Read Buying Signals & Prioritize Accounts

Help the user interpret buying signals, score leads, and prioritize accounts for outreach based on signal strength. This skill is platform-agnostic but references Apollo.io (with Bombora/LeadSift intent data) as the primary tool. The same frameworks apply to ZoomInfo Intent, G2, 6sense, Demandbase, or any intent data provider.

Step 1 — Gather context

Ask the user:

1. What signals are you working with?

   • A) Intent data (topics companies are researching)
   • B) Job change alerts (prospects who switched roles)
   • C) Funding/growth signals (recent raise, IPO, acquisition)
   • D) Hiring signals (job postings that indicate need for your product)
   • E) Technographic signals (adopted/removed a technology)
   • F) Engagement signals (website visits, content downloads, email opens)
   • G) All available signals — help me make sense of them
   • H) No signals set up yet — help me get started

2. What's your goal?

   • A) Prioritize my existing pipeline/list — who to contact first
   • B) Find new accounts showing buying behavior
   • C) Build a signal-based outreach workflow (automated)
   • D) Understand what my intent data is telling me
   • E) Set up intent/signal tracking for the first time

3. What tools do you have for signal data?

   • A) Apollo.io (Bombora/LeadSift intent)
   • B) ZoomInfo Intent
   • C) 6sense / Demandbase
   • D) G2 buyer intent
   • E) Bombora (direct)
   • F) CRM engagement data only
   • G) Multiple sources

4. What do you sell? (Brief description — this helps interpret which signals matter most for your product)

Step 2 — Signal taxonomy

Types of buying signals, ranked by strength

Signal type	Strength	What it means	Example
Direct intent	Very high	Company is actively researching your category or competitor	Bombora shows "sales engagement platform" topic surge
Job change — champion	Very high	A former champion or user moved to a new company	Your power user just became VP Sales at a new company
Competitive evaluation	High	Prospect is evaluating your competitor	G2 comparison page views, review site activity
Funding event	High	Company raised money — has budget for new tools	Series B announced last week
Hiring signal	High	Company is hiring for roles your product supports	Posting for 5 SDRs (signal for sales tools)
Job change — new leader	Medium-high	New executive in a role that buys your product	New CRO started 30 days ago
Technology change	Medium	Adopted/removed a technology adjacent to yours	Installed Salesforce (could need sales tools) — use Hunter.io TechLookup, Tomba's Technology endpoint, Prospeo's company enrichment tech stack field, or Seamless.AI's technology filters to detect
Company growth	Medium	Headcount growth, office expansion, new markets	Employee count grew 40% in 6 months
Content engagement	Medium	Interacted with your content (webinar, whitepaper, blog)	Downloaded your ROI calculator
Website visit	Low-medium	Visited your website (may be casual research)	Pricing page visit
Social engagement	Low	Liked/commented on your company's posts	Liked a LinkedIn post
Email open	Low	Opened your email (could be accidental/automated)	Opened but didn't reply

Signal decay

Signals lose value over time:

Signal age	Relevance
Last 7 days	Hot — act immediately
8-30 days	Warm — still worth pursuing
31-60 days	Cooling — use as context, not primary trigger
60+ days	Stale — don't reference in outreach, may no longer be relevant

Step 3 — Prioritization framework

Account scoring matrix

Score each account by combining signal strength and ICP fit:

	Strong ICP fit	Moderate ICP fit	Weak ICP fit
Multiple strong signals	Priority 1 — Act today	Priority 2 — Act this week	Deprioritize — signals don't overcome bad fit
One strong signal	Priority 2 — Act this week	Priority 3 — Queue for next cycle	Skip
Weak signals only	Priority 3 — Queue for next cycle	Priority 4 — Monitor	Skip
No signals	Priority 4 — Standard outbound	Skip	Skip

Key principle: ICP fit is the floor, signals are the accelerator. A perfect signal at a bad-fit company is still a bad prospect. A perfect-fit company with no signal is still worth contacting — just lower priority.

Lead scoring model

Assign point values to build a composite score:

Demographic fit (0-50 points):

• Title matches ICP persona: +20
• Seniority matches (Director+, VP+, C-suite): +10
• Department matches: +10
• Geography matches: +10

Firmographic fit (0-30 points):

• Industry matches: +10
• Company size in range: +10
• Revenue in range: +5
• Technology fit: +5

Signal score (0-50 points):

• Direct intent (category/competitor): +20
• Job change (champion): +20
• Funding event: +15
• Hiring signal: +10
• Technology change: +10
• Content engagement: +5
• Website visit: +5

Total score interpretation:

• 80+ = Priority 1 — immediate outreach
• 60-79 = Priority 2 — outreach this week
• 40-59 = Priority 3 — queue for next cycle
• <40 = Standard outbound or skip

In Seamless.AI

Seamless.AI provides Buyer Intent and Job Changes as native features:

1. Buyer Intent: Select intent topics relevant to your product → Seamless.AI scores accounts by research intensity across 12,000+ topics. Combine with Prospector filters to find contacts at high-intent accounts.
2. Job Changes: Tracks role changes for contacts in your CRM and saved lists. New hires, promotions, and company changes within 90 days. High-value trigger events — new leaders buy in their first 90 days.
3. Pitch Intelligence: AI-generated messaging based on prospect data, company news, and intent signals — use for signal-informed outreach angles.
4. Autopilot + Intent: Set Autopilot to continuously build lists filtered by intent signals — automated signal-to-list workflow.
5. Credit note: Buyer Intent and Job Changes are Pro/Enterprise features. Free/Basic plans don't include these.

In ZoomInfo

• 4,000+ intent topics — ZoomInfo tracks web activity across thousands of topics. Topics must be configured in your ZoomInfo admin — you only see signals for subscribed topics.
• Spike detection — ZoomInfo scores intent relative to a company's baseline. A "Spike" means activity is significantly above normal, indicating active research.
• Scoops — ZoomInfo's research team publishes pre-verified buying signals: project launches, technology evaluations, budget approvals, vendor changes. More specific than topic-based intent.
• Recommended Contacts — intent enrichment returns suggested contacts at spiking accounts, pre-matched to your buyer persona configuration.
• Alert configuration — set up Slack or email alerts when target accounts show intent spikes. Configure in ZoomInfo → SalesOS → Intent → Alerts.
• Integration — intent data syncs to Salesforce, HubSpot, and other CRMs. Use to trigger automated outreach sequences or update lead scores.
• API — POST /enrich/intent with companyId returns active topics, signal scores, signal start dates, and recommended contacts.

In Apollo.io

Apollo integrates Bombora and LeadSift intent data:

1. Set up intent topics: Settings > Intent > select keywords and competitor names to track
2. View intent scores: Apollo scores companies on a scale based on frequency, trend, and recency of research activity
3. Filter by intent: Use intent as a search filter to find accounts actively researching your category
4. Combine with ICP filters: Layer intent on top of firmographic/demographic filters for highest-quality lists
5. Job change tracking: Apollo surfaces job changes for contacts in your CRM — new roles within 90 days

In Clearbit (Reveal)

Clearbit Reveal identifies anonymous website visitors by matching IP addresses to companies:

1. IP-to-company identification: GET reveal.clearbit.com/v1/companies/find?ip={ip} — returns company firmographics (name, domain, industry, size, location) plus a confidence score.
2. Match rate: Typically 20-30% of website traffic. Only resolves business IPs — home/mobile IPs won't match. Set expectations accordingly.
3. De-anonymize website visitors: See which companies are visiting your site, which pages they view, and how often. Use this as a website visit signal in the scoring matrix above.
4. Personalize content: Use Reveal data to dynamically adjust website content, CTAs, or pricing pages based on visitor's company size, industry, or name.
5. Trigger sales alerts for target accounts: When a target account visits your pricing or demo page, fire a Slack alert or CRM task for the assigned rep. High-value signal when combined with intent data.
6. Combine with Prospector: Once Reveal identifies a company, use Clearbit Prospector (or /sales-enrich) to find the right contacts at that company — turns anonymous traffic into actionable leads.
7. JavaScript tag: Install the Clearbit JavaScript tag on your website to capture visitor IPs and stream identification data in real time.
8. Breeze Intelligence (HubSpot): Clearbit was acquired by HubSpot in December 2023. Reveal capabilities are now available as Breeze Intelligence within HubSpot, including buyer intent features. If you're on HubSpot, check Breeze Intelligence instead of standalone Clearbit.

In RB2B

RB2B provides person-level website visitor identification (US traffic only) — it identifies the individual visiting your site, not just the company:

1. Person-level identification: RB2B's pixel resolves individual visitors to name, work email, LinkedIn profile URL, job title, and company. This is a stronger signal than company-level identification (Clearbit Reveal) because you know exactly who visited.
2. Company-level identification: For non-US traffic and unmatched visitors, RB2B provides company-level ID (powered by Demandbase) — similar to Clearbit Reveal.
3. Hot Pages: Configure high-intent pages (pricing, demo, case studies) as "Hot Pages" — visitors to these pages are flagged for immediate sales follow-up. Use as a high-value signal in the scoring matrix above.
4. Hot Leads: Filter identified visitors by ICP criteria (title, company size, industry, seniority) — only surface visitors who match your target profile. Reduces noise from non-ICP traffic.
5. Real-time alerts: Push identified visitors to Slack, CRM (HubSpot/Salesforce), or webhooks in real-time. Sales reps can act within minutes of a website visit.
6. US-only limitation: Person-level ID only works for US-based visitors. International traffic gets company-level ID only. If your audience is primarily non-US, use Clearbit Reveal or Demandbase instead.
7. Coverage: Pro+ plans identify 35-45% of US visitors at person level. Lower plans have lower match rates. Set expectations accordingly.
8. Identity Resolution API: Separate API product at api.rb2b.com offers programmatic resolution (IP→LinkedIn, IP→Company, Email→LinkedIn, LinkedIn→Email). Credit-based pricing separate from the pixel product.

In 6sense

6sense is an enterprise ABM platform with proprietary intent data (Signalverse) and AI-driven buying stage predictions:

1. Signalverse Intent Data: 6sense captures 1 trillion+ signals from first-party website visits, third-party content consumption (Bombora, G2, TrustRadius), and CRM/MAP activity. Configure intent topics relevant to your product in the platform — 6sense tracks which accounts are researching those topics.
2. Buying Stage Predictions: AI classifies accounts into buying stages — Target, Awareness, Consideration, Decision, Purchase. Updated daily. More actionable than raw intent scores because it tells you where the account is in their journey.
3. 6QA (6sense Qualified Accounts): Fully customizable qualification criteria combining intent signals, profile fit, and buying stage. Use 6QAs as the trigger for sales outreach — they represent accounts most likely to buy.
4. Company Identification: GET epsilon.6sense.com/v3/company/details — identifies companies visiting your website by IP. Claims highest match rates in the industry. Feed identified companies into segments and workflows.
5. Sales Intelligence & Sales Copilot: AI-driven dashboard embedded in CRM showing prioritized accounts, recommended next actions, and talking points. Chrome extension shows intent data while browsing LinkedIn.
6. Company Discovery: Finds new accounts matching your ICP that aren't in your CRM yet — proactive signal-based prospecting.
7. Signal trends: 6sense tracks whether research intensity is increasing, stable, or decreasing — trend direction is more actionable than absolute signal strength.
8. Pricing note: Enterprise-only ($50K-200K+/year). Free plan (50 credits/mo) does NOT include intent data or predictive scoring. For budget-conscious teams, consider Bombora standalone ($25K/yr) or Apollo.io (intent included in lower-cost plans).

In Clay

• Signals: Clay tracks job changes, promotions, funding rounds, website visits, and company news as automated triggers. Configure signal rules to fire when conditions match your ICP.
• Signal-triggered workflows: When a signal fires, Clay can automatically enrich the person/company via waterfall, run Claygent for custom research, and trigger Email Sequencer outreach — all in one workflow.
• Audiences: Combine signals with enrichment data and CRM data to build dynamic buyer segments. Audiences update automatically as new signals fire.
• Ad Sync: Push signal-based audiences to LinkedIn, Meta, and Google Ads for targeted campaigns alongside outbound.
• Plan gate: Signals require Launch plan ($167-185/mo) or above. Ad Sync requires Growth ($446-495/mo).
• Best for: Teams wanting to automate the signal → enrichment → outreach pipeline in a single platform.

In AdRoll (RollWorks)

RollWorks (AdRoll's B2B arm) provides account-level intent and engagement signals:

1. Site visitor identification: IP-to-company matching identifies which companies visit your website. Pages viewed, visit frequency, and recency are intent signals for sales outreach.
2. Account scoring: Machine learning scores accounts based on fit + engagement. Prioritize accounts showing sustained engagement (multiple visits, key page views like pricing/demo).
3. HubSpot integration: RollWorks engagement data flows into HubSpot — account-level ad engagement, website visits, and scores visible on company records. Use to trigger HubSpot workflows for sales alerts.
4. Intent-based advertising: Target accounts showing engagement signals with account-based display ads — coordinate ad air cover with sales outreach timing.
5. Best for: HubSpot-centric teams wanting website visitor identification + account scoring without a full enterprise intent platform.

In LeadMagic

• Job Change Detector: Track when contacts change jobs — new role, new company (3 credits per result). Use to trigger outreach when champions move to new accounts or when decision-makers join target companies.
• Jobs Finder: Search job listings across industries to identify hiring signals — companies posting for roles that indicate budget, growth, or need for your product (1 credit per result).
• Ads Intelligence: Google Ads Search, Meta Ads Search, and B2B Ads Search reveal what competitors and prospects are spending on advertising — a signal of active investment and priorities (1 credit per ad).
• API-first: All signal endpoints are REST APIs — automate signal detection in pipelines via api.leadmagic.io.
• Best for: Teams wanting programmatic access to job change and hiring signals without a full intent platform.

Step 4 — Signal-to-action playbooks

For each signal type, define the action:

Direct intent detected (company researching your category):

1. Identify the likely buyer (by title/role at that company)
2. Enrich contact info → /sales-enrich
3. Send personalized outreach referencing their challenge area (NOT "I see you're researching X" — that's creepy)
4. Messaging angle: lead with a relevant case study or insight about the problem they're researching

Job change — former champion:

1. Wait 30-60 days (let them settle in)
2. Send a congratulatory message — no pitch
3. Follow up 2-3 weeks later with a soft ask: "As you're getting set up, happy to share what worked at [their old company]"

Job change — new leader:

1. Research the new leader's background (LinkedIn, previous company)
2. New leaders make buying decisions in their first 90 days — timing is critical
3. Messaging angle: "New [title]s at companies like yours typically face [challenge]. Here's how we've helped others in your situation."

Funding event:

1. Act within 2 weeks of announcement (before competitors do)
2. Reference the funding specifically: "Congrats on the Series B"
3. Messaging angle: connect your product to what the funding is for (scaling team, entering new market, building infrastructure)

Hiring signal:

1. Identify what roles they're hiring for and why it matters
2. Messaging angle: "I noticed you're building out your [team]. Companies in that phase often need [your product] to [outcome]."

Competitive evaluation:

1. Highest urgency — they're actively comparing options
2. Lead with differentiation, not feature lists
3. Offer a rapid evaluation or proof of concept
4. Messaging angle: "If you're evaluating [category], here's what our customers say makes us different from [competitor]"

Step 5 — Workflow automation

Automated signal-to-sequence routing

Set up rules to automatically route signals into outreach:

Signal trigger	Action	Sequence type
Intent score spikes (new)	Add to high-intent sequence	Aggressive — 5-7 touches over 14 days
Job change detected	Add to job change sequence	Warm — congratulations + soft pitch over 30 days
Funding announced	Add to funding sequence	Timely — reference funding, 4-5 touches over 10 days
Website pricing page visit	Notify rep in Slack	Manual follow-up — don't automate, too personal
Content download	Add to nurture sequence	Educational — 3-4 touches over 21 days

In Apollo.io

Use Apollo Workflows (Professional+ plan) to automate:

1. Trigger: Intent topic score increases, job change detected, or contact stage changes
2. Action: Add to sequence, create task, update field, send Slack notification
3. Filter: Only trigger for contacts matching your ICP criteria

Gotchas

• Don't treat all signals as equal. Claude tends to list all available signals without weighting them. A Bombora intent spike is vastly more actionable than a LinkedIn post like. Use the signal strength ranking to prioritize.
• Don't reference signals directly in outreach. Never say "I saw you're researching sales engagement tools" or "I noticed you visited our pricing page." It's creepy and breaks trust. Use signals to inform your timing and angle, not your opening line.
• Don't act on stale signals. Intent data older than 30 days is context, not a trigger. A funding round from 6 months ago is not a reason to reach out "about your recent raise." Check signal dates.
• Don't ignore ICP fit because a signal is strong. A strong buying signal at a company that's too small, in the wrong industry, or in a geography you can't serve is still a bad prospect. Signal + fit = action. Signal alone ≠ action.
• Don't automate outreach for high-value signals. For direct intent, competitive evaluation, and champion job changes, manual personalized outreach dramatically outperforms automated sequences. Reserve automation for lower-strength signals (content downloads, website visits).

Related skills

• /sales-prospect-list — Build the prospect list to layer signals on top of
• /sales-enrich — Enrich signal-triggered contacts with verified contact info
• /sales-cadence — Design signal-specific outbound sequences
• /sales-apollo — Apollo intent configuration, topic setup, and workflow engine
• /sales-deal-inspect — Use signals to inform deal health assessment
• /sales-tomba — Tomba platform help (technology detection endpoint for technographic signals, similar domains for competitor mapping)
• /sales-prospeo — Prospeo platform help (company enrichment with tech stack detection, job postings as hiring signals)
• /sales-hunter — Hunter.io platform help (Signals for buying intent, TechLookup for technographic prospecting, Discover for company search)
• /sales-seamless — Seamless.AI platform help (Buyer Intent, Job Changes, Pitch Intelligence, Autopilot)
• /sales-clearbit — Clearbit platform help (Reveal for visitor identification, Enrichment, Prospector)
• /sales-rb2b — RB2B platform help (person-level visitor identification, Hot Pages, Identity Resolution API)
• /sales-6sense — 6sense platform help (Signalverse intent data, predictive scoring, Sales Intelligence, AI Email Agents, advertising, orchestration)
• /sales-zoominfo — ZoomInfo platform help (SalesOS, intent topics, Scoops)
• /sales-clay — Clay platform help (Signals, waterfall enrichment, Claygent, Email Sequencer, Ad Sync)
• /sales-leadmagic — LeadMagic platform help (Job Change Detector, Jobs Finder, Ads Intelligence, programmatic signal APIs)
• /sales-adroll — AdRoll platform help (RollWorks site visitor identification, account scoring, HubSpot integration)
• /sales-b2b-advertising — account-based advertising driven by intent signals
• /sales-retargeting — Retargeting strategy (website visitor retargeting as a signal-driven channel)
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skills sales-do

Examples

Example 1: Prioritizing accounts with intent data

User says: "I have 200 accounts in my territory. Apollo shows intent data on 40 of them. How do I prioritize?"
Skill does:

1. Builds a scoring matrix combining ICP fit + intent signal strength
2. Segments the 40 intent accounts into Priority 1 (act today), Priority 2 (this week), Priority 3 (next cycle)
3. Creates signal-specific messaging angles for each priority tier
4. Recommends ignoring intent at accounts that don't fit the ICP
   Result: Prioritized account list with tailored approach per tier

Example 2: Job change outreach strategy

User says: "Three of my former champions just changed jobs. How do I reach out?"
Skill does:

1. Recommends waiting 30-60 days for each (check start dates)
2. Designs a 3-touch sequence: congratulations → value reference → soft ask
3. Provides messaging templates that don't feel like a pitch
4. Sets up Apollo job change tracking for future alerts
   Result: Warm outreach plan that preserves the relationship while opening a new opportunity

Troubleshooting

No intent data showing

Cause: Intent topics not configured, or plan doesn't include intent data
Solution: Check Settings > Intent in Apollo. Select relevant keywords and competitor names. Intent data requires a Professional or Organization plan with Bombora/LeadSift add-on.

Too many signals — can't prioritize

Cause: Broad intent topics generating noise
Solution: Narrow intent topics to your specific category (not broad terms). Combine intent with ICP filters to reduce volume. Focus on signals with recency <14 days and trend direction "increasing."

Signals don't match reality

Cause: Intent data measures content consumption, not purchase intent. A company researching "CRM" might be writing a blog post, not buying one.
Solution: Never rely on a single signal. Stack signals — intent + hiring + funding is much stronger than intent alone. Validate with a quick LinkedIn check before investing in personalized outreach.