Integrate LiveAgent with ChartMogul
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.
ChartMogul can turn new and existing business intelligence data into valuable analytics that companies can use to improve their market performance. ChartMogul can take subscriber data - both created within ChartMogul and imported from other data sources - and generate visualized analytics for a variety of metrics that SaaS companies care about.
Popular Use Cases
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
Bring all your ChartMogul data to Amazon Redshift
Load your ChartMogul data to Google BigQuery
ETL all your ChartMogul data to Snowflake
Move your ChartMogul data to MySQL
Integrate LiveAgent With ChartMogul Today
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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.
ChartMogul's End Points
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
Update customer data with custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.