How to Build a Decision-Maker List
Use ProfileSpider to build a decision-maker list of executives, founders, and department heads from public team pages, leadership pages, directories, and search results. Save the rows, find emails where available, and export to CSV, Excel, or JSON.
Goal
What This Workflow Is For
Build a focused list of the people who actually make buying decisions, then find emails and export it for outreach.
Use this workflow when you need to reach decision-makers such as founders, C-suite executives, VPs, directors, and department heads instead of generic company contacts. Good examples include VP Marketing at SaaS companies, Heads of HR at mid-market firms, or founders of agencies in a target city.
Decision-maker lists are high-intent because the people on them control budgets, hiring, and vendor selection. The key is to filter for the right titles and seniority before you spend time on enrichment or outreach.
The flow is: find public pages that list leaders → extract visible people → save rows to a list → filter to real decision-makers → enrich where useful → find emails per row where available → export CSV, Excel, or JSON.
Prerequisites
Before You Start
Confirm the page and tooling match this workflow.
You need:
- ProfileSpider installed in Chrome and signed in
- A target set of companies, an industry, or a role and seniority you want to reach
- Public pages that list leaders, such as team pages, leadership pages, directories, or search results
- A saved list name such as saas-vp-marketing, agency-founders-london, or target-accounts-q3
This workflow works best when the page shows repeated people with names, titles, and links so you can filter for seniority before enrichment.
Fit
Best For / Not Ideal For
Set expectations before you install or run an extract.
Best for
- Company leadership and management team pages
- Investor and portfolio company team pages
- Google X-Ray and search result pages for specific titles
- Industry and association directories with roles listed
- Conference speaker and panelist pages
- Account-based marketing target lists
Not ideal for
- Pages where titles or seniority are not shown, making filtering impossible
- Private or restricted data you are not authorized to access
- PDFs, screenshots, or images of org charts
- Pages that only list generic contact or support details
- Single-profile pages with no repeated people
Steps
Step-by-Step Workflow
- 1
Define the decision-maker profile
Decide which titles and seniority count as decision-makers for your offer. For example: founder, CEO, VP Sales, Head of Marketing, CTO, or Director of Operations. Note the industries, company sizes, and locations you care about.
- 2
Find public pages that list leaders
Open sources such as company leadership or team pages, Google X-Ray results for a specific title, industry directories, or conference speaker pages. Look for pages where names and titles are visible together.
- 3
Load the people in Chrome
Make sure the names, titles, companies, and profile links you want are visible before extracting. If the page uses tabs, filters, or load-more buttons, prepare it first.
- 4
Run ProfileSpider on the page
Click the ProfileSpider extension and run extraction. A normal page scrape uses 1 credit per page, regardless of how many people are found within your plan cap.
- 5
Save and filter to real decision-makers
Save relevant rows to a list, then remove anyone who does not match your target titles or seniority. Use tags such as c-suite, vp, founder, or department-head to segment the list.
Saving rows, adding tags, and adding notes do not use credits.
- 6
Enrich the decision-maker rows
Use enrichment on rows with usable profile, website, or social URLs to add titles, companies, or LinkedIn details. Bulk enrichment uses 1 credit per eligible profile in that flow.
- 7
Find emails per row and export the list
For decision-makers where email finding is appropriate and supported, run email finding per row. If no valid email is returned, there is no charge. Export the reviewed list to CSV, Excel, or JSON for outreach or CRM import.
Schema
What ProfileSpider Extracts
Default fields for this workflow. Add or remove columns before you extract.
- NameThe decision-maker name when visible on the source page.
- TitleJob title, seniority, or role. Use this field to filter for decision-makers.
- CompanyEmployer or organization name when visible.
- DepartmentFunction or team such as Sales, Marketing, Engineering, or Operations when shown.
- LinkedIn URLLinkedIn profile URL when visible or linked from the source page.
- EmailOnly filled when visible on the source page or when per-row email finding later returns a valid result.
- LocationCity, region, or country when available.
- Source URLThe page the row came from. Keep this for verification and deduplication.
Output
Example Output
What a downloaded file looks like. Real exports are saved as .csv, .xlsx, or .json.
| Name | Title | Company | Department | Location | Source | ||
|---|---|---|---|---|---|---|---|
| Sofia Martin | VP Marketing | ExampleTech | Marketing | linkedin.com/in/sofiamartin | sofia@exampletech.com | Barcelona, Spain | exampletech.com/leadership |
| Daniel Weber | Founder & CEO | Weber Cloud | Leadership | linkedin.com/in/danielweber | Berlin, Germany | webercloud.io/about | |
| Nina Verhoeven | Head of People | Example AI Lab | HR | linkedin.com/in/ninaverhoeven | nina@exampleailab.com | Amsterdam, Netherlands | google-xray-result.example |
Troubleshooting
Common Problems
The page lists everyone, not just leaders
Save the rows, then filter by title and remove non-decision-makers before enrichment and email finding. Use tags to keep c-suite, vp, and director rows separate.
Titles are vague or inconsistent
Standardize seniority in a tag column, for example c-suite, vp, director, or manager, so you can sort and prioritize outreach.
Emails are missing
Save the named decision-makers first, then use per-row email finding where appropriate and supported. If no valid email is returned, there is no charge.
The same person appears at two companies
People move roles and appear on multiple pages. Review duplicates inside the saved list and keep the source URL for verification.
Only company names are listed, no people
Use the company list to open each leadership or team page, then extract the named decision-makers and save them to the same list.
Questions