Signals & Agents

Every buying signal your team needs. Plus 14+ agents that act on them.

Capture every signal that matters, person-level intent, hiring activity, account triggers, engagement state, into one Signals Hub. Score every contact and account transparently. Then run an end-to-end flow of 14+ standard agents, orchestrated and customizable, to turn signals into pipeline.


One AI-native platform. Unified GTM context layer. Common signals and data layer. Tie together all your data silos and SaaS GTM tech stack to deliver automated, agentic GTM workflows across marketing and sales. Replace your SaaS tech over time. All at one third the cost of what you pay today.

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ICP Scoring

Fit Attributes

Every signal is scored against your ICP across four attribute classes. Built from your own sales history, tunable per criterion.

Firmographic

Industry (8 canonical buckets), revenue range, employee count, HQ location, growth, and founding year.

Technographic

Tech stack composition, cloud provider, and marketing stack.

Intent

Research topics, content engagement, competitor research, and review-site activity.

Behavioral

Website visits (person-level), email opens, LinkedIn engagement, voice drops, and ad clicks.

Buyer Intent

Know exactly who is actively researching solutions like yours.

At the person level, not just the company.

ID

Person-Level Website Visits

De-anonymize who is visiting your website at the individual buyer level. Name, work email, LinkedIn, phone. Up to 30%+ visitor identification rate on US B2B traffic.
OS

Person-Level Offsite Intent

Identify the individual buyers researching topics related to your solution across 90,000+ media sites, even before they hit your site.
SM

Social Monitoring

Surface buyer activity and intent signals from LinkedIn and other social platforms. Who is posting about your category, who is engaging with your competitors.
CR

Competitor Research

Prospects actively researching competitor solutions. They are in evaluation mode right now.
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.

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.

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Watch Video

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
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

RESULTS

Proven GTM Impact

Performance outcomes teams can achieve with Kwanzoo’s AI agents and signals-driven workflows.
Reduction in cost per SQL
Increase in monthly leads
Weekly lead delivery
Visitor ID rate (US B2B)
The cost of legacy stacks

Frequently Asked Questions

See all 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.

Run agentic GTM workflows instead. Get the same outcomes as a 10-person ops team, without the headcount or the SaaS bill.

20 minutes. See the platform, see the agents, see what we replace.

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