Integrate Codat with Mention
Codat is an API that allows for seamless, straightforward integrations with accountancy and financial software systems. By simplifying the integration process, it allows users to take their mind off of ETL and shift their focus to improving their business and their core offerings.
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 Codat data to Amazon Redshift
Load your Codat data to Google BigQuery
ETL all your Codat data to Snowflake
Move your Codat 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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Codat's End Points
Add company entities and organize them by various properties, including contact details, company name, registration number, etc. Then, retrieve this information as necessary or integrate it with other relevant customer platforms.
Use the bills resource to integrate your billing and organize it based on various properties, including ID, status, issue date, and currency. You can also retrieve all bills for a company as necessary to ensure that your information is always accurate and comprehensive.
Keep a record of the reduction in amount owed to a company resource by a customer. This information may also be linked to an invoice in the underlying accounting platform.
Monitor data on any invoice that was sent to a client. This includes both basic details about the invoice and details about the current status of the invoice i.e. if it was sent, paid, disputed, etc. This data can help you get a clearer view of your expected revenue gains and losses, which can help you to run accurate predictive analyses.
Gather data about payments made on the invoices that you have sent to your clients. Use this data to track how much you are making from specific customers or during specific time periods. This will allow you to hone your marketing efforts and score leads more effectively.
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.