Data that drives real growth

DataLeadEscort was built on a simple belief: quality business data shouldn't be locked behind six-figure contracts. We're a specialist team based in Milan, Italy — sourcing, verifying, and delivering datasets that marketers, founders, and analysts can actually trust.

500k+
Records Delivered
70+
Countries Covered
48h
Avg. Delivery Time
99%
QA Pass Rate
3+
Data Categories

Democratising business data
across Europe and beyond

Enterprise data brokers charge €10,000+ for what should cost a fraction. We bridge that gap — a specialist team that manually sources, cleans, and verifies records so startups, agencies, and solo operators get the same intelligence as the Fortune 500.

From Italian SMEs to US corporates, every dataset we ship has been through our human-in-the-loop QA pipeline: de-duplication, format normalisation, email syntax validation, and spot-audits on every batch.

Milan-based team GDPR & Privacy Code aligned 70+ countries 48h turnaround

Precision Targeting

Filter by country, industry, city, revenue band, and more. Get only exactly the contacts you need.

Compliance Ready

Opt-out fields and lawful-basis notes baked into every delivery.

Fast Delivery

CSV / XLSX in your inbox within 24–48 h CET business days.

How we build every dataset

Four rigorous steps — from raw source to verified, deliverable file.

01

Source & Crawl

We identify authoritative sources — company registries, social graphs, and industry directories — then collect structured data at scale.

02

Clean & Deduplicate

Automated and manual passes remove duplicates, normalise formats, and validate email syntax and phone number patterns.

03

Human QA Audit

Our team spot-audits every batch — checking coverage, field completeness, and accuracy against original sources before sign-off.

04

Deliver & Support

Delivered as CSV/XLSX within 48 h with a column dictionary, compliance notes, and a revision window on every order.

Our values

Human QA

Every batch is spot-audited by a human analyst — not just automated scripts — before delivery.

Radical Transparency

Coverage ranges shared upfront. Free samples. Honest revision policies. No surprise fees.

Fair Pricing

Italy and EU-ready pricing tiers — from single-market pilots all the way to pan-European enterprise rollouts.

Ongoing Refresh

On-demand re-crawl and re-verification keeps your data fresh long after the initial delivery.

Compliance Built-In

GDPR & Italian Privacy Code (D.Lgs. 196/2003) alignment. Opt-out fields and sender hygiene hints on every file.

Built for the way modern teams actually work

  • No enterprise bureaucracy

    Order a dataset, get a sample, download and go — no sales calls, no NDAs, no 30-day procurement cycles.

  • Italy-first, globally capable

    We're headquartered in Milan and know European data compliance deeply. We also cover 70+ countries.

  • Custom on request

    Don't see exactly what you need? Our team sources custom datasets for any market, vertical, or niche.

  • Real support, real humans

    Every enquiry gets a personal reply within 24 business hours — from someone who actually knows the data.

★★★★★

"Exactly what we needed for our Italy expansion — clean data, fast delivery, and proper GDPR docs."

M
Marco R. Growth Lead, SaaS startup
★★★★★

"The German Mittelstand dataset was exactly the right size and industry split for our campaign."

S
Sophie K. Marketing Director, Agency
GDPR aligned Milan, Italy 48h delivery

Find the dataset your team needs

Browse 78 verified datasets across 70+ countries — or request a custom one.

Working with you

Bring a clear brief. Leave with a clearer decision.

Whether you are evaluating a B2B company list or B2C regional coverage, begin with your audience, required fields and intended use.

For B2B buyers

Share the company profile, industries and locations you want to research. Check the sample against your account-selection process and the fields your tools require.

Browse business datasets

For B2C buyers

Describe the consumer audience and geography you need. Review the available attributes, ask about coverage and confirm suitability before purchase.

Browse consumer datasets