Data Cleansing & Enrichment Outsourcing to the Philippines
A data team that finds the duplicates, fixes the errors and fills the gaps in your CRM and databases, so sales, marketing and reporting work from records you can trust.
John Maczynski, CEO · Ralf Ellspermann, CSODesigned for programs scaling from 5 – 500+ FTEs
What does a data cleansing and enrichment team actually do?
It fixes and completes the records you already have. The team removes duplicates and merges records, validates emails, phones and addresses, standardises names, titles, industries and formats, researches missing fields such as job title, company size or LinkedIn URL, flags records that are out of date, and keeps the database clean with a regular cadence. It works in your CRM or a copy of the data. Creating new records from source documents is data entry; extracting data from the web at scale is data mining.
on your shortlist
your shortlist
delivery hubs
Data decays every month as people change jobs and companies move. A one-time clean-up helps; a standing team keeps it that way.
Who cleans data offshore, and what bad data costs them today.
Reps calling wrong numbers and duplicate accounts.
Bounced emails and broken segments.
Reports that do not match.
Large databases that decay monthly.
How a clean-up runs
The team profiles the data first, agrees rules with you, then works in batches with a QA sample on each. Changes go back to your CRM through import or direct edit, with a log of what changed.
What to measure
Measure the database, not the hours.
Privacy and controls
Contact data is personal data. Agree lawful sources for enrichment, keep work in your systems or a secure copy, and respect GDPR, CCPA and the Philippine Data Privacy Act.
Indicative 2026 rates, priced by role, fully loaded per hour.
Per-record pricing is common for enrichment; ask for both. Rates confirmed per engagement.
Scope my data clean-up →Generic BPO vs. a vetted data quality team.
Where a cheap list vendor and a vetted data team differ.
Four jobs on a data quality team.
Most companies start with a CRM clean-up, then keep a team on monthly hygiene.
Find duplicate contacts, accounts and leads and merge them under your survivorship rules.
Check emails, phone numbers and addresses and flag or fix invalid ones.
Normalise titles, industries, countries and formats so reports and routing work.
Fill missing fields by researching company sites, LinkedIn and public sources.
See data services →Two friction points that make a data clean-up come undone in months.
Both are easy to prevent.
Where outsourced data cleansing doesn’t fit.
Where data cleansing sits in AI, Data & Automation
This page fixes existing data. The neighbours create or extract it.
Deduplication, validation, standardisation and research.
Work from records you can trust.
Tell us your CRM, record count and main problems. John will bring a shortlist of vetted Philippine data providers.
Book a Discovery Call Today!Our 24-Hour Response Guarantee — a reply within 24 hours.
What data leaders ask before they outsource clean-up.
Straight answers to the questions that decide a data cleansing engagement, from the principals who run them.
Can you clean our Salesforce or HubSpot data?+
How is enrichment done?+
Is it GDPR-compliant?+
One-time or ongoing?+
What does data cleansing & enrichment outsourcing cost?+
Two Decades Building and Advising Award-Winning Philippine BPO Operations
Ralf grades Philippine providers on operating data, compliance evidence and leadership depth before any benchmark reaches this page.
View full bio →
Former Global EVP of the World’s Largest Contact Center · Four Decades of Outsourcing Experience
John reviews the pricing and contract architecture behind each program, keeping this page grounded in live vendor terms.
View full bio →Re-audited as rates, regulation and vendor capacity change. Every benchmark on this page is held to PITON-Global’s internal vetting standard.