Motionworks Viewcast provides media metrics including Circulation, Opportunity to See (OTS) and Likelyhood to See (LTS) impressions for exposed audiences that are visiting assigned places or traveling along paths assigned to the media. All assigned paths and places are measured and aggregated to report deduplicated audience exposure and impression profiles.

For details on viewshed creation, traffic measurement, and how circulation is converted to Opportunity to See metrics, see Viewcast Methodology.

Data Dimensions

• Frequency: Published monthly. Data products are incremented one month after the end of each month, within 6 weeks of the close of a month.
• Geographic coverage: Summarizes traffic in any viewshed area within the United States.
• Date availability: Historical data available back to 2019 with monthly and annual aggregations.
• Latency: Data are released within 6 weeks of month close. For example, January 2025 will be incremented no later than March 15, 2025.

Schema

Market Structure

Geographic market information for the viewshed.

{
  "co_geoid": "06037",
  "co_name": "Los Angeles County",
  "st_name": "California",
  "cbsa_geoid": "31080",
  "cbsa_name": "Los Angeles-Long Beach-Anaheim, CA",
  "cbsa_type": "Metropolitan",
  "dma_geoid": "803",
  "dma_name": "Los Angeles, CA",
  "postal_code": "90210"
}

• co_geoid: County GEOID
• co_name: County name
• st_name: State name
• cbsa_geoid: Core Based Statistical Area GEOID
• cbsa_name: Core Based Statistical Area name
• cbsa_type: CBSA type (Metropolitan/Micropolitan)
• dma_geoid: Designated Market Area GEOID
• dma_name: Designated Market Area name
• postal_code: Postal code/ZIP code

Assignment Status Values

Percent Circulation

Day-of-week and hourly traffic distribution, plus demographic segment breakdowns following a standardized format.

Day/Hour Distribution

Contains a 'day' array with 7 records (Monday-Sunday), each with a daily percentage and 24-hour breakdown.

{
  "day": [
    {
      "id": "mo",
      "description": "Monday",
      "value": 0.1273,
      "hourly": [
        0.0215, 0.0148, 0.0083, 0.0053, 0.0037, 0.0044,
        0.0069, 0.0127, 0.0261, 0.0401, 0.0448, 0.0582,
        0.0679, 0.0735, 0.0764, 0.0809, 0.0902, 0.1017,
        0.0763, 0.0608, 0.0448, 0.0336, 0.0274, 0.0196
      ]
    },
    {
      "id": "tu",
      "description": "Tuesday",
      "value": 0.1429,
      "hourly": [...]
    }
  ]
}

• id: Two-letter day identifier (mo, tu, we, th, fr, sa, su)
• description: Full day name
• value: Daily circulation percentage (all 7 days sum to 1.0)
• hourly: Array of exactly 24 hourly percentages (sum to 1.0 within each day)

Demographic Segments

Contains demographic segment breakdowns within segment.basic_demographics.

{
  "segment": {
    "basic_demographics": [
      {
        "category": "age_plus",
        "segments": [
          {
            "id": "age_00plus",
            "description": "All Persons",
            "value": 1.0,
            "index": 1.0
          },
          {
            "id": "age_18plus",
            "description": "Population, Age 18+",
            "value": 0.7862,
            "index": 0.9796
          }
        ]
      },
      {
        "category": "prizm",
        "segments": [...]
      }
    ]
  }
}

• category: Demographic category (e.g., age_plus, prizm)
• segments: Array of segment values
  • id: Segment identifier
  • description: Human-readable segment description
  • value: Segment percentage value
  • index: Index against population benchmark

Historical Summary

Historical data with standardized metrics organized by year and month periods. Provides longitudinal view of traffic and circulation patterns.

{
  "year": [
    {
      "id": "2024",
      "period_start": "2024-01-01",
      "traffic": 91552.0,
      "face_circ": 64086.0,
      "spot_circ": 64086.0,
      "spot_ots": 64086.0,
      "dwell": 45.0,
      "period_days": 365
    },
    {
      "id": "2023",
      "period_start": "2023-01-01",
      "traffic": 89234.0,
      "face_circ": 62463.0,
      "spot_circ": 62463.0,
      "spot_ots": 62463.0,
      "dwell": 47.0,
      "period_days": 365
    }
  ],
  "month": [
    {
      "id": "2024-04",
      "period_start": "2024-04-01",
      "traffic": 24432,
      "face_circ": 49075,
      "spot_circ": 49075,
      "spot_ots": 49075,
      "dwell": 8,
      "period_days": 30
    }
  ]
}

Detailed Traffic Summaries

The following fields provide granular traffic breakdowns including separate vehicle and pedestrian counts, weighted speed measurements, and daytype classifications not available in the history and percent_circ fields.

by_year

Annual summary of vehicle and pedestrian volumes and speeds within the viewshed.

[
  {
    "year": 2024,
    "avg_daily_veh_traffic": 1250.5,
    "avg_daily_ped_traffic": 320.2,
    "wtd_duration": 45.0,
    "wtd_speed": 35.5,
    "period_days": 366,
    "ots_total": 485000.0
  }
]

by_week

Weekly summary of vehicle and pedestrian volumes and speeds within the viewshed.

[
  {
    "week": "2024-W15",
    "avg_daily_veh_traffic": 1180.3,
    "avg_daily_ped_traffic": 298.7,
    "wtd_duration": 42.0,
    "wtd_speed": 36.2,
    "period_days": 7,
    "ots_total": 9250.0
  }
]

by_day_hour

Daily and hourly traffic distribution.

[
  {
    "day_of_week": 1,
    "daytype": 1,
    "daily_pct": 0.1429,
    "hourly_pct": [0.021, 0.015, 0.008, ...]
  }
]

• day_of_week: 1 = Monday, 2 = Tuesday, ... 7 = Sunday
• daytype: 1 = Mon-Thu, 2 = Fri, 3 = Sat, 4 = Sun
• daily_pct: Percentage of weekly traffic on this day
• hourly_pct: Array of 24 hourly percentages