Key takeaways
- Enrichment adds fields; cleansing corrects, merges and removes them.
- Cleanse before you enrich, or you spend effort on records you will delete.
- Data enhancement usually means the same as enrichment; agree one meaning.
- Both decay over time, so neither is a one-off job.
What does data enrichment add
Data enrichment adds facts a record does not yet have, usually from a source outside your own systems. The aim is to make a record complete enough to act on.
- Person fields: job title, seniority, work email and location.
- Company fields: industry, size, headquarters and website.
- Contact quality fields: a confidence score or a catch-all flag on the email.
- Context: a recent public post or announcement to personalise outreach.
What does data cleansing fix
Data cleansing fixes the records you already hold, so that what is there is right and appears only once. It removes nothing useful and adds nothing new.
- Merging duplicate contacts and companies into one record.
- Standardising formats, such as country names, job titles and phone formats.
- Correcting typos and broken email addresses.
- Removing records for people who have left or addresses that bounced.
- Archiving records nobody has a reason to keep.
Data enhancement vs data enrichment: is there a difference
Usually no: most teams use data enhancement and data enrichment for the same thing. Where a team does separate them, enhancement tends to mean fields worked out from data you already hold, such as a segment or a score, and enrichment means facts brought in from outside.
Either meaning is fine. What matters is that marketing, sales and operations use the same one, so a request to enhance the data means the same job to everyone.
Which comes first: data cleaning or enrichment
Cleaning comes first. Enriching before you merge duplicates means doing the work twice, and enriching people who have already left wastes effort on records you will delete.
After enrichment, run a short cleanse again. New data can bring new duplicates, such as the same company under a slightly different name.
How often should CRM cleansing happen
CRM cleansing works best little and often: a quick check each time records come in and a fuller review on a regular cycle, such as each quarter. Waiting for a yearly clean-up lets bad records spread into reports and sends.
Some moments call for an extra pass: before a migration, before a large campaign and after any bulk import.
Data enrichment and data cleansing compared
Most CRMs need both; the table shows how they differ.
| Data enrichment | Data cleansing | |
|---|---|---|
| Goal | Complete records | Correct, single, current records |
| Typical work | Adding titles, company details and emails | Merging, standardising, fixing and removing |
| Main input | A source outside your systems | The records you already hold |
| Risk if skipped | Records too thin to act on | Duplicates, bounces and misleading reports |
| When | After cleansing, and for new records | First, then on a regular cycle |
Where Pebbles Ai fits
- CapabilityProspecting & customer recordsIn the Pebbles Ai CRM, which is in Beta, you can merge 2 to 100 duplicate records, restore records from the Bin and add custom fields for what your team tracks. Leads from Find fresh leads arrive with a work email where found, a confidence score and a catch-all flag.
- FoundationIntegrationsIf Attio or Pipedrive is your system of record, the assistants can read records and create or update them through MCP, each write an approval action under your execution mode; there is no background sync.
Common questions
Does enrichment fix bad data?
No. Enrichment fills gaps but does not correct wrong values or merge duplicates, and it can add a second wrong value beside the first.
Can enrichment create duplicates?
Yes, when a new record arrives for a person or company you already hold under a slightly different name. A short cleanse after each enrichment catches them.
Is deduplication part of data cleansing?
Yes, it is usually the first and most valuable step, because every later fix is easier when each person and company exists only once.
About this page. Written by the Pebbles Ai team for people who run sales, marketing and growth. Last updated .
