Integrate Zendesk Chat (formerly Zopim) with Mention
About Zendesk Chat (formerly Zopim)
Zendesk Chat (formerly Zopim) is a an online marketing, live chat support and web analytics product that is offered as a SaaS model. The product enables companies to chat with visitors in real-time on their websites.
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 Zendesk Chat (formerly Zopim) data to Amazon Redshift
Load your Zendesk Chat (formerly Zopim) data to Google BigQuery
ETL all your Zendesk Chat (formerly Zopim) data to Snowflake
Move your Zendesk Chat (formerly Zopim) 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 Zendesk Chat (formerly Zopim) With Mention Today
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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.