Partnership and Sponsorship Research with ProfileSpider
Use ProfileSpider to build partnership and sponsorship research lists from conference sponsor pages, partner directories, association members, and ecosystem pages, then export to CSV or Excel.
Audience
Who This Is For
This page is for partnership teams, business development, sponsorship sales, ecosystem managers, founders, and marketers who need to research partners, sponsors, and ecosystem companies from public web sources.
Use it when your targets appear on conference sponsor and partner pages, platform partner directories, association member lists, ecosystem or integration pages, and industry event sites.
The problem
Why Partnership and Sponsorship Research Is Hard to Structure
Partnership and sponsorship targets are scattered across public pages: conference sponsor walls, partner directories, association memberships, ecosystem listings, and integration marketplaces. Each signals intent — these companies already invest in a market, an event, or a platform.
The problem is that none of these pages are export-ready. One page shows sponsor logos and tiers. Another shows partner categories. An association directory shows members and locations. Manually turning all of that into one comparable list is slow.
ProfileSpider helps turn public partner, sponsor, and ecosystem pages into structured research lists. You open the page, extract visible companies, save the rows to a list, enrich where useful, add tags and notes, and export the final research file.
Before ProfileSpider
What This Looks Like Manually
A manual partnership research workflow usually looks like this:
Find relevant sponsor pages, partner directories, association memberships, or ecosystem listings.
Open each sponsor, partner, member, or ecosystem page one by one.
Copy company names, tiers or categories, websites, contacts, and source URLs into a spreadsheet.
Open company websites or team pages to find a named contact or partnership lead.
Clean the spreadsheet, remove irrelevant rows, review duplicates, and tag by tier or category.
Share the list for partnership outreach, sponsorship sales, or ecosystem mapping.
For one event or directory, manual research is manageable. Across multiple events, partners, and associations, it becomes slow and inconsistent.
With ProfileSpider
How the Partnership and Sponsorship Research Workflow Works
Extract sponsors, partners, and members from public pages, organize them, enrich where useful, and export clean files.
- 1
Choose the partnership source
Start with a public conference sponsor or partner page, platform partner directory, association member list, ecosystem or integration page, or industry event site.
- 2
Extract visible companies
Run ProfileSpider on the page. One page scrape uses one credit. The extension turns visible companies, tiers or categories, websites, contacts, profile links, and source URLs into structured rows.
- 3
Save rows to a partnership research list
Save the extracted rows to a focused list named after the event, platform, or association. Use tags such as type:sponsor, tier:platinum, type:partner, association:hr-body, or priority-target.
- 4
Review and segment the list
Remove irrelevant rows, separate sponsors, partners, and members, add notes, and review duplicates inside the saved list. ProfileSpider can help identify duplicates within already-saved profiles through exact matches across stored fields.
- 5
Enrich and add decision-makers
Use enrichment on eligible rows to fill missing company details, and pair this with a decision-maker workflow to add the named partnership contact. Bulk enrichment uses 1 credit per URL and is scoped to one URL type at a time.
- 6
Export the partnership research file
Export the reviewed list as CSV, Excel, or JSON. You can rename export headers once and reuse those labels on future exports.
Sources
Where to Find Partnership and Sponsorship Data
Output
Example Partnership Research Export
A useful partnership research list should keep company context, relationship type, contact, source links, tags, and notes together.
| Company | Type | Website | Contact | Source Context | Tags | Notes | Source | |
|---|---|---|---|---|---|---|---|---|
| ExampleTech | Sponsor | exampletech.example | Sofia Martin | partners@exampletech.example | SaaSConf 2026 — Platinum | tier:platinum, priority-target, reviewed | Strong fit for co-marketing partnership | saasconf.example/sponsors |
| Weber Cloud | Platform Partner | webercloud.example | Daniel Weber | Integration directory | type:partner, needs-contact | Find partnerships lead before outreach | platform-partners.example/directory | |
| Cartergrove Advisory | Association Member | cartergrove.example | Aisha Carter | hello@cartergrove.example | HR association — Corporate member | association:hr-body, reviewed | Potential co-hosted event partner | example-association.org/members |
Workflows
Best ProfileSpider Workflows for Partnership and Sponsorship Research
Use these workflows to move from public partner and sponsor pages to structured research exports.
Build a Conference Sponsor List
Turn public sponsor and partner pages into a structured sponsor list with tiers and links.
Scrape Conference Speakers and Exhibitors
Extract speakers, panelists, and exhibitors who could become partners or sponsors.
Scrape an Association Member Directory
Turn association and trade body member directories into a structured partner research list.
Build a Decision-Maker List
Find the partnership or BD decision-makers inside target companies.
Enrich a Company List
Add missing details from eligible partner websites or profile URLs where enrichment is available.
Questions