Signals & Agents

Agentic GTM analytics.

Turn buyer intent signals into pipeline, on autopilot.

Your 14+ Kwanzoo AI GTM agents are running every day - capturing signals, scoring leads, writing personalized messages, syncing to campaigns. Agentic GTM Analytics is the AI GTM agent monitoring layer that tells you whether all of it is actually working, phase by phase, agent by agent, source by source.


Most agentic GTM platforms run as a black box. Signals fire. Agents run. Something breaks. You find out three days later when your reps notice the queue is empty. Agentic GTM Analytics is the GTM pipeline analytics layer that closes that gap - one watchtower, every signal, every agent, every send, with real-time status and automatic warnings so nothing silently fails.

A split-panel infographic comparing AI Copilot and AI Agent. The left side shows an AI copilot as collaborative assistance with a person at a computer and chat/code bubbles; the right side shows an AI agent as autonomous goal achievement with a robot, workflow icons, and system connections. The central headline reads 'AI Copilot vs AI Agent: The Difference That Decides Your Stack.'

INTENT SIGNALS

Impact Intent signal analytics B2B teams can act on, right now.

Live across the Kwanzoo agentic GTM platform today.

Leads surfaced today, across all signal sources

Intent signal channels unified in one view

Personalized touches sent monthly through the agentic pipeline

Agent pipeline uptime tracked phase-by-phase

WHY AGENTIC GTM NEEDS OBSERVABILITY

Your agents are running. You have no idea if they are running correctly.

You invested in an agentic GTM. You set up the Signals Hub. You turned on 14+ agents. Now what? Most revenue teams have no answer to that question. They run blind.

ID

Your scoring agent runs. You think it ran correctly. It did not.

A personalization run timed out at 3 AM. Half your leads got scored without a message. They sat in the queue for two days with no outreach. Your reps never knew. Nobody flagged it. The Leads and Accounts Exception agent should have caught it - but nobody checked whether it ran.

OS

A signal source went idle. Your lead volume quietly dropped 40%.

Your Offsite Intent Leads source stopped returning data on Tuesday. By Thursday you had half your normal lead volume. Your SDRs assumed the market was slow. It was not. The source was idle. An alert would have caught it Tuesday morning.

SM

Your reps are asking why the queue is empty. The answer is buried in a log file.

The Campaign Sync agent did not export last night. The HubSpot CRM deal suppression did not run. Leads that should have been suppressed went into sequences. Existing pipeline got re-engaged. Your ops team is now manually cleaning up. This is what running agentic GTM without a watchtower looks like.

CR

Reply rates dropped and nobody knows which campaign changed.

Three new email campaigns launched this month. Reply rates dropped. Your reps blame the list quality. Marketing blames the messaging. The real answer is one campaign is outperforming the others by 3X - and nobody can see it because the data is spread across email, linkedin and a spreadsheet.

YOUR HERO SECTION

What is Agentic GTM analytics?

Agentic GTM analytics is the observability and performance layer that sits across your entire Kwanzoo AI GTM agent fleet - showing revenue teams the live status of every signal source, every agent phase, and every outbound send in one control tower.


Your Kwanzoo Signals Hub captures five signal streams: person-level website visitor ID, offsite intent leads, contact monitoring, social monitoring, and account intelligence. Your 14+ AI GTM agents - Hiring Signals, Contact-Level Intent, Scoring, Personalization, Campaign Sync, Leads and Accounts Exception, LinkedIn Connections - act on those signals every day.


Agentic GTM analytics tells you whether all of that is running correctly. It is not a reporting tool. It is a watchtower. One pane of glass over every agent, every phase, every send - with real-time status, automatic warnings, and fail-safe guardrails so nothing silently breaks before it reaches your reps.

THE KWANZOO AGENTS AGENTIC GTM ANALYTICS MONITORS

Every Kwanzoo AI GTM agent. Observable.

Agentic GTM Analytics monitors every agent in the Kwanzoo pipeline. Here is what each one does and what the watchtower tracks about it.

Hiring Signals agent

Detects ICP companies hiring for roles that signal active buying intent. Analytics tracks: lead volume sourced, ICP match rate, and source idle detection.

Contact-Level Intent agent

Website, offsite, and social intent at the person level - across people and companies. Analytics tracks: signal volume by stream, topic trending, and cross-source deduplication overlap.

Scoring agent

Multi-signal scoring tuned to your funnel. Analytics tracks: tier distribution, profile-fit rate, scoring run status, and fail-closed guardrail triggers.

Personalization agent

Researches each lead and writes the outreach angle. Analytics tracks: personalization completion rate, timeout flags, and per-run status so stalled runs are caught before export.

Campaign Sync agent

Routes qualified leads to the right email and LinkedIn sequence at the right moment. Analytics tracks: leads exported per channel, eligible vs exported count, and skip reasons.

Leads and Accounts Exception agent

Catches broken data, dropped follow-ups, and misrouted leads. Analytics tracks: exception volume, types, and resolution status.

LinkedIn Connections agent

Surfaces warm paths into target accounts from your team's network. Analytics tracks: connection signal volume and ICP match rate.

HubSpot CRM sync

Syncs deals and suppresses existing pipeline from outbound. Analytics tracks: deals fetched, suppression count, and sync run status.

Kwanzoo AI GTM Agents

How the Signals and Agents Work Together

Fourteen standard agents organized into seven layers. The Orchestrator coordinates the rest. Signal-capture agents feed Exclusion, which feeds Scoring, which feeds Content, which feeds Delivery, which feeds the Dashboard. Every agent is customizable - swap delivery channels, plug in your own signals, tune scoring weights - without breaking the flow.

Step 1 - Orchestrator kicks off

The Orchestrator triggers the daily flow at the time you've set. Every downstream agent runs in sequence under its coordination.

A conceptual image depicting a magnifying glass focusing on a group of people icons against a blue background.

Step 2 - Signal capture

Kwanzoo Intent picks up that a VP of Engineering at a Healthcare account viewed your pricing page on Tuesday. Company Jobs Intent reads a new posting at the same account - title generic, body referencing "Snowflake-based clinical data lake" - and flags it as a funded data platform initiative. 

Company News Intent notices the same account just filed a 10-K mentioning a digital modernization program. Custom signals adds your 6sense intent score for the account.

A dashboard showing intent signals, job postings, news alerts

Step 3 - Exclusion

Account-exclusion confirms the account isn't on your customer or suppression list. Lead-exclusion confirms the VP isn't unsubscribed, hasn't bounced, and the title/work email/LinkedIn all check out.

Checklist with green checkmarks beside account and lead verification items

Step 4 - Scoring (Lead-Scoring).

Lead-Scoring weighs the pricing-page hit + hiring signal + 10-K signal + 6sense score + ICP fit + industry match, and surfaces the contact in the top decile. Every input that contributed is visible.

A cinematic scene of a man composing or reviewing orchestral music at a desk, with sheet music, a computer monitor displaying score notation, and an orchestra blurred in the background under warm red lighting.

Step 5 - Content

Campaign-Segmentation routes the lead into your Healthcare-Data-Platform track. Message-Personalization generates a 3-touch email + 3-touch LinkedIn sequence plus a voice-drop script - opener tied to the Snowflake signal, peer proof from a matched-industry healthcare customer, soft CTA.

A person sitting cross-legged on a rocky cliff at sunrise, overlooking misty mountain peaks and a dramatic cloud-filled sky with warm orange light.

Step 6  -  Delivery

Email and LinkedIn delivery agents send the sequence on the right cadence. LinkedIn-Social-Followups watches the VP's activity and queues timely follow-ups. Person-based ads surround the buying committee on LinkedIn, Google, and Meta.

A stylized office scene with a woman using a laptop on a couch and a man standing with a tablet, connected by glowing communication lines between email and LinkedIn icons, with a hazy modern city skyline in the background.

Step 7 - Visibility (Dashboard).

Every signal captured, every score, every message sent, every reply, every meeting - visible to your team in the Dashboard, attributable back to the specific agents and signals that produced it.

AI dashboard with charts, metrics, and a glowing neural network interface
Company News & Triggers

Account-level trigger events

Monitor funding, M&A, leadership changes, filings, earnings, and other account-level trigger events. Sourced from press releases, SEC filings, earnings transcripts, company sites, and named industry publications.
FN

Funding

New capital means new budget. Companies that just raised are actively investing in tools to scale.
MA

M&A Activity

Mergers and acquisitions force re-evaluation of tech stacks, a natural entry point for new vendors.
IP

IPO / 10-K Filings

Public filings reveal strategic priorities, investment areas, and budget availability.
ER

Earnings Reports

Revenue growth or contraction signals budget shifts that directly affect buying decisions.
PR

Press Releases

Strategic announcements, new partnerships, product launches, executive moves, that signal initiative momentum.
LC

Leadership Changes

New CRO, VP of Sales, or CMO? They will re-evaluate the entire stack within their first 90 days.
PL

Product Launches

New product lines often require new tooling, partnerships, and go-to-market investment.
TS

Tech Stack

Know if your target accounts have complementary or competitive tech installed.
Hiring Signals

Read the funded initiative behind the hire

The Job Postings Agent monitors job boards for hiring signals at your target accounts, reading each posting to infer the funded initiative behind it, not just the role.
FN

Funded Initiative Detection

Reads the full posting to identify the initiative the hire is funding. A "Software Engineer" listing that references "Snowflake-based clinical data lake" signals a funded data platform program.
MA

Topic-Keyword Matching

Tracks keyword themes across postings: data platform, security stack, ERP modernization, CX transformation, AI/ML rollout, RevOps redesign.
IP

Noise Filtering

Ignores generic recurring roles, blanket talent-pipeline ads, and reposts of stale listings. Only qualifying signals make it through.
ER

Account-Level Aggregation

Rolls individual postings up to account-level intent. You see "Acme is investing in data infrastructure" instead of twelve disconnected role listings.
PR

Routing to the Right Team

Maps every qualifying signal to the team that should act on it: Sales, Marketing, or RevOps.
Sales & Marketing Engagement

Movement of named contacts across your channels

Captured by Contact Monitoring and fed back into scoring and delivery agents.
EE

Email Engagement

Opens, clicks, replies, and forwards across email touches.
LI

LinkedIn Engagement

Connection acceptances, message replies, post reactions.
VD

Voice Drop Engagement

Connects, callbacks, listens, and conversation outcomes from voice-drop touches.
LC

LinkedIn Connections

Warm paths into every target account. First-degree connections among your team, second-degree paths into the buying committee.
MS

Multi-Channel State

Composite engagement state across all channels. Who is hot, who has gone quiet, who just entered.
CE

Content Engagement

Asset opens, gated downloads, video plays, pulled from your MAP and tied to identified contacts.
CUSTOMER STORIES

What GTM Teams Say

See how revenue teams use Kwanzoo’s signals and agents to identify the right accounts faster, engage the right buyers sooner, and replace bloated GTM stacks with one AI-native platform.

Kwanzoo's amazing website visitor identity solution can identify beyond company level data. I highly recommend checking it out

Craig Booth

CSO and Partner, Sales Expert

“We leverage Kwanzoo as a valuable source of high-intent leads within our marketing tech stack to boost lead generation and drive revenue”

Mike Brak

SVP Sales and Marketing, Webbula

Frequently Asked Questions

Signals are data points that indicate buying interest or activity: person-level website visits, offsite intent, hiring activity, M&A, funding, leadership changes, engagement state, and more. Kwanzoo captures 25+ native signal types plus anything you bring in from your existing tools.

Stop paying for a stack that does not work.

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