
Buying Signals: How Intent Data Decides Who You Email
Here is an uncomfortable audit you can run on your own outbound in five minutes. Take the last list of companies your firm emailed. For each one, ask a single question: what evidence did we have that this company had a reason to buy right now? If the honest answer is "none, they matched our filters", you have found the reason the campaign underperformed, and it was never the subject line.
Filters describe who could buy someday. A list built from industry, company size and job title is a list of suspects. Intent data is the evidence layer on top: the signals that separate a company that fits your profile from a company that fits your profile and is actively feeling the problem you solve. The first list gets ignored. The second one replies.
What is intent data?
Intent data is information suggesting that a company is currently researching, or moving towards, a purchase. In B2B, that rarely means someone filled a form saying "we want to buy". It means observable behaviour: a company suddenly hiring for a role, raising funding, reading heavily about a category, changing its software, or announcing an expansion. Each of these is a buying signal, and intent data is the practice of collecting those signals and acting on them.
The sales world splits it into two broad kinds. First-party intent is behaviour you observe on your own property: someone visited your pricing page twice, downloaded a guide, opened four newsletters in a row. Third-party intent is behaviour observed elsewhere: on publisher networks, review sites and the open web, then sold to you by a provider. First-party intent is the strongest signal you will ever get, and the smallest in volume. Third-party intent gives you volume, at the price of trust and cost, which we will come to.

How intent data is collected
It helps to know how the sausage is made, because it explains both the price tags and the scepticism.
The large third-party providers work roughly like this. Bombora, the best known, runs a co-operative of thousands of B2B publisher websites. When people from one company read unusually heavily about, say, "warehouse automation" across that network in a week, the company is flagged as "surging" on that topic. ZoomInfo gets its intent data in a similar way, from a network of partner sites and its own reading of web traffic, layered on top of its contact database. Others, like Demandbase or TechTarget, watch their own large audiences and sell what those audiences research.
Notice what is actually being measured: anonymous reading behaviour, resolved to a company through the network the visitor came from. Nobody raised a hand. The signal is real but statistical, which is why intent platforms speak in scores and surges rather than certainties. It is also why the same company can look "in-market" to one provider and invisible to another; they are watching different networks.
The buying signals that matter for a services firm
For a B2B services firm in India, the most useful signals are usually not the exotic ones sold by platforms. They are public events, sometimes called sales triggers, that you can read like anyone else. The difference is that almost nobody builds their outreach around them systematically.
Hiring signals. A company posting for its first marketing manager has just admitted, in public, that marketing is now a priority and there is nobody senior in the seat yet. A clinic advertising for a second receptionist is telling you its front desk is overloaded. Job posts are intent data written in plain language.
Money signals. A funding round, a large client win announced in the trade press, a new office. Fresh money creates budgets, and budgets go looking for problems to solve in the following two quarters, not eventually.
People signals. A new sales head, marketing head or CEO in the first ninety days wants visible wins and has the authority to buy them. The same firm that ignored you under the previous leadership is a fresh conversation under the new one.
Change signals. A rebrand, a new website, an expansion into a new city, a new product line. Each one is a company mid-shift, and companies mid-shift buy outside help at several times their normal rate.
Pain signals. Public complaints are underrated. A hospital with a run of reviews about unanswered phones, a firm whose careers page has shown the same unfilled role for five months. The problem is visible; your email merely has to name it.

Do you need an intent data platform?
Probably not, and it is worth being direct about why.
The well-known intent data providers are enterprise products with enterprise pricing. Contracts are typically annual, quoted in dollars, and after conversion land in the range of several lakh to well over a crore a year once seats and data credits are counted. The buyers they are built for are large sales teams working thousands of accounts, where even a weak statistical signal, spread across enough volume, pays for itself. Asking "who offers the best intent data" is the wrong first question for a twenty-person firm; the right one is whether third-party topic surges would change your shortlist at all when your total addressable market is a few thousand companies.
There is also the trust question, and it is fair. Third-party intent is anonymous reading behaviour attributed to a company. It cannot tell you who inside the company was reading, whether it was a student, a competitor or the actual buyer, and providers themselves describe the output as directional. Treat platform intent as a prompt for attention, never as proof. A surge score is a reason to look closer; a public job post is a reason to write today.
Free intent data: the signals hiding in plain sight
The phrase "free intent data" gets searched more than any platform's name, and the good news is that for a services firm, free is genuinely enough to start. The signals in the previous section are all public:
- Job portals and LinkedIn job posts show hiring signals, searchable by role and city, every day.
- LinkedIn itself shows people signals: job changes, promotions and new leadership, announced by the people themselves.
- Google Alerts and the startup trade press surface funding rounds, expansions and large deals the same week they happen.
- Your own website analytics and email opens are first-party intent you already own. A past enquiry that reopens your emails after six months of silence is the warmest signal on this page.
- Review sites and social mentions carry pain signals straight from the buyer's customers.
What the platforms actually sell is not access to signals; it is the labour of watching at scale. And that is the honest catch with free: the data costs nothing, but somebody has to check the sources weekly, log the signals against your target list, and write while the signal is still warm. A funding announcement is a reason to email this month, not a fact to admire in a spreadsheet next quarter.
How signals should decide who you email
Once you take intent seriously, the shape of your outbound changes. You stop asking "how many emails can we send?" and start asking "how many companies showed a live reason to buy this month?" The list gets shorter, the reply rate rises, and every email can open with the signal itself: the new office, the job post, the funding round. That first line does the work no template can, because it proves the email could only have been written to them.
This is exactly how we run outbound for our own clients. Our B2B lead generation plans are sized in contacts reached against a live buying signal, not in emails sent, and the sending runs on infrastructure we own so your domain never carries the risk. It is also the standard we would hold any vendor to, including an AI SDR tool: whatever is doing the sending, something with judgment must be doing the choosing, and the choosing should rest on evidence.
Frequently asked questions
Intent data has an enterprise reputation and a very simple core: write to companies that show evidence of needing you now, and say so in the first line. The platforms sell that evidence at scale; the public web gives a services firm plenty of it free. Either way, the firms that win at outbound are the ones where signals, not filters, decide who gets the email. If you would rather have that watching and choosing done for you, with the meetings arriving on your calendar, that is precisely what we build.
About the author
Anoop Kurup
Founder, Client Magnet
Anoop Kurup is the founder of Client Magnet, a marketing and AI consultancy in India that helps services businesses build predictable pipelines. He writes about lead generation, SEO, content, and practical AI for B2B and B2C service firms.
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