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.
Pipedrive creates a visual sales pipeline that allows businesses to better manage each stage of their deals. Additionally, Pipedrive provides detailed analytics that show how many deals are won and lost, what stages they are lost at, and how individual agents are performing based on various metrics.
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
Bring all your Pipedrive data to Amazon Redshift
Load your Pipedrive data to Google BigQuery
ETL all your Pipedrive data to Snowflake
Move your Pipedrive data to MySQL
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 Mixpanel 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 Mixpanel data into your analytics to provide a more comprehensive view of your retention trends over time.
Retrieve information - like deal ID, associated users, estimated timeline and expected revenue - about any deals that your company has engaged in. This will allow you to better gauge the profitability of individual deals or track deal trends throughout your sales history.
Add, track, or modify contacts that have begun their journey through your sales pipeline. You can see what deals are attached to a person, what organizations they belong to, and what activities are scheduled for that person. This information can help you decide the best course of action for moving that person along your sales pipeline and winning the deals you have with them.
Track products that your company is selling - by product name, price, or product code - or associate products with specific deals in your pipeline. This will give you a more detailed view of the revenue generated by specific products, allowing you to better prioritize them in your sales pipeline.
Fetch data about an activity that is scheduled in your pipeline. This could include things like the activity’s type, due date, and status, along with associated deals, contacts, and organizations. Then, use that data to track the progress and effectiveness of various activities that are being performed to help you win deals.
Get data about an organization that has deals in your pipeline, including the organization’s ID, associated persons, and related deals. This will allow you to track which organizations are delivering the most profitable deals and the best leads.