Integrate Pipedrive with Freshdesk
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.
Freshdesk is a customer support ticketing system that includes a range of ticketing tools such as ticket prioritization, service level agreements, native internal communication between collaborating agents, automated suggestions for ticket solutions and in-depth customer support analytics.
Popular Use Cases
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
Bring all your Freshdesk data to Amazon Redshift
Load your Freshdesk data to Google BigQuery
ETL all your Freshdesk data to Snowflake
Move your Freshdesk data to MySQL
Integrate Pipedrive With Freshdesk Today
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Pipedrive's End Points
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.
Freshdesk's End Points
Create, view, and/or modify information associated with one of your support agents, including their contact information (name, email, phone number), their permission level and which customer support group they belong to. You can also see if the agent is currently available to take a ticket and how long they have been available for so that you can assign tickets to appropriately.
Retrieve and update information about replies and notes associated with tickets, including the full text of the reply and the IDs of the agents, customer and support ticket associated with the conversation. This will not only allow you to integrate the full content of a support interaction into your customer support analytics but also allow Freshdesk to provide deeper analytics with regards to support agent performance.
See an array of information about a support ticket, including the customer that submitted the ticket, the source they submitted it from, the assigned agent, the content of the support request and the priority that Freshdesk has assigned that ticket. This, along with data about the type of support issue that the ticket is addressing, will allow you to more effectively assign the right members of your support team to the right tickets.
View data about a contact that has created a support ticket. This includes both basic contact information - like their name, email address, and social media ID - and information that will help you to more effectively assign the right agents to meet that contact’s needs, such as their preferred language, their associated tags and what other tickets they have submitted.