Using Intent Data for Email Prospecting: A Practical Guide
By Email ExtractorPublished 7 min read
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What Intent Data Is
Intent data captures signals that indicate a person or company is actively researching a topic, product category or solution. These signals help sales and marketing teams identify prospects who are in-market before they fill out a form or contact you:
Signal type
Example
What it indicates
Content consumption
Prospect reads 5 articles about "CRM migration" in a week
Actively researching CRM solutions
Search behaviour
Company employees search for "best project management tools"
Evaluating project management software
Website visits
Multiple visits to your pricing page from same company
High intent; considering your product
Review site activity
Prospect reads reviews of your product category on G2
Evaluating solutions; comparing options
Social engagement
Prospect engages with posts about your product category
Early awareness or consideration
Job postings
Company hiring for roles that use your product
Building the team that would use your solution
Technology changes
Company removes competitor from tech stack
May be evaluating alternatives
Event registration
Prospect registers for a webinar on your topic
Actively learning about the problem space
Types of Intent Data
First-party intent data (your own data)
Source
Signal
How to capture
Website visits
Pages viewed, time on site, return visits
Web analytics (Google Analytics, Mixpanel)
Content downloads
Which content assets a prospect downloads
Marketing automation (HubSpot, Marketo)
Email engagement
Opens, clicks, replies to your emails
Email platform analytics
Product usage (free tier / trial)
Feature adoption, usage patterns
Product analytics (Amplitude, Pendo)
Chatbot interactions
Questions asked, pages visited before chat
Chat platform data
Webinar attendance
Registration, attendance, engagement score
Webinar platform
Pricing page visits
Views of pricing, plan comparison
Web analytics with page-level tracking
Search on your site
What visitors search for on your website
Site search analytics
Third-party intent data
Source
What it captures
How it works
Bombora
Topic-level research activity across a cooperative of B2B websites
Data cooperative model; members contribute data; tracks company-level surge in topic research
G2
Activity on G2 product review pages (category, comparison, alternative pages)
Tracks which companies are researching product categories and reading reviews
TrustRadius
Review site activity similar to G2
Company-level intent from review research
Bidstream data
Ad exchange data revealing browsing behaviour
Aggregated from programmatic advertising exchanges (declining due to privacy changes)
Search intent
Search queries on public search engines
Aggregated search data; typically company-level
Social intent
Social media engagement on relevant topics
Aggregated social signals
Technographic changes
Changes to a company's technology stack
Tracked by scanning websites for technology signatures
Job posting intent
Hiring patterns that indicate buying intent
Aggregated from job boards
Comparison of intent data types
Dimension
First-party
Third-party
Accuracy
High (your own data)
Moderate (inferred, aggregated)
Specificity
Individual-level (specific person)
Usually company-level (not specific person)
Volume
Limited to your audience
Broader market coverage
Cost
Low (tools you already have)
High (subscription pricing)
Timeliness
Real-time
Delayed (daily to weekly updates)
Signal strength
Strong (they are on your site)
Moderate (they are researching the topic, not necessarily you)
Privacy risk
Lower (your property)
Higher (cross-site tracking concerns)
Third-Party Intent Data Providers
Provider
Primary signal
Company-level or contact-level
Approximate pricing
Bombora
Topic research surge data
Company-level
$25K-$100K+/year
G2
Product category research on G2
Company-level (with contact enrichment)
$15K-$60K+/year
TrustRadius
Review site research
Company-level
Custom pricing
6sense
Multi-source intent aggregation
Company-level (with contact data)
$60K-$500K+/year
Demandbase
Multi-source intent + advertising
Company-level
$50K-$500K+/year
ZoomInfo
Intent + contact database
Company and contact level
$15K-$100K+/year
Leadfeeder (Dealfront)
Website visitor identification
Company-level
From $99/month
Clearbit (HubSpot)
Website visitor identification + enrichment
Company-level
Free tier available
KickFire
IP-based website visitor identification
Company-level
Custom pricing
Building an Intent-Based Prospecting Workflow
Workflow overview
Step
Action
Tools
1
Define intent topics
List the topics that signal buying intent for your product
2
Configure intent data sources
Set up first-party tracking; subscribe to third-party data
3
Set scoring thresholds
Define what level of intent triggers outreach
4
Identify companies showing intent
Review intent data for companies matching your ICP
5
Find contacts at those companies
Use contact databases to find decision makers
6
Personalise outreach based on intent
Reference the topic they are researching
7
Measure results
Compare intent-driven outreach to non-intent outreach
Building the team; may need tools for that function
Competitor page visit (your site)
35
Comparing you to competitors; high intent
Blog visit (single)
5
Low signal; could be casual browsing
G2 category page visit
30
Actively comparing solutions
Webinar registration
20
Interested in the topic; moderate intent
Intent scoring thresholds
Score range
Intent level
Action
0-20
Low intent
Marketing nurture; no sales outreach
21-40
Medium intent
Add to marketing campaigns; monitor for score increase
41-60
High intent
Sales outreach within 48 hours
61-80
Very high intent
Priority sales outreach within 24 hours; personalised email
81-100
Critical intent
Immediate sales outreach; phone + email same day
Using Intent Data in Email Outreach
Personalising emails with intent signals
Intent signal
How to reference in email
Example
Researching your topic
Reference the topic without revealing tracking
"Many [role]s are evaluating [topic] right now..."
Visited your pricing page
Offer pricing discussion
"Happy to walk through pricing options that fit your team size"
Competitor research
Position against competitor
"If you are comparing [category] options, here is how we differ from [competitor]..."
Job posting
Reference the hire
"I noticed you are hiring a [role]. Companies building that team often need..."
Funding round
Reference the growth
"Congratulations on the [round]. Companies at your stage usually invest in..."
Review site activity
Offer to answer questions
"If you are evaluating [category], I can share what [similar company] considered..."
What NOT to do with intent data
Mistake
Why it is a problem
Better approach
"I saw you visited our website"
Creepy; reveals tracking; damages trust
Reference the topic, not the specific action
"You have been researching [topic]"
Feels like surveillance
"Many [role]s are evaluating [topic] right now"
Over-targeting based on weak signals
One page view is not intent; annoys prospects
Require multiple signals before outreach
Sharing intent data with prospects
Reveals your data sources
Keep intent data internal
Treating all intent equally
Not all signals indicate buying intent
Weight signals by proximity to purchase
Ignoring timing
Intent decays quickly; a signal from 30 days ago is stale
Act on high-intent signals within 48 hours
Measuring Intent-Based Prospecting
Comparing intent-driven vs non-intent outreach
Metric
Intent-driven outreach
Non-intent outreach
Expected lift
Open rate
Higher
Baseline
10-30% lift
Reply rate
Higher
Baseline
30-100% lift
Meeting booked rate
Higher
Baseline
50-200% lift
Pipeline generated
Higher
Baseline
2-4x
Win rate
Higher
Baseline
20-50% lift
Sales cycle length
Shorter
Baseline
20-40% shorter
Attribution
Attribution model
How it works
Pros
Cons
First touch
Credit goes to the intent signal that triggered outreach
Simple; clear
Ignores subsequent touches
Last touch
Credit goes to the final touch before conversion
Simple
Ignores intent signal that identified the prospect
Multi-touch
Credit distributed across all touches
More accurate
More complex to implement
Intent-influenced
Credit to deals where intent data was used in prospecting
Measures intent data value directly
Requires tracking which deals used intent
Building Intent-Ready Contact Lists
When intent data identifies companies showing buying signals, you need to find the right contacts at those companies. Consolidate contact data from multiple enrichment sources, CRM exports and research. Upload to Email Extractor to extract and deduplicate email addresses before loading into your sales engagement platform. This ensures each contact is reached once, with the right intent-based personalisation.
