What is People Data?

People data is collected from a mosaic of sources and then normalized into structured records. Vendors scrape publicly available information — LinkedIn profiles, company websites, conference speaker bios, press releases, and SEC filings — and supplement it with contributed data from CRMs, email permissioning networks, and data partnerships. Public social profiles are aggregated and matched against corporate directories; résumé databases add career histories; phone carriers and email verification services confirm liveness of contact records.

The output is a person profile: a unified record that links a named individual to a current employer, job title, contact details, and often a career timeline. Providers like People Data Labs structure these at API scale for developer-first use cases, while platforms like ZoomInfo and Apollo surface them through searchable UIs, CSV exports, and CRM connectors.

Enrichment is how people data enters your workflow. A rep uploads a list of target accounts; the enrichment layer appends emails, titles, and phone numbers for every relevant contact at those accounts. Alternatively, real-time enrichment fires when a new lead hits your CRM, instantly filling blank fields so reps never start a conversation cold. Waterfall enrichment — querying multiple providers in sequence — pushes email find rates from 50–60% (single provider) to 85–95% across a list.

Sales teams draw on four overlapping categories. Static identity data — name, title, email, phone — is the baseline for any outreach. Firmographic overlays (company size, industry, revenue) help reps prioritize which contacts matter most within an account. Technographic and intent data show what tools a prospect uses and what topics they are actively researching, enabling relevance-first messaging.

The fourth and increasingly important category is behavioral or event-driven data: job change alerts when a champion leaves, promotion signals when an economic buyer moves up, or hiring signals that indicate a company is scaling into your product's use case. These time-sensitive signals transform people data from a static Rolodex into a live feed of buying-readiness cues.

Most mature GTM teams combine all four layers. Firmographics filter accounts; identity data enables contact; technographic and intent data sharpen timing; and event signals trigger the outreach itself. The compound effect is measurable — reps using signal-enriched people data see 3.2x higher reply rates compared to outreach driven by static lists alone (Cleanlist customer data, Feb 2026).

Stale or inaccurate people data is a direct drag on pipeline. B2B contact data decays at roughly 22.5% per year — a consequence of professionals changing jobs, companies restructuring, and email domains expiring. Cleanlist's 2026 State of B2B Data Quality report found that observed decay in high-churn sectors like SaaS can reach 67–70% annually. DealSignal estimates that 70% of CRM records are outdated or incomplete at any given time, a figure consistent with Validity's 2025 State of CRM Data Management report, in which 76% of respondents said less than half of their CRM data is accurate and complete.

The cost compounds quickly. Sales reps lose an estimated 500 hours per year validating bad data (DealSignal). Reaching wrong numbers or bounced emails wastes sequences, harms domain reputation, and costs companies an average of 15% of revenue (IndustrySelect). Workers spend an average of 13 hours per week hunting for basic information in the CRM (Validity, 2025), and companies lose an average of 16 sales deals per quarter as a direct result of bad CRM data.

The fix is a continuous enrichment loop: scheduled re-enrichment cadences (typically quarterly), waterfall enrichment that queries multiple providers in sequence, and real-time triggers that fire enrichment the moment a record is created. Multi-source waterfall approaches achieve 85–95% email find rates versus 50–60% from any single provider alone.

Firmographic data describes organizations — industry, headcount, annual revenue, HQ location, funding stage, tech stack. It answers the account-level question: does this company fit my ICP? People data describes the humans inside those organizations and answers the next question: exactly who do I contact, and how do I reach them?

In practice, a B2B GTM motion needs both. Firmographics narrow the account universe to ICP-fit targets; people data maps the buying committee within each of those accounts — the economic buyer, the champion, the technical evaluator — and provides the contact details to reach each one. According to Forrester's The State of Business Buying 2024 report, the average B2B purchase now involves 13 stakeholders, so having account fit without contact-level reach leaves most of the committee invisible.

The two data types also decay at different rates. Firmographic attributes like industry classification or HQ city change slowly. People data — particularly emails and phone numbers — changes at 22.5% per year as individuals move between roles and companies. This asymmetry drives most CRM enrichment strategy: account data can be refreshed quarterly, while contact data needs near-continuous monitoring.

The regulatory landscape for people data has tightened substantially. GDPR (EU/UK) requires a lawful basis before processing any personal data for outreach; the most common basis for B2B cold email is legitimate interest under Article 6(1)(f), but it demands a documented Legitimate Interest Assessment, relevance to the contact's professional role, and a clear opt-out mechanism. GDPR cumulative fines have exceeded €7.1 billion since enforcement began in May 2018, per DLA Piper's January 2026 survey — with over 60% of that total imposed since January 2023, signaling accelerating enforcement.

In the US, California's CCPA B2B exemption expired on January 1, 2023, when the California legislature adjourned without extending it. Work emails, direct dials, and job titles for California residents are now fully protected personal information. Current CCPA penalties stand at $2,663 per violation and $7,988 per intentional violation (California Privacy Protection Agency, 2025). As of 2026, 20 US states have active comprehensive privacy laws, though California remains the only one explicitly covering B2B contact data under the same framework as consumer data.

Practically, this means vendor evaluation should include: Is data sourced with consent or legitimate interest? Does the provider maintain DNC suppression lists? Is a Data Processing Agreement available? Teams building outbound programs must document their legal basis before using any third-party contact list at scale, and should re-evaluate that basis when targeting California, EU, or UK residents specifically.

Komo's signal-monitoring layer ingests people data continuously — tracking job changes at target accounts, executive hires, and career moves by known contacts — so your team is notified the moment a buying signal fires rather than discovering it weeks later. That real-time awareness is what turns people data from a static export into an active prospecting trigger.

When a signal fires, Komo pulls the relevant contact record, cross-references it with your CRM for history, and drafts a contextual first touch tied directly to the event — the new VP of Sales at a target account, the champion who just moved to a new company. Research that would take a rep 20–30 minutes is surfaced in seconds.

Critically, Komo keeps a human on every send that matters. The draft goes to a rep for review, edit, and approval before it goes out — so the speed and coverage of automated people-data monitoring is paired with the judgment and relationship sense that only a human brings. The result is outbound that is both timely and genuinely personal, not just personalized at scale.