Intent Data

CRM & Retention

Also: Buyer Intent Data · Intent Signals

What it tracksBuying signals before contact
Common sourcesSearch, review sites, content downloads
Watch forVendor overpromise on accuracy
Pairs withLead scoring, ICP

Quick definition

Intent data is information that shows a person or company is actively researching a purchase, gathered from behaviour like search queries, content downloads, review site visits and competitor comparisons. It's used to spot buyers before they fill out a form, so sales and marketing can reach them earlier in the decision.

How it varies across Australia

Intent data adoption in the Australian B2B market lags the United States, mainly because third-party intent providers have thinner coverage of Australian domains and search behaviour. Businesses that rely on first-party intent signals from their own website tend to see more reliable results than those buying aggregated third-party intent feeds.

See acquisition performance benchmarks across Australian industries

What it actually means

Imagine a real estate agent who could tell which browsers on a property site were seriously house-hunting versus which were just curious neighbours. That's the promise of intent data. It looks at behaviour, not demographics, to guess who's close to a purchase decision.

There are two flavours. First-party intent data comes from your own properties: who's visiting your pricing page repeatedly, who's downloading gated content, who's spending time on your comparison pages. Third-party intent data comes from vendors who track behaviour across thousands of websites and review platforms, then sell you a signal that says 'this company is researching your category right now.'

The first-party version is almost always more trustworthy because you know exactly what happened. Third-party intent is modelled and aggregated, which means accuracy varies a lot between providers. It's a genuinely useful input for prioritising outbound sales and lead scoring, but it's a probability, not a confirmation.

Intent data works best paired with a clear ideal customer profile (ICP). Without that filter, you end up chasing every company that looked mildly interested, which is not meaningfully different from chasing nobody.

Intent data doesn't tell you someone will buy. It tells you where to look first.

How it shows up

Intent data shows up as a score or tag attached to an account in your CRM, usually labelled something like 'high intent' or given a numeric surge score. It also shows up in sales workflows as a prioritised list, where reps are told to call accounts showing intent signals before working the rest of the pipeline.

It appears in marketing automation too, triggering targeted ad campaigns or personalised email sequences aimed at accounts that intent data flags as actively researching. When it's working well, sales and marketing agree on what counts as a real signal. When it's not, intent data becomes another dashboard nobody trusts.

The Australian context

Third-party intent providers built their models on US web traffic and cookie ecosystems, and Australia's smaller market means thinner signal density here. Fewer Australian companies show up in the panels these vendors track, so scores can be noisier or simply unavailable for smaller local accounts. Businesses selling into Australian mid-market and small business segments often get more value from first-party signals, like tracking who's revisiting the pricing page or engaging with sales enablement content, than from a third-party intent subscription built for a bigger market.

Where people get this wrong

Treating a high intent score as a buying signal on its own.Intent scores reflect research activity, not budget, authority or timing. A high score with no fit against your ICP is noise dressed up as a lead.
Buying a third-party intent tool without first-party tracking in place.Your own website behaviour is the most reliable intent signal you have. Layering an expensive external tool on top of an untracked site is solving the wrong problem first.
Letting intent data replace lead scoring instead of feeding into it.Intent data is one input among several. Treated as a standalone system, it either floods sales with low-fit accounts or gets ignored entirely within a quarter.

Related terms

Common questions

Is intent data the same as lead scoring?

No. Intent data is a signal that shows research activity is happening. Lead scoring is the system that combines that signal with fit criteria like company size and role to decide how to prioritise a lead. Intent data feeds lead scoring, it doesn't replace it.

How accurate is third-party intent data?

It varies significantly by provider and market. Coverage is stronger in the United States than in Australia, and most vendors model probability rather than confirm actual buying activity. Treat it as a directional prioritisation tool, not a guarantee.

Do small businesses need intent data?

Usually not as a paid third-party tool. Most small and mid-market businesses get more reliable value from tracking first-party signals on their own website and content, which costs nothing extra and reflects real behaviour rather than modelled estimates.

How does intent data fit with an ideal customer profile?

Intent data should be filtered through your ICP before it reaches sales. A company showing strong intent signals but poor fit against your ICP is a distraction. The combination of fit and intent is what actually predicts a workable opportunity.

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About New Rebellion

New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.

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