FAQs
- What is intent data in marketing and sales?
- What is the difference between first-party and third-party intent data?
- Why is intent data valuable for organisations?
- How is intent data used in account-based marketing (ABM)?
- What types of behaviours are considered intent signals?
- How can intent data improve lead scoring?
- How is intent data visualised and shared across teams?
- What are the limitations or risks of relying on intent data?
- How should organisations combine intent data with other insights?
- How can companies start using intent data effectively?
What is intent data in marketing and sales?
Intent data captures signals that indicate a company or individual is actively researching a topic, solution, or category—suggesting they may be in a buying cycle.
What is the difference between first-party and third-party intent data?
First-party intent data comes from your own properties, such as website behaviour, email engagement, and product usage. Third-party intent data comes from external publishers, networks, or platforms that observe research activity across sites.
Why is intent data valuable for organisations?
It helps identify which accounts are “in market,” allowing teams to prioritise outreach, tailor messaging, and time campaigns more precisely.
How is intent data used in account-based marketing (ABM)?
Intent signals help select and prioritise target accounts, trigger campaigns when interest spikes, and guide sales to focus on accounts with current, active research.
What types of behaviours are considered intent signals?
Examples include repeated visits to key pages, downloads of deep-dive content, searches for specific solution terms, comparison-page visits, and active engagement with campaigns.
How can intent data improve lead scoring?
Lead scoring models can assign higher scores to behaviours that strongly correlate with purchase decisions, helping sales teams focus on prospects with real momentum.
How is intent data visualised and shared across teams?
Dashboards, alerts, and account-level reports make intent insights visible to marketing, sales, and success teams, enabling coordinated action.
What are the limitations or risks of relying on intent data?
Intent data is directional, not absolute. Misinterpretation, noisy signals, or over-reliance on single events without context can lead to wasted effort or irrelevant outreach.
How should organisations combine intent data with other insights?
Intent data should be used alongside firmographics, ICP definitions, past engagement, and product fit to build a fuller view of each account.
How can companies start using intent data effectively?
Begin with a clear use case, such as prioritising outbound lists or triggering ABM campaigns, integrate intent tools with CRM and automation, and refine usage based on outcomes.