Buying Signal Monitoring · Trigger-Event Intelligence
We monitor the observable events that tell you when a company has moved into an active buying window: funding, hires, expansion, transactions. We track the triggers; you reach out at the right moment.
Category Signal Monitoring
Best for B2B service firms
Engagement Custom pricing
Signal intelligence is the practice of monitoring observable business events (funding rounds, executive hires, lease filings, regulatory disclosures, acquisitions) and using them to identify companies that have just moved into an active need state. The premise is straightforward: outreach grounded in a real, timely event converts at a meaningfully higher rate than outreach that is not. The event creates context. Context creates relevance.
Our approach is to surface these buying signals before they become common knowledge, score them for urgency and fit, draft the outreach in your voice, and give you final approval before anything sends. The whole system runs without demanding operational time from you. What you receive is a set of finished, event-specific drafts ready for your review, not a data export, not a list of leads, not a platform to configure.
A company announcing a Series B or closing a growth equity round has just gained budget authority and a mandate to deploy it. We detect these events at the time of filing or announcement and surface them before the market reacts.
A new CFO, COO, or division head arriving from outside typically signals a review cycle within 60 to 90 days. We monitor appointment announcements, board changes, and C-suite departures across your target market so you reach the right person while the window is open.
Lease filings, permit applications, new office announcements, and geographic expansion press releases all indicate a company in motion. Growth-phase companies have specific operational and advisory needs that a firm positioned at the right moment can fill.
Acquisitions, regulatory disclosures, restructuring announcements, and compliance-driven changes create defined time pressure. These are moments when outside expertise becomes immediately relevant rather than a nice-to-have.
Not every signal is equally urgent. We score each event for recency, decision-maker ownership, and strategic fit against your ICP before a single draft is generated. Only the signals that clear that threshold reach your dashboard.
Bought intent data is the same list your competitors are buying. It reflects behavioral guesses aggregated across hundreds of vendor relationships, resold simultaneously, and stale by the time you act. Our signals are verifiable public events with dates and sources attached. The first call references something real.
We are not building you a list of 10,000 contacts. We are identifying the companies most likely to have an active need in the next 30 days and reaching them at the exact inflection point. Fewer conversations, better positioned.
Every draft surfaces in your dashboard. You read it, approve the ones that fit, skip the ones that do not. Nothing goes out without your sign-off. This is not a toggle or a safety setting. It is the architecture. Your relationship stays yours.
We build the monitoring infrastructure, run the signal detection, generate the drafts, and maintain the sending infrastructure. You review finished work. There is no software to configure, no sequences to maintain, no SDR to manage. Your time commitment is roughly five minutes a week.
Private equity and credit firms use signal intelligence for off-market deal sourcing and target identification. A portfolio company filing a new commercial lease, a founder reducing their ownership stake in a regulatory disclosure, a management team with a known pattern of sale-and-reinvest behavior: these are the kinds of observable events that surface companies worth a conversation well before they are formally in process.
Consulting and advisory practices apply it to business development. A newly appointed CFO is statistically likely to evaluate outside advisory relationships within their first quarter. A company closing a growth round has budget and pressure to deploy it. Reaching those decision-makers with a specific, relevant message at the right moment is a different conversation than a cold pitch with no context.
Insurance and financial services growth teams use trigger-event intelligence to identify accounts at the point of structural change: expansion into new geographies, acquisitions that alter risk profiles, regulatory shifts that require coverage review. The signal creates the opening; the outreach arrives when the account is already thinking about the problem.
Third-party intent data platforms (Bombora, 6sense, ZoomInfo Intent, and their equivalents) work by tracking anonymous web behavior across a publisher network and aggregating it into probabilistic scores. The same scores are sold simultaneously to hundreds of competing vendors. By the time a sales team acts, the account has already been touched by multiple inbound motions. The underlying signal is a prediction derived from behavior patterns, not a verified event with a date and a source.
PulsePoint monitors observable public events: 8-K filings, 13D and 13F disclosures, PDMR transaction reports, funding announcements, executive appointment filings, and lease or permit records. These are facts, not probabilities. Each signal has a date, a filing or publication source, and a named decision-maker. For PE firms, financial-services buyers, and regulated businesses where the cost of a misdirected message is real, this distinction determines whether the first contact earns a reply or damages a relationship.
Buying signals, as we define them, are observable public events: a regulatory filing, a leadership change announcement, a funding close, a lease signing. They are facts with dates and sources. Intent data is behavioral inference: a platform aggregates anonymous browsing activity across a publisher network and scores accounts by likelihood to buy. Intent data is probabilistic, resold to many buyers at once, and unverifiable. A buying signal is attributable and specific.
Signal decay varies by type. A funding announcement is hot for days; the window for a relevant first contact typically closes within a week as the inbound wave peaks. An executive appointment stays actionable longer, often 30 to 60 days, because the new hire is still forming their vendor relationships. A lease signing or geographic expansion can hold relevance for weeks. We score each signal for recency as part of the evaluation step and will not generate a draft for an event that has passed its useful window.
Nothing sends without explicit client approval. Every draft surfaces in your review queue. You read it, approve it, hold it, or reject it. This is not a safety toggle layered on top of an automated system. The architecture requires human sign-off at every send. Your primary domain is never used for cold sends, and your deliverability record stays entirely in your control.
No intent-data subscription is required. We monitor public event sources: SEC filings (8-K, 13D, 13F), Companies House and regulatory disclosures for UK and EU targets, PDMR transaction reports, funding databases, leadership appointment announcements, and commercial real estate records. The specific signal categories monitored are calibrated to your target market and ICP during onboarding.
A buying signal is a specific, dated, publicly verifiable event that indicates a company is likely entering a purchase or vendor-evaluation window. Common examples are funding rounds, executive hires, acquisitions, leases, and regulatory filings. A buying signal differs from intent data because it is a fact that happened on a date you can cite, not a probabilistic score.
Intent data infers interest from anonymized browsing and resells the same scored list to many vendors at once, so its precision is low and it is often stale on arrival. Signal intelligence is built on verifiable public events with dates and sources attached, so each outreach can reference something real and defensible rather than a behavioral guess.
It depends on the event type, and the strongest signals decay fastest. A capital event is most actionable in the first two to three weeks while the money is being allocated. A new executive is most open to new relationships in their first 60 to 90 days. Reaching a company after that window means competing with vendors who are already in the door.
No. PulsePoint detects the signal, scores it, and drafts outreach in the client's voice, but every recommendation is reviewed and approved by the client before anything sends. It is a human-in-the-loop, done-for-you service, not an automated sending platform.