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01 · SENSE — the revenue radar

The intel feed for revenue teams.

Modeled on the threat-intel feeds that defend the network — applied to the customers that defend your NRR. Dozens of agents and skills fuse outside signals with your CRM to surface expansion opportunities and risk signals before they hit revenue.

Dozens of agents & skills
Outside signals × your CRM
Mapped to proprietary revenue playbooks
Every insight has a Co-Owl
01 — The Model

Built like a cyber threat intel feed. For revenue.

Security teams already solved this problem for systems. Owlinq is the same architecture — pointed at the accounts that move your NRR.

Element
Cyber threat intel feedSecurity operations
Owlinq Intel FeedRevenue operations
Crown jewels
Systems and data
Recurring revenue — your customer base
Collectors
Sensors, honeypots, dark-web crawlers, OSINT
Dozens of agents and skills — funding, hiring, leadership, product, regulation, news, LinkedIn, web
Fusion
External feeds correlated with internal logs (SIEM)
Outside signals fused with your CRM — every event scored in account context
Insight format
Bottom line · Description · Suggested response
Bottom line · Description · Next steps — same shape, revenue verbs
Response
Incident response runbooks
Proprietary revenue playbooks mapped to NRR drivers
Owner
SOC analyst
Co-Owl agent attached to every insight — does the work for you

Same discipline. Same architecture. Different crown jewels.

02 — The Insight

Every signal arrives as a briefing, not a notification.

Bottom line. Description. Next steps. And the Co-Owl agent that already started working it. Like a CISO's morning brief — for the accounts that own your NRR.

INTEL-INSIGHT · OWL-247
PRIORITY · P1 · 04:25 PM
Bottom line
Meridian just acquired a 240-seat EU subsidiary with no coverage for your category — and the new VP Operations came from your top competitor. Move within 14 days or the install base goes the other way.
Description

Sequence detected across 21 days. M&A close 3 days ago (news), new VP onboarded 1 day ago (LinkedIn), procurement search activity rising (web). Internal: champion at parent account engaged 4× this week (CRM), expansion thesis open in HubSpot since Q2.

Pattern matches Owlinq playbook EXP-04 · Post-M&A Subsidiary Land — historical conversion rate 38% when worked inside 14 days. Drops to 9% after 30.

Suggested next steps
  • Outreach to new VP Operations within 72h — warm-intro path via existing champion already mapped
  • Multi-entity pricing brief — draft ready for AE to review
  • Solutions call positioning Owlinq as intelligence layer for the new EU CS function
  • Loop in AM on parent account — coordinate so renewal motion isn't disrupted
◉
CO-OWL · ALREADY ON IT
Your CSM agent has drafted the outreach email, built the 6-contact buyer map, and logged the play in HubSpot. Sarah just needs to review and send. Estimated time saved: 4 hours.
— BOTTOM LINE
What this means for revenue
One sentence. Plain English. Tied to a number that matters.
— DESCRIPTION
The full sequence, in context
External signals + CRM history fused into one narrative. No more loose tabs.
— NEXT STEPS
The play, already drafted
Co-Owl agent works it end to end. Review, approve, ship.
03 — The Engine

Dozens of agents. Dozens of skills. One fusion layer.

Outside signals are noise without context. CRM data is context without movement. Owlinq fuses both — and only then do real expansion opportunities and risk signals appear.

Outside signals · the world
Funding M&A Hiring shifts Leadership moves Product launches Regulation Cyber events LinkedIn activity Trade press Competitor moves Web crawl
⊕
Your CRM · the inside
Accounts Champions Open opps Renewal dates Product usage NPS / health Tickets Conversation history Notes QBR deltas
The Owlinq fusion engine
Dozens of agents · dozens of skills · one account graph
▼
↑ Expansion signals
Real opportunities — not lead-gen noise.
⚠ Risk signals
Churn precursors caught weeks early.

DOZENS OF AGENTS · DOZENS OF SKILLS · ONE FUSED VIEW

04 — The Context

A signal alone is noise. A sequence in context is a play.

Each account is analyzed as a sequence of events — not a stream of alerts. Patterns only show up when external history, CRM context, and revenue playbook expertise sit on the same page.

Account timeline Last 21d · live
T −21d NPS dropped 9 → 6 in core account · product Risk
T −14d Champion changed role internally · LinkedIn Context
T −7d Top competitor launched ABM feature · news Context
T −3d ▓▓▓ acquired ▓▓▓ · news Opportunity
T −1d New VP at acquired co. came from your top competitor · LinkedIn Mixed
★ Pattern detected. Expansion opportunity in the acquired entity + retention risk in the core account. A coordinated play across Sales, CS, and AM is required — not five disconnected reactions. Co-Owl drafted the whole motion.

Without this much context — and real revenue domain expertise — your team cannot ACT. They can only react. Owlinq is the layer that closes that gap.

05 — The Playbooks

Insights mapped to the playbooks that actually move NRR.

Every Intel Insight is generated against a library of proprietary revenue playbooks we developed at Owlinq — battle-tested motions for expansion, retention, churn-save, and renewal acceleration.

This is the difference between "an alert fired" and "this account just entered EXP-04, here's the 14-day window, here's the play, your Co-Owl already started it." Efficiency goes up. ROI goes up. NRR goes up.

Target outcome · NRR
94% 112% +18pts
EXP-01 Champion gets promotedMulti-thread + expansion thesis refresh ↑ NRR
EXP-04 Post-M&A subsidiary land14-day window · cross-entity pricing ↑ NRR
EXP-07 Funding round > $25MCapacity expansion + power-user buyer map ↑ NRR
RET-02 Champion leaves30-day re-anchor motion · save play ↓ Churn
RET-05 Usage delta > 30% dropHealth-led re-engagement before QBR ↓ Churn
REN-03 Competitor poach riskRenewal acceleration · multi-year hook ↑ NRR
06 — In the wild

A morning brief, every morning. Auto-triaged. Auto-worked.

Insights are classified into Risk, Expansion, and Watch streams — routed to the right owner with a Co-Owl agent already drafting the play.

Signal triage & routing Live · 04:25 PM
⚠ Risk
Vertox AI
CEO departure announced
Co-Owl drafted save-play brief
NexPath Health
Budget freeze signaled · trade press
Co-Owl re-paced renewal motion
Prism Security
Champion moved to competitor
Co-Owl built 4-contact re-anchor map
↑ Expansion
Zelta Finance
Series C · $80M raised
Co-Owl drafted capacity-expansion brief
Atlas Commerce
Hiring 40+ engineers
Co-Owl updated CRM + queued ABM
Meridian Cloud
EU subsidiary acquisition
Co-Owl drafted multi-entity pricing
◉ Watch
ClearPath AI
Product launch next week
Co-Owl monitoring · context staged
Orbis Data
M&A rumor in trade press
Co-Owl tracking deal-desk signals
TerraLogic
Contract renewal due 30d
Co-Owl prepping renewal brief
FAQ

Frequently asked questions

What does Intel Feed monitor for each account?
Dozens of agents and skills track funding, M&A, hiring shifts, leadership moves, product launches, regulation, cyber events, LinkedIn activity, competitor moves, and more. Every event is then fused with your CRM — so what you see is already scored in context, not raw noise.
Why call it an "intel feed" — not alerts or notifications?
Because we modeled it on how cyber threat intel feeds work. Every insight has a bottom line, a description, and suggested next steps — a briefing format, not a dashboard ping. It is built for action, not for scrolling.
How does the feed actually improve NRR?
Insights are mapped to proprietary revenue playbooks we developed at Owlinq — historical patterns where the right motion inside the right window changes the outcome. The feed surfaces the moment, the playbook gives the motion, and the Co-Owl agent already started executing.
What's the role of Co-Owl in each insight?
Every Intel Insight ships with a Co-Owl agent attached — your AI CSM that does the work for you. It drafts the email, builds the buyer map, updates the CRM, and queues the play. Your team reviews and approves instead of researching and drafting from scratch. Efficiency and ROI compound fast.
Can my CS and Sales teams share the same feed?
Yes. Intel Feed is one shared stream with role-aware routing — CS sees the risk & retention plays, Sales sees the expansion windows, Ops sees the orchestration. All three are looking at the same fused account graph.
Why does context matter so much?
A single signal is noise. A sequence of events analyzed in context is a play. Without that wide context and real revenue domain expertise — encoded in the playbooks — your team can react, but they cannot ACT. Intel Feed is the layer that gives them the room to act as a whole.
The platform

Sense. Understand. Act.

Intel Feed is module 01 — the Sense layer. Here's where the loop closes.

02 · UNDERSTAND

Cortex

your AI revenue analyst

Ask anything about any account, get an evidence-backed answer — every company, every angle, on demand.

Explore Cortex
03 · ACT

Co-Owl

your AI revenue workforce

Drafts the email. Updates the CRM. Conducts deep research. Runs the play — autonomously, at the speed of signal.

Explore Co-Owl