Writing B2B lead filters that do not miss good leads

Good filters accept the leads you would accept yourself and reject the ones you would skip. The two common failures are filters that are too narrow (missing good leads written in different words) and too broad (letting through irrelevant or risky leads).

Use phrases, not just single words

The word "machine" alone matches sewing machines, packing machines and repair requests. Phrases such as "cnc lathe machine", "cnc turning machine" and "vmc machine" describe a specific product. Combine several phrases with OR so that any of them qualifies.

Make exclusions explicit

List the words that should always reject a lead: repair, service, job, used, second hand, rent. Exclusions should be checked before anything else, so that "CNC machine repair required" is rejected even though it contains "cnc machine".

Match whole words

A filter that matches raw text can reject good leads by accident: an exclusion for "used" would also match "focused". Whole-word matching avoids this, while still accepting simple plurals such as "machines".

Combine conditions with AND, OR and NOT

For more precise targeting, write rules as expressions. For example:

• (cnc AND location:gujarat) AND NOT (repair OR job)
• "cnc lathe machine" OR "vmc machine"
• category:="CNC Machines" budget>=500000

Keep each rule readable. Several small, named rules are easier to maintain than one long expression.

Test with real examples

Collect ten recent leads you would buy and ten you would skip. Run each through your filters and check that every decision matches yours. When one does not, the explanation of matched and failed conditions shows which rule to change.