Keysight
Analysing your MQLs
Running intent signal checks across your companies…

📋 Intent Signal Reference Matrix

What we search for across each category and urgency tier

Hover over any signal to see why it matters for Keysight.
Keysight Technologies — Sales Intelligence

Intent Signal
Analyser

AI-powered buying signal detection for your sales team. Surface the right accounts, at the right time, with the right message.

Tools & Modules
🔍
Intent Analyser
Upload a company list and run real-time signal analysis across 63 buying triggers. Get ranked, cited results in minutes.
📊
Signal Dashboard
See which of the 63 signals drive the most conversions from MQL to Opportunity — learns from every analysis you run.
🎯
MQL Scoring
Combine CRM first-party data with intent signals to surface your top 25 accounts ready for sales handoff right now.
⚙️
How It Works
Understand the architecture — how CRM data, intent signals, and Claude AI combine to prioritise leads automatically.
📡
What We Check
Explore every intent signal tracked — 63 signals across 7 categories, grouped by urgency tier and ICP segment fit.
Connect your CRM

Sync your CRM for seamless sales workflow automation

Analyse your MQL

Upload a CSV of target companies to start detecting buying intent signals

No file chosen
Required columns: Company Name  ·  Domain

Review your list

Confirm the companies below look correct before running the analysis

📋 Company List
# Company Name Domain

Configure Companies

Log lead activity and confirm intent signals for each company before running analysis

Companies 0 / 0
👈

Select a company to configure

Analysing…

0 / 0 complete 0%

Intent Analysis Report

Companies
👈
Select a company to view its signal breakdown

Signal Performance

Which signals have historically moved deals through your pipeline

🧠
This dashboard learns as you work. Every analysis you run on the Analyser page is automatically saved to your signal history. The funnel and leaderboard update each time you return here.0 live
Pipeline Funnel
Signal Win-Rate Leaderboard
How It Works

From noise to next action
in minutes, not days

Your CRM data meets real-time market signals. AI finds which companies are in-market right now — and tells your reps exactly who to call first.

63 intent signals tracked
30-day live search window
Real-time AI web search
100% source-cited results
The brief
Why marketing leads never make it to sales
📬 Client brief

"A lot of marketing leads get ignored by sales teams. If you can add context that makes HubSpot leads more lucrative for Sales — suggesting a customer's propensity for conversion — that could be a good place to start."

🏢
Keysight Technologies Sales Enablement · Initial brief
🏢
First-Party Data
  • HubSpot lead engagement score
  • Content downloaded (whitepapers, case studies)
  • Demo requests, trial activity
  • Days since last contact & ICP fit
＋
📡
Real-Time Intent Signals
  • Funding rounds & budget expansion events
  • Hiring spikes in relevant technical roles
  • New contracts, regulatory wins
  • Tech launches & partnership announcements
→
Our answer
🎯
Propensity Score + Reasoning
  • Each lead ranked ACT NOW → NURTURE
  • AI explains why each signal matters
  • Every claim linked to a verifiable source
  • Reps call with context, not just a name
The problem
Why reps miss the buying window
😓
Without Intent Analyser
  • ✗Manually scanning LinkedIn, Crunchbase & news sites for hundreds of companies
  • ✗Outreach order decided by gut feel, not data
  • ✗Buying signals expire in 30 days — you're usually too late
  • ✗No proof of why you targeted this company
  • ✗Hours wasted on companies not ready to buy
⚡
With Intent Analyser
  • ✓AI scans 63 signals across all your prospects in minutes
  • ✓Leads ranked ACT NOW → ACT SOON → NURTURE automatically
  • ✓Always within the 30-day window — runs on today's live web data
  • ✓Every insight backed by a named, linked, verifiable source
  • ✓Spend time only on companies actively showing buying intent
Step by step
From CSV to ranked leads in 6 steps
01
📂
Upload your CSV
Drop a spreadsheet of target companies. Just company name and domain — nothing else needed to start.
02
📋
Log lead activity
Tell the system what the lead did — whitepaper downloaded, demo requested, webinar registered, or trial started.
03
🤖
AI maps the signals
Claude reads the whitepaper and maps it to 3–8 intent signals most relevant to this company's profile.
04
🔍
Real-time web search
Claude searches the live web for each signal — funding rounds, hiring spikes, contracts, tech launches — last 30 days only.
05
⚡
Score & rank
Each signal gets an urgency tier: ACT NOW (reach out in 24h), ACT SOON (1–2 weeks), NURTURE, or NO SIGNAL.
06
📄
Report + citations
Every finding includes the source URL and publication name. Any claim is independently verifiable in seconds.
The data model
Two sources, one ranked list
🏢 First-Party Data
What your CRM already knows
  • Company size & industry
  • CRM lead engagement score
  • Days since last contact
  • ICP fit score
  • Lead activity (whitepaper, demo…)
CRM
🤖
Intent
🎯 Top 25
Prospects
📡 Second-Party Data
What's happening in the market right now
  • Funding & investment rounds
  • Hiring signals & headcount growth
  • Tech triggers & product launches
  • Regulatory & contract awards
  • Behavioral & market events
What we check
63 signals across 7 categories
💰
Funding & Investment
4 signals
Crunchbase · SEC EDGAR
👥
Hiring Signals
10 signals
Indeed · LinkedIn · Careers pages
⚡
Tech Triggers
13 signals
Newsrooms · PR Newswire · EE Times
📋
Regulatory & Contract
12 signals
SAM.gov · USASpending.gov
🤝
Partnerships
4 signals
Newsrooms · PR Newswire
📊
Behavioral Signals
11 signals
Twitter / X · Company Blog
📰
Market Events
9 signals
Google News · Reuters

MQL Scoring

500 prospects scored on ICP fit, intent signals and CRM engagement — ranked by readiness for sales handoff

Prospects
#CompanyIndustrySignals
🎯 Top 25 — Ready for Sales Handoff
End-to-End Workflow

From ICP to ranked leads
with cited reasoning

Two phases — humans and AI configure the intelligence layer once, then the agent runs autonomously on every new lead batch.

Phase 1 Human + AI · one-time setup
Phase 2 AI agent · runs per batch
1 human checkpoint
0 compliance risk
👤 Phase 1  ·  Human + AI Agent  ·  One-time setup
01
📋
Receive & Prepare ICP
Ingest the Ideal Customer Profile document — firmographics, tech stack, pain points, and buying triggers that define a qualified prospect.
👤 Human
This document is the foundation for everything downstream. It defines which signals matter and how to weight them. Quality in, quality out.
02
🎯
Filter Best-Fit Signals
AI maps ICP attributes across 7 signal categories, retaining only those with the strongest conversion correlation for this customer profile.
👤🤖 Human + AI
From 1000+ tracked signals, typically 50–125 are shortlisted. Human reviews the shortlist for domain fit — e.g. a defense-focused ICP weights regulatory signals higher.
03
🧪
Guided Trial Run
Each shortlisted signal source is dry-run tested against 2–3 sample companies. Sources returning noise or blanks are swapped out before going live.
👤🤖 Human + AI
Validates that reference URLs, search queries, and mappings actually return useful data in the field — not just in theory.
04
📚
Lock Signal Library
Final approved signals, source references, and mappings are locked — the agent's permanent lookup table for all future runs.
👤 Human approval
Once locked, no further configuration is needed. The agent operates on this library indefinitely — update it only when the ICP changes.
🤖 Phase 2  ·  AI Agent Only  ·  Runs per batch
05
📂
Lead Ingestion
Upload a CSV of marketing leads or connect directly to HubSpot / Salesforce. Company name, domain, and lead activity is all that's needed.
👤 User trigger
This is the only action the user takes in Phase 2 before the checkpoint. Everything else is autonomous until the signal review step.
06
🔒
Secure First-Party Fetch
Agent retrieves CRM engagement data — lead score, content downloads, last contact, ICP fit. No LLM processes this data. Fully isolated.
🔒 No LLM · 100% Secured
First-party CRM data never passes through an AI model — it's read, structured, and held in memory only. Addresses the core data privacy concern from the client brief.
07
🧠
Activity Intelligence
Agent reads the lead's engagement pattern and interprets intent — e.g. "downloaded RF test whitepaper post-webinar → likely in pre-tapeout evaluation phase."
🤖 AI Agent
Connects the dots between what the lead consumed and what it signals about their buying stage. This is the "why" that makes first-party data actionable.
08
📡
Signal Recommendation
Agent maps the lead's profile and activity to the most relevant signals from the locked library — e.g. funding + hiring signals for a Series B company scaling hardware.
🤖 AI Agent
Not every signal applies to every lead. This step ensures deep research is targeted — no wasted cycles on irrelevant categories.
✋
👁️
Human Checkpoint — Signal Review
Review the agent's recommended signal list. Add any signals you want included, remove any that don't fit this batch. Confirm to proceed.
✋ Optional review
The only pause point in Phase 2. Once confirmed, the agent runs deep research autonomously — no further input needed until the final ranked report lands.
09
🔍
Deep Public Research
Agent searches the live web across approved signal sources — SAM.gov, Crunchbase, Indeed, Google News — within the 30-day window. Strictly public data.
🤖 AI Agent · Public data only
Zero compliance risk — everything fetched is publicly accessible. No scraping of private data, no third-party data purchases.
10
⚡
Insight Compilation
For each company: when the signal occurred, what the event was, and why it matters — mapped to the lead's prior activity and ICP fit. Every claim source-cited.
🤖 AI Agent
The reasoning layer — turns raw signal data into a narrative a sales rep can use in the first 30 seconds of a call.
11
📊
Urgency Scoring & Rank
Each lead is scored across all signals and assigned a final tier — ACT NOW, ACT SOON, NURTURE, or NO SIGNAL — then ranked by readiness.
🤖 AI Agent
The rep's queue is sorted so the highest-propensity lead is always first. No gut feel, no guesswork — every rank is traceable to specific signal evidence.
🎯
📬
Deliverable — Sales Rep Brief
Ranked leads with propensity tier, signal summary, and sourced reasoning. Tells the rep who to call, when to call, what happened, and why it matters — in one view.
🎯 Output
First-party engagement context + live market signals + AI reasoning = a lead list that sales teams actually act on.