What “Accurate Skip Tracing” Actually Means (And How to Test It)

Every skip tracing provider advertises a huge match rate, and every investor has a stack of traced lists full of numbers nobody answers. Both things are true at once, because "match rate" and "accuracy" are different measurements — and the industry mostly markets the easy one.

Three metrics, only one of which pays you

• Match rate — the share of input records that returned anything. Easy to inflate: loosen the matching threshold and the number goes up while quality goes down.
• Connect rate — the share of returned numbers that are live lines. Better, but a live line answered by a stranger still isn't a lead.
• Right-party contact rate — the share of dials that reach the actual owner. This is the only metric your deal flow experiences, and no provider can print it on a landing page because it depends partly on your list.

Why accuracy varies more by list than by logo

Two providers with identical databases will score differently on different lists, because accuracy is a function of the input:

• Input completeness. Owner name + property address + mailing address traces dramatically better than a name alone. Garbage columns in, garbage matches out.
• List composition. Long-tenured owner-occupants trace easily. Recent movers, estates, and entity-owned parcels are where providers separate — if your lists skew hard (they should; that's where deals are), test on your lists.
• Data freshness. Identity graphs decay daily. A provider that traces fresh at submit time beats one serving cached results from months ago — this is also why re-tracing aged leads works so well.
• Entity handling. A tracer without LLC and trust resolution scores an automatic zero on the most deal-prone slice of the list.

The 100-record test

Run this before committing volume anywhere — including to Acquired Data:

1. Pull 100 records that look like your real campaigns (absentee, distressed, some entity-owned).
2. Trace the identical file on each provider you're evaluating.
3. Dial or text every returned primary number over a few days.
4. Score each provider on right-party contacts per dollar spent — not matches, not connects, and not the sticker price (why sticker price lies).

A hundred records costs a few dollars per provider and settles the accuracy argument with your data instead of anyone's marketing — ours included. When you're ready to run one, the bulk tracing guide takes a CSV from upload to results in one sitting, and the add-ons guide covers which quality flags are worth turning on for the test.