How Our Client Achieved a 17,000% ROI

How Our Client Achieved a 17,000% ROI by Fixing One Outbound Problem

Outbound doesn’t fail because teams aren’t working hard.
It fails earlier, at the B2B data acquisition stage, when outreach begins with the wrong people.

Where outbound usually goes wrong

Imagine you’re targeting marketing and sales decision-makers at Google.

You open a traditional B2B data platform, apply a few filters, company, and function, and pull the results. What you get looks reasonable at first: thousands of contacts.

But you don’t need thousands.

You need a very specific mix of people across seniority levels. Maybe 20 individuals total who actually make sense for your campaign. Instead, you’re left sorting through a list that’s far larger than necessary, trying to turn volume into relevance.

The cost of bulk B2B contact acquisition

To move quickly, most teams download the entire list.

At $0.30 per record, 1,000 contacts cost $300. That’s the easy part to measure.

What’s harder to measure is what follows. Irrelevant contacts flood the CRM. Teams spend hours filtering and validating roles. Campaigns either slow down or go out too broadly. Without proper B2B data validation, engagement drops, and sales begin to distrust the leads.

That initial spend didn’t create opportunity; it created noise. And cleaning up that noise costs far more than the data itself.

A precision-first alternative

This client chose a different path.

Instead of buying volume and filtering later, they started with clarity. They came to us knowing exactly who they wanted to reach, specific roles, seniority levels, and target companies.

We identified the right individuals and validated their employment and contact details in real time through B2B data validation. The output was a small set of accurate, campaign-ready contacts.

They paid for 20 verified records instead of 1,000 unverified ones, cutting B2B contact acquisition costs by over 90% and keeping their CRM clean from the start.

Why the ROI scaled so fast

With accurate contact data, campaigns became focused. Email performance improved. Sales trusted the leads. Marketing stopped defending lists and started running better programs.

Time and attention shifted from cleanup to conversations.

That change is what drove the result: a 17,000% ROI.

Not by sending more emails, but by sending fewer, better ones.

Can this work for other teams?

Yes, if outbound data is treated as a strategic input rather than a bulk purchase.

When teams prioritize accuracy, validation, and precision over volume, outbound stops being noisy and starts being effective.