
254
Qualified Leads
$6M
Pipeline Generated
72
Monthly Meetings
Trusted by 200+ founders
How Skillfully went from 1 meeting a month to $6M in pipeline in 6 months
A hiring simulation SaaS with strong logos, a working product, and an outbound motion that was not moving. We built three systems from scratch. Here is what happened.
Company: Skillfully Industry: Hiring Technology / SaaS Location: United States Campaign type: Three-system outbound engine — social monitoring, high-volume cold email, signal-based targeting Campaign duration: 6 months to $6M in pipeline
Results at a glance
Metric | Result |
|---|---|
Pipeline generated | $6M |
Systems built | 3 |
Time to results | 6 months |
Meetings per month before | 1 to 2 |
Where Skillfully started
Skillfully is a hiring platform that lets candidates demonstrate their abilities through job-specific simulations. Instead of CVs and generic interviews, applicants complete tasks that mirror the actual day-to-day work of the role — removing the guesswork from hiring decisions.
They came to us at an early but meaningful stage. Strong logos, a product that was working, and a founder who knew the market. What they did not have was a scalable way to get in front of the right buyers.
Before The GTM Company:
1 to 2 booked meetings per month
400 cold calls made by an external partner — 1 meeting booked
Poor data quality with low connection rates
Budget and time burned on a channel that was never going to work for this audience
No multi-channel system and no clarity on which angle would produce results
The buyer — Talent Managers and HR leaders — is one of the hardest personas to reach by phone. The team was burning time and budget on a channel that was fundamentally wrong for the audience.
"You all were producing more booked meetings and more interest in replies in one week than I had been able to produce in 3 to 4 months." — Skillfully Founder
Our approach
The first insight was the most important one. 400 calls had produced one meeting. That data told us everything. Cold calling was dead for this buyer. We stopped, built from scratch, and designed three systems around how this persona actually buys.
01 — Find message-market fit fast Three independent systems, each targeting a different signal and buyer motion. Run them in parallel and let the data tell us which angle to scale.
02 — Lead with value before the ask Social monitoring, value-led email, signal-based timing. Every touchpoint gave the prospect something useful before asking for their time.
03 — Let the flywheel do the work Replies and meetings fed back into better messaging. Better messaging produced better meetings. Each cycle made the next one sharper.
Three systems. One engine.
System A — Social monitoring
Monitored competitor social posts and scraped engagement in real time. Filtered engaged users for ICP fit. Led outreach with genuine value — frameworks, case studies, and tools. Positioned Skillfully as a resource before pitching the product.
System B — High volume cold email (BPO and talent partners)
150,000 emails sent monthly. Continuous A/B testing to find message-market fit fast. Identified strong unit economics for reply and booking rates. Scaled volume once winning angles were confirmed.
System C — Mid-market signal-based targeting (direct providers)
Monitored new-in-role Talent Managers as a live buying signal. Tracked job posts for internal recruiter hires as intent signals. Timed outreach to when buyers were most likely to be evaluating tools. Led with value-based messaging relevant to their current moment.
The GTM Company flywheel
Skillfully's flywheel started with a hard truth: 400 calls had produced one meeting. That data told us everything we needed to know about where not to focus.
We fed that intelligence into our messaging strategy, built three systems designed around how this persona actually buys, and let the outbound data tell us which angle to double down on. By month three the flywheel was turning. By month six it had generated $6M in pipeline.
01 — Real world intelligence Case studies, call recordings, and customer conversations
02 — Offers and messages Positioning and copy built from what real buyers say
03 — Outbound data Reply rates, open signals, and booking data show what lands
04 — New sales conversations Warmer leads, better meetings, faster closes
Every new sales conversation feeds back into step 01. The flywheel compounds with every cycle.
The turning point
Month three saw the first significant pipeline movement as the email systems found their footing. By month six, all three systems were running in parallel.
Within the first 30 to 45 days, Skillfully dropped every other outbound vendor and committed to scaling this engagement exclusively.
The results
Over a 12-month engagement, Skillfully went from 1 to 2 meetings a month to a multi-channel outbound engine running three systems in parallel. The result was $6M in pipeline within 6 months.
They now have a GTM motion built on LinkedIn and cold outbound that runs independently of the founder and is built to scale.
"In a world where everyone is saying email is dead, you all revived it for us. I wish I could hire the two of you as my VPs of Demand." — Skillfully Founder

What made this work
01 — We started with what was not working 400 calls and one meeting was not a performance problem. It was a channel problem. Identifying that early and changing direction completely is what made everything else possible.
02 — Three systems meant three chances to find the angle Running one campaign is a bet. Running three in parallel is a market research exercise. We found what resonated faster because we were testing across signals, volumes, and buyer moments simultaneously.
03 — Signal-based timing changed the conversion rate Reaching a Talent Manager on their first week in a new role is a completely different conversation to reaching them six months in. Timing is not a nice-to-have. For this persona it was the difference between a reply and silence.
04 — The founder never had to think about outbound again Skillfully dropped every other vendor within 45 days. That is what happens when a system works — you stop hedging and go all in.
Category
Tech
Year
2025
Platforms
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