Data enrichment is the process of adding information to records you already hold. A lead arrives with a name and a work email; enrichment adds the company’s industry, size, location and technology, and perhaps the person’s role and seniority. An account exists in your CRM with a name; enrichment adds its domain, headcount band and recent hiring.
It is distinct from list building, which creates records from nothing. That side is covered in building a B2B lead database with web scraping. Enrichment starts from what you have and makes it more useful, and the quality of the result depends far more on matching and sourcing decisions than on any single data provider.
The four kinds of enrichment
| Type | Example fields | Typical sources |
|---|---|---|
| Firmographic | Industry, size band, revenue band, locations, ownership | Registries, company websites, licensed providers |
| Technographic | Tools and platforms a company uses | Website source and headers, public DNS records, job postings, partner directories |
| Contact | Role, seniority, department, business contact details | Company websites, professional directories, licensed providers |
| Intent and activity | Hiring, launches, funding, research behaviour | Job postings, news, review and comparison sites |
Most teams need firmographics first, because they drive routing and scoring. Contact enrichment carries the most compliance weight. Intent signals lose value fastest, as covered in scraping intent signals to power sales intelligence.
The join key decides everything
Enrichment is a matching problem before it is a data problem. Every appended value is only as good as the link between your record and the source’s record.
Company domain is the best key. It is shared by most sources and is rarely ambiguous. Enriching by company name alone produces confident mismatches between similarly named companies.
Email domain maps a person to a company, with one large exception: free email domains map to nobody. A lead with a personal address cannot be enriched at company level from the address alone.
Registry identifiers are authoritative where you have them, particularly for legal entities and subsidiaries.
Store a match confidence with every enriched field, and refuse to write low-confidence matches into fields that drive routing or pricing. A wrong industry on an account is worse than a blank one.
Where enrichment data comes from
| Source | Strengths | Weaknesses |
|---|---|---|
| First-party data | Accurate, consented, specific to you | Only covers people who told you |
| Public web | Current, broad, cheap per record | Needs collection infrastructure and parsing |
| Business registries | Authoritative for legal facts | Narrow; no commercial signals |
| Licensed providers | Fast to integrate, wide coverage | Cost, opaque sourcing, variable freshness |
The strongest setups combine all four. First-party data wins wherever it exists, registries settle legal facts, licensed providers fill breadth quickly, and public web collection supplies freshness and the specific signals no provider sells.
Vendor sourcing is your risk as well as theirs. If a provider cannot explain where its contact data comes from and on what basis, that uncertainty transfers to you when you use it.
Waterfall enrichment
Rather than trusting one source per field, run sources in a defined order and stop when a field is filled with sufficient confidence.
- Check first-party data.
- Query authoritative sources such as registries for the fields they own.
- Collect from the company’s own public presence, which is usually the freshest description of itself.
- Fall back to licensed providers for remaining gaps.
Record which source filled each field. Then define precedence per field rather than per source: a registry wins on legal name, the company website usually wins on product description, and job postings win on current hiring. When sources disagree beyond a tolerance, keep both and flag the conflict rather than silently picking one.
Where proxy infrastructure fits, and where it does not
Licensed providers and official APIs do not need proxies. You call them directly with a key. The wider case for proxy infrastructure across lead generation and enrichment is in residential proxies for B2B lead generation.
Public web sources do, for the same reasons as any collection at scale.
Company websites are many small, independent sites. They rarely block ordinary traffic, but volume from one address draws throttling, and some serve differently by region.
Registries and directories are rate-limited and sometimes regional, and many paginate results in ways that need a consistent session.
Job postings are geo-filtered, so hiring signals for a region have to be collected from that region; see job-board data and labour-market intelligence.
With the Shifter gateway, the market and session are set in the credentials against p.shifter.io:443:
customer-USERNAME-country-fr-sid-enrich-registry-03-ttl-600:PASSWORDHolding one exit with sid suits a paginated registry lookup. Omitting it rotates per request, which suits fetching many independent company homepages. The trade-off is in sticky vs rotating residential proxies.
For sites that render content with JavaScript, a web scraping API that returns structured JSON through extraction rules removes the parsing and browser work, and bills only for successful responses. Landing that output reliably is covered in moving web scraping API data into SQL.
Technographic detection, honestly
Technology indicators come from public signals: script tags and page source, response headers, public DNS records such as mail and domain-verification entries, partner directories and the tools named in job postings.
Treat each as evidence with a confidence level rather than a fact. Tags left behind after a company stopped paying for a tool are common. A mention in one job posting may be a legacy system. Two or more independent signals agreeing are far more reliable than one.
Freshness
Enriched data decays at different rates. Company names and domains are stable for years; headcount and technology change within months; roles and contact details change fastest.
Re-enrich on triggers rather than on a single schedule: when a record is touched by sales, when a signal suggests change, and on a periodic cycle matched to each field’s decay rate. Store the observation date per field so staleness is visible.
Compliance for contact enrichment
Enriching a person’s record is processing their personal data, and the obligations do not shrink because the source was public. As general guidance, and with your own counsel:
- Limit purpose and fields. Append only what the documented purpose needs. Personal phone numbers, personal social profiles and home addresses do not belong in B2B enrichment.
- Be transparent. When personal data is obtained from sources other than the person, GDPR generally requires informing them, at the latest at first contact.
- Propagate opt-outs and deletions. A suppression must reach enrichment caches and every system that received enriched data, or the next enrichment run will quietly restore what was removed.
- Know your vendors. Due diligence on a provider’s sourcing is part of your own accountability.
The wider framing is in residential proxies and GDPR compliance.
Measuring enrichment
| Metric | What it tells you |
|---|---|
| Match rate | Share of records linked to a source record with sufficient confidence |
| Fill rate per field | Where coverage is thin |
| Accuracy on a checked sample | Whether filled values are right |
| Conflict rate | How often sources disagree |
| Freshness per field | How much data is past its re-enrichment threshold |
| Cost per enriched record | The real economics, including failed and low-confidence lookups |
Accuracy is the one teams skip, and it is the one that matters. Check a random sample by hand every quarter.
FAQ
What is data enrichment?
Appending attributes from other sources to records you already hold, such as adding industry, size and technology to an account, or role and seniority to a contact.
Do I need proxies for data enrichment?
Only for public web collection. Licensed providers and official APIs are called directly.
Which enrichment should come first?
Firmographics, because they drive routing, scoring and segmentation. Contact enrichment comes later and needs the most care.
Why does our enrichment keep changing values back and forth?
Usually two sources with different values and no precedence rule. Define precedence per field and flag conflicts instead of letting the last write win.
The bottom line
Enrichment quality comes from decisions around the data, not from any single source: a reliable join key, a match confidence on every field, a waterfall that prefers first-party and authoritative sources, precedence rules per field, and freshness tracked per attribute.
Use proxy infrastructure where enrichment touches the public web, call licensed sources directly, and keep contact enrichment inside a documented purpose with opt-outs that reach every copy. The product view is on the residential proxies for lead generation page, with rates on the pricing page.