How one builder used n8n + Lusha’s API to enrich enterprise CTOs in mins

Every so often, a Builder shares a workflow that perfectly captures where RevOps is heading — away from manual prospecting and toward systems that run quietly in the background, feeding GTM teams with precise, real-time data.

This story came from a Builder who works with large enterprise accounts. For years, reaching senior technical leaders felt slow, unpredictable, and dependent on manual research. Finding verified contact information for CTOs at companies like Apple or Samsung required hours of combing through LinkedIn, juggling tabs, copy-pasting fragments of information, and hoping the email wasn’t outdated.

And then, one workflow changed everything.

Using n8n together with Lusha’s API, this Builder generated verified, enterprise-level contact data in minutes. There was no workaround, no premium data contract, and no special access.
Just a well-designed workflow built on a strong data foundation.

Before automation: time spent searching, validating, and guessing

If you’ve ever handled prospecting manually, this scene will feel familiar:

• Opening LinkedIn and jumping between dozens of profiles
• Searching for senior roles that may or may not be recent
• Copying whatever information looks promising
• Chasing email addresses that bounce
• Repeating the same task for the next company and the next role

This isn’t just tedious — it creates a ceiling.
When your research relies on manual effort, there’s a natural limit to how many accounts you can meaningfully work at a time. And when high-value roles are buried behind incomplete or outdated information, even the best outreach plan starts with an unstable foundation.

Builders don’t accept that ceiling.
They remove it by turning the work into a system.

After automation: enrichment becomes a trigger, not a task

Here’s what the Builder’s workflow looks like today:

1. They drop a LinkedIn URL into a sheet.

2. n8n picks it up automatically.

3. Lusha’s API enriches the profile within seconds.

4. The full details — name, title, verified email, phone number, and company data — flow straight into their CRM.

5. The workflow continues running on its own.

The shift isn’t just about speed.
It’s about reliability.

The workflow doesn’t hit walls like “profile private,” “email unavailable,” or “upgrade to view.” It simply takes the input and returns structured, verified data that downstream systems can depend on.

What makes this possible is the data layer underneath:

• 280M+ verified B2B contacts
• High deliverability email validation
• Senior roles and enterprise-level titles
• Accurate direct dials where available

When accurate data flows through an automated workflow, the outcome feels fundamentally different. Routing improves. Scoring stabilizes. Outreach gets sharper. And pipelines start behaving like a system, not a guessing game.

How the workflow was built (and how you can replicate it)

Most Builders customize this to their own environment, but the core structure stays similar:

1. Start with a simple spreadsheet

Company names, roles, LinkedIn URLs — whatever you currently have.

2. Connect n8n to Lusha’s API

Add the API key, test a call, and confirm the response fields.

3. Add enrichment logic

This is where Lusha returns the complete profile and company metadata.

4. Send the results where they matter

CRM, Google Sheet, Slack, warehouse — wherever the rest of the GTM engine is already running.

5. Turn it on and iterate

Once the basics work, Builders begin expanding:
adding routing rules, scoring, alerts, or additional automations triggered by the new enriched data.

This is how prospecting becomes infrastructure rather than a repeated exercise.
And for teams operating at scale, this shift is often the difference between reactive outreach and consistent momentum.

What surprised the Builder most: enterprise leaders responded

Once the workflow was running, the impact became clear quickly.
Outreach reached the right inbox.
Data matched the right person.
And accounts that previously felt unreachable started responding.

Not because the messaging changed — but because the data finally supported the messaging.

When Ops teams, sales reps, and automation platforms receive complete, accurate information from the start, every subsequent step gains clarity.
That’s the part Builders feel immediately, and the part pipelines show in the weeks that follow.

Want to build your version?

Get API access here:
https://lnkd.in/gpihMZ37

If you want the Builder’s actual n8n workflow template, let us know — we’re sharing it with teams who want enrichment to run automatically as part of their GTM foundation.

The Builder mindset isn’t about working faster.
It’s about building systems that work for you.

This workflow is a great example of that shift.

Keep reading:

Introducing Lusha Signals API

How Lusha uses job-change signals to re-activate high-intent prospects

Lusha + monday CRM: keep every board enriched with verified data

Waterfall data enrichment: why streaming data beats static stacking