How to Use Intent Data for Prospecting
Cold outreach to accounts that are not in a buying cycle is an uphill battle. Intent data changes the equation by surfacing companies that are actively researching your category right now — companies that have shown purchase signals through content consumption, search behavior, or technology changes. This guide explains how to source, evaluate, and act on intent data to make your prospecting dramatically more efficient.
Before you start
- A defined ICP with firmographic criteria to filter intent signals against
- A CRM or prospecting tool where you can route and prioritize intent-identified accounts
- Access to at least one intent data source (G2, Bombora, 6sense, LinkedIn Sales Navigator, or similar)
Step-by-step guide
Understand the Types of Intent Data Available
Intent data falls into three main categories: first-party data (behavior on your own site — page visits, pricing page views, demo requests), second-party data (behavioral data from partners or review sites like G2 and Capterra that shows who is researching your category), and third-party data (aggregated web browsing signals from providers like Bombora or G2 Buyer Intent that show which companies are consuming content about relevant topics across the internet). Each type has different costs, accuracy levels, and use cases.
Start with your own first-party intent data — it is free and highly accurate. Install heat mapping (Hotjar) and identity resolution (Clearbit Reveal or RB2B) to see which companies are visiting your site and which pages they are viewing.
Set Up Intent Signal Monitoring for Your Category Topics
Configure your intent data provider to track topics that indicate a prospect is in a buying cycle for your category. For an AI video outreach platform like Outvid, relevant topics might include 'video personalization software,' 'AI SDR tools,' 'personalized video at scale,' 'cold email software,' and 'video prospecting.' The goal is to capture companies researching the problem you solve, not just your exact product name.
Filter Intent Signals Against Your ICP
Raw intent data includes noise from companies that will never buy from you — wrong industry, wrong size, wrong geography, or already a customer. Before routing any intent signal to your outreach queue, filter it against your ICP criteria. An account that is showing intent signals but does not match your ICP profile is not a better prospect — it is still a bad-fit prospect who happens to be researching your category.
Build a scoring system that multiplies ICP fit score by intent signal strength. A perfect ICP fit with weak intent is worth less than a strong ICP fit with high intent — but both beat a poor ICP fit regardless of intent level.
Route High-Intent Accounts to Personalized Outreach Immediately
Speed matters with intent data — an account that is actively researching your category today may make a shortlist decision within one to two weeks. Route high-intent, high-ICP-fit accounts directly to your outreach queue and ensure a first touch goes out within 24 hours of the signal appearing. A personalized Outvid video that references the specific problem they appear to be researching is far more effective than a generic cold email when the prospect is already in consideration mode.
Reference the Intent Signal in Your Outreach Without Being Creepy
Prospects should feel that your outreach is timely and relevant, not that they are being stalked. Reference the general category or pain point that your intent data suggests they are researching — not the specific page they visited or that you know they googled something specific. For example: 'Many [role] at companies like yours are evaluating how to make cold outreach more efficient right now — wanted to reach out in case it is a timely conversation.' This is relevant without being unsettling.
An Outvid personalized video that speaks directly to the pain they are researching feels genuinely timely rather than intrusive when framed around their problem rather than their browsing behavior.
Build Intent-Triggered Sequences for Different Signal Types
Create separate outreach sequences for different intent signal types. A first-party intent signal (a prospect visited your pricing page) warrants a more direct sequence with explicit product references and a quick demo ask. A third-party intent signal (a company is consuming content about your category) warrants a more educational sequence that builds awareness of your specific solution before making a direct ask. Matching sequence tone to signal type increases conversion rates meaningfully.
Measure Intent Data ROI and Adjust Your Signal Filters Quarterly
Track the conversion rates — reply, meeting, and close rates — for intent-triggered outreach versus baseline cold outreach. Intent data should produce meaningfully higher reply and conversion rates than purely cold prospecting; if it does not, your signal filters or topic topics are not well calibrated to your actual buying cycle. Review and refine your intent topics and ICP filters every quarter as you accumulate conversion data.
Common mistakes to avoid
Routing all intent signals to your outreach queue without ICP filtering
Fix: Intent data without ICP filtering creates a noisy queue of companies that will never buy. Apply your ICP filters before any account reaches your outreach queue. A high-intent, bad-fit account is not a better prospect — it is still a bad-fit account that will waste rep time.
Referencing intent signals in outreach in a way that feels surveillance-like
Fix: Mention the problem category or the outcome the prospect likely cares about, not the specific intent signal data you have. 'I noticed companies in your space are often evaluating X right now' is contextually relevant. 'I see you visited our pricing page three times this week' is unsettling and damages trust.
Waiting days or weeks to act on high-intent signals
Fix: Intent signals decay rapidly. A company in active evaluation mode may make a shortlist decision within one to two weeks of their first research activity. Set up automated routing that gets a first touch out within 24 hours of a high-intent, high-fit signal appearing. Slow response to intent data wastes one of your best prospecting advantages.
What are the key takeaways from this guide?
- Intent data is most valuable when filtered against ICP criteria — without filtering, you are just prospecting to everyone who ever searched for anything related to your market, which is little better than random outreach.
- Acting on intent signals within 24-48 hours with personalized, problem-specific outreach dramatically outperforms acting on the same data days or weeks later.
- Personalized Outvid video outreach triggered by intent signals — speaking directly to the problem the prospect appears to be researching — combines the timing advantage of intent data with the conversion advantage of video to produce the highest-quality prospecting conversations.
Frequently asked questions
What is the best intent data provider for B2B SaaS prospecting?
The right provider depends on your market. G2 Buyer Intent is powerful if your buyers research software on G2 (common for SMB and mid-market SaaS). Bombora covers a wide range of B2B content consumption signals. 6sense combines intent data with predictive scoring. For early-stage companies, starting with G2 Buyer Intent and your own first-party site data is cost-effective before investing in more expensive third-party data.
How accurate is third-party intent data?
Third-party intent data is probabilistic, not deterministic — it identifies companies that are likely in a buying process, not companies that have definitively started one. Accuracy varies significantly by provider, topic relevance, and industry. Most teams find that intent data improves prospecting efficiency by 20-40% when properly filtered and acted on quickly, even accounting for signal noise.
Can I use intent data without an expensive tool subscription?
Yes. Your own first-party intent data is free: use Google Analytics to see which companies are on your site (via ISP lookup), install a tool like RB2B or Clearbit Reveal to identify company names from IP addresses, and use LinkedIn Sales Navigator's account alerts to see when target accounts are actively hiring for roles related to your solution. These approaches cost far less than third-party intent platforms and are often accurate enough to meaningfully improve prospecting prioritization.
How does Outvid work with intent-based prospecting?
When an intent signal surfaces a high-fit account, Outvid lets you generate a personalized video for the relevant contact at that company within minutes — addressing them by name, referencing their likely pain point, and delivering it as part of an automated outreach sequence. This combines the timing advantage of intent data with the response-rate advantage of personalized video, which typically triples reply rates compared to text-only cold outreach.
What should I do if an account shows intent signals but I cannot find the right contact?
Use LinkedIn, Apollo, or ZoomInfo to identify the two or three most likely buyers at the account based on their role and seniority level. Reach out to all of them simultaneously with a brief, personalized note that references the problem you solve — whichever contact is closest to the pain will respond. Multi-threading an intent-identified account is far more effective than waiting to find the perfect contact before reaching out.
Related resources
Turn Intent Signals into Personalized Video Outreach
When a prospect is actively researching your category, be the first to reach them with a personalized Outvid video that speaks directly to their pain. Set up your first intent-triggered campaign today.