Integrate Mention with Aftership
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.
Aftership is a shipment tracking platform designed to be built into a company’s website as a branded tracking page. It provides customers with details about a shipment, including what courier is delivering the package, where it is, and when it is estimated to be delivered. For the retailer, Aftership reduces logistical workload by monitoring the status of a shipment and automatically sending updates to customers as that status changes. It also helps retailers identify and respond to problems in their delivery systems by providing analytic reports on how many shipments were sent, delivered, lost, etc.
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 Aftership data to Amazon Redshift
Load your Aftership data to Google BigQuery
ETL all your Aftership data to Snowflake
Move your Aftership data to MySQL
Integrate Mention With Aftership 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.
Aftership's End Points
Create or receive tracking details for a shipment, including its carrier, destination, tracking number and the checkpoints that it has reached. This data can be used to set up customer alerts or to provide detailed analytics about your shipment history.
Retrieve a list of couriers that are activated on your Aftership account or related to a tracking number for a specific shipment. The returned data will include the name of the courier, their contact information - website, phone number, etc. - and the fields required to track shipments that they are delivering.
Receive information about the last checkpoint that a shipment has reached, including the courier, location, status, and the time that it reached the checkpoint. Then, you can use this data to send status updates to customers containing the most recent information available for their deliveries.
Get a list of which customers receive notifications for a particular tracking number and how they receive them i.e. via email, SMS, etc. Then, use this endpoint to add or remove customers from that list to ensure that customers only receive relevant notifications in their preferred manner.