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CASE STUDIES
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2025
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Woeler
Automated Restaurant Data Pipeline for Woeler's Sales CRM
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OVERVIEW
Smart Restaurant Intelligence for a Scaling Sales Team
Woeler operates in the Dutch hospitality market and needed a scalable way to identify and approach restaurant leads. Their sales team was spending hundreds of hours manually researching restaurants, finding owner details, and entering data into HubSpot. The process was slow, inconsistent, and impossible to scale.
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CHALLENGES
Manual Research Was Killing Sales Capacity
Every new lead required individual research: finding the right contact person, verifying ownership, tracking down an email address or phone number. Data ended up in HubSpot in different formats, making it hard to run clean outreach campaigns.
How can we 10x our lead generation and make the process more seamless?
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SOLUTIONS
Automated Scraping, Enrichment and CRM Sync
Triad built a fully automated pipeline that collects, filters, enriches and syncs restaurant data directly into HubSpot.
Automatically scrapes restaurant data based on defined targeting filters
Excludes solo operators and ZZP constructions, focusing only on restaurants with staff
Enriches each record with owner name, email address, phone number, domain and location details
Syncs companies and contacts directly into existing HubSpot workflows and properties
Built on Google Maps, scraping APIs and n8n flows, with minimal manual intervention required
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RESULTS
Hundreds of Hours of Research, Done Automatically
Hours saved on manual research Per month, structurally
80%
Clean data
6-8 weeks
Kickoff to operational
93%
Time saved
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CASE STUDIES
