Signal Types

What is Trigger Events?

Trigger events are specific, time-bound business changes that create a window of opportunity for sales outreach. Unlike static data, trigger events are moments — a new CEO appointment, an acquisition announcement, a product launch, or a regulatory change. Each event disrupts the status quo at a company, creating urgency, new budgets, or shifting priorities that make prospects more receptive to solutions they would have ignored a month earlier.

Reaching prospects within 2 weeks of a trigger event increases win probability by 74%

Source: Craig Elias, Trigger Event Selling (SBI Research)

Why Trigger Events Matters

Craig Elias, who coined the term "trigger event selling," found that reaching a prospect within 2 weeks of a trigger event increases the probability of winning the deal by 74% compared to outreach with no trigger. The reason is psychological: trigger events create a "window of dissatisfaction" where the status quo is no longer acceptable, but a new solution has not yet been chosen.

In practical terms, trigger events convert cold outreach into warm outreach. A cold email to a VP of Sales has roughly a 1-3% response rate. That same email, referencing the company's just-announced Series C funding and their new VP of Sales hiring, might see 15-25% response rates because it demonstrates relevance and timeliness.

The most valuable trigger events share three characteristics: they are recent (within 30 days), relevant (connected to your solution's value proposition), and public (detectable through monitoring). Sales teams that systematically monitor trigger events report 20-30% shorter sales cycles because they enter deals earlier and with more context.

How Trigger Events Works

Trigger event monitoring operates through a detect-match-act workflow.

**Detection** involves monitoring multiple data sources for events: SEC filings for financial triggers (earnings, M&A, executive changes), job boards for hiring triggers, press release wires for product launches and partnerships, social media for leadership commentary, and patent databases for R&D directions. Modern platforms use NLP to extract structured events from unstructured text — for example, parsing an earnings transcript to detect that a company mentioned "doubling our cybersecurity budget."

**Matching** connects detected events to target accounts and assigns relevance scores. Not every trigger event is equally valuable. A funding round at a company in your ICP that just hired for your buyer persona is a high-value compound trigger. An executive change at a company outside your market is noise. Scoring algorithms weigh event type, account fit, recency, and signal density.

**Action** is where most teams fall short. Detecting a trigger event is only valuable if a rep acts on it within the freshness window — typically 1-14 days depending on the event type. Leadership changes have longer windows (30 days), while competitive displacement signals (a company removes a competitor's product) have windows measured in hours.

The most effective trigger event programs automate the full workflow: detect the event, enrich it with account context, draft personalized outreach referencing the event, and deliver it to the rep with a suggested action and talking points.

How Autobound Uses Trigger Events

Autobound monitors 26 categories of trigger events in real time — from funding rounds and leadership changes to earnings transcripts, patent filings, and technology installs. When a trigger event is detected at a target account, the Signal Engine scores it for relevance and the AI generates ready-to-send outreach that specifically references the event. For example, when a target account announces a new CTO, Autobound drafts an email congratulating the contact, referencing the leadership transition, and connecting it to how similar companies in that phase evaluate solutions like yours.

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