Integrate Zendesk with Mention
Zendesk is a CRM platform focused on creating a better, more personalized service experience for your customers by providing targeted support based on their specific needs. Zendesk can also organize valuable customer data - including user information, customer service history, and support tickets - and store that data in one place for you to access at any time.
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 data to Amazon Redshift
Load your Zendesk data to Google BigQuery
ETL all your Zendesk data to Snowflake
Move your Zendesk 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
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Zendesk's End Points
Store data about all of your users - including customers, support agents, and administrators - and track the interactions that they have using Zendesk. Use this data to address common issues and create a better overall user experience.
Sort your customers into organizations either manually or based on their email address. This can help you better understand your customers’ needs and more accurately assign support team members to them.
Create support tickets from a range of sources, including email, social media, and other customers support interactions. Use these tickets to track customer usage trends, which will guide your support system moving forward.
Monitor group composition, group availability, and the kinds of support queries that specific groups are tackling and use that data to increase the efficiency of your support workflow.
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.