Pending Sales Data
Pending Sales Data captures residential properties once they enter contract, providing early insight into housing demand before transactions close.
By surfacing under-contract activity 30–90 days ahead of public sale records, this dataset delivers a forward-looking view of market momentum and transaction velocity.
All contract signals are standardized across MLS-derived sources without MLS affiliation.
Key Features
30–90 day lead time ahead of public sale records
Nationwide coverage, including non-disclosure states
Contract-level pricing and timeline attributes
Standardized schema for forecasting and analytics
Weekly refresh cadence
Who Uses This Data
- Brokerage, lending, and enterprise real estate teams use Pending Sales Data to anticipate market movement and adjust pricing, staffing, and go-to-market strategies before closings occur.
- Investors and research analysts rely on contract activity to evaluate demand strength, pipeline health, and near-term transaction risk.
- PropTech platforms incorporate pending signals into forecasting models, transaction analytics, and market momentum indicators.
How This Data Powers Decisions
Primary Value: Forward-looking demand signals that reveal market momentum before sales close.
Pending Sales Data enables earlier, more confident decisions by revealing demand trends before they appear in closed sales.
Near-term market forecasting
Reveal demand trends before they appear in closed sale data.
Pipeline and volume modeling
Estimate future transaction counts using contract velocity and fallout rates.
Pricing validation
Use contract pricing signals to reinforce or challenge pricing assumptions.
Market momentum analysis
Detect acceleration or deceleration in buyer activity across markets.
Pre-mover identification
Support targeted engagement strategies earlier in the transaction lifecycle.
Talk to a data specialist
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