[DRAFT — Target keyword: "bad data real estate", "real estate data accuracy"]
What "Bad Data" Actually Looks Like
[Stale ownership records, wrong phone numbers, deceased owners, already-sold properties, incorrect equity calculations. Real examples investors encounter daily.]
The Hidden Costs Nobody Calculates
[Direct costs (wasted mail, wasted skip trace fees) are obvious. Hidden costs: (1) Acquisition manager time on dead leads. (2) Cold caller hours dialing wrong numbers. (3) Deals lost to competitors with fresher data. (4) Morale — your team loses confidence in the leads.]
How to Calculate Your True Data Cost
[Formula: (Total data spend + wasted outreach spend + team time on bad leads) / deals closed = true data CPD. Most investors only count the subscription fee.]
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Check My MarketWhat Good Data Accuracy Looks Like
[Benchmarks: Phone accuracy >70%, address currency <90 days, equity accuracy within 10%, ownership verified within 30 days. If your provider can not tell you their accuracy rates, that is a red flag.]
How to Audit Your Current Data Provider
[Pull 100 random records. Manually verify: Is the owner still the owner? Is the phone number valid? Is the equity estimate accurate? If >20% fail, your provider has a quality problem.]
Internal links: /glossary/cost-per-deal, /glossary/skip-trace, /glossary/predictive-analytics