{
  "title": "Precise campaign analysis, executed locally through Boombox",
  "recorded_at": "2026-09-06T18:25:26.795141+00:00",
  "data_status": "Synthetic data from the existing Precise demonstration generator. No customer observations.",
  "execution": {
    "status": "completed",
    "boombox_version": "0.14.6",
    "mode": "local file-contract runner",
    "product_owner": "Precise",
    "method": "Existing campaign workspace source ingestion and runResult",
    "boombox_snapshot_sha256": "27bb40d3f54ec927c8da4c35ea99dad58b6e156c1046d60c4f66ce4226122c6d",
    "product_result_ref": "precise:media-workspace-result/sha256:77f8ce6078ff387a80ea370a949076a0662260d9a9170a0ed807863bb132b514",
    "request_file_sha256": "8d6ebce0bd6894abb4f638e35071dab59e2d09f6ff57af88f6a2ba5af4560a29",
    "result_file_sha256": "410be678c49c1fdd5bd550e06e9837252a6b95b4c21c28001eb906fcc593b7c6"
  },
  "proves": [
    "The local Boombox runner executes the existing Precise method.",
    "Precise computes and retains a descriptive analysis from the synthetic source files.",
    "Boombox retains the resulting snapshot with a verified content digest."
  ],
  "does_not_prove": [
    "Hosted deployment or cross-company authentication.",
    "Customer performance, causal lift, incremental value, or return on investment.",
    "Execution of Gary or Arranger."
  ],
  "inputs": [
    {
      "file": "source-1.csv",
      "rows": 6,
      "sha256": "f0d5f5d735bd67c8244a8378e5b189e67ac35ae5fe21a78b5687a6af2abf1de9",
      "columns": [
        "campaign_id",
        "campaign_name",
        "conversions",
        "revenue",
        "contribution_value",
        "attribution_model"
      ]
    },
    {
      "file": "source-2.csv",
      "rows": 7,
      "sha256": "3ff3a89dd3cb054fafca708611289fc66ee195c32efa9e9290d477f106e63543",
      "columns": [
        "audience_segment_id",
        "audience_segment_name",
        "contribution_value",
        "attribution_model"
      ]
    },
    {
      "file": "source-3.csv",
      "rows": 91,
      "sha256": "67ccb8ef4bb8c4a8a55b17799ec1e1ae0f69860596acd787f73248ef0c37f2d4",
      "columns": [
        "report_row_id",
        "campaign_id",
        "campaign_name",
        "audience_segment_id",
        "audience_segment_name",
        "publisher_id",
        "publisher_name",
        "dsp_id",
        "dsp_name",
        "creative_id",
        "creative_name",
        "supply_path_name",
        "placement_name",
        "device_name",
        "geo_name",
        "impressions",
        "gross_unique_reach",
        "net_unique_reach",
        "frequency",
        "viewable_impressions",
        "viewability_rate",
        "video_starts",
        "video_completes",
        "completion_rate",
        "clicks",
        "spend",
        "platform_fee",
        "currency"
      ]
    },
    {
      "file": "source-4.csv",
      "rows": 6,
      "sha256": "872b5d39a0d652160a6649b8ef66247454ae22ff810bfba87a46824b1e449887",
      "columns": [
        "campaign_id",
        "campaign_name",
        "brand_name",
        "plan_name",
        "line_item_id",
        "line_item_name",
        "budget",
        "targeting_rule"
      ]
    },
    {
      "file": "source-5.csv",
      "rows": 6,
      "sha256": "7c45cddbf729144b36ad7c350228829b6939e7ff9c39d0c62a3e029728bb4675",
      "columns": [
        "campaign_id",
        "setting",
        "setting_value"
      ]
    }
  ],
  "input_rows": 116,
  "rows": [
    {
      "campaign": "Online video \u00b7 consideration",
      "spend": 20862.79,
      "plan": 18720,
      "reported_orders": 1080,
      "source_model_output": 215,
      "attention_level": "declared_limit_exceeded",
      "triggers": [
        "spend_over_plan"
      ]
    },
    {
      "campaign": "CTV prospecting \u00b7 Northeast",
      "spend": 19269.22,
      "plan": 21240,
      "reported_orders": 1340,
      "source_model_output": 420,
      "attention_level": "no_flag",
      "triggers": []
    },
    {
      "campaign": "Display retargeting \u00b7 cart viewers",
      "spend": 16982.79,
      "plan": 18270,
      "reported_orders": 760,
      "source_model_output": -138,
      "attention_level": "no_flag",
      "triggers": []
    },
    {
      "campaign": "Contextual native prospecting",
      "spend": 13409.4,
      "plan": 15600,
      "reported_orders": 630,
      "source_model_output": 66,
      "attention_level": "no_flag",
      "triggers": []
    },
    {
      "campaign": "Mobile loyalty expansion",
      "spend": 12125.45,
      "plan": 16650,
      "reported_orders": 570,
      "source_model_output": -94,
      "attention_level": "population_fact_flagged",
      "triggers": [
        "largest_spend_under_plan",
        "highest_reported_frequency"
      ]
    },
    {
      "campaign": "Streaming audio reach",
      "spend": 11214.42,
      "plan": 13770,
      "reported_orders": 310,
      "source_model_output": -18,
      "attention_level": "population_fact_flagged",
      "triggers": [
        "lowest_reported_conversions_per_1000_spend"
      ]
    }
  ],
  "authority": {
    "activation": "none",
    "causal_effect": "none",
    "incremental_effect": "none",
    "interpretation": "descriptive_only",
    "raw_identifier_values_returned": false,
    "raw_rows_returned": false,
    "recommendation": "none"
  },
  "model_note": "Contribution values in this table are model output supplied in the synthetic source; they are not causal effects computed by this run."
}