Intent data: Reaching B2B buyers before they search

B2B buyers often develop preferences for potential suppliers long before they engage with sales teams. According to 6sense's 2025 B2B Buyer Experience Report, 95% of buyers ultimately selected a vendor already included on their initial shortlist. The research highlights how much of the purchasing decision takes place before a salesperson enters the conversation. 

For outbound sales teams, this creates a commercial challenge. Traditional prospecting relies heavily on company fit and contact information, while purchasing priorities can change significantly between otherwise similar accounts. Intent data helps identify companies showing signals of potential buying interest, allowing sales teams to prioritise outreach based on relevance and timing.

This article explains how intent data works, which buying signals matter and how B2B organisations can combine behavioural insights with outbound sales to identify opportunities earlier.

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What is intent data in B2B sales?

Intent data refers to information that indicates a company's potential interest in a product, service or business challenge. These signals can emerge through digital research, engagement with relevant content or changes within an organisation that suggest new commercial priorities. For example, a manufacturing company researching supply chain automation might be preparing to evaluate new software. A consultancy expanding into another Nordic market could be approaching a period where external sales support becomes commercially relevant.

Intent data generally falls into two categories:

• First-party intent data: Information collected through interactions with your own website, campaigns or sales activities. Examples include repeated visits to service pages, webinar registrations and engagement with relevant content.
• Third-party intent data: Signals collected by external providers that indicate companies are researching particular topics across participating websites or digital channels.

These data sources offer different levels of visibility. First-party data shows engagement with your organisation, while third-party data can reveal category-level research before a prospect visits your website. However, an intent signal does not confirm that a purchasing decision is imminent. Its value depends on the quality of the signal and how effectively the sales team interprets it.

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Why intent data matters for outbound sales

Traditional outbound targeting relies on industry, company size and geographical location. While these criteria help identify relevant accounts, they reveal little about purchasing timing. Consider two Swedish industrial companies with similar profiles. One operates as usual, while the other has appointed a new Commercial Director, expanded its sales team and started researching CRM optimisation. The second company shows clearer signs of potential buying interest, making it a more relevant prospect for immediate outreach.

Intent data helps sales teams identify these opportunities and prioritise accounts where commercial needs may be emerging. This is particularly valuable when scaling outbound sales across Nordic markets, where effective targeting directly influences pipeline quality and sales productivity. By combining account fit with buying signals, sales teams can make more informed decisions about which companies to approach, when to engage and how to tailor their outreach. This improves execution across four key areas:

• Account selection: Prioritise companies showing relevant commercial activity.
• Message relevance: Connect outreach to specific business developments and challenges.
• Timing: Engage prospects when their circumstances suggest an emerging need.
• Pipeline quality: Focus qualification efforts on accounts with both strategic fit and potential buying interest.

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Which intent signals are most valuable?

Not all intent data provides the same level of insight. A single website visit offers limited evidence of purchasing interest, while repeated research combined with organisational changes may indicate a more significant shift in priorities. Sales teams should evaluate signals according to their relevance to the company's offering and the business problem they suggest.

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Behavioural intent signals

Behavioural signals reveal how companies interact with relevant digital content. Examples include repeated visits to service pages, engagement with industry reports and increased research activity around specific solution categories. A B2B SaaS company researching account-based marketing software might be evaluating ways to improve its targeting capabilities. However, research behaviour alone rarely confirms purchasing authority or budget availability. Additional qualification remains necessary.

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Organisational and trigger-based signals

Commercial opportunities can also emerge from changes within a target organisation. Relevant examples include:

• Leadership appointments: A new Commercial Director may review existing sales processes or introduce new growth priorities.
• Market expansion: Entering Denmark, Sweden or Norway may increase demand for local market knowledge and commercial execution.
• Recruitment activity: Hiring additional salespeople can indicate investment in pipeline generation or new commercial capabilities.
• Technology changes: CRM migration or adoption of new systems can create opportunities for implementation and enablement services.

A job change signal is particularly useful when the incoming decision-maker has responsibility for an area directly connected to your offering. These signals are best understood as evidence of possible business needs rather than proof of active purchasing intent.

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Combining intent data with account-based marketing

Intent data becomes more commercially useful when integrated into a structured account selection process. Within Account-Based Marketing, sales and marketing teams can use intent signals to prioritise accounts and coordinate engagement across relevant stakeholders. A practical framework combines three dimensions:

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1. Strategic account fit

Determine whether the organisation matches your Ideal Customer Profile. Relevant criteria might include industry, employee count, geographical presence and the complexity of the company's commercial organisation.

2. Intent and business relevance

Evaluate whether recent behaviour or organisational developments suggest a need related to your offering. Signals should be assessed according to their relevance, frequency and recency rather than treated as equally valuable.

3. Commercial accessibility

Identify whether relevant decision-makers can be reached and whether the sales team has a credible reason to initiate a conversation. For instance, a consultancy expanding into Norway might fit your ideal customer profile and show relevant hiring activity. However, outreach will be more effective if the salesperson can connect these developments to a specific market-entry challenge. This framework helps avoid a common limitation of intent-driven prospecting: interpreting every activity signal as an immediate sales opportunity.

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Turning intent data into relevant outbound conversations

Intent data becomes commercially valuable when sales teams translate buying signals into relevant conversations. Consider a B2B SaaS company that recently appointed a new VP of Sales and announced plans to expand across the Nordics. Rather than introducing generic sales outsourcing services, an insight-led approach could explore how the company plans to generate qualified pipeline before establishing a local sales organisation. This reflects the principles of Challenger Sales, where salespeople introduce relevant perspectives that encourage buyers to reconsider their existing approach.

To turn buying signals into effective outbound conversations, sales teams should follow four principles:

• Validate the signal: Confirm that the business development is accurate and relevant before contacting the prospect.
• Connect it to a commercial challenge: Explain how the development could affect pipeline generation or sales execution.
• Offer a useful perspective: Share a relevant observation or industry insight that helps the buyer evaluate their situation.
• Coordinate follow-up: Use a consistent sales cadence while adapting communication to the prospect's engagement.

Tools such as Pitchbound can support structured outbound execution, while CRM systems help teams organise account information and track engagement.

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How to measure the impact of intent data

Intent data should contribute to measurable improvements in outbound performance. However, tracking the number of accounts showing intent signals provides limited information about commercial effectiveness. Sales leaders should compare intent-prioritised accounts with similar accounts approached through conventional targeting. Relevant metrics include:

• Positive response rate: Are accounts with relevant intent signals more likely to engage with outreach?
• Meeting-to-opportunity conversion: Do these conversations produce a higher proportion of qualified opportunities?
• Opportunity win rate: Does intent-based targeting improve the likelihood of securing new customers?
• Pipeline generated per target account: Does the approach produce greater commercial value from the same prospecting effort?

Consider a hypothetical outbound campaign targeting two groups of 200 companies. If the conventional segment generates eight qualified opportunities while the intent-prioritised segment generates 14, the opportunity creation rate increases from 4% to 7%. That represents a 75% relative improvement, although the result would need further evaluation to determine whether intent data caused the difference.

Sales leaders should also compare acquisition effort, deal quality and eventual conversion into customers. A higher response rate has limited value if the resulting opportunities lack purchasing authority or commercial relevance. Testing different signal combinations over time helps organisations determine which indicators genuinely predict valuable sales opportunities.

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The limitations of intent data

Intent data has become increasingly accessible, but its accuracy and interpretation require attention. Third-party intent providers may identify research activity at company level without revealing which individual conducted the research. Shared networks and incomplete account identification can also affect accuracy. Data coverage varies across providers, industries and geographical markets. Nordic sales teams should therefore assess how reliably a provider identifies activity within their specific target segments.

Privacy and data protection requirements also matter. Organisations using behavioural information must establish an appropriate lawful basis and comply with applicable GDPR and electronic marketing rules. Commercially, the greatest risk is overinterpreting weak signals. A company researching sales automation might be gathering information for an internal report rather than preparing to purchase software. Similarly, a leadership change does not automatically indicate dissatisfaction with existing suppliers.

Combining intent data with research and structured qualification helps teams distinguish genuine opportunities from background activity.

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Using intent data to improve outbound performance

Intent data provides B2B organisations with an additional way to prioritise outbound activity according to potential commercial relevance. Its value increases when signals are evaluated alongside strategic account fit and translated into insight-led outreach. For companies selling complex solutions, the opportunity lies in identifying developments that create meaningful business needs before prospects formally enter a supplier evaluation.

Explore how VAEKST combines outbound sales with targeted commercial execution to help B2B organisations identify qualified opportunities across the Nordics.