Workflow
Customer data and segmentation workflows
Workflows that clean, enrich and segment customer records so marketing, sales and service can act on a consistent, trusted view.
This may look different in your business. The same pattern can apply to other workflows where information is collected, checked, compared, enriched, approved, reported or acted on.
What this workflow usually involves
Pulling customer data from sources, matching and deduplicating, enriching, segmenting and pushing into the tools that act on it.
Where it breaks
- No master record.
- Field ownership is informal.
- Cleaning happens outside the system of record.
Common inputs
- CRM and CDP records
- Ecommerce purchase history
- Marketing engagement
- External enrichment where used
Common outputs
- Cleaned customer records
- Defined segments
- Suppression and consent lists
- Campaign-ready audiences
Where AI can help
Likely-duplicate matching, field enrichment, behavioural segmentation and drafting clear descriptions of each segment.
Where human review belongs
On merges, on outreach decisions and on anything that touches consent.
Systems often involved
- CRM
- CDP
- Ecommerce
- Email / marketing tools
- Spreadsheets
Example applications
- Customer segmentation and list deduplication
- Account-based segmentation for B2B
- Service triage by segment
How value is measured
Duplicate rate, segment freshness, campaign relevance and time saved on list-building.
Where this connects