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Data enrichment turns a name into an account.

A bare record is not a lead. An enriched one is.

Data enrichment is what happens between finding a company and being able to do anything useful with it: turning a name and a domain into a complete, actionable record.

recruiter-lexikon / data-enrichment
D
Data enrichment
Data enrichment
Defined
Definition

The automatic process of appending the fields a raw record is missing: firmographics, decision-maker names and titles, verified contact details and recent signals, so a bare company name becomes a workable account.

At a glance
Term Data enrichment
Used for Turning raw records into workable accounts
In boilr Applied automatically to every company and contact
b
boilr turns this term into a task
Defined here · operationalised by your AI employee

Data enrichment, explained for the desk.

What it is, why it matters, and how your AI employee runs it.

What it is

Data enrichment is the process of appending the fields a raw record is missing: firmographics such as industry, headcount and funding stage, the name and title of the actual decision-maker, a verified email or phone number, and recent signals such as a funding round or a new hire. A bare company name or a scraped list of domains carries almost none of this. Enrichment is what fills in the rest.

The output matters more than the mechanism. A list of 500 company names is not 500 leads, it is 500 unknowns. The same list enriched with headcount, the right contact and a live signal is 500 accounts a consultant can actually work, in order of how promising each one is.

A list of company names is not a list of leads. It is a list of unknowns waiting to be enriched.

Why it matters

Recruitment consultants lose real hours to enrichment when it is manual: looking a company up on LinkedIn, guessing who the hiring decision-maker is, finding an email address, checking whether anything has changed recently. That work has to happen before a single message goes out, and it happens for every account, whether or not the account ever converts.

Skipping it is worse than doing it slowly. An unenriched record produces generic outreach, since there is nothing specific to reference, and generic outreach gets ignored. Enrichment is not a nice-to-have step before BD, it is the difference between outreach that reads as researched and outreach that reads as a mail merge.

How boilr handles it

boilr enriches every company and contact it surfaces automatically. The moment a company matches your ICP or a buying signal fires, your AI sales employee scans more than 10,000 sources to attach firmographics, identify the actual decision-maker, verify their contact and pull in the recent signals that give a message its opening angle. You never work a bare name.

That enrichment does not evaporate after one use. It is stored in the Company Brain, so the fields gathered for one task strengthen the account record for the next one, and it stays with the agency rather than in one consultant's notes. Enrichment feeds directly into account intelligence, the fuller picture your task is built on, and into lead scoring, which needs current data to rank accounts correctly.

Questions, answered.

Everything a working consultant asks about data enrichment, and how boilr puts it to work.

What fields does data enrichment typically add?

Firmographics such as industry, headcount and funding stage, the name and title of the actual decision-maker, a verified email or phone number, and recent signals like a funding round or a leadership change. Together these turn a bare name into a record you can act on immediately.

What is the difference between data enrichment and account intelligence?

Enrichment is the process of filling in the fields a record is missing. Account intelligence is the resulting aggregated picture, the org chart, history and context, that outreach is actually built from. Enrichment is the mechanism; account intelligence is what it produces.

Why does manual enrichment fall behind so quickly?

People change jobs and titles, companies raise and expand, and a looked-up email can bounce within months. Manual enrichment is accurate on the day it is done and decays from there, and whoever did the lookup rarely has time to redo it before the next account needs the same treatment.

Does more enriched data always mean better outreach?

No. The value is in a handful of specific, current fields, the right decision-maker, a working contact, a recent signal, not an encyclopaedic profile. A record padded with stale or irrelevant detail is noise; a record with the few facts that change your opening line is worth having.

How does boilr use data enrichment in practice?

The moment a company matches your ICP or a signal fires, boilr scans 10,000+ sources to attach firmographics, identify and verify the decision-maker, and pull in recent signals, then drafts the task with all of it already attached. The enrichment is stored in the Company Brain, so it stays useful for the next task and the next consultant too.

Helen Wright
Boilr gave us the BD structure and follow-up support to sign our first client and secure a job brief in under a month.
Helen Wright
Managing Director, 923 Jobs

Never work a bare company name again.

boilr enriches every company and contact automatically: firmographics, decision-makers, verified contacts and signals, before a task ever reaches you. One AI sales employee per consultant, doing the lookup for you.