RevOps Jobs-to-Be-Done
- Enrichment pipeline development — Build internal data pipelines that enrich person and company records in real time as leads enter the system. KPI: Reduce manual enrichment work and keep CRM data fresh automatically
- Identity resolution — Match anonymous identifiers — email, phone, LinkedIn URL — to enriched person profiles for personalization and retargeting. KPI: Recognize more of your audience and improve targeting accuracy across channels
- AI model data sourcing — Provide structured B2B contact and company data as input for GTM AI applications including lead scoring and ICP matching. KPI: Power AI-driven prioritization with reliable, structured data at scale
Key Features
- Person Enrichment API: 3B+ person profiles with 80+ attributes including career history, education, skills, and contact data.
- Company Enrichment API: 100M+ company records with firmographic, technographic, and funding data.
- Identity Resolution: Match across email, phone, LinkedIn URL, and device IDs to a unified person profile.
- Bulk Enrichment: High-throughput batch enrichment API for processing large datasets efficiently.
- Compliance-Ready Data: GDPR and CCPA compliant data sourcing with privacy-by-design architecture.
How It Fits Your Stack
Primary system of record: Data warehouse or CRM
Key integrations: Salesforce, Snowflake, dbt, Python, Node.js
Data flows: PDL API enriches records at capture or on schedule → pushes enriched data to CRM, warehouse, or application layer.
Implementation & Ownership
- Time to first value: 1–2 weeks
- Implementation complexity: High — requires engineering resources for API integration
- Typical owners: Data Engineering, RevOps, Growth Engineering
Pricing & Contracts
- Pricing model: API credits / usage-based
- Indicative range: Free tier (100 calls/month); paid plans scale by volume — enterprise pricing available
- Free tier: Yes
Who It's Best For
Data and engineering teams building enrichment pipelines or GTM applications that need a reliable, API-first data layer.
Good fit if:
- SaaS companies building enrichment into their product
- Data teams powering AI scoring models
- RevOps teams building custom CRM enrichment pipelines
Probably not ideal if:
- Sales reps doing manual prospecting
- Teams without engineering resources for API integration
Proof & Buyer Signals
Ratings: 4.4/5 on G2 — 3B+ person profiles
What buyers praise:
- Best developer experience of any B2B data API
- Massive data coverage with strong identity resolution
- Compliance-ready — trusted by enterprise data teams
Common complaints:
- Not suitable for non-technical users
- Cost scales quickly at high API volumes
Pros
- Best-in-class API for developer-driven enrichment workflows
- Massive data coverage with strong identity resolution
- Compliance-ready data sourcing for regulated industries
Cons
- Requires engineering resources to implement effectively
- Not designed for sales reps doing manual prospecting
- Cost scales quickly at high API call volumes
