Data Enrichment

Point Ploid at any list and get clean, enriched profiles back. No scrapers, no code, no CSV wrangling. Just tell it what you need.

Your data is only as good as its fill rate

Every company has lists. Leads from a trade show. Users from a free trial. Contacts exported from an old CRM. Newsletter subscribers. Conference attendees. The problem is never the list itself — it is the fact that each row contains a name, maybe an email, and not much else. No job title. No company. No phone number. No LinkedIn URL. No location. You cannot segment what you cannot see, and you cannot personalize outreach to a row that says “John Smith” and nothing more.

Ploid takes any list — CSV, spreadsheet, or data export — and fills in the gaps. For every person on your list, Ploid searches across its index of over a billion people, matches them using advanced identity resolution, and returns the enriched profile. Emails, phones, job titles, company details, social profiles, skills, location, bio, and more. The sparse row that used to be useless becomes a complete, actionable contact. No scrapers to build. No code to write. No rate limits to manage. Just hand Ploid your data and get it back complete.

Identity resolution that actually works

The hardest part of enrichment is not finding data — it is matching it correctly. Is the “Sarah Chen” on your list the Sarah Chen who is a product manager at Stripe, or the Sarah Chen who is a dentist in Ohio? Bad matches are worse than no matches, because they create false confidence and wasted outreach. Every sales rep who has called the wrong person because their enrichment tool made a sloppy match knows exactly how expensive this problem is.

Ploid's entity resolution engine uses multiple signals — name, email domain, company, location, professional history, social profile connections — to achieve match accuracy that single-signal tools cannot approach. When Ploid says it found your person, it found your person. And when the match is ambiguous, Ploid tells you that too, with confidence scores that let you decide how to handle edge cases rather than silently serving you bad data.

Enrichment at scale without breaking a sweat

This becomes especially powerful when you need to enrich at scale. Ten thousand conference leads. A hundred thousand trial signups. A million records from a legacy system migration. Ploid processes them without breaking a sweat, returning confidence scores alongside every match so you know exactly how certain each enrichment is. High-confidence matches go straight into your workflows. Lower-confidence matches get flagged for human review. No guessing. No garbage in, garbage out.

The throughput matters as much as the accuracy. When your sales team comes back from a conference with three thousand badge scans and needs them enriched by Monday morning, you cannot afford a tool that processes fifty records per hour. Ploid handles bulk enrichment at the speed your business actually operates — whether that is a thousand records or a million.

Clean data without the data engineering

Traditional enrichment workflows require stitching together three or four different data vendors, writing normalization scripts, handling rate limits, deduplicating results, and praying that the output schema matches your CRM. You end up with a fragile pipeline that breaks every time a vendor changes their schema, and a data quality problem that requires a dedicated engineer to babysit. Ploid replaces the entire stack. One input, one output, one format. Emails are verified. Phone numbers are normalized. Job titles are standardized. Duplicates are merged. You get clean, structured, ready-to-use data without building or maintaining any infrastructure.

For teams that run enrichment on a recurring basis — topping up CRM records monthly, enriching new signups in real time, keeping customer data fresh — Ploid makes it trivial to automate. Set it up once and your data stays complete and current without any ongoing manual effort. No more quarterly “data cleanup” projects. No more apologizing to the sales team because half the records in the CRM are stale. The data just works, all the time.

The foundation every team needs

Complete, accurate people data is not a nice-to-have for a single team — it is the foundation that every function in your company depends on. Sales needs it to prospect. Marketing needs it to target. Product needs it to understand users. Customer success needs it to anticipate churn. When your data is sparse and stale, every downstream team suffers. When your data is enriched by Ploid — complete, verified, and continuously fresh — every team operates at a fundamentally higher level. That is the real ROI of enrichment: not just better data, but better outcomes across the entire organization.