Affordable Mass Data Enrichment

I have millions of raw records that need contact-level enrichment and, until now, I have been relying on Melissa. Licensing costs, however, have become prohibitive, so I’m searching for a markedly cheaper way to append email addresses, phone numbers, postal addresses, and, where possible, full names—without sacrificing accuracy.

Here’s what I need:

• A clear proposal for a new enrichment workflow or alternative provider that keeps per-record costs low while maintaining dependable match rates.
• A small pilot run (10–50 k records) so I can verify accuracy, error handling, and throughput before we scale.
• A documented pipeline—scripted in Python, R, or a lightweight ETL tool of your choice—showing how to push millions of records through the chosen API/service, manage rate limits, and export the enriched data in CSV or Parquet.
• A concise comparison sheet outlining projected monthly costs versus Melissa and any licensing caveats.

Acceptance criteria: the pilot must achieve match rates comparable to—or better than—my current Melissa output at a noticeably lower total cost per thousand records. Clarity of documentation and reproducibility are equally important.