You bought a list of 5,000 contacts. Your SDR worked it for six weeks. The result was 41 replies, 3 meetings, and zero closed deals. The list was not fake. The emails delivered. The problem was intent. Nobody on that list was looking for what you sell, so every message landed as an interruption instead of an answer. This article covers what intent data actually is, which signals are worth tracking, and how to use them without turning your outreach into something creepy.
Intent data is not a magic trick. It is the practice of observing public behavior that suggests a company has a problem you can solve, then reaching out while that problem is active. The difference between a 1 percent reply rate and a 6 percent reply rate usually comes down to whether you contacted someone because they were on a list, or because they were showing a signal.
What Is Intent Data?
Intent data is any observable signal that a company is actively researching or moving toward a purchase decision. It falls into two broad categories.
First-party intent data is behavior on your own properties. Someone downloads a pricing PDF, visits your case study page three times in a week, or opens every email in a nurture sequence. You own this data directly, and it is the most accurate because you see the actual person, not a company-level guess.
Third-party intent data is behavior on other people’s properties. A company researching “Salesforce integration partner” on Google, downloading a competitor’s whitepaper, or posting a job ad for a role that uses your product. Providers aggregate this from publisher networks, review sites, and co-op data sharing, then resell it as “these companies are researching X.”
The important distinction is between declared intent and inferred intent. Declared intent is someone telling you what they want: a form fill, a demo request, a reply to your email. Inferred intent is you guessing from behavior. Declared intent converts far better because there is no interpretation step.
3% vs 0.4%
Reply rate on outreach triggered by an observed buying signal, against the same message sent to a company with no signal at all.
Which Intent Signals Are Actually Worth Tracking
Not every signal is worth your time. A company viewing one blog post is noise. Here are the signals that predict a real conversation, ordered by strength.
Job postings that imply your product
A company posting for a “HubSpot Administrator” has either bought HubSpot or is about to. A company posting for a “Head of Content” is about to invest in content production. Job boards are public, free, and update daily. This is the most underused intent signal in B2B because it requires a human to read the posting and connect it to your offer.
Check the posting for two things: the tools named, and the seniority. A posting for a junior coordinator suggests a small budget. A posting for a director or VP suggests real spend and a decision maker who is already convinced the problem matters.
Technology changes on their website
Tools like BuiltWith, Wappalyzer, or a simple view-source check tell you what stack a site runs. A company that just added a chat widget, a new analytics tag, or a marketing automation platform is in an active buying cycle for that category. The timing window is roughly 30 to 90 days after the change.
The signal is strongest when you sell something adjacent to what they just installed. If they just added an ESP, they will soon need email templates, deliverability help, or list cleaning. That is a natural, non-intrusive opening.
Public content activity that shows a gap
This is the signal most useful to agencies. A company whose blog has not been updated in four months, whose posts are all under 500 words, or whose site has no schema markup has a visible content or SEO gap. You found it by looking, which means your outreach can reference it specifically.
The check takes two minutes: open their blog, sort by date, look at the last five posts. If the cadence is broken or the depth is thin, you have your opener. No paid data required.
Funding, hiring, and expansion events
A Series A announcement means new budget and new pressure to grow. Opening a new office means new local marketing needs. A leadership hire in marketing means new priorities and possibly a vendor review. These events are public, timestamped, and create a natural reason to reach out within two weeks.
Follow the funding, not the noise. A $2 million seed round and a $40 million Series B produce very different budgets. Size your ask to the round.
Review site and community activity
Companies researching a category leave traces on G2, Capterra, TrustRadius, Reddit, and industry Slack communities. Someone asking “has anyone migrated from X to Y” is mid-evaluation. Someone posting a complaint about a current vendor is looking for an alternative. Both are high-intent and both are publicly visible.
The move here is to be useful first. Answer the question in the thread, then reach out privately. Leading with a pitch in a public thread gets you removed and damages your brand.
Your own website and product behavior
The strongest intent data you will ever have is free. A visitor who reads your pricing page twice in one session, downloads two resources, and returns three days later is telling you exactly where they are in the process. Wire this into your CRM so your SDR gets an alert within minutes, not a weekly report.
Score it. Assign points to page visits, downloads, and email engagement, then set a threshold that triggers a human touch. A visitor at 40 points gets a call. A visitor at 10 points stays in the nurture sequence.
How to Use Intent Data Without Being Creepy
There is a fine line between “I noticed you are hiring a content team” and “I see you visited our pricing page on Tuesday at 4pm from an office in Austin.” The first sounds attentive. The second sounds like surveillance, and it kills deals.
The rule is simple: reference the company-level signal, never the individual-level behavior. “Saw you are hiring three SDRs, so I assume pipeline is a priority this quarter” is fine. “I noticed you opened our email four times” is not. The buyer knows the difference even if they cannot articulate why.
Second rule: the signal has to connect to your offer. If someone is hiring a content team and you sell CRM software, the signal is not relevant and using it makes you look like you scraped a list. Relevance is what separates personalization from intrusion.
Intent data does not replace a good offer and a clear message. It only tells you when to knock. If nobody answers the door when they are home, the problem is the pitch.
Building an Intent Data Workflow
You do not need an enterprise platform to start. A spreadsheet and a weekly habit will outperform most teams who buy a tool and never use it.
Step 1: Define the signals for your offer
Pick three to five signals that genuinely predict a need for what you sell. For a web design agency: a site that looks dated, no mobile optimization, a slow load time. For an SEO agency: no blog activity, no schema, ranking page three for their own brand terms. Write them down as checkable criteria.
Step 2: Build a weekly monitoring routine
Spend 60 to 90 minutes a week scanning for signals. Job boards, funding announcements, review sites, and your own analytics. Log every hit in a spreadsheet with the company, the signal, the date, and the contact. This list is worth more than any purchased database because every row has a reason attached.
Step 3: Reach out within the window
Signals decay fast. A job posting is actionable for about two weeks. A funding announcement for about 30 days. A technology change for 60 to 90 days. Reach out while the signal is fresh, because a message about a four-month-old event reads as a mass email.
Step 4: Track what converts
Log reply rate, meeting rate, and close rate by signal type. After 100 outreach attempts you will know which signals predict revenue for your business and which are noise. Cut the noise and double down on what works. Most teams never do this, which is why they keep buying lists that do not perform.
First-Party vs Third-Party vs Purchased Leads
The three sources of intent data are not equally good, and the differences matter more than most vendors admit.
First-party data is the most accurate and the cheapest. It only covers people who already found you, so volume is limited. Use it to prioritize, not to prospect.
Third-party data from providers like Bombora or G2 covers a wide net of companies researching a category. It is useful for account selection but it is company-level, so you still need to find the right person. Expect to pay $800 to $3,000 per month for meaningful coverage.
Purchased verified leads sit between the two. You get records where someone has already identified a need and a human has verified the contact details, so you skip the research step. The tradeoff is that you are relying on someone else’s definition of “intent,” which may not match yours. Exclusive, internet-verified leads typically close at 6 to 12 percent, against 1 to 3 percent for a cold list, because the underlying signal is real.
The honest comparison: first-party data converts best but arrives too late. Third-party data arrives early but needs work. Purchased leads arrive in the middle and cost money per record. Most growing agencies run all three, weighted toward whichever produces the lowest cost per closed client.
Common Mistakes With Intent Data
Treating every signal as equal. A blog visit and a demo request are not the same thing. Weight your signals and act on the strong ones immediately.
Buying data and never using it. The tool is not the strategy. If nobody is assigned to review the data weekly, you are paying for a dashboard nobody reads.
Referencing individual behavior. It creeps buyers out and it can violate privacy expectations in some jurisdictions. Stick to company-level, publicly observable signals.
Waiting for perfect data. A weekly spreadsheet with 20 researched companies will outperform a $2,000 per month platform that nobody logs into. Start manual, then automate what works.
Ignoring decay. A three-week-old job posting is history, not intent. Set a rule: signals older than 30 days get deprioritized or dropped.
Skipping the offer. Intent data tells you when to knock. It does not improve what happens after the door opens. If your reply rate is bad even on high-intent accounts, fix the message.
FAQ
What is intent data in B2B marketing?
Intent data is observable behavior that suggests a company is researching or moving toward a purchase. It includes first-party signals like website visits and downloads, and third-party signals like job postings, technology changes, funding events, and review site activity.
Is intent data worth the cost?
It depends on your deal size. If your average client is worth $3,000 or more, a $1,000 per month intent platform that produces one extra closed client per quarter pays for itself. Below that, manual signal monitoring is more cost effective.
What is the difference between first-party and third-party intent data?
First-party intent data is behavior on your own properties and is the most accurate. Third-party intent data is aggregated behavior across publisher networks and review sites, covering more companies but at a company level rather than an individual level.
How do you collect intent data without a budget?
Monitor job boards, funding announcements, review sites, and your own website analytics manually. Spend 60 to 90 minutes a week and log findings in a spreadsheet. This covers the highest-value signals without any software cost.
What is a good intent score?
Build a simple model: 10 points for a pricing page visit, 5 for a resource download, 3 for a repeat visit within seven days, 2 for an email open. Anything above 25 points in a week triggers a human touch. Adjust the threshold based on what actually converts for you.
Does intent data work for small agencies?
Yes, and it works better for small agencies than for large ones. A five-person agency can personally review 20 signals a week and send tailored outreach, which is exactly what intent data is designed to enable. Enterprise teams often buy the data and never action it.
Where Verified Leads Fit
Intent monitoring tells you which companies to contact. It does not tell you who the decision maker is, whether their email still works, or whether the phone number rings a desk. That verification step is where most outreach campaigns leak, because a 12 percent bounce rate burns your sending domain and a wrong direct dial wastes your SDR’s morning.
That is the gap that exclusive verified B2B leads are designed to close. You get companies that have already shown a need, with contact details a human has checked, so your SDR spends time selling instead of researching. The close rate on verified leads runs 6 to 12 percent against 1 to 3 percent on an unverified list, and the cost per closed client is usually lower even though the cost per record is higher.
If you are running intent-driven outreach already, adding verified leads is an incremental change, not a new strategy. You keep the same signals, the same message, and the same follow-up cadence. You just stop losing 30 percent of your list to bad data. See how verified lead packages work or read more on lead generation strategy.
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