Signal-Based Outbound Strategy
Most outbound fails because of targeting, not messaging. We fix the targeting first. Then we write messaging that actually matches.
Why your outbound isn't working
You're emailing the wrong people
Better copy won't save bad targeting. If your list is built on assumptions instead of signals, you're burning budget and domain reputation.
AI-generated emails get ignored
Prospects can spot AI-generated outreach instantly. The parallel structure, the hedging, the generic personalization. It all gets filtered or deleted.
No system, just campaigns
Running one-off campaigns without a targeting system means starting from scratch every time. No compounding, no learning, no predictability.
Messaging without data is guessing
You can't write relevant outreach if you don't know what's actually happening at the prospect's company. Signals give you that context.
The list IS the message
When you target the right people at the right time, the messaging almost writes itself.
Identify buying triggers
We map the observable events that indicate someone needs what you sell. Hiring patterns, funding rounds, tech changes, job transitions.
Build the playbook
Signal triggers become targeting criteria. We build prioritized lists based on evidence, not assumptions. Each segment gets its own approach.
Map the buying committee
Different people in the buying process care about different things. VP Sales wants pipeline velocity. RevOps wants data hygiene. We write for each.
Human-written sequences
Every email is hand-written. Composed from pre-vetted content blocks that adapt per prospect. Relevant, specific, and impossible to mistake for AI.
Deliverability setup
Domain rotation, SPF/DKIM/DMARC, warmup protocols, seed list monitoring. Your emails land in inboxes, not spam folders.
Track what matters
Reply rates, positive response rates, meetings booked. Not vanity metrics. We iterate based on what's actually moving pipeline.
The numbers
What you get
Common questions
What makes signal-based outbound different from regular cold email?
Most outbound fails because of targeting, not messaging. Signal-based outbound uses observable business events like hiring patterns, funding rounds, and tech stack changes to time your outreach. You're reaching people who actually need what you sell, right when they need it.
Do you write the emails or does AI?
Humans write the messaging. We use AI for research and data hygiene, but every outbound sequence is hand-written. AI-generated emails have tells that get you filtered, ignored, or flagged.
What's a targeting playbook?
A documented system that tells your team exactly who to reach, when to reach them, and what to say. It includes ICP criteria, signal triggers, prioritization logic, and sequence templates. Your team can run it without us.
How does this work with CRM enrichment?
Enrichment feeds strategy. Clean, validated data makes targeting precise. Most clients start with enrichment, then layer on outbound strategy once the data foundation is solid. But we can run both in parallel.
What kind of results should we expect?
That depends on your market, your offer, and your ACV. What we can guarantee is that your outbound will target the right people with relevant messaging at the right time. That's the variable most agencies ignore.
Stop guessing who to email
A free CRM audit shows you which accounts are most likely to convert based on actual signals in your data.