Urbanix

Location data products

From raw signals to ready-to-use intelligence. Each product is shaped to your use case, format and cadence.

Raw location feeds

Anonymized device-level location events for teams that build their own models.

What you get

  • Hashed device identifiers with rotation
  • Latitude, longitude, timestamp and accuracy
  • Device platform and country
  • Sensitive places already removed

Typical use cases

  • Custom modeling and research
  • Enriching first-party data
  • Building in-house audiences

Example fields

{
  "device_hash": "a91f3c...e07b",
  "lat": 25.2048,
  "lon": 55.2708,
  "horizontal_accuracy_m": 12,
  "timestamp_utc": "2026-09-14T08:42:17Z",
  "platform": "android",
  "country": "ARE"
}

Enriched location data

Location events turned into visits, places and patterns.

What you get

  • Visits to points of interest with dwell time
  • Geohash-level aggregation at the precision you choose
  • Area-level home and work patterns
  • Time-of-day and day-of-week profiles

Typical use cases

  • Visitation analysis
  • Competitive benchmarking
  • Input for attribution models

Example fields

{
  "device_hash": "a91f3c...e07b",
  "poi_category": "shopping_mall",
  "geohash6": "thrr3x",
  "visit_start_utc": "2026-09-14T16:05:00Z",
  "dwell_minutes": 74,
  "daypart": "evening"
}

Location audiences

Audience segments based on real-world behavior, ready for campaigns.

What you get

  • Behavioral segments, for example frequent travelers, commuters or shoppers at specific categories
  • Custom segments built from your locations or geofences
  • Delivery to the platforms you use, subject to integration
  • Minimum segment sizes for privacy

Typical use cases

  • Geotargeted campaigns
  • Retargeting visitors of specific places
  • Lookalike seeds

Example fields

{
  "segment_id": "seg_mall_weekend_shoppers",
  "definition": "2+ weekend mall visits in 30 days",
  "geography": "Dubai",
  "min_segment_size": 1000,
  "refresh": "weekly"
}

Location analytics

Aggregated insights about places and movement, no device-level data required.

What you get

  • Footfall trends by place or area
  • Heatmaps by hour and day
  • Catchment areas
  • Origin and destination flows

Typical use cases

  • Site selection
  • Transport planning
  • Network and capacity planning
  • Campaign measurement
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Example fields

{
  "area_geohash5": "thrr3",
  "date": "2026-09-14",
  "hour": 18,
  "visits_index": 142,
  "top_origin_geohash5": "thrqp"
}

Location integrity and fraud detection

Signals that tell real location from fake.

What you get

  • GPS spoofing indicators
  • Impossible travel detection
  • Mismatch between claimed and observed location
  • Risk scores you can plug into your own rules

Typical use cases

  • Ad fraud prevention
  • Fake install and click farm detection
  • Transaction and account risk checks

Example fields

{
  "device_hash": "c22d9b...41aa",
  "check": "impossible_travel",
  "distance_km": 812,
  "elapsed_minutes": 3,
  "risk_score": 0.97
}

Delivered the way you work

  • Formats

    Parquet, CSV or JSON.

  • Delivery

    Amazon S3, Google Cloud Storage, Azure Blob, Snowflake, SFTP or API.

  • Cadence

    Daily, weekly or one-off historical datasets.

Need something else? We build custom location products around specific questions.

Talk to us