Signal-based prospecting: 12 buying signals that actually convert

Firmographics get you a list. Signals get you a meeting. Here are 12 buying signals that consistently produce 2x to 5x the reply rate of generic outbound in B2B SaaS, with the data sources and joins to capture each.

1. Job changes in target roles

A new VP of Sales, new Head of Marketing, or new CTO in your ICP is the highest-converting cold-outbound signal that exists. New leaders buy. Source from LinkedIn, Champify, or UserGems. Trigger a play within 30 days of the start date.

2. Recent funding rounds

Series A and B announcements predict GTM tool spend. Source from Crunchbase, PitchBook, and SEC filings. Combine with the role you sell to (CMO post-Series B is a buying buyer).

3. Hiring spikes in relevant teams

Three or more open SDR roles signals a team building outbound capacity. Three or more open data engineer roles signals a data stack being built. Source from LinkedIn job scrapes, public ATS pages, or LinkUp.

4. Tech installs and removals

A target account just installed your competitor: outreach with switching cost reframing. A target account just removed a competitor: outreach with positioning. Source from BuiltWith, Wappalyzer, or HG Insights.

5. Intent surges on bottom-funnel topics

Bombora and 6sense surface accounts researching your category. Filter aggressively: pair intent with a job change or hiring spike to cut noise. Raw intent alone produces low-quality lists.

6. Earnings call mentions

Public companies often telegraph priorities on earnings calls ("we are investing in cybersecurity," "we are consolidating our stack"). Use AlphaSense or transcripts to surface verbatim. High-fit for selling into mid-market and enterprise.

7. Speaking and event participation

Conference speakers and panelists are warmer than random contacts at the same accounts. Scrape conference sites; use the topic of their talk as the personalization hook.

8. Champion movement (alumni signals)

A buyer who used your product at their last company is now at a new company. UserGems and Champify automate this. The play converts at 3x to 8x cold rates.

9. Product launches and feature releases

Track competitor and adjacent product launches. They create switching windows and evaluation moments. Source from changelog pages, product hunt, and email newsletters.

10. Layoffs and reorgs

Reorgs reset purchasing priorities. Layoffs reset budget owners. Layoffs.fyi plus LinkedIn Sales Navigator activity filters surface these within days.

11. New office or geographic expansion

Especially valuable for vertical-specific services. A SaaS opening a London office often buys regional-specific tooling within 90 days.

12. Public RFP or vendor selection

Government and enterprise accounts publish RFPs. Tools like GovWin and Bonfire aggregate them. Be the first qualified vendor in conversation, win disproportionate share.

How to combine signals (the real trick)

Single signals work. Compound signals work dramatically better. Examples that consistently convert at 8 to 15 percent reply rates:

• Job change + intent on your category
• Funding round + hiring spike in relevant team
• Competitor install + champion movement at same account
• Earnings call mention + relevant role hiring

Where this lives operationally

Each signal is a table in Clay (or your equivalent). Tables join on company domain. A master table flags any account hitting two or more signals in the last 30 days. That master table feeds the sequencer. Refresh weekly. This is the core work of GTM engineering.

The honest limit

Signals decay. A funding round announced 12 months ago is no longer a signal. Hiring spikes resolve as roles fill. Build a sunset rule into every table (typically 30 to 90 days depending on signal type) so your master list does not drown in stale data.