People Data Labs
People Data Labs is a B2B workforce data provider that supplies person, company, and job posting datasets via APIs and bulk data licenses. Agencies access PDL through REST APIs for real-time enrichment, or through Snowflake and Databricks integrations for batch processing. The platform also connects to Zapier and Make, enabling no-code automation of data lookups within existing CRM and workflow tools. Data is refreshed regularly and certified ISO 27001 and SOC 2 Type 2 compliant. PDL serves sales and marketing agencies, HR tech platforms, and investment research teams that need to enrich prospect or candidate records at scale.
People Data Labs is a B2B workforce data provider, priced at $98/month on the Pro plan, integrating with Snowflake, Databricks, Zapier, and Make. InnovaAI scores it 4.4/10 for agency adoption, best for Account Executive, Operations Manager, and Project Manager roles handling 5+ client meetings per week.
Agency Audit
People Data Labs supplies B2B workforce data APIs and bulk datasets that agencies integrate into CRM enrichment, lead prospecting, and talent sourcing workflows. Sales and marketing teams benefit most, using PDL to append contact and employment records to prospect lists without manual research. The platform connects directly to Snowflake, Databricks, Zapier, and Make, so data flows into existing agency stacks with minimal friction. Best ROI emerges when your team runs 5+ concurrent prospecting or sourcing campaigns monthly.
5recommended
80/mo
$5,902/mo
Low
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Account Executive handling prospect research and enrichment
- Operations Manager handling lead qualification and CRM data append
- Project Manager handling bulk audience segmentation for campaigns
- Your agency focuses on creative or design services and does not run lead generation, sales prospecting, or talent sourcing workflows. PDL's value is concentrated in data-driven sales and HR tech use cases.
- Your team works with a single, closed prospect list and does not need ongoing enrichment or bulk dataset licensing. PDL's ROI emerges when you enrich 350+ records monthly or refresh data quarterly.
- Your CRM or sales stack does not support API integrations, Zapier, Make, Snowflake, or Databricks. PDL requires at least one of these connection points to deliver value without manual workarounds.
Internal Adoption Path
$98/mo
$98/mo flat plan
80 hr/mo
5 seats × 16 hr each
$6,000/mo
modeled at $75/hr labor rate
$5,902/mo
value − subscription cost
In this model, 5 seats reclaim 80 hours of team time each month. Valued at $75/hr that is $6,000/mo, and after the $98/mo subscription it leaves $5,902/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of People Data Labs
Person and company record enrichment via API
Appends contact, employment, and company data to existing prospect records in real time. Account Executives use this to populate missing email, phone, and job title fields during lead qualification without leaving their CRM.
Bulk dataset licensing for Snowflake and Databricks
Exports person, company, and job posting datasets directly into data warehouses for batch enrichment and audience segmentation. Data teams and Operations use this to build prospect segments or candidate pools at scale without API rate limits.
Zapier and Make workflow automation
Triggers PDL lookups automatically when new leads enter your CRM or when a prospect record is updated. Project Managers and Operations reduce manual data-entry steps by embedding PDL into existing lead-capture and nurture workflows.
Person and company profile search with autocomplete
Searches PDL's database by name, email, company, or job title and returns matching profiles with contact and employment history. Account Executives use this during prospect research to verify job titles, tenure, and company affiliation before outreach.
Job posting dataset access
Provides bulk job posting data for talent sourcing, competitive hiring intelligence, and recruitment workflow automation. Talent acquisition teams and Operations use this to identify hiring companies or build candidate pipelines based on job posting activity.
ISO 27001 and SOC 2 Type 2 compliance certification
Ensures data handling meets enterprise security and privacy standards. Founders and Operations teams use this to satisfy client data-governance requirements when enriched prospect data is shared across client accounts.
What Makes People Data Labs Different
Unique advantages vs similar tools in this niche
Comprehensive person and company datasets with fresh resume data
vs Other data providers with stale or incomplete recordsPDL collects, standardizes, and refreshes data to ensure quality.
Flexible delivery methods including APIs, data feeds, and cloud integrations
vs Providers that only offer one delivery methodAccess via APIs, license feeds, or directly in Snowflake and Databricks.
Compliance with ISO 27001 and SOC 2 Type 2
vs Providers without formal security certificationsPDL champions leading security and compliance standards.
Latest Updates
Recent releases and improvements for People Data Labs
Datasets
BetaBeta](https://www.peopledatalabs.com/job-posting-data)
Value Equation
Outcome-likelihood-time-effort assessment for People Data Labs
Limited agency channel
People Data Labs scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact People Data LabsPricing
People Data Labs platform cost to your agency
Pro: $98/mo
Free
- Up to 100 monthly records
- ISO & SOC 2 Type 2 compliant data
- Access to APIs
- Documentation & Tutorials
Pro
- Starting at 350 monthly records
- Contact data
- Access to premium fields
- Email support
Enterprise
- Custom volume
- Formal data testing
- API or Data License feeds
- Flexible payment terms
No verified white-label program for People Data Labs: client-facing delivery runs under the platform's native branding.
Market Intelligence
Offer + scale economics for People Data Labs
Limited agency channel
People Data Labs scored below the agency-resellability threshold (agency_fit_score < 50). It's a useful tool but not designed for white-labeled or retainer-based reselling, so we don't publish productized offer economics for it.
Contact People Data LabsInvestment Decision Framework
Strategic vetting analysis for People Data Labs
Situational Fit
Fit depends on your client mix
Buy If
4Your Account Executives spend 3+ hours per week manually researching prospect employment history, company size, and contact details before outreach. PDL's person and company enrichment APIs compress that research into API calls or Zapier lookups.
Your Project Managers or Operations team manages a talent sourcing or recruitment workflow and currently relies on LinkedIn Sales Navigator or manual scraping. PDL's job posting and person datasets feed directly into Snowflake or Databricks for bulk candidate matching.
Your sales and marketing stack runs on Zapier or Make, and you need to append contact data to leads in real time during CRM workflows. PDL integrates natively into both platforms, eliminating the need for manual data entry or external lookup tools.
Your team processes 350+ prospect records monthly and currently pays per-lookup fees to other data providers. PDL's Pro plan at $98/month covers 350 monthly records, reducing per-record cost versus ad-hoc lookups.
Skip If
4Your agency focuses on creative or design services and does not run lead generation, sales prospecting, or talent sourcing workflows. PDL's value is concentrated in data-driven sales and HR tech use cases.
Your team works with a single, closed prospect list and does not need ongoing enrichment or bulk dataset licensing. PDL's ROI emerges when you enrich 350+ records monthly or refresh data quarterly.
Your CRM or sales stack does not support API integrations, Zapier, Make, Snowflake, or Databricks. PDL requires at least one of these connection points to deliver value without manual workarounds.
Your compliance or data governance policy prohibits third-party B2B data licensing or restricts the use of enriched contact records. PDL's data license terms must align with your internal data-use policies before adoption.
Bottom Line
People Data Labs supplies B2B workforce data APIs and bulk datasets that agencies integrate into CRM enrichment, lead prospecting, and talent sourcing workflows. Sales and marketing teams benefit most, using PDL to append contact and employment records to prospect lists without manual research. The platform connects directly to Snowflake, Databricks, Zapier, and Make, so data flows into existing agency stacks with minimal friction. Best ROI emerges when your team runs 5+ concurrent prospecting or sourcing campaigns monthly.
Reality Check
PDL requires your team to adopt a data-driven lookup habit rather than manual research, and the free tier caps usage at 100 monthly records, making it unsuitable for high-volume agencies without a paid plan. Setup involves API documentation review or workflow mapping in Zapier/Make, adding 2-4 hours of initial configuration per team.
Moderate effort: standard configuration with some customization needed
Academy for People Data Labs
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Waterfall Redundancy PremiumConcept
Waterfall Redundancy Premium is the principle that paying two or three enrichment vendors to resolve the same field is cheaper than paying one vendor to be wrong. A single source returns a match rate and a silent error rate; the error rate is what burns a retainer, because a bounced sequence or a misrouted dialer wastes the client's sending reputation and your team's hours. Stacking providers in sequence, where the second fills only what the first missed, converts overlapping coverage into a measurable accuracy floor. Cleanlist aggregates 15+ providers to reach 98% email accuracy and 85% direct dial rates, which is the arithmetic of overlap rather than one vendor's superiority. Dropcontact runs the same logic inside Pipedrive and HubSpot with GDPR-compliant verification, and Clay chains 200+ providers through waterfall enrichment. For agencies, the premium is a line item you can defend to a client; the alternative is an unexplained deliverability incident.
- Decay-Adjusted Contact ValueConcept
Contact data is a depreciating asset, not a one-time purchase. Every enriched record carries an implicit half-life: job titles turn over, direct dials get reassigned, and technographic flags go stale as clients migrate stacks. Agencies that price enrichment as a fixed line item absorb the decay cost themselves; agencies that treat it as a recurring maintenance cycle can defend margin. The practical move is to model a refresh cadence per data field before quoting a retainer. A verified mobile number may hold for six to nine months, while a job title can shift inside a quarter. Cleanlist reports 98% email accuracy and 85% direct dial rates at the point of enrichment, but those figures describe a snapshot, not a permanent state. Pairing a multi-provider waterfall (Clay, Cognism, Wiza) with a scheduled re-verification pass keeps the decay curve flat instead of letting it compound against campaign performance.
- Enrichment Vendor Concentration RiskConcept
Enrichment Vendor Concentration Risk is the exposure an agency carries when most of a client's appended contact fields trace back to one data source. Because providers build coverage from overlapping crawl, contributor, and licensing pipelines, their gaps and staleness patterns correlate: when one vendor's mobile coverage thins in a region or job-title updates lag a hiring wave, every record sourced from it degrades at once. The framework asks agencies to map each enriched field to its origin and cap any single provider's share of a client's contactable records. Consider a retainer where 90% of verified direct dials come from one database; a single coverage shift can silently cut reachable contacts across an entire outbound program. Rotating across providers such as Cognism, Wiza, and Dropcontact, and re-verifying on a fixed cadence, converts a hidden single point of failure into a managed, measurable risk line.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Contact Data Enrichment Rule: Waterfall Before You Scale OutboundEvaluation Rule
Route each record through at least two independent data sources and verify before it enters a sequence, rather than trusting one vendor's database as the source of truth.
- When One Vendor Supplies Every Field, Add a Second Source Before RenewalEvaluation Rule
Run at least two independent providers behind every enrichment workflow and reconcile conflicts before the data reaches a client sequence.
- Contact Data Enrichment Decision: Waterfall Multi-Source Enrichment vs Single-Vendor Database ContractDecision Framework
IF your agency runs outbound for more than a handful of client accounts and your bounce rate or dial-connect rate is the metric clients question in retainer reviews, THEN build a waterfall enrichment layer that queries several providers per record and keeps the winning field. IF your delivery model is one or two narrow verticals where a single vendor's coverage is already strong and your team has no capacity to maintain routing logic, THEN a single-vendor contract with a verification pass is the cheaper, lower-maintenance path.
- The Single-Source Enrichment Trap: Why Contact Data Enrichment Stalls Agency OutboundFailure Pattern
- The Waterfall Illusion: Why Contact Data Enrichment Fails to Lift Agency Reply RatesFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- CRM Enrichment and Data Hygiene Retainer (10-14 days)Implementation Blueprint
A productized sprint that appends missing phone, title, and firmographic fields to a client's CRM, then installs a monthly re-verification loop so outbound lists stop decaying. Agencies sell it as a fixed-scope onboarding offer that converts into a recurring data maintenance retainer.
- Enrichment Vendor Rotation and Field-Level Provenance (QA)Operating Procedure
- Enrichment Intake and Field Mapping (Onboarding)Operating Procedure
- Enrichment Cost and Coverage Reconciliation (Retention)Operating Procedure
13 modules selected for People Data Labs
Frequently Asked Questions
Answers about pricing, setup, implementation
People Data Labs offers 3 pricing tiers, at $98/mo (Pro).
Pro plan costs $98 USD per month and includes 350 monthly records, contact data access, premium fields, and email support. Enterprise plans require custom quotes and offer flexible volume, formal data testing, API or data license feeds, and a designated success team. A free tier is available with up to 100 monthly records, ISO and SOC 2 Type 2 compliance, API access, and documentation.
Account Executives save time on prospect research by enriching CRM records with employment and contact data via API or Zapier. Project Managers and Operations teams use bulk datasets in Snowflake or Databricks to build candidate or prospect segments at scale. Founders and Operations benefit from compliance certifications when enriched data is shared across client accounts or used in talent sourcing workflows.
An Account Executive running 2-3 prospecting campaigns monthly saves approximately 4-6 hours per week by replacing manual research with API-driven enrichment. A data team using bulk datasets in Snowflake or Databricks saves 8-12 hours per month on audience segmentation and candidate matching. Savings scale with team size and campaign volume; agencies processing 350+ records monthly see the highest ROI.
PDL connects natively to Zapier and Make, allowing you to trigger lookups from most CRM platforms without custom development. It also integrates directly with Snowflake and Databricks for bulk data workflows. If your stack uses a CRM not supported by Zapier or Make, you will need API integration work or a custom connector.
Initial setup takes 2-4 hours and involves API documentation review, Zapier or Make workflow mapping, or Snowflake/Databricks connection testing. Once configured, team members can begin enriching records immediately. No ongoing maintenance is required unless you change your CRM or data warehouse platform.
PDL does not retain enriched data after cancellation. Any records you have already enriched remain in your CRM or data warehouse. If you stop paying, you lose access to new lookups and bulk dataset exports, but historical enrichment stays in place.
PDL's terms of service restrict use to internal business operations. Reselling enriched data or using PDL to power a client-facing service requires an Enterprise agreement and explicit licensing approval. Contact PDL sales to discuss client-delivery use cases.