Skip to main content
Pipedrive Integration

Learn how to map data fields to Pipedrive and manage leads better with a more accurate database in a few steps.

Ella Madar avatar
Written by Ella Madar
Updated over a month ago

Overview

Copy-pasting data directly to Pipedrive is time-consuming and prone to manual errors. Lusha’s Pipedrive integration automates the sales process without breaking your workflows.

Mapping Lusha data to the right fields in Pipedrive is easy and maximizes sales efficiency in minutes. Follow the steps below to successfully configure your Pipedrive account to Lusha!

💡 Note: Editing integration settings can only be done by the Lusha account's admin or manager.


Use case

  • Instant and accurate contact enrichment - Instantly enrich your contact’s data on your Pipedrive and ensure every contact enriched by Lusha is accurate .and up-to-date.

  • Virtually eliminate manual data errors - Eliminate the need to jump between multiple platforms in order to copy and paste information, increasing risk of data errors.

  • Optimized processes - Automate the sales process to ensure your team has more time to spend reaching out and wastes less time on data entry.


How it works?

  • Note: you must be a Lusha and Pipedrive admin to activate the Pipedrive integration

  1. Log in to your Lusha dashboard and tap your name

  2. Click the "Integrations" tab and select Pipedrive from the list

  3. After clicking "Connect", you will be directed to the Pipedrive login page

4. A login screen will appear asking you to sign in to your CRM. The system will not ask for your credentials if you are already logged in

5. Then, click Continue to field mapping

6. Under the Field mapping environment, you will be presented with 2 types of records:

  • Contacts

  • Organizations

If you want to edit fields for contacts already in your database, click on Allow Overwrite.

💡Note: when adding a new field, the type of field has to be the same as the Lusha field.

Each field can be changed to a different field on your Pipedrive side.

The chosen fields allow you to determine which Pipedrive field will get enriched by Lusha.


How do I add predefined values fields to this integration?

1. Please choose one of the 2 available records (Contacts, Organizations)
2. Click +Add field and choose the "Predefined Value" option
3. Select a "Pipedrive field" from the available fields
4. Enter a predefined value.
5. Press the "Save changes" to confirm the changes (make sure to save before changing tabs).


Conditional field map feature

Set conditional field mapping in case an email or phone parent field got updated.

Now you can achieve a better enrichment experience and utilize the leads routing process

To create a conditional field:

  • In your Lusha account, navigate to the Field mapping environment

  • Click the Advanced button next to the 'Emails' and 'Phones' fields (under the Lusha fields) to use a conditional enrichment mapping

  • Click the Map dropdown menu, then enter text to describe the value to create predefined fields that will be modified after the field is enriched.

    • To save the changes, click Apply.

  • Once you’re done, click Save Changes at the bottom of the page.


Account export preferences

Admins can select which object types users can export to Pipedrive.

I.e. when this toggle is off in the settings tab, users will not be able to save as Contact under a new account, only to existing Pipedrive accounts.

💡Note: The settings will apply to all team members in your account.

To manage the export preferences:

  • In your Lusha account, navigate to the Field mapping environment and open the Settings tab

  • Then, you can choose the object types the users will be able to export to Pipedrive.


Default field mapping

Below is the default mapping for Pipedrive. If you modify your mapping and wish to revert to the original settings, refer to the table below for the source data.

Contact

Lusha Field mapping

Pipedrive Field mapping

Full Name

Name

Emails

Email

Phones

Phone

Organization

Lusha Field mapping

Pipedrive Field mapping

Company Name

Name

Company Street

Address

To learn more about field mapping values, click here.

Did this answer your question?