Lead enrichment 101: from a name to a workable lead

You spot someone who engaged with a post in your category. Great. You have a name and a headshot. What you do not have is any way to decide whether this person matters to you, or what to say to them. Are they a buyer or a student? At a company you can serve or one you can't? In a country you sell to? Without those answers the name is just a name. Enrichment is the step that turns it into something you can work with.

This post covers what enrichment actually is, which fields are worth caring about, the awkward truth about data accuracy, and how good enrichment feeds the scoring that lets you prioritize.

What enrichment is

Enrichment is the process of taking a thin identifier (a name, a profile, an email) and attaching the attributes you need to qualify and contact the person. You start with "Jordan Lee" and end with "Jordan Lee, VP of Sales at a 200-person logistics software company in Berlin." The second version you can do something with. The first you cannot.

It is unglamorous plumbing, and it is the difference between a pile of names and a list of leads. Skip it and your reps spend their time manually looking people up one by one, which is slow, inconsistent, and the first thing they stop doing when they get busy.

The fields that matter

You can attach dozens of attributes to a person, but a handful do almost all the work for B2B sales. Get these right and you can qualify well; chase exotic fields and you mostly collect blanks.

Role / job title. What the person does. The single most useful field, because it tells you whether they are even the kind of person you sell to.
Seniority. A "Manager" and a "VP" of the same function are different leads. Seniority tells you whether this is a buyer, a champion, or a user.
Company. Which organization they work for, which unlocks everything about the account.
Company size. Usually headcount. One of the strongest firmographic signals for fit, and far easier to find reliably than revenue.
Location. Where they are, so you know if you can sell, support, and bill them, and which timezone to message in.

Industry and function are useful too. Past that, you hit diminishing returns fast. Revenue, funding, and tech stack sound great but are often missing or stale, and building your qualification on fields that are half-empty just produces confident-looking guesses.

The accuracy problem nobody likes to mention

The part the data vendors gloss over is decay: B2B contact data goes stale, and it goes stale quickly. People change jobs, get promoted, switch companies, and relocate. A title that was accurate last year may be wrong today. Industry estimates for how fast B2B data goes stale are not flattering, and even without a precise number, you can feel it: a list bought a year ago is noticeably worse than one assembled last week.

This has a few practical consequences.

Recency beats volume. A small set of freshly enriched leads is worth more than a giant database that has been sitting around. Engagement-based prospecting has an advantage here, because the people are surfaced when they engage, so the enrichment happens on currently active profiles rather than a frozen list.
Source matters. Enriching from a live profile that the person maintains tends to be more current than enriching from a third-party data dump.
Re-enrichment is real. If you keep leads around, their data ages. Periodic refresh, or at least a way to keep history and notice changes, keeps the list honest.

Folkscope enriches the people who engage into leads with role, company, and location, and because it syncs daily and keeps history, you are working with people who were active recently rather than a static export. That recency is doing quiet work even when you don't notice it.

Old data does not just slow you down. It makes you confidently wrong, which is worse.

How enrichment feeds scoring

Enrichment and scoring are two halves of one job. Enrichment fills in the attributes; scoring uses those attributes to decide who matters. You cannot score what you have not enriched, and there is no point enriching if you are not going to score and prioritize.

Walk it through. Your ICP says you sell to Heads of Sales at B2B software companies with 50 to 500 employees in Europe. To check a given engager against that, you need their role (Head of Sales? close enough?), their company's industry (B2B software?), the headcount band (50 to 500?), and their location (Europe?). Those are exactly the enrichment fields above. Enrichment provides the inputs; scoring runs them against the ICP and produces a fit number.

That is why thin data quietly wrecks scoring. If half your leads are missing a company size, your firmographic score is guessing for half your list, and a guessed score is worse than no score because it looks trustworthy. The quality of your prioritization is capped by the quality of your enrichment.

A reasonable bar for "workable"

You do not need every field perfect. A lead is workable when you can answer three questions:

Is this person the kind of role we sell to? (role, seniority)
Is their company the kind we serve? (company, company size, industry)
Can we actually do business with them? (location)

If you can answer those three, you can decide whether to reach out and roughly what to say. Everything beyond that is nice to have.

Don't over-engineer it

There is a temptation to build an elaborate enrichment stack with a dozen data sources and a long list of attributes. Resist it at first. Nearly all of the value comes from getting the core five fields right on recent, active people, and then scoring them honestly against a focused ICP. Add more fields only when you have a specific question they would answer.

Enrichment is the dull part of prospecting, and it is the part that determines whether the exciting parts work. A great ICP, a clever opener, and a fast routing setup all depend on knowing who the person actually is. Get the name to a workable lead, reliably and recently, and everything downstream gets easier.