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    Data TransparencyFebruary 1, 20268 min read

    Data Freshness and Updates

    This page explains how fresh the data is, how it is collected, and what freshness realistically means for business leads.

    data freshnessdata updatesdata collectionbusiness leadsdata quality

    Continuous Collection

    Data gathered at scale

    Cycle Updates

    Periodic refresh cycles

    No Real-Time Illusion

    Honest expectations

    How Data Is Collected

    RangeLead collects publicly available business information through automated systems.

    Data Sources

    • Public business listings from major platforms
    • Public business websites and contact pages
    • Publicly available signals and indicators

    Collection Method

    Continuously
    Automatically
    At Scale

    Data is captured as it exists at the moment of collection.

    How Often Data Is Updated

    Data updates happen in cycles. Not all businesses change at the same rate.

    Periodic Revisits

    Listings are revisited periodically to capture changes

    Fields May Change

    Business information can change between update cycles

    Variable Rates

    Not all businesses update their info at the same rate

    Update Frequency Depends On:

    Source Availability

    Data access and limits

    Business Activity

    How often they change

    Data Stability

    Static vs dynamic info

    Highly active businesses change more often

    Inactive businesses may remain unchanged longer

    What "Fresh" Means in Practical Terms

    Fresh does NOT mean real-time

    Fresh Means:

    • Recently observed public data

      Captured from live sources

    • Current at the time of collection

      Accurate when gathered

    • Not manually aged or reused

      Always from recent cycles

    Real-World Examples:

    Website status: A website that worked during the scan may go offline later

    Phone numbers: A phone number may change after collection

    Business status: A business may close after data capture

    This is normal in real-world business data.

    Why Absolute Real-Time Is Unrealistic

    Real-time business data at scale is not possible. Here's why:

    Unpredictable Updates

    Businesses update their information unpredictably and at their own pace

    Source Latency

    Public sources themselves have delays in reflecting changes

    Scale Constraints

    Continuous live verification is not feasible at large volumes

    Even major platforms operate on delayed refresh cycles.

    RangeLead Prioritizes:

    Accuracy at Capture
    Scale & Consistency
    Transparent Limits

    What RangeLead Does and Does Not Do

    RangeLead Does:

    • Refresh datasets over time

      Regular update cycles for data

    • Replace outdated records

      During scheduled update cycles

    • Remove closed businesses

      When permanently closed status is detected

    RangeLead Does Not:

    • Monitor in real time

      Not every business is watched continuously

    • Guarantee future validity

      Contact details may change after purchase

    • Update files retroactively

      Purchased files are not modified later

    How You Should Use the Data

    Follow these best practices to get the most value from your lead data.

    1

    Use Data Soon

    Use data soon after purchase for best results

    2

    Validate Critical Fields

    Verify important information before outreach

    3

    Expect Natural Decay

    Some data will become outdated over time

    This is standard for any large-scale lead dataset.

    Important Clarification

    Data Freshness Affects Probability, Not Certainty

    Fresh Data Improves:

    Reachability
    Accuracy
    Relevance

    It Does NOT Eliminate:

    Bounces
    Closures
    Changes

    Summary

    • Data is collected continuously
    • Updates occur in cycles
    • Fresh = recently captured, not live
    • Real-time at scale is unrealistic

    Ready to Get Started?

    Browse our database of verified business leads. Download a free sample to see the data quality for yourself.

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