ItemLists Automate

Automate lead enrichment and management with ItemLists, integrating Pipedrive and Datagma to streamline the process of identifying ideal buyers. This workflow enhances organization data with key metrics like total funding, website traffic, and employee details, while also finding relevant emails. Triggered manually, it efficiently processes leads, ensuring you focus on high-potential prospects for improved sales outcomes.

7/8/2025
11 nodes
Medium
manualmediumitemlistspipedrivepipedrivetriggersticky noteadvancedapiintegrationlogicconditional
Categories:
Manual TriggeredMedium WorkflowCRM & Sales
Integrations:
ItemListsPipedrivePipedriveTriggerSticky Note

Target Audience

Target Audience


- Sales Professionals: Those looking to enrich their lead data and improve targeting.
- Marketing Teams: Teams focused on identifying ideal buyers and optimizing outreach strategies.
- Business Development Managers: Individuals who need to gather comprehensive company insights for strategic partnerships.
- Data Analysts: Professionals interested in automating data collection and analysis for better decision-making.

Problem Solved

Problem Solved


This workflow automates the process of enriching company and lead data, ensuring that sales and marketing teams have access to relevant and up-to-date information. It addresses the challenge of manually gathering data from multiple sources, reducing the time spent on research and allowing teams to focus on engaging with potential clients. By integrating with ItemLists and Pipedrive, it streamlines the identification of ideal buyers, enhancing lead quality and conversion rates.

Workflow Steps

Workflow Steps


1. Trigger: The process begins when a new company is created in Pipedrive.
2. Enrich Company Data: The workflow sends a request to Datagma to enrich the company's data, including details like funding amounts, website traffic, and industry.
3. List People: It retrieves a list of potential leads associated with the company, focusing on employees with specific job titles.
4. Ideal Buyer Identification: The workflow checks if the leads match the criteria of an ideal buyer based on their job title and company score.
5. Email Finding: For suitable leads, it uses Datagma to find their email addresses.
6. Data Preparation: It prepares the data for merging by extracting relevant information such as LinkedIn URLs and emails.
7. Merge Data: Merges the enriched data with the lead information to create a comprehensive profile.
8. Add Person to Pipedrive: Finally, it adds the enriched lead data back into Pipedrive as a new person, ensuring all relevant information is stored for follow-up.

Customization Guide

Customization Guide


- Modify Enrichment Criteria: Users can change the parameters in the Datagma - Enrich Company node to target different types of companies or adjust the employee title search.
- Adjust Ideal Buyer Conditions: The conditions in the If lead is Ideal Buyer node can be tailored to fit different buyer personas by modifying the job title keywords and company score thresholds.
- Change Email Finding Parameters: Users can customize the email finding step by adjusting the query parameters in the Datagma - Find Emails node to refine the search criteria.
- Update Pipedrive Fields: Users can add or change the custom properties in the Pipedrive - Add Person node to capture additional information relevant to their business needs.