Integrate HubSpot with Mixpanel
Hubspot’s services are centered around sales and marketing tools that help a company refocus their marketing efforts into inbound marketing. With Hubspot, a company can create content that attracts leads that are already interested in that company’s products and services. Then, users can take advantage of Hubspot’s marketing tools to collect contact information and customize visitors’ experiences so that they are more likely to make the conversion from interested leads into happy customers.
Mixpanel gathers product usage data, including metrics like what features are being used most frequently, the number of active users, and when user engagement rises or drops. It also automatically collects data on all user actions and uses that data to provide a variety of useful insights, such as automatic suggestions for how to improve customer retention and lead acquisition. Since usage data is collected from the start, Mixpanel can also track newly defined metrics using historical data.
Popular Use Cases
Bring all your HubSpot data to Amazon Redshift
Load your HubSpot data to Google BigQuery
ETL all your HubSpot data to Snowflake
Move your HubSpot data to MySQL
Bring all your Mixpanel data to Amazon Redshift
Load your Mixpanel data to Google BigQuery
ETL all your Mixpanel data to Snowflake
Move your Mixpanel data to MySQL
Integrate HubSpot With Mixpanel Today
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HubSpot's End Points
See information on your various email campaigns and judge their large-scale success based on the status of the emails in that campaign i.e.how many emails were sent, delivered, opened, etc.
Retrieve basic contact information like name, e-mail, unique ID, etc. This allows you to track those contacts in a number of other fields, which will help you score leads and gauge how effectively your customer interactions are translating into sales.
Group your contacts together automatically based on a set of criteria - such as their lifecycle stage - or add them to a list manually. Then, use those lists to design targeted customer interactions, such as email campaigns.
Track the status of various email subscriptions through a range of data, including who is subscribing, when emails are being sent and how the recipient is responding to the emails i.e.remaining subscribed, unsubscribing, reporting the email as spam, etc.
Observe the activity on an individual email event. You can track the recipients and campaigns that those events are linked to and then see how the recipients interacted with the event i.e. if they opened the email, printed it, marked it as spam, forwarded it, etc.
Create a company entity in Hubspot by providing details, such as name, ID, and relevant description. You can access that company record to maintain and retrieve related data (such as associated contacts) which can then be tracked, analyzed, and/or integrated with other data sources.
Track the progress of a deal in your pipeline, allowing you to see which contacts and companies are associated with the deal, what pipeline the deal belongs to, and its current stage in the pipeline.
Mixpanel's End Points
Get any or all raw event data that has been collected by Mixpanel, including what events have occurred, when they happened, and any relevant properties about those events. Then, integrate this raw data with other data sources to get new or deeper usage analytics.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather event data that is filtered into segments by an array of properties, such as date range, country, and specific search terms. Then, use that filtered data to get deeper, more detailed analytics into your product performance.
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, you can feed that data into your analytics to provide a more comprehensive view of your retention trends over time.