FIELD NOTE · Database Marketing
Build useful customer segments without inventing a complex model
Begin with a decision and a small number of trustworthy fields.
Choose the action before the segment
A segment is useful when it changes a relevant action. Recent purchasers might receive product-use information; customers who asked about a service might receive the requested follow-up. “Everyone with a record” is not automatically a marketing audience. Confirm that the contact route and purpose fit the permissions and expectations that apply.
Use explicit definitions
Define “recent customer” as a specific interval measured from a stated date, not a label interpreted differently by each employee. Define whether transaction dates mean ordered, paid, posted, or completed. If a system has several date fields, inspect examples before choosing one. A neat chart based on the wrong date is still misleading.
Check overlap and missing data
Suppose 100 records are classified as recent and 80 as lapsed, but 15 appear in both. Either the segments are intentionally overlapping or the rules need work. Explain which. Keep an unclassified group for records lacking the fields needed to make a decision. Do not force missing records into “lapsed” just to make totals reconcile.
Test a small operational result
Produce the segment counts and review a handful of representative records using authorized access. Ask whether the proposed action makes sense for those examples. Keep the rules, extraction date, and exclusions with the output. Start with two or three segments that someone can actually use; add complexity only when a real decision requires it.
Prepared with AI assistance. Examples are constructed for explanation, not reported customer results. Corrections are welcome through the contact page.
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