M Motionworks Population Intelligence
  • Pricing
Measurement Access

Viewcast Profiles

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

Name Description Type Example
place_id Motionworks Place identifier for the face. Integer 2156056278
spot_id Customer provided spot identifier for the measurement in this record. Integer 50577208
location Point location of the face as a geography type. Geography POINT(-77.6883 43.1646)
market Geographic market information with standardized geography fields including county, state, CBSA, and DMA. JSON See Market Structure
construction_type Construction type of the display. Includes: Freestanding, Interior Wall, Furniture, Exterior Wall, Bus Exterior, Exterior Vehicle, Ceiling, Floor, Column, Elevator, Stairs, Furniture - Top, Interior Vehicle, Tablet, and Rooftop. String Freestanding
classification_type Classification type of media: Roadside or Place-Based. String Roadside
media_type Media type based on the width and height of the face. Includes: Display, Panel, Junior Poster, Poster, Bulletin, and Murals. String Poster
digital Whether or not the face is a digital display. Boolean true
face_orientation Direction of the face in degrees (0=north, 180=south). Float 45.7
face_height Height of face in inches. Float 120.0
face_width Width of face in inches. Float 240.0
viewable_distance Maximum viewable distance in feet. Float 500.0
face_audit_status Audit status ID indicating the validation state of the face data. Integer 9
period_start Start date of the measurement period. String 2023-09-01
period_end End date of the measurement period. String 2024-08-31
period_days Number of days in the period. Integer 365
traffic Average number of vehicles and pedestrians per week during the reporting period observed within the viewshed. See Glossary:Traffic. Integer 1012
face_circ Average weekly circulation to the face during the reporting period (includes vehicle and pedestrian circulation). Integer 1113
face_ots Average weekly number of Opportunities to See impressions for the associated face during the reporting period. This is an aggregation of all spots sharing the face. Integer 1050
face_lts Average weekly number of Likelyhood to See impressions for the associated face during the reporting period. This is an aggregation of all spots sharing the face. Integer 975
spot_length Duration of spot in seconds for digital displays. Integer 8
share_of_voice Spot-level share of voice (0.0-1.0). Represents the percent of time this spot is visible on the face. Float 0.2
face_share_of_voice Face-level share of voice (0.0-1.0). Float 0.8
spot_circ Average weekly circulation for the spot during the reporting period. Integer 890
spot_ots Average weekly number of opportunities to see impressions for the associated spot. If digital, considers spot share of voice, spot length, and dwell time. Integer 840
spot_lts Average weekly number of Likelyhood to See impressions for the associated spot. If digital, considers spot share of voice, spot length, and dwell time. Integer 840
dwell Circulation weighted travel time within the viewshed for vehicles and pedestrians. Float 3.5
percent_circ Day-of-week and hourly traffic distribution, plus demographic segment breakdowns. JSON See Percent Circulation
history Historical data with standardized metrics organized by year and month periods. JSON See Historical Summary
assignment_status Assignment status classification. See Assignment Status Values. String Industry Assigned
assignments Traffic summary information of industry paths assigned to this viewshed. JSON [{"type": "path", "id": "abc123", "audit_status_id": 4}]
geopath Geopath inventory metrics matched to this viewshed, when available. JSON {"face_id": 31003420, "spot_id": 41003420, "face_traffic": 45231, "face_circ": 31661, "spot_circ": 31661, "spot_ots": 31661, "spot_lts": 28495}
total_population Total US population for reach calculations. Integer 331000000
market_population Market population for reach calculations. Integer 5000000
total_reach_eff1 Total reach with effective frequency of 1. Integer 125000
market_reach_eff1 Market reach with effective frequency of 1. Integer 85000
total_reach_eff3 Total reach with effective frequency of 3. Integer 45000
market_reach_eff3 Market reach with effective frequency of 3. Integer 32000
by_year Annual summary with separate vehicle and pedestrian volumes, weighted speed, and duration within the viewshed. JSON See Detailed Traffic Summaries
by_week Weekly summary with separate vehicle and pedestrian volumes, weighted speed, and duration within the viewshed. JSON See Detailed Traffic Summaries
by_day_hour Daily and hourly traffic distribution with daytype classification. JSON See Detailed Traffic Summaries

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

Status Description
Industry Assigned Path assignments agree with Geopath assignments.
System Assigned Motionworks system-generated assignments that differ from Geopath.
Motionworks Assigned Paths manually assigned by Motionworks team.
Unverified Assignments Assignments not yet validated; queued for manual audit.

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
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