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targeting

Intent Data

Intent data is behavioural signal — searches, content consumption, form interactions — that indicates a user is actively researching a product or service.

Intent data is information about which companies or individuals are actively researching a topic, product or category, sourced from third-party publisher networks, search behaviour, content consumption signals and bid-stream data. It identifies who is "in-market" right now rather than who matches a static firmographic profile.

How intent data is collected

Three main vendors supply UK B2B intent: Bombora (publisher consortium, surge data), G2 (review-site engagement) and 6sense / Demandbase (account-level signal aggregation). Signals are aggregated and de-anonymised to company level using IP and corporate identity matching; individual-level intent (other than a user's own first-party signals) is not GDPR-compliant in the UK.

Why intent data matters in UK financial services

Intent data is most useful for two paid-media use cases:

  1. ABM - prioritising named accounts whose committee members are surging on relevant topics this month.
  2. LinkedIn Matched Audiences - layering intent surge signals onto firmographic targeting to reduce wasted reach.

For mass-market UK advice (mortgage, protection, equity release), intent data is overkill - first-party search and social engagement signals are cheaper and more actionable.

Limitations and pitfalls

Surge-based intent is a leading indicator with a noisy signal-to-noise ratio. Intent data is most useful when used to qualify accounts already in the consideration set, not to source new accounts cold. Treat intent vendors' attribution claims sceptically - they cannot see what your sales team did separately.

Related terms

  • ABM
  • Matched Audiences
  • Topic Cluster
  • Surge Score