Outbound Wiki

Third-party intent data

Using external research activity and topic-level behavior data to find accounts that may be evaluating a problem or solution.

Third-party intent data gives outbound a timing input. Use it to form a hypothesis about the problem an account may be researching, then test that hypothesis in conversation. Its broad coverage brings noise because activity is aggregated and anonymized at the account level, not the person level.1 Research activity can identify an account worth investigating, but it rarely explains the full buying process by itself.2

Set the frame

Define the account set and the problems you can discuss. The feed belongs in your workflow when its topics map to a problem that matters to accounts you already want to reach.

Third-party data can come from review sites, publisher networks and search behavior.3 Use your ICP to decide who belongs in the account set, then use intent data to decide when an account deserves attention.4 Firmographic data describes industry, size, revenue and technology stack, while intent data describes current behavior.5

Fit and intent can diverge. An account can match your target characteristics and have zero intent, while an unfamiliar company can already be deep in a buying process.6

Before opening the feed, write down the problem topics you can support and the account characteristics that matter. Then ask:

  • Does this topic map to a problem we can discuss credibly?
  • Does the account fit the customer profile?
  • What would make this worth acting on now?

If you cannot connect the topic to a plausible account problem, move on. A high research score on a poor-fit account does not give you a useful outbound reason.

Interpret the signal

Read each account signal as a research clue. Work out what the account may be learning before deciding what to say.

Intent providers capture, aggregate and score digital traces to surface accounts showing elevated research activity.7 Those traces can include content consumption, search queries, review site visits, webinar attendance and product comparisons.8

Look at the topic, the source of the activity and how closely the topic matches the problem you sell against. Ask:

  • Which problem does this topic suggest?
  • Is the activity close to a solution decision or still broad exploration?
  • What would I need to learn before making the outreach more specific?

When the feed gives you a topic without corroboration, keep the message exploratory. Do not pretend to know the person involved, the internal project or the decision stage. The account-level signal can help you choose where to investigate; the conversation has to establish what is happening.

Corroborate and prioritize

Compare a third-party signal with other signals before putting an account into an active queue. This keeps broad coverage from becoming a list of false urgencies.

Intent types differ in quality, specificity and appropriate use.9 The most effective intent strategies layer multiple signal types instead of relying on a single source.10 A review-site signal can sharpen your reading because the associated behavior is explicitly purchase-oriented.11

Before acting, look for a second reason to believe the topic matters. That reason might come from activity on your own properties or a relevant account change. A more specific research action can also help. Do not turn the check into a scoring exercise you cannot explain. You need a clear reason for the account's place in the queue.

Intent data can inform account selection and outbound prioritization.12 Use it to rank attention inside your target account set, then reserve the most specific outreach for accounts whose topic and context give you something concrete to discuss.

Build the message

Treat the research topic as a working hypothesis. The message should show that you understand the problem area while leaving room for the account to correct your assumption.

Outbound teams are more likely to break through when they reach out at the right moment with a relevant message.13 Intent data supplies timing and context that can separate relevant outreach from generic cold email.14

Start with the problem suggested by the topic and ask for the account's view:

  • Is this problem on your current plan?
  • How are you handling it today?
  • What would need to change for this to become a project?

Listen for ownership, urgency and a concrete consequence. If the reply confirms that the topic is active, continue into the business impact. If the reply shows that the topic was incidental, leave the account out of the active sequence until another reason appears.

Route the response

Decide what happens after an account lights up before making the feed part of daily work. A signal with no owner or next action creates activity without learning.

Intent data has no value without an execution framework and clear processes for responding when an account shows intent.15 Set an owner, a next action and a reason for the outreach. Keep the topic that triggered the action beside the account record so the next rep can understand the message without guessing.

Review the response against the original hypothesis. A useful reply should tell you whether the problem exists, whether it matters now and whether the account will give you more context. When it gives you none of that, stop expanding the sequence and return the account to the wider queue.

What not to do

Intent feeds can tempt reps to overstate what they know. Keep these boundaries in the workflow.

  • Do not treat a topic surge as confirmed buying intent.16
  • Do not expect a provider to tell you exactly which companies are ready to buy or exactly when to call.17
  • Do not purchase data before deciding how your team will use it.18
  • Do not treat a content-syndication download as proof that someone is in an active buying process.19

Sources

  1. 1
    “This data is the broadest in coverage but the noisiest, because it is aggregated and anonymized at the account level, not the person level.”
  2. 2
    “It can identify accounts actively researching a subject, but it rarely explains the full buying process by itself.”
  3. 3
    “This is where third-party intent data comes in, signals from review sites, publisher networks, and search behavior:”
  4. 4
    “Your ICP tells you who to target. Intent data tells you when to target them.”
  5. 5
    “This is fundamentally different from demographic or firmographic data, which tells you about a company's characteristics (industry, size, revenue, technology stack) but nothing about their current behaviour.”
  6. 6
    “A company can be a perfect firmographic fit and have zero intent to buy. Conversely, a company you have never heard of might be deep in a buying process right now.”
  7. 7
    “Intent data providers capture, aggregate, and score these traces to tell you which companies are showing elevated research activity.”
  8. 8
    “It captures digital footprints — content consumption, search queries, review site visits, webinar attendance, product comparisons — and aggregates them to surface accounts that are showing higher-than-normal interest in subjects relevant to what you sell.”
  9. 9
    “The three types — first-party, second-party, and third-party — differ dramatically in quality, specificity, and how you should use them.”
  10. 10
    “The most effective intent data strategies layer multiple signal types together rather than relying on any single source.”
  11. 11
    “Second-party intent data from review sites like G2 and TrustRadius provides high-fidelity buying signals because the research behaviour is explicitly purchase-oriented.”
  12. 12
    “It informs our ABM account selection, our outbound prioritization, our demand generation timing, and our lead scoring models.”
  13. 13
    “The teams that break through are the ones that reach out at the right moment with a relevant message.”
  14. 14
    “Intent data provides the timing and context that separates a well-timed, relevant outreach from yet another generic cold email that gets ignored.”
  15. 15
    “Intent data without an execution framework is worthless. The value comes from having clear processes for what happens when an account lights up.”
  16. 16
    “Third-party intent data from providers like Bombora offers scale but requires careful interpretation — topic surges indicate increased research, not confirmed buying intent.”
  17. 17
    “Vendors promise that their intent signals will tell you exactly which companies are ready to buy and exactly when to call them. That promise is overstated.”
  18. 18
    “But we have also seen companies waste six figures on intent data subscriptions that produce nothing — because they bought the data before they had a strategy for using it.”
  19. 19
    “The limitation is that syndication leads are often lower-intent than they appear — someone downloading a whitepaper does not necessarily mean they are in a buying process.”