Integrate Salesforce with Mixpanel
Salesforce is a CRM service that provides access to all sorts of useful data by logging and collecting customer interactions, regardless of where they take place. Whether it’s a phone call, a website transaction, or a post on social media, Salesforce can offer instant customer data, which allows for faster, more informed decisions when running a business.
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 Salesforce data to Amazon Redshift
Load your Salesforce data to Google BigQuery
ETL all your Salesforce data to Snowflake
Move your Salesforce 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 Salesforce With Mixpanel Today
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Salesforce's End Points
Track valuable lead information like who your leads are, their contact information, where they were first met and their contact status.
Store a contact’s name, mailing address and email, along with the date they were last contacted and the date they should be contacted again.
Create an account for any business or person that it may be useful to track. hen, use that account number to integrate and track any other important information associated with that account holder.
Create an opportunity when there is a sale - or a potential sale - by one of your accounts. Then, connect them to leads, contacts, and accounts to provide analysis for how profitable certain business ventures and campaigns are.
Track a product’s name, description and category. Then, use a product code to search for the product internally, track its progress, or incorporate new data regarding the product.
Track things like the budgeted cost and the actual cost of a campaign. Then, access fields - like how many leads were converted, new opportunities, expected revenue, etc. - that help you track how effective the campaign was.
Schedule events that are designed to help a business develop customer relationships and keep track of logistical data. You can also track if this event is related to a specific lead, contact, or opportunity.
Create objects specific to your company’s needs that better manage what types of data you collect from your interactions and data sources. You can either create a wholly new custom object in which you define all the parameters, or you can customize a standard object to better fit your needs.
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.