Turn Buying Signals Into Revenue

A buying signal is any observable behaviour, event, or data point that indicates a prospect is in an active or near-active buying window. Signals range from first-party behavioural data (visiting your pricing page, downloading a comparison guide) to third-party intent data (researching competitors, reviewing your category on G2), firmographic triggers (funding round, headcount growth), and event-based triggers (leadership change, new product launch). The Signal Selling Tool covers 8 signal categories with coaching on how to interpret and act on each one.

The most effective approach is to reference the signal without making the prospect feel surveilled. Use the signal as context for why you're reaching out now, not as proof that you've been tracking them. For example, if a prospect visited your pricing page, the signal tells you they're in evaluation mode — your outreach should reflect that by leading with differentiation and proof, not an introductory pitch. Each signal in the tool includes specific coaching on messaging approach, timing, and channel.

First-party signals come from your own channels — website visits, content downloads, email engagement, product usage. You own this data and it's the highest-confidence signal type because the prospect has directly interacted with you. Third-party signals come from external platforms — review site activity, competitor research, intent data providers, social engagement. Third-party signals indicate broader buying intent but require more interpretation because the prospect hasn't engaged with you directly yet.

Start with 3-5 high-confidence signals that are realistic for your current tech stack to capture. Tracking too many signals without the infrastructure to act on them creates noise rather than pipeline. Prioritise signals that align with your ICP's typical buying journey — for most B2B SaaS companies, that means pricing page visits, competitor research activity, and relevant firmographic triggers like funding or headcount growth. Add more signal types as your team builds the muscle to respond consistently.

No. Many of the most actionable signals are available without dedicated intent data software. First-party signals come from your existing CRM, marketing automation, and website analytics. Firmographic and event-based signals (funding rounds, job postings, leadership changes) are available through LinkedIn, Crunchbase, and company news monitoring. Intent data platforms like Bombora, 6sense, or G2 Buyer Intent add third-party signal coverage but are a layer of sophistication, not a prerequisite.

Signal stacking means combining multiple signals from the same account to build a higher-confidence picture of buying intent. A single signal — a pricing page visit, for example — could be a researcher, a competitor, or a genuine prospect. Two or three signals from the same account in a short window (pricing page visit + job posting for a role your product supports + LinkedIn engagement with your content) creates a much stronger case for prioritising that account. The Signal Selling Tool includes coaching on which signals combine well and how to interpret stacked signals.