If you have ever managed social listening data you know what it feels like: you are struggling to categorize, manage, prioritize, route and take actions on that data. Its laborious, error-prone and not scalable. Offloading this work to an agency or a third party moderation service adds another layer for the brand with no clear benefit. Clearly, a new approach is needed.
The ideal solution should be flexible, repeatable, scalable and simple to use. Enter Adaptive Listening. It uses the popular IFTTT-style rules that uses social data and analytics as triggers and allows you to automate actions on social posts and trends in real-time.
Here’s an overview of Adaptive Listening. Simple enough for any one to use. Powerful to save you and your team hours of manual work every week. Smart enough to empower YOU to pick up signal from the noise.
Thre’s a lot more to Adaptive Listening than we can fit in one blog post. Get in touch with us to learn nore and see Adaptive Listening in action with your data. Fair warning: once you taste the power of automation you can never go back to manual work!
Automation used to be the domain of experts who could write scripts or snippets of code in special languages. Not any more. With our Adaptive listening engine YOU have the power to filter, segment and act on the data — all using English language rules that get triggered off of data elements. This is IFTTT (If This Then That) for social data, at scale.
Here are five things that you can do with Aaptive Listening:
- Create any number of powerful, Boolean matched expression with practically no limits on the number of terms – then use these expressions for laser-like narrowing of posts of interest from the vast sea of social data
- Segment data automatically for business use cases marketing, custome service, operations, corp communicatin and product teams.
- Create rules to match text in Twitter profiles and create ‘machine learned’ lists for those profiles
- Discover and detect brand advocates or detractors using metadata such as location, language, sentiment, influencer score in combination with keyword matching
- Bring in your own curated list of customers or prospects to listen what they are saying about your brand, competitors and industry
These are just a few examples of automated actions that can make your life easy and let you leverage the real potential of social listening.
Its time to make your data work harder. To learn more and try out Adaptive Listening, contact us.
As of April 30, 2015, Facebook has cut off access to the Graph API v1.0 and forced all apps to switch to 2.0. This new version does not have a public search capability like the current API, and this migration will cut off all access to Facebook public posts. This change will affect any and all apps that use the Graph API, which includes MutualMind, as well as all other social listening/intelligence platforms providing data on Facebook public posts.
As of this time, Facebook has not offered any equivalent replacement to their public posts search capability, paid or free. They have recently announced an offering with DataSift (called “PYLON for Facebook”), but this product does not currently offer individual posts for a given search, only a limited view of Facebook post statistics, and not the actual text created by users.
Our team at MutualMind is constantly reviewing the social data marketplace to find the absolute best enterprise data providers to power our platform. We are currently researching the DataSift offering, but do not currently have an implementation plan or timeline. We will be updating our users as that changes, and as we roll out new data sources and offerings for other social networks.
As always, you can add any Facebook pages (ones you manage, or any others) to your MutualMind campaign to track the posts and engagement from those pages. We will be rolling out features to expand this capability, and will share those as soon as they are released.
If you have any questions, please contact us at email@example.com.
We are pleased to announce our latest command center widget — the leaderboard. This widget displays top Twitter users based on three criteria: number of retweets within a time window, number of followers and Klout score.
We’ve also enhanced two of our most popular Command Center widgets. First, the Topic Cloud widget display has been enhanced. The Topic Cloud now comes with a slider on the left that allows you to adjust the number of terms you want to display on the topic cloud.
Second, the Heat Map widget has been enhanced with two additional filters: Klout and followers count – check it out below.
Contact us to get more or to see a live demo!