Integrate Slack with Mention
Use the Slack integration to get vital information about your organization, your team, and their habits or productivity.
Mention monitors conversations about a brand by tracking any time that the brand is mentioned on a range of online platforms, including social media, blogs, or news outlets. Mention can then analyze the sentiment of those conversations and send that information to users in the form of alerts. This data also allows Mention to gauge overall public sentiment and reputation of a brand. If those metrics seem particularly unusual - i.e. if there is a spike in negative public sentiment - they can send notifications immediately so that changes can be made.
Popular Use Cases
Bring all your Slack data to Amazon Redshift
Load your Slack data to Google BigQuery
ETL all your Slack data to Snowflake
Move your Slack data to MySQL
Bring all your Mention data to Amazon Redshift
Load your Mention data to Google BigQuery
ETL all your Mention data to Snowflake
Move your Mention data to MySQL
Integrate Slack With Mention Today
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Slack's End Points
Gather and set information on members of your Slack team: get a user’s identity, find a user with email addresses, set user profile pictures, and more.
Get info on your team's Slack channels, create or archive channels, invite users, set the topic and purpose, or mark a channel as read. Use this information to track and improve company communication.
Interface with all kinds of conversations, including public conversations, private channels, and direct messages.
Get info on files uploaded, upload new files, and control things like file sharing, filters, and file information.
Group and User Group
Get info on your team's private channels, or groups, and on your team's user groups.
Mention's End Points
Create or modify a Mention user account, including the user’s contact info, how often they receive alerts and what kind of access they have to the data on Mention. This allows you to ensure that users can operate as efficiently as possible and interact with Mention in a way that creates the best workflow for them.
Retrieve a list of mentions that have been tracked by your alerts, which can be filtered by a number of parameters including source, date range and tone. This query then returns details - like description, source and author’s influence score - about the relevant mentions, allowing you to gauge if the mention warrants a response.
Define the parameters of an alert, such as the alert’s name, query terms and tracked sources. Then, retrieve data about the mentions that have triggered the alert, including how many mentions there are and how important it is to respond to them.
Design tags, which can be used to filter responses generated by your alerts. Once a tag is created, you can either fetch all the Mentions with that tag in them or use the tag as one of many parameters to filter queries about the mentions in an alert.