Data Services
CRM Data Enrichment
Fill the gaps, with sources you can trace.
What this covers
Thin records don't convert. We enrich your data with the firmographics, decision-makers and missing fields your sales and marketing need.
- Firmographic and contact enrichment
- Missing decision-makers and roles identified
- Segmentation-ready data for sharper targeting
- Ongoing top-ups so records never go stale
Clean and enrich the data, and the business becomes visible
The point of the work is not tidier records. It is that questions you could only guess at become questions you can answer.
Enrichment is what makes a segment possible
A list of company names is not a segment. Sector, size, location, technology and role are what turn a database into something you can target, prioritise and forecast against. Most CRMs are missing exactly those fields on exactly the records that matter.
You cannot target what you cannot filter
A campaign aimed at finance directors at UK manufacturers needs a sector, a country and a job title on the record. Without them the list is everyone, and the campaign performs like it.
Sales prioritise by guesswork
Given two accounts and no firmographics, a rep picks the one they recognise. Company size, headcount and sector are what make a queue an order of merit.
Whole roles are missing
The CRM knows the person who filled in a form. It does not know who signs, who blocks, or who else at that company should be in the conversation.
Records decay whether you touch them or not
People change jobs, companies rebrand, sites close. An enrichment done once and never repeated is accurate on the day it lands and less so every month after.
How we enrich it
Work out what is actually missing
We measure field completeness across the records that matter, so the work is aimed at the gaps that block a decision rather than every empty box.
Decide which fields are worth filling
Enrichment costs money per record. The fields worth buying are the ones a segment, a routing rule or a forecast depends on, and that list is usually shorter than people expect.
Match, then fill
Records are matched against enrichment sources, and the provider is chosen to suit the field and the market rather than the other way round. Matching is the part that decides quality: a confident match on the wrong company is worse than no match at all.
Record where each value came from
Every enriched field arrives with a source and a date. A field you cannot trace is a field nobody will trust the first time it disagrees with a salesperson.
Top up on a schedule
The fields that decay get refreshed on a cadence rather than in one heroic pass, so the database does not quietly return to where it started.
What we will not do
- Fill a field with a low-confidence match to improve a completeness score
- Overwrite something your team entered with something a vendor supplied, without a rule
- Enrich records you have no reason to contact
- Hand back data with no source and no date on it
What you have at the end
Segments that hold
Sector, size, location and role populated well enough that a filter returns the list you meant, and the same list twice.
A queue sales can trust
Accounts prioritised on what they are rather than on who remembers them.
Fields with a provenance
Every enriched value traceable to a source and a date, so its age is visible when someone questions it.
A way to stay current
An agreed refresh cadence for the fields that decay, rather than a one-off that ages from the day it finishes.
When enrichment is the right step
Good fit if
- your records are accurate but thin
- segmentation depends on fields most records do not have
- sales are prioritising accounts on instinct
- you know the buyer but not the rest of the buying group
- an earlier enrichment has aged and nobody has refreshed it
Not yet if
- the same company exists three times, which is cleaning first
- nobody has agreed what the fields are for, which is discovery
- you do not know which fields a decision actually depends on, which is a data audit
- the records are about to move systems, in which case enrich after the migration
Common questions about CRM data enrichment
Where does the data come from?
From more than one provider, chosen for the field being filled and the market you sell into. No single source is good at everything, and a business that relies on one inherits its blind spots. Every field is stamped with its source and the date it arrived, so you can see what any given value is based on.
How accurate is it?
Accuracy depends on the match more than the source. We tune matching to favour a confident gap over a plausible guess, because a wrong value that looks right is more expensive than an empty field.
What about GDPR?
We can tell you where every enriched field came from and when, which is what a records-of-processing question usually needs. What your lawful basis is for holding and using it is a decision for whoever owns data protection in your business, not one we make for you.
Will it overwrite what our team has entered?
Only if you ask it to. The default is that human-entered values win and enrichment fills the blanks, because the person who spoke to the customer usually knows more than the vendor.
How often should it run?
Firmographics move slowly, people move quickly. Most businesses settle on refreshing contact-level fields far more often than company-level ones, and the right cadence is set from how fast your own data has decayed.
Talk to us about your data
Tell us what you are trying to segment or prioritise, and we will tell you which missing fields are actually in the way.
No pressure. No hard sell. Just a clear view of what is missing and what it is worth filling.