Signal-Based Outbound for SaaS Pipeline
Cold outbound that opened doors to Siemens, Bosch, and Universal Music. Signal-based targeting, multi-source enrichment, and human-written sequences that sound like a person, not a template.
The situation
Two SaaS companies needed enterprise pipeline from cold outbound. One was a B2B music licensing platform preparing for a $7M seed round. The other was a manufacturing technology company selling into German engineering enterprises.
Both had the same problem: they knew who their ideal customers were, but they didn't have a system to reach them at scale. The music platform had dabbled in outbound with generic tools and gotten mediocre results. The manufacturing company had relied on referrals and inbound that was tapering off.
Both needed meetings with specific decision makers at specific companies. Not leads. Not MQLs. Actual conversations with the right people.
The approach
We started with ICP validation. Not "who do you think you sell to" but "who actually buys, at what size, in which industries, and what signals indicate they're in a buying moment." For the music platform, that meant labels, publishers, and rights holders showing specific growth indicators. For the manufacturing company, that meant engineering firms showing procurement signals.
Then we built the enrichment waterfall. 10+ data sources feeding into a signal-based targeting system. The waterfall identified accounts showing buying signals and enriched them with verified contact data for the right decision makers.
The messaging was written by a human for each segment. Not AI-generated templates with a name swapped in. Actual sequences that referenced specific situations each persona faces, written at the level a peer consultant would use.
For the music platform, we sourced 8,500+ leads across the target market and built multi-channel sequences for each segment. For the manufacturing company, we focused on a tighter list of high-value accounts using Challenger Sale positioning.
The results
The enterprise meetings
The cold outbound opened doors that the companies hadn't been able to reach through inbound or referrals. The music platform booked 20+ calls and opened conversations with Universal Music, OVO Sound, and other major labels. That pipeline contributed to validating the business model ahead of their $7M seed round.
The manufacturing company was booking 3-5 meetings per week with engineering decision makers at companies like Siemens and Bosch. These weren't spray-and-pray meetings. They were conversations with the right people at the right time, triggered by signals that indicated a real need.
Both results came from the same methodology: signal-based targeting, multi-source enrichment, and messaging written by a human who understands the buyer's situation. The industry changed. The approach didn't.
Why it worked
Three things made the difference. First, the targeting was signal-based. We didn't just build a list of companies that fit the ICP. We identified accounts showing buying signals right now. That's the difference between reaching the right company and reaching the right company at the right time.
Second, the data was real. Multi-source enrichment meant we had verified emails and direct dials for the specific decision makers we needed. Not generic "info@" addresses. Not gatekeepers. The actual buyers.
Third, the messaging was human-written. Every sequence was drafted for a specific persona facing a specific problem. The emails read like they came from a consultant who understands the buyer's world. Because they did.
Build pipeline like this for your team
Free audit. 30 minutes. We'll look at your ICP, your data, and your current outbound setup. Then we'll show you what signal-based targeting could change.