Lead source
Apollo.io
Route Apollo leads through SS OS to add stack intel, fit scoring, and buyer model training before they hit your CRM.
The data flow
What SS OS adds
Apollo.io gives you apollo. Here’s what changes when you route leads through SS OS first.
Stack detection on every lead
Apollo gives you the contact and basic firmographics. SS OS reads the company's real tech stack from job posts and signal data — so you know what tools they're running, what they're spending, and whether your product displaces something they already pay for.
ICP fit score, not a generic benchmark
Apollo's scoring is based on category-wide benchmarks shared with every competitor in your space. SS OS scores each lead against YOUR specific ICP — trained on your actual conversion outcomes, not the market average.
Buyer model training on every pull
Every Apollo lead that flows through SS OS trains your buyer model on the full record: company size, industry, title, seniority, location, tech footprint, and your eventual outcome (won, lost, no reply). Month 6, your model knows exactly who converts for you — not just who Apollo's algorithm says is a good fit.
Opener drafted, not just a contact returned
For high-fit leads, SS OS drafts the opening line based on the detected stack and displacement angle. Feed it straight into your Instantly or Outreach campaign as the personalization field.
Step-by-step
Export your Apollo list or connect via API
Pull a CSV from Apollo with whatever filters you're using — company size, industry, title, technology — or connect your Apollo account via webhook to push leads directly. SS OS accepts both.
SS OS enriches each lead record
For each domain, SS OS reads the tech stack, infers monthly spend on the detected tools, scores fit against your ICP (0–100), and flags the displacement angle if one exists. Only validated leads — verified email, confirmed stack — are charged a credit.
Buyer model trains on every record
The full lead record — everything Apollo gave you plus everything SS OS added — trains your buyer model. Company size, industry, seniority, tech footprint, funding stage, all of it. Not just the stack signals.
Enriched leads route to your CRM
SS OS writes custom properties back to HubSpot, Salesforce, Pipedrive, Attio, Close, or Zoho: ssos_detected_stack, ssos_fit_score, ssos_top_target, ssos_opener. Or export as CSV and paste into Apollo's own sequence.
Tag outcomes and compound the model
When a deal closes or goes dark, tag it in SS OS. The model retrains on your outcome data — so next month's Apollo pull gets scored by a model that's already seen your wins. Month 6 looks nothing like month 1.
What you get
Join the Founders Club — $99 gets you 3 months of full access, 250 enrichment credits, 25% off the base for life, and direct async access to Nick to help you wire in your specific setup.
Join the Founders Club →No card required to join the waitlist.
More integrations
Enrichment & automation
Clay
Add SS OS as an enrichment step in your Clay table to get stack intel, fit scores, and buyer model training on every row.
How SS OS works with Clay →
Lead source & intent
ZoomInfo
Layer SS OS on top of ZoomInfo exports to add proprietary stack intel and a buyer model trained on your wins — not the market average.
How SS OS works with ZoomInfo →
Email sequencer
Instantly
Feed SS OS-enriched leads into Instantly with the opener already drafted — personalized to the exact stack they're running.
How SS OS works with Instantly →