Securely integrate ChartMogul with LivePerson
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.
LivePerson’s artificially-intelligent chatbots automate approximately 70% of customer inquiries, allowing you to scale your business without the overhead of hiring new staff. As an AI-powered chat platform, LivePerson offers a comprehensive service that simplifies the process of building, managing, and finetuning chatbots to support your business goals.
Popular Use Cases
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
Bring all your LivePerson data to Amazon Redshift
Load your LivePerson data to Google BigQuery
ETL all your LivePerson data to Snowflake
Move your LivePerson data to MySQL
Integrate ChartMogul With LivePerson Today
Free 14-day trial. Easy setup. Cancel any time.
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.
ChartMogul Custom Attributes
Update customer data with ChartMogul 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.
LivePerson's End Points
LivePerson Messaging Channels
LivePerson's AI chatbots engage your customers via the messaging channels they're already using. You can embed LivePerson into your website and mobile apps to answer customer questions while they're using your service or browsing your products. Your LivePerson chatbots can also communicate with your customers via SMS, Apple Business Chat, Facebook, Twitter, WhatsApp, Google RBM, Email, Line, and Google AdLingo.
LivePerson AI-Powered Chatbots
LivePerson chatbots can address approximately 70% of your customer's questions by using a powerful AI engine that was taught with decades worth of consumer data. The platform includes AI templates with prebuilt dialog flows and advanced natural language processing features that get your chatbots up and running in no time. LivePerson makes it easy for non-tech-savvy employees — including your customer service reps and content creators — to develop and finetune chatbots from scratch.
LivePerson Call-to-Message Features
LivePerson includes a feature to turn the phone calls you can't answer into messaging conversations. If customers call and need to wait on hold, this function gives them the chance to start a messaging conversation and get help immediately rather than wait on hold or wait for a returned phone call. According to LivePerson, 8 out of 10 customers choose to message when offered the chance to stop holding. In this way, LivePerson reduces the number of telephone reps your business requires, as chatbots can answer frequently asked questions, schedule appointments, and more — without the need for human employees.
LivePerson Advanced Management Tools
LivePerson includes features that put managers at the center of messaging conversations, like a web-based workspace where you can monitor and control all conversations between customers, bots, and agents. Meanwhile, with bot-assisted messaging, agents can manage multiple customer-bot conversations at once from a desktop computer, laptop, or mobile device. This allows agents to intervene when required for more positive customer experiences. LivePerson even provides real-time feedback on conversation health, so your agents know which conversations most urgently require their attention.
LivePerson Analytics and Metrics
The LivePerson platform tracks and analyzes all aspects of customer messaging conversations by monitoring information like chat duration, customer intent, conversion stats, and customer satisfaction levels, so you can gain key insights from your customer messaging conversations. These insights will help you improve chatbot interactions while providing ideas for improving other areas of your business, products, and services.