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What is the Average Percentage of People Captured in a Polygon Using LocationIQ?

When analyzing geographic areas, it’s important to understand the average percentage of total people within a polygon that can be captured. This can help you better interpret the data and make more informed decisions based on location-based insights.

Average Capture Rate in LocationIQ

LocationIQ captures an average of 40-50% of all RAW MAIDs (Mobile Advertising IDs) within a defined polygon. Here’s a detailed breakdown of what this means and factors that can influence these percentages:

Breakdown of Captured Data

  1. RAW MAIDs: This refers to the total number of unique mobile device identifiers detected within a polygon.
  2. Percentage Captured: On average, LocationIQ captures between 40-50% of these RAW MAIDs. This percentage represents the fraction of all devices in the area that are detected and logged by the system.

PII (Personally Identifiable Information) Matches

  • Of the captured RAW MAIDs, approximately 60% will have PII matches. PII matches refer to device data that can be linked to identifiable personal information, which allows for more detailed and personalized insights.

Factors Affecting Capture Rates

Several factors can influence the capture rates of devices within a polygon, particularly during events that cause significant spikes in mobile device traffic:

  1. Large Events: During large events, such as concerts or sports games, the number of devices in a particular area can increase dramatically. These spikes can put stress on cell towers, leading to degraded signal quality.
  2. Signal Degradation: When cell towers are overloaded, the signal quality decreases. This degradation can affect LocationIQ's ability to accurately identify and capture devices, potentially lowering the average capture rate.

Practical Implications

Understanding these capture rates is essential for:

  • Data Analysis: Provides a baseline for interpreting the proportion of total traffic that is being captured and analyzed.
  • Event Planning: Helps anticipate and plan for reduced capture rates during large events, enabling better resource allocation and strategy adjustments.
  • Accuracy and Coverage: Acknowledges the limitations and factors influencing data accuracy, allowing for more precise conclusions and decisions.

Conclusion

LocationIQ provides a robust solution for capturing mobile device data within defined polygons, with an average capture rate of 40-50% of all RAW MAIDs. Of these, about 60% will include PII matches, allowing for deeper insights. However, be aware that during large events, signal degradation may impact the capture rate, influencing data accuracy.

For more detailed information or specific inquiries, consider reaching out to LocationIQ support at locationiq@m1-data.com.