Most prospects are not ready to buy right now. Intent data identifies the ones who are actively researching, helping sales and marketing focus on accounts showing buying signals rather than treating all prospects equally.

Types of Intent Data

First-party intent comes from your own properties: website visits, content downloads, webinar attendance. Third-party intent comes from external sources tracking behavior across publisher networks. Search intent captures queries indicating research activity. Composite intent combines multiple signals for stronger indicators.

How Intent Data Works

Data providers track content consumption and research behavior across networks of publishers and websites. When companies or individuals show elevated interest in relevant topics, they are flagged as showing intent. This data is matched to accounts and provided to marketers for targeting and prioritization.

Using Intent Data

Sales prioritization focuses outreach on accounts showing active research. Advertising targeting reaches accounts as they research. Content personalization adapts messaging to research topics. Account-based marketing uses intent to time campaigns. The common thread is reaching prospects when they are actively interested rather than randomly.

Intent Data Limitations

Intent data indicates research, not purchase readiness. High intent accounts may be in early exploration. Some intent signals are noisy or inaccurate. Third-party data quality varies by provider. Intent is one signal among many, not a guarantee. Combine intent with other qualification criteria for best results.