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Case studies

Results that show up in the pipeline

We measure success in qualified leads and revenue generated, not vanity metrics. Here's what that looks like.
Prospects reached
500K+
Qualified leads delivered
12,000+
Average reply rate
6.1%
Influenced pipeline
$30M+

Cumulative across every campaign to date. Influenced pipeline is modeled from opportunities and average deal size, not closed revenue.

Referral engine · 18 May – 20 Jun

$1.35M in pipeline from a marketing-agency campaign

Marketing agencies

A referral-led offer to marketing agencies. 8,872 contacted across the sequence, an 8.03% reply rate, and 419 interested replies.

$1.35M
Influenced pipeline
8.03%
Reply rate (712 replies)
343
Opportunities

Challenge

Marketing agencies get pitched cold every single day, so generic outreach is invisible. The angle had to give a busy founder a real reason to reply.

What we did

We led with a referral-style offer, scored the list for agencies actively scaling, warmed dedicated sending domains, and had senior operators verify every interested reply before it reached the client.

Result

8,872 contacted, an 8.03% reply rate, and 343 opportunities, $1.35M of influenced pipeline from a single sequence.

Outbound engine · 10 Apr – 17 Jun

$2.79M pipeline from enterprise SaaS outbound

Enterprise SaaS

High-volume outbound to enterprise buyers. 35,323 decision-makers contacted across the sequence and 1,040 marked interested.

$2.79M
Influenced pipeline
737
Opportunities
35,323
Contacted

Challenge

Reaching enterprise decision-makers at volume usually means torching deliverability or sending obvious spray-and-pray that buyers ignore.

What we did

We spread sending across many warmed mailboxes at conservative daily volume, personalized at scale with AI, and triaged every reply so the client only ever saw qualified, decision-maker conversations.

Result

35,323 decision-makers contacted, 1,040 interested, 737 opportunities, and $2.79M of influenced pipeline.

Pipeline sprint · 5 May – 20 Jun

$1.67M pipeline in a mid-market RevOps sprint

Mid-market RevOps

A focused sprint to mid-market RevOps leaders. 15,697 contacted, a 7.45% reply rate, and 659 interested replies.

$1.67M
Influenced pipeline
7.45%
Reply rate (1,170 replies)
469
Opportunities

Challenge

RevOps leaders are practical and allergic to fluff. The message had to be specific and genuinely useful from the first line or it was deleted.

What we did

A focused sprint to a tightly defined RevOps segment, sharp problem-led copy, and weekly tuning toward the angles that pulled the most replies.

Result

15,697 contacted, a 7.45% reply rate, 469 opportunities, and $1.67M of influenced pipeline in six weeks.

Client names are withheld under NDA. The figures on each card are taken from that campaign's own dashboard.

The deliverable

This is what we actually hand you

Not a CSV of cold names. A person who replied, qualified by a human, delivered with the context your sales team needs to close.

Lead record, as it lands in your CRM

Qualified, handed off
Prospect
J. M name withheld
Title
VP of Operations
Company
B2B logistics SaaS, ~120 staff, Series B
Intent signal
Posted 3 ops roles in the last 30 days
Campaign
Ops efficiency angle, wave 2 of 3

Their reply, verbatim

"Good timing actually, we're mid-evaluation on exactly this. Could you do Thursday afternoon?"

Flagged interested by the AI, read and verified by a senior operator, then delivered to the client's CRM with these notes inside the hour. Their AE booked the meeting the same day.

The same lead featured in our hero, shown as the full record we delivered. Anonymized under NDA; the structure is exactly what you receive.

In their words

What clients say

The teams behind the numbers.
The deliverability work was the unlock. We'd been landing in spam for months without knowing it. Once that was fixed, the qualified leads started showing up consistently.
Head of Sales B2B SaaS, ~45 staff
We'd tried building outbound in-house twice and given up. Treating it as a system with weekly changes is what made the difference. Replies went from roughly 2% to the high 5s.
Commercial Director Logistics, ~120 staff
The copy reads like a person wrote it to one person. A few prospects replied assuming it was a personal note. That is exactly the bar we wanted.
Head of Growth Healthtech, ~60 staff
Honest reporting every week, and no fluff. I always know what is working and what they are changing next. It feels like having an outbound team without the headcount.
Chief Revenue Officer Manufacturing, ~300 staff
Outbound went from an experiment to our most predictable source of new conversations. The leads are genuinely qualified, not just clicks.
Co-founder Data & Analytics, ~30 staff
Onboarding was painless and they had us live in under two weeks. The first positive reply came on day three, which kept everyone bought in.
Sales Director Fintech, ~80 staff

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