Free Lead Sample Before Buying
How a one-time free lead sample helps evaluate data format, field coverage, masked previews, and purchase fit before buying a larger dataset.
Short answer
The best lead data purchase workflow starts with clear filters, uses masked previews and samples, applies suppression values, confirms legal and refund terms, and downloads only datasets the customer is prepared to use responsibly.
Recommended workflow
- Step 1
Use one sample account-wide
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
- Step 2
Keep samples to 50 records
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
- Step 3
Review CSV fields
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
- Step 4
Compare preview and download
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
- Step 5
Avoid business enrichment in free samples
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
- Step 6
Move to paid filters when ready
Document the decision, keep field names consistent, and make the handoff clear for the next person using the data. This is what makes a lead dataset more reviewable instead of just large.
Build a filtered lead dataset with a clearer review path
Filter the catalogue, review a sample, confirm the terms, and download the generated CSV after payment confirmation.