Integrate Mention with LiveAgent
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.
LiveAgent help desk software organizes and streamlines your customer support data, allowing you to stay closer to your customers and answer their questions faster. In the long term, this increases overall customer satisfaction and brand loyalty, allowing businesses to build and maintain strong, lasting customer relationships.
Popular Use Cases
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
Bring all your LiveAgent data to Amazon Redshift
Load your LiveAgent data to Google BigQuery
ETL all your LiveAgent data to Snowflake
Move your LiveAgent data to MySQL
Integrate Mention With LiveAgent Today
Free 7-day trial. Easy setup. Cancel any time.
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.
LiveAgent's End Points
You can add each contact into a company to better understand an organization’s customer satisfaction and keep track of what each company is requesting as a whole.
Agents can both provide support services and supervise the LiveAgent system. Key tools - like agent performance reports, agent ranking, and gamification - help improve agent morale and efficiency over time.
Add tags on your tickets to group them together by topic or to differentiate important customers. Then, use these tags to easily sort and filter through your tickets for faster response times and increased satisfaction.
Every time someone contacts you, a new contact is created in LiveAgent. You can then read information about your customers - including basic contact info, language preferences, and any customer data captured in user fields - and use this information to inform and improve interactions.
LiveAgent has built-in chat and features like ticket merging and GIFs in tickets that make conversations more efficient, useful, and effective.