Purchase intent signals are everywhere. A company is hiring a VP of Sales (intent signal: they’re scaling revenue). A company is suing a competitor (intent signal: they’re dissatisfied). A company downloaded your competitor’s pricing page (intent signal: they’re evaluating solutions).
Most B2B companies ignore these signals. They prospect into a cold universe with no idea whether the prospect is buying or dormant.
Intent data changes that. By layering purchase signals into your account selection, scoring, and outreach timing, you can:
This playbook walks you through sourcing intent data, integrating it with your GTM stack, and activating it for pipeline.
Intent data comes in different flavors. Each has trade-offs.
Zero-party intent is explicit intent your company captures directly.
Examples:
Strengths: - High accuracy (they’re directly interacting with you). - Easy to track and measure. - Accounts for customer psychology (they took action).
Weaknesses: - Late signal (typically arrives when they’re already aware of you). - Small volume (requires people to know you exist).
Use case: Most valuable for immediate activation (within 3 days of signal, trigger outreach).
First-party intent is behavioral data on your own website, from your own tools.
Examples:
Strengths: - High relevance (they’re showing interest in you specifically). - Controllable (you decide what pages matter, what engagement = intent). - Trackable (easy to measure in your own systems).
Weaknesses: - Requires robust tracking (IP identification, CRM integration). - Only shows intent about your solution, not broader category.
Use case: Most valuable for immediate outreach timing (within 7 days of key engagement, like pricing page visit).
Second-party intent is data shared with you by partners or through integrations.
Examples:
Strengths: - Broader reach than first-party. - Indicates category awareness (not just awareness of you). - Often more timely than third-party.
Weaknesses: - Quality varies (some platforms have high attribution error). - Delayed reporting (sometimes 2-4 weeks after the event). - May be lower intent (joining a webinar is lower intent than requesting a demo).
Use case: Useful for account list building and research (add to target list), less useful for immediate timing.
Third-party intent is publicly available data purchased from intent platforms or scraped from public sources.
Examples:
Strengths: - Broad coverage (nearly every company shows some signals). - Scalable (no one-to-one tracking required). - Predictive (signals often appear before purchase window opens).
Weaknesses: - Lower accuracy (aggregated, inferred signals have noise). - Delayed (by the time a job posting is public, the role has been open for weeks). - Lots of false positives (a company hiring VP Sales doesn’t mean they’re buying your specific solution).
Use case: Most valuable for account list building (which 50-100 accounts should we focus on?) and longer-term forecasting (these accounts will likely enter the market in 60-90 days).
Job postings: - LinkedIn Sales Navigator (search for companies hiring for specific roles). - ZoomInfo (job posting feed). - Company websites (careers page).
Build a simple tracker: Pull job postings for your target companies monthly. Track which ones are hiring for revenue-related roles (VP Sales, Head of RevOps, Sales Manager). When a new posting appears, flag it and add to your outreach list.
News and funding: - Crunchbase (funding rounds, news). - LinkedIn company page (updates, news). - Yahoo Finance (company news). - Company press releases.
Set up Google Alerts or RSS feeds for your target accounts. When news breaks, review within 24 hours. Is it buying-related (funding, expansion, new product) or not (management shuffle, office closure, employee award)? If buying-related, reach out within 48 hours.
Website engagement (first-party): - Website analytics (Google Analytics, Mixpanel). - Email marketing platform (opens, clicks, unsubscribes). - CRM (activity history).
Most companies have this data already. The issue is activation. If someone visits your pricing page, how quickly do you reach out? Ideal: within 24 hours. Typical: never (it’s lost in the noise).
Social signals: - LinkedIn (who’s engaging with your content, who’s discussing your category). - Twitter (search for companies discussing your category or competitors). - Discussion forums (Reddit, Blind, industry-specific forums).
Monitor for mentions of your category or competitors. When a company employee publicly discusses a challenge you solve, that’s intent signal. Reach out: “Saw your comment about [challenge]. We’ve helped teams solve this. Happy to share insights.”
If you have budget (typically 10-30K annually), intent platforms aggregate and prioritize signals.
Common platforms:
Selecting a platform:
Do you need intent for outbound (daily updated signals for outreach timing)? Pick a platform strong in real-time signals (6sense, Demandbase).
Do you need intent for account research and list building? Pick a platform strong in enrichment and coverage (Apollo, Clearbit).
Do you want to trigger automated outreach on intent signals? Pick a platform with workflow integration (6sense, Demandbase, Outreach/Salesloft).
ROI model: If platform costs 20K and generates 10 net-new deals at 100K each (that wouldn’t have happened without intent timing), you’ve generated 1M in incremental revenue. That’s a 50x return.
Intent is only valuable if it influences decisions. This requires integration.
Layer intent signals into your account score. Example:
Account Score = (Firmographic × 30%) + (Intent × 40%) + (Relationship × 20%) + (Technographic × 10%)
Intent component (40%):
- Job posting activity in last 30 days: +10 points
- Job posting activity in last 90 days: +5 points
- Recent funding or news: +8 points
- Website visit to your pricing page: +7 points
- Downloaded competitor comparison: +6 points
- Attended your webinar: +10 points
- Website engagement (visits + time on site): +3 points
Accounts with higher intent scores are prioritized for outreach.
Import intent scores into Salesforce as a custom field “Intent Score” (0-100).
Create dynamic account tier rules:
Tier 1: (ICP Fit > 75 AND Intent Score > 70) OR (Existing customer)
Tier 2: (ICP Fit > 60 AND Intent Score > 50) OR (ICP Fit > 75 AND Intent Score < 50)
Tier 3: (ICP Fit > 40) OR (All others)
Accounts move between tiers dynamically. If a Tier 3 account suddenly shows high intent, promote it.
When an account shows intent signal, trigger immediate outreach.
Trigger 1: High-intent website activity (pricing page visit)
Within 12 hours of a pricing page visit from an identified company:
Trigger 2: Job posting for revenue role
Within 48 hours of a job posting for VP Sales or RevOps:
Trigger 3: Funding or major news
Within 24 hours of funding or significant news:
Trigger 4: Webinar or content engagement
Within 3 days of webinar attendance or high-engagement content download:
If you have marketing automation (HubSpot, Marketo, Pardot), create scoring that incorporates intent:
Total > 50 points = “sales-ready lead” = hand off to sales.
This automates the discovery of high-intent contacts within high-intent accounts.
When you detect an intent signal, follow a 5-step playbook:
Intent data has noise. Before you reach out, validate:
If any are “no,” skip the outreach.
Reference the signal and the account context:
NOT: “Hi [Name], I noticed you work at [Company]. You might be interested in [Generic Pitch].”
YES: “Hi [Name], I saw [Company] is hiring a VP of Sales (congrats on scaling the team). Most revenue teams at your growth stage struggle with ops infrastructure before scaling headcount. I worked with [Peer Company’s] CRO on exactly this challenge. Thought it might be relevant. Should we grab 15?”
The key: Show that you know their situation and have specific perspective on it.
Send the message via the right channel:
If LinkedIn message, follow up with email 3 days later (now you have a data point: did they click your LinkedIn message?).
Log the outreach in Salesforce with the intent signal that triggered it:
Over time, analyze: Which intent signals have the highest conversion rate to meetings? Double down there. Which signals have low conversion? Maybe they’re not as predictive as you thought.
Intent signals decay. A job posting from 60 days ago is less predictive than one from 1 day ago. A website visit from 90 days ago with no follow-up is stale.
Job posting: Full value for 14 days, then decays 10% every 7 days. After 90 days, 0 value.
Website engagement: Full value for 7 days, decays 20% every 3 days. After 30 days, 0 value.
Funding/news: Full value for 7 days, decays 5% per day. After 90 days, 0 value.
If an account showed intent 90 days ago and went quiet:
Q: If we have multiple intent signals for the same account, how do we weight them?
A: Weight by accuracy. Zero-party intent (webinar attendance) > first-party intent (website visit) > second-party intent (content syndication) > third-party intent (job posting). If an account shows multiple signals, they’re higher-intent than one showing a single signal. Tier accordingly.
Q: How do we validate intent data accuracy if we don’t have a way to test it?
A: Test on a small cohort. Take 20 accounts flagged as “high intent” by your platform. Reach out to them. What percent do you get meetings with? What percent do you convert to opportunities? Compare to non-intent-flagged accounts. If intent cohort outperforms by 30%+, the data is valuable.
Q: Can we use intent data for email list quality check?
A: Yes. If you’re about to send a broad campaign to 1,000 companies, filter for intent first. Only email the 200-300 companies showing recent intent activity. Response rates will be 2-3x higher.
Q: What if we don’t have budget for an intent platform?
A: Start with free sources. Monitor LinkedIn job postings, set Google Alerts, use your website analytics. This takes 1-2 hours per week but costs nothing. Once you see ROI, justify investment in a platform.
Q: How do we measure the ROI of intent data?
A: Compare conversion rates: accounts we reached out to because of intent signals vs. cold accounts. Intent accounts should have 50-100% higher reply rates and 30-50% higher meeting rates. Track the pipeline generated and revenue closed from intent-triggered accounts. That’s your ROI.
Q: Should we prioritize account selection or outreach timing?
A: Both matter. If you pick the wrong account, intent doesn’t matter. If you pick the right account but reach out at the wrong time, you’ll get ignored. Ideal: right account + right time = highest ROI.
Q: Can we automate intent-based outreach entirely?
A: Mostly. Tools like 6sense and Salesloft allow you to trigger email sequences on intent signals. But personalization and relationship building still require human touch. Automate the trigger and initial message; manually handle follow-ups and conversations.
Intent data is the bridge between cold prospecting and warm inbound. It tells you when a company is actively buying, which accelerates your ability to reach them at the right time with the right message.
Start simple: Monitor job postings and website engagement for your top 50 target accounts. When you see a signal, reach out within 24 hours. Measure conversion. Iterate.
As you refine, invest in an intent platform. The ROI is significant if you execute well.
Ready to activate intent data in your GTM motion?
Book a demo with Abmatic to see how account data and intent signals help you identify high-priority targets and time your outreach for maximum impact.