS Feed- Tweet Scheduler