A skip trace enrichment resale that a 41 percent connect rate ate in six months
This one is worth studying because everything about it looks reasonable until the match rate gets measured. The idea: wholesalers a marketing operator already serves keep complaining that their phone numbers are bad. The operator has a pipeline of them, so builds a thin enrichment product. Upload a CSV of addresses, get back owner name, mailing address and up to three phone numbers, scored. Priced at $99 a month for 500 lookups, $0.14 each after that. The operator is not the data source. Wholesale data is bought from two providers and stitched together, and the stitching is the actual product: dedupe, phone scoring and a clean CSV out. Spend in a case like this: $27,400 all in. Of that, $19,000 goes to a contract developer over four months, $3,800 to data credits during testing, the rest to the site and a lawyer for the terms. Peak is 14 paying accounts, so $1,386 MRR. Then churn. Monthly churn runs 20 to 24 percent for three months straight, and every exit interview says the same thing in different words: the numbers did not connect. Measured properly, which should happen in week two, the picture looks like this. Across 6,100 lookups the providers return at least one number on 63 percent of records. Of those numbers, the ones customers actually reach a human on come out around 41 percent of records. Competitors sit somewhere similar, and they are priced so that 41 percent still works for the buyer. At this price it does not, because the buyer compares the product to his old provider and not a single record has been made better. Only the CSV got prettier. What to do instead: buy 1,000 records from three providers first, hand dial 200 of them, and only write code if the stitched match rate beats the best single provider by ten points or more. That test costs about $400 and two weekends. The version above costs $27,400 to learn the same thing.