{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/core/delivery-metrics.json", "title": "Delivery Metrics", "description": "Standard delivery metrics that can be reported at media buy, package, or creative level", "type": "object", "properties": { "impressions": { "type": "number", "description": "Impressions delivered", "minimum": 0 }, "spend": { "type": "number", "description": "Amount spent", "minimum": 0 }, "clicks": { "type": "number", "description": "Total clicks", "minimum": 0 }, "ctr": { "type": "number", "description": "Click-through rate (clicks/impressions)", "minimum": 0, "maximum": 1 }, "views": { "type": "number", "description": "Content engagements counted toward the billable view threshold. For video this is a platform-defined view event (e.g., 30 seconds or video midpoint); for audio/podcast it is a stream start; for other formats it follows the pricing model's view definition. When the package uses CPV pricing, spend = views × rate.", "minimum": 0 }, "completed_views": { "type": "number", "description": "Video/audio completions. When the package has a completed_views optimization goal with view_duration_seconds, completions are counted at that threshold rather than 100% completion.", "minimum": 0 }, "completion_rate": { "type": [ "number", "null" ], "description": "Completion rate (completed_views/impressions). Null indicates the metric is not applicable to this package/buy (e.g. completion rate on a non-video buy).", "minimum": 0, "maximum": 1 }, "conversions": { "type": "number", "description": "Total conversions attributed to this delivery. When by_event_type is present, this equals the sum of all by_event_type[].count entries.", "minimum": 0 }, "conversion_value": { "type": "number", "description": "Total monetary value of attributed conversions (in the reporting currency)", "minimum": 0 }, "commissionable_value": { "type": "number", "description": "Settled portion of attributed conversion value eligible for revenue-share commission, in the reporting currency. For revenue_share pricing, spend = round_currency(commissionable_value × commission_rate). This is distinct from conversion_value because taxes, shipping, discounts, returns, cancellations, or ineligible items may be excluded under the agreed commission basis.", "minimum": 0 }, "roas": { "type": "number", "description": "Return on ad spend (conversion_value / spend)", "minimum": 0 }, "cost_per_acquisition": { "type": "number", "description": "Cost per conversion (spend / conversions)", "minimum": 0 }, "new_to_brand_rate": { "type": "number", "description": "Fraction of `conversions` (transactions) from first-time brand buyers, 0 = none, 1 = all. For retail-media unit-volume tracking of first-time buyers, see `new_to_brand_units` (count, not rate).", "minimum": 0, "maximum": 1 }, "leads": { "type": "number", "description": "Leads generated (convenience alias for by_event_type where event_type='lead')", "minimum": 0 }, "incremental_sales_lift": { "type": "number", "description": "Incremental sales lift attributed to the campaign — sales above the control/holdout baseline. Reported as a fraction (0.15 = 15% lift) or as an absolute value depending on seller convention. The seller's `attribution_methodology` qualifier (typically `deterministic_purchase` or `modeled`) and `attribution_window` qualifier on the matching `committed_metrics` entry disambiguate the methodology and window.", "minimum": 0 }, "brand_lift": { "type": "number", "description": "Brand lift — measured change in a brand metric (awareness, consideration, favorability, purchase intent, or ad recall) attributed to the campaign. Typically panel-based or survey-based. Reported as a fraction (0.05 = 5% lift). **Multidimensional in production** — Kantar, Upwave, Cint, DV all report each dimension separately with its own sample size and confidence interval. The dimension flows through `qualifier.lift_dimension` on `committed_metrics` / `metric_aggregates` (`awareness` | `consideration` | `favorability` | `purchase_intent` | `ad_recall`); rows under different dimensions are different surveyed outcomes and must not be combined. Use `attribution_methodology: 'panel_based'` qualifier when the underlying methodology is a panel.", "minimum": 0 }, "foot_traffic": { "type": "number", "description": "Store visits attributed to ad exposure. Count of incremental visits over baseline. Typically uses location-data panel methodology (`attribution_methodology: 'panel_based'`) or deterministic loyalty-card match (`attribution_methodology: 'deterministic_purchase'`).", "minimum": 0 }, "conversion_lift": { "type": "number", "description": "Incremental conversions attributed to the campaign — conversions above the control/holdout baseline. Reported as a fraction (0.10 = 10% lift) or as an absolute count depending on seller convention. Distinct from `conversions` (raw count of attributed conversions); conversion_lift requires a control group and an incrementality methodology.", "minimum": 0 }, "brand_search_lift": { "type": "number", "description": "Lift in brand search query volume attributed to the campaign — measured via search-data partnerships (Google, Microsoft) or survey methodology. Reported as a fraction (0.20 = 20% lift in branded search).", "minimum": 0 }, "plays": { "type": "number", "description": "Number of times the ad creative was displayed on a DOOH screen or played in a loop. Raw play count before any impression multiplier is applied. Mirrors `forecastable-metric.json`'s `plays` token for forecast↔delivery reconciliation. Distinct from `dooh_metrics.loop_plays` (per-screen rotation count) and from `impressions` (multiplied audience figure). Used for DOOH and broadcast inventory where buyers reconcile against forecast `plays`.", "minimum": 0 }, "measurement_source": { "type": "string", "maxLength": 64, "pattern": "^[a-z0-9_]+$", "description": "Third-party measurement provider whose data produced this row's audience numbers. Mirrors delivery-forecast.json's measurement_source so forecast and delivery reconcile on the same declaration — distinct from demographic_system, which specifies demographic notation. Makes measured-channel rows (radio, broadcast, OOH) self-describing: a reconciliation join can tie delivered numbers to the system that measured them without consulting out-of-band context. Lowercase slug format.", "examples": [ "nielsen", "nielsen_audio", "videoamp", "comscore", "geopath", "barb", "agf", "oztam", "kantar", "barc", "route", "rajar", "triton" ] }, "by_event_type": { "type": "array", "description": "Conversion metrics broken down by event type. Spend-derived metrics (ROAS, CPA) are only available at the package/totals level since spend cannot be attributed to individual event types.", "items": { "type": "object", "properties": { "event_type": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/event-type.json", "description": "The event type" }, "event_source_id": { "type": "string", "description": "Event source that produced these conversions (for disambiguation when multiple event sources are configured)" }, "count": { "type": "number", "description": "Number of events of this type", "minimum": 0 }, "value": { "type": "number", "description": "Total monetary value of events of this type", "minimum": 0 } }, "required": [ "event_type", "count" ], "additionalProperties": true } }, "grps": { "type": "number", "description": "Gross Rating Points delivered (for CPP)", "minimum": 0 }, "reach": { "type": "number", "description": "Unique reach in the units specified by reach_unit. When reach_unit is omitted, units are unspecified — do not compare reach values across packages or media buys without a common reach_unit. The measurement window for this value is declared in `reach_window`; when `reach_window` is omitted, the window is unspecified and buyers MUST NOT sum reach across reports (the value MAY be a daily snapshot, a cumulative total, or something else).", "minimum": 0 }, "reach_unit": { "allOf": [ { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/reach-unit.json" } ], "description": "Unit of measurement for the reach field. Aligns with the reach_unit declared on optimization goals and delivery forecasts. Required when reach is present to enable cross-platform comparison." }, "reach_window": { "type": "object", "description": "Measurement window for the reported `reach` and `frequency` values in this row. Declares whether the values are a per-period snapshot, a trailing rolling window, or cumulative-to-date — without this declaration, buyers summing `reach` across rows (e.g., daily delivery reports) can silently double-count audiences. Sellers SHOULD populate this whenever `reach` is present.", "properties": { "kind": { "type": "string", "enum": [ "cumulative", "period", "rolling" ], "description": "Window semantics. `cumulative` — uniques since campaign start; the value is the total unique count to date and MUST NOT be summed across rows (each later row supersedes the earlier value). `period` — uniques within a single non-overlapping reporting period (e.g., a daily snapshot for a specific calendar day). Adjacent `period` rows do not share audiences by construction, but the same person MAY appear across multiple periods, so MUST NOT be summed across rows to compute campaign reach. `rolling` — uniques within a trailing window ending at the row's reporting timestamp (e.g., trailing-7-day reach). Adjacent rolling rows overlap and MUST NOT be summed; each row's value stands alone." }, "period": { "allOf": [ { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/core/duration.json" } ], "description": "Duration of the measurement window. REQUIRED when `kind` is `period` or `rolling` — declares the snapshot length (e.g., `{\"interval\": 1, \"unit\": \"days\"}` for a daily snapshot) or the trailing-window length (e.g., `{\"interval\": 7, \"unit\": \"days\"}` for trailing-7-day rolling reach). When `kind` is `cumulative`, this field is implicit (campaign-to-date) and SHOULD be omitted." } }, "required": [ "kind" ], "allOf": [ { "if": { "properties": { "kind": { "enum": [ "period", "rolling" ] } }, "required": [ "kind" ] }, "then": { "required": [ "period" ] } } ], "additionalProperties": true }, "frequency": { "type": "number", "description": "Average frequency per reach unit, measured over the window declared in `reach_window`. When `reach_unit` is 'households', this is average exposures per household; when 'accounts', per logged-in account; etc. When `reach_window` is omitted, the window is unspecified — buyers MUST NOT compare or average frequency values across rows.", "minimum": 0 }, "quartile_data": { "type": [ "object", "null" ], "description": "Audio/video quartile completion data. Null indicates the metric is not applicable to this package/buy (e.g. quartile data on a non-video buy). Individual quartiles are addressable via the leaf metric identities `quartile_25` (q1_views), `quartile_50` (q2_views), `quartile_75` (q3_views), and `quartile_100` (q4_views) for declaration, commitments, aggregates, and breakdown sorting; this object remains the canonical carrier of the values. Quartiles are player-fired events (VAST firstQuartile/midpoint/thirdQuartile/complete). `quartile_100` counts 100%-of-duration completions and is distinct from `completed_views`, which counts completions at the seller's billable view threshold (`view_duration_seconds`) when one is set.", "properties": { "q1_views": { "type": "number", "description": "25% completion views", "minimum": 0 }, "q2_views": { "type": "number", "description": "50% completion views", "minimum": 0 }, "q3_views": { "type": "number", "description": "75% completion views", "minimum": 0 }, "q4_views": { "type": "number", "description": "100% completion views", "minimum": 0 } } }, "time_based_views": { "type": "array", "description": "Time-threshold video view counts. Each entry reports views that met a continuous duration threshold under a stated basis, rather than a completion percentage (percentage-based completion is quartile_data). Thresholds of 2 and 6 seconds are RECOMMENDED cross-platform reporting points; any seller-defined threshold is permitted. One entry per (threshold_seconds, basis) pair per reporting period — sellers MUST de-duplicate before emission and MUST NOT emit the same pair twice; buyers MAY treat duplicate pairs as a seller-side conformance bug. Entries under different bases are different metrics and MUST NOT be summed (see view-threshold-basis). Primarily an autoplay/skippable-video metric (social, olv, in-feed video); completion metrics remain the currency for lean-back CTV/cinema inventory. Distinct from `views` (the single billable-threshold scalar) and from `viewability.viewed_seconds` (average in-view duration, not a threshold count). Array entries are not individually sortable in breakdown sort_by. Disclosure-grade surface: (threshold_seconds, basis) is not part of the committed-metric qualifier vocabulary, so a `committed_metrics` entry for `time_based_views` contracts the array's presence, not specific thresholds.", "items": { "type": "object", "properties": { "threshold_seconds": { "type": "number", "exclusiveMinimum": 0, "description": "Continuous duration threshold in seconds an impression must meet to count as a view in this entry." }, "basis": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/view-threshold-basis.json", "description": "Whether the threshold clock runs on playback time or in-view time. Required because play-time and in-view counts at the same threshold are materially different numbers." }, "views": { "type": "number", "minimum": 0, "description": "Count of views meeting this entry's threshold and basis." }, "standard": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/viewability-standard.json", "description": "Viewability standard governing the in-view clock for this entry. RECOMMENDED when basis is 'in_view' (MRC and GroupM thresholds differ); not applicable to play_time entries." } }, "required": [ "threshold_seconds", "basis", "views" ], "additionalProperties": true } }, "dooh_metrics": { "type": "object", "description": "DOOH-specific metrics (only included for DOOH campaigns)", "properties": { "loop_plays": { "type": "integer", "description": "Number of times ad played in rotation", "minimum": 0 }, "screens_used": { "type": "integer", "description": "Number of unique screens displaying the ad", "minimum": 0 }, "screen_time_seconds": { "type": "integer", "description": "Total display time in seconds", "minimum": 0 }, "sov_achieved": { "type": "number", "description": "Actual share of voice delivered (0.0 to 1.0)", "minimum": 0, "maximum": 1 }, "calculation_notes": { "type": "string", "description": "Per-row supplementary methodology notes for DOOH impression calculation (e.g., 'rotation-based; 6-second slot weighted by 70% audience overlap'). Free-form prose for context that doesn't fit the structured measurement-vendor surface. Canonical methodology declarations belong on the measurement vendor's `get_adcp_capabilities.measurement.metrics[]` block where they're discoverable once and inherited across delivery rows; this field is for row-specific context (a particular daypart's calculation, a venue-mix exception) rather than the seller's general methodology." }, "venue_breakdown": { "type": "array", "description": "Per-venue performance breakdown", "items": { "type": "object", "properties": { "venue_id": { "type": "string", "description": "Venue identifier" }, "venue_name": { "type": "string", "description": "Human-readable venue name" }, "venue_type": { "type": "string", "description": "Venue type (e.g., 'airport', 'transit', 'retail', 'billboard')" }, "impressions": { "type": "integer", "description": "Impressions delivered at this venue", "minimum": 0 }, "loop_plays": { "type": "integer", "description": "Loop plays at this venue", "minimum": 0 }, "screens_used": { "type": "integer", "description": "Number of screens used at this venue", "minimum": 0 } }, "required": [ "venue_id", "impressions" ], "additionalProperties": true } } }, "additionalProperties": true }, "ooh_metrics": { "type": "object", "x-status": "experimental", "description": "Classic (static) OOH metrics — printed bulletins, posters, transit, and street furniture (only included for ooh campaigns). Experimental in AdCP 3.2. Static units have no play event: the delivery number is a period-level modeled audience estimate whose methodology tier is declared in estimation_basis (provider identity rides the row-level measurement_source), and the settlement artifact is the posting record — it proves the posting period, not an airing.", "properties": { "panels": { "type": "array", "description": "Panels (faces) covered by this row. A panel commonly carries multiple identifiers at once — OOH contracts key line items on the measurement-currency panel number AND the operator's own panel number together.", "items": { "type": "object", "properties": { "identifiers": { "type": "array", "minItems": 1, "description": "All identifiers for this panel, one entry per scheme", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Panel/face identifier within the id_type namespace" }, "id_type": { "type": "string", "enum": [ "geopath", "route_frame", "plant_face", "other" ], "description": "Identifier scheme: geopath (US Geopath Spot ID), route_frame (UK Route frame ID), plant_face (the operator's own panel number — the identifier both sides of a direct contract know), other (markets without a listed scheme). New schemes ship as enum additions in minors." } }, "required": [ "id", "id_type" ], "additionalProperties": true } }, "name": { "type": "string", "description": "Human-readable location description (e.g., 'I-95 N of Exit 12, right-hand read')" } }, "required": [ "identifiers" ], "additionalProperties": true } }, "posting_period_start": { "type": "string", "format": "date", "description": "First in-charge date of the posting period this row covers" }, "posting_period_end": { "type": "string", "format": "date", "description": "Last date of the posting period this row covers" }, "average_posted_date": { "type": "string", "format": "date", "description": "Average actual posting date across the row's units — the date the display term runs from under OAAA Bulletin §2.2 / Poster §3.2(a) when materials were timely. Read with materials_timely to know whether that rule was in force." }, "materials_timely": { "type": "boolean", "description": "Seller's assertion that the buyer delivered acceptable materials by the contractual deadline, which determines whether the §2.2 posting-completion rule (term runs from average posting date) applied. An assertion about the buyer's delivery, not a derived value — it is not recomputable from postings[] evidence, and is the one field in this block that isn't checkable against it." }, "share_of_voice_contracted": { "type": "number", "description": "Contracted share of voice where the buy is rotation-based (e.g., rotary bulletin programs) rather than an exclusive face (0.0 to 1.0)", "minimum": 0, "maximum": 1 }, "illuminated_hours": { "type": "number", "description": "Contracted daily illumination hours for the panels in this row. Determines the measured day-part basis (12/18/24-hour impressions) and the illumination-credit remedy when unmet.", "minimum": 0, "maximum": 24 }, "estimated_impressions": { "type": "integer", "description": "Modeled audience impressions for the panels and period in this row. This is the channel's delivery number — there is no event-counted alternative. The methodology tier MUST be declared in estimation_basis; provider identity is declared in the row-level measurement_source; the billing vendor is declared in measurement_terms.billing_measurement. The row's top-level impressions SHOULD carry the same value so cross-channel aggregation works without channel-specific logic.", "minimum": 0 }, "estimation_basis": { "type": "string", "enum": [ "currency_measured", "seller_modeled" ], "description": "Methodology tier of estimated_impressions: currency_measured (an audience measurement currency's estimate for the panel and period — Geopath, Route, MOVE, COMMB — with the provider named in the row-level measurement_source) or seller_modeled (the seller's own model — the honest fallback for markets without a measurement currency). Tier, not provider: currencies change over time, so provider identity is data on measurement_source, not values in this enum." }, "postings": { "type": "array", "description": "Posting records — the seller-attested settlement artifact proving each panel was posted for the period. Industry convention (OAAA model contracts, Proof of Performance §3.5): photo evidence per bulletin within five calendar days of posting and again after each rotary rotation; one representative close-up photograph per creative design variation for poster showings (no deadline attached). Distinct from the §2.2 posting-completion obligation (posting within five business days of the scheduled date), which governs average_posted_date, not evidence.", "items": { "type": "object", "properties": { "panel_id": { "type": "string", "description": "Panel reference matching one of panels[].identifiers[].id" }, "event_type": { "type": "string", "enum": [ "posted", "rotated", "repaired", "removed" ], "default": "posted", "description": "What the record attests: initial posting, rotary rotation to a new face, repair/reposting after damage, or removal at flight end" }, "occurred_at": { "type": "string", "format": "date", "description": "Date the attested event happened. For posted events this is the posting date — display terms customarily run from the average posting date across units." }, "evidence": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/core/placement-evidence.json", "description": "Evidence artifact for this event (completion photograph); capture time and location ride the artifact" } }, "required": [ "panel_id", "occurred_at" ], "additionalProperties": true } }, "calculation_notes": { "type": "string", "description": "Row-specific methodology context that doesn't fit the structured fields (e.g., a partial-period proration or a market-specific estimate adjustment). Same role as dooh_metrics.calculation_notes — canonical methodology declarations belong on the measurement vendor's discoverable surfaces, not here." } }, "dependencies": { "estimated_impressions": [ "estimation_basis" ] }, "additionalProperties": true }, "viewability": { "type": "object", "description": "Viewability metrics. Viewable rate should be calculated as viewable_impressions / measurable_impressions (not total impressions), since some environments cannot measure viewability. Includes `viewed_seconds` — average in-view duration — plus optional percentile and histogram distributions over that duration; all three use the same `measurable_impressions` population and are governed by the same viewability threshold (`standard`). Sellers SHOULD include `standard` whenever measured viewability values are reported because MRC and GroupM rows are not interchangeable. The numeric leaves are addressable via the leaf metric identities `viewable_rate`, `viewable_impressions`, `measurable_impressions`, and `viewed_seconds` for declaration, commitments, aggregates, and breakdown sorting. The structured distribution carriers require explicit `viewed_seconds_percentiles` and `viewed_seconds_histogram` identities for declaration, commitment, and selection; they are not numeric aggregate rows or sort keys. This object remains the canonical carrier of every value. When a buy reports under more than one standard, contract a specific standard via the `viewability_standard` qualifier on `committed_metrics`; when the package's `committed_metrics` carry a `viewability_standard` qualifier, sellers MUST populate `standard` on reported viewability objects so reconciliation can match the qualifier.", "x-adcp-validation": { "verifier_constraints": { "viewed_seconds_percentile_order": "p25 <= p50 <= p75 <= p90 <= p95", "viewed_seconds_histogram_bounds": "buckets are ordered by lower_bound_seconds; each bounded bucket has upper_bound_seconds > lower_bound_seconds; buckets do not overlap; gaps between buckets are permitted only when zero impressions fall in the gap (enforced by the sum-equals-measurable_impressions rule, not a separate contiguity check); only the final bucket may omit upper_bound_seconds", "viewed_seconds_histogram_population": "sum(bucket.impressions) equals measurable_impressions" }, "spec": "docs/media-buy/media-buys/optimization-reporting.mdx#available-metrics" }, "properties": { "vendor": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/core/brand-ref.json", "description": "Vendor that produced these viewability values. Optional but RECOMMENDED so the row is self-describing — buyer agents reading delivery in isolation can attribute the numbers without joining back to `package.committed_metrics` or `package.performance_standards`. The vendor's `brand.json` `agents[type='measurement']` is the discovery anchor; the metric definitions live on the agent's `get_adcp_capabilities.measurement.metrics[]` block. Same shape as `vendor_metric_value.vendor` for symmetry across vendor-attested surfaces." }, "measurable_impressions": { "type": "number", "description": "Impressions where viewability could be measured. Excludes environments without measurement capability (e.g., non-Intersection Observer browsers, certain app environments). Coverage denominator for `viewable_rate`, `viewed_seconds`, and both viewed-seconds distributions — every duration statistic is computed over this same measurable population.", "minimum": 0 }, "viewable_impressions": { "type": "number", "description": "Impressions that met the viewability threshold defined by the measurement standard.", "minimum": 0 }, "viewable_rate": { "type": "number", "description": "Viewable impression rate (viewable_impressions / measurable_impressions). Range 0.0 to 1.0.", "minimum": 0, "maximum": 1 }, "viewed_seconds": { "type": "number", "description": "Average in-view duration per measurable impression, in seconds. Reporting-side counterpart to the `viewed_seconds` optimization metric in `optimization-goal.json`. Computed over `measurable_impressions`, not total impressions — the same denominator as `viewable_rate`. The viewability `standard` governs the threshold (e.g., MRC's 50% pixels for 1s display / 2s video) that defines when an impression is in view and therefore when the clock is running. Sellers reporting against a `viewed_seconds` optimization goal MUST populate this field.", "minimum": 0 }, "viewed_seconds_percentiles": { "type": "object", "description": "Percentile summary of the per-impression in-view durations whose arithmetic mean is reported in `viewed_seconds`. This object MUST use the same reporting row, measurement vendor, viewability `standard`, and `measurable_impressions` population as `viewed_seconds`; sellers MUST omit it when `measurable_impressions` is zero. Percentiles use the nearest-rank definition: sort the N observed durations in ascending order and select rank `ceil(p × N)` (one-based) for percentile p. Values MUST be non-decreasing from p25 through p95. The structured metric identity `viewed_seconds_percentiles` makes this optional surface discoverable and requestable; it is not sortable and the nested object remains the canonical carrier.", "properties": { "p25": { "type": "number", "description": "25th-percentile in-view duration in seconds.", "minimum": 0 }, "p50": { "type": "number", "description": "Median (50th-percentile) in-view duration in seconds.", "minimum": 0 }, "p75": { "type": "number", "description": "75th-percentile in-view duration in seconds.", "minimum": 0 }, "p90": { "type": "number", "description": "90th-percentile in-view duration in seconds.", "minimum": 0 }, "p95": { "type": "number", "description": "95th-percentile in-view duration in seconds.", "minimum": 0 } }, "required": [ "p25", "p50", "p75", "p90", "p95" ], "additionalProperties": false }, "viewed_seconds_histogram": { "type": "array", "description": "Bucketed counts of the per-impression in-view durations whose arithmetic mean is reported in `viewed_seconds`. Buckets MUST be ordered by ascending lower bound, MUST NOT overlap, and MUST partition every impression in the same `measurable_impressions` population exactly once; therefore the sum of `impressions` MUST equal `measurable_impressions`. Buckets need not be contiguous: a gap between consecutive bucket boundaries is permitted when no impressions fall within that range — the sum constraint enforces this implicitly, and validators MUST NOT independently require contiguity. Each bucket is half-open `[lower_bound_seconds, upper_bound_seconds)`; only the final bucket MAY omit `upper_bound_seconds`, representing an unbounded upper range. Sellers choose boundaries, but buyers MUST combine histograms only when the complete boundary sequence, measurement vendor, and viewability `standard` match. The structured metric identity `viewed_seconds_histogram` makes this optional surface discoverable and requestable; it is not sortable and this nested array remains the canonical carrier.", "minItems": 1, "items": { "type": "object", "properties": { "lower_bound_seconds": { "type": "number", "description": "Inclusive lower bound of this duration bucket, in seconds.", "minimum": 0 }, "upper_bound_seconds": { "type": "number", "description": "Exclusive upper bound of this duration bucket, in seconds. MUST be greater than `lower_bound_seconds`. Omit only on the final bucket to represent an unbounded upper range.", "minimum": 0 }, "impressions": { "type": "integer", "description": "Number of measurable impressions whose in-view duration falls in this bucket.", "minimum": 0 } }, "required": [ "lower_bound_seconds", "impressions" ], "additionalProperties": false } }, "standard": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/viewability-standard.json", "description": "Viewability measurement standard applied to these metrics. Governs the in-view threshold for `viewable_rate`, `viewed_seconds`, and both viewed-seconds distributions." } }, "dependencies": { "viewed_seconds_percentiles": [ "viewed_seconds", "measurable_impressions" ], "viewed_seconds_histogram": [ "viewed_seconds", "measurable_impressions" ] }, "allOf": [ { "if": { "required": [ "viewed_seconds_percentiles" ] }, "then": { "properties": { "measurable_impressions": { "type": "integer", "minimum": 1 } } } }, { "if": { "required": [ "viewed_seconds_histogram" ] }, "then": { "properties": { "measurable_impressions": { "type": "integer" } } } } ], "additionalProperties": true }, "engagements": { "type": "number", "description": "Total engagements — direct interactions with the ad beyond viewing. Includes social reactions/comments/shares, story/unit opens, interactive overlay taps on CTV, companion banner interactions on audio. Platform-specific; corresponds to the 'engagements' optimization metric. Maps to DBCFM KPI_INTERACTIONS (Interaktionen) in the Reporting/Performance block.", "minimum": 0 }, "follows": { "type": "number", "description": "New followers, page likes, artist/podcast/channel follows, or free channel/feed subscribes attributed to this delivery. Paid subscriptions are conversion events with `event_type: subscribe`, not `follows`.", "minimum": 0 }, "saves": { "type": "number", "description": "Saves, bookmarks, playlist adds, pins attributed to this delivery.", "minimum": 0 }, "profile_visits": { "type": "number", "description": "Visits to the brand's in-platform page (profile, artist page, channel, or storefront) attributed to this delivery. Does not include external website clicks.", "minimum": 0 }, "engagement_rate": { "type": "number", "description": "Platform-specific engagement rate (0.0 to 1.0). Typically engagements/impressions, but definition varies by platform.", "minimum": 0, "maximum": 1 }, "cost_per_click": { "type": "number", "description": "Cost per click (spend / clicks)", "minimum": 0 }, "cost_per_completed_view": { "type": "number", "description": "Cost per completed view (spend / completed_views). Primary CPCV pricing scalar for video/audio inventory; the package's `pricing_model` is `cpcv` when this field is the billing basis.", "minimum": 0 }, "cpm": { "type": "number", "description": "Cost per thousand impressions, computed as (spend / impressions) × 1000. Universal pricing scalar across CTV, display, mobile/web video, native, audio, and DOOH inventory; the package's `pricing_model` is `cpm` when this field is the billing basis. Field name aligns with the canonical `cpm` token in `enums/pricing-model.json` and `pricing-options/cpm-option.json` so buyers cross-walk pricing model → reported scalar without a translation table.", "minimum": 0 }, "downloads": { "type": "number", "description": "Audio/podcast downloads (IAB Podcast Measurement Technical Guidelines 2.x methodology). Distinct from `views` — for podcast inventory this is the count of podcast episode downloads; for streaming audio it is the count of stream starts that meet the platform's download threshold. Prefer this over `views` for audio inventory.", "minimum": 0 }, "units_sold": { "type": "number", "description": "Items sold attributed to this delivery. Retail-media scalar distinct from `conversions` — a single conversion (transaction) may carry multiple `units_sold`. Used by retail media platforms where the buyer optimizes against unit movement, not transaction count. Attribution lookback windows are platform-specific (commonly 7/14/30 days, view-through and click-through variants); sellers SHOULD declare the window via `reporting_capabilities.measurement_windows` or `measurement_terms` rather than encoding it in this scalar.", "minimum": 0 }, "new_to_brand_units": { "type": "number", "description": "Units sold to first-time brand buyers (count, not rate). Retail-media scalar — the unit-volume parallel to the conversion-fraction `new_to_brand_rate`. Used by retail media platforms where new-customer acquisition unit volume is a primary KPI. Same attribution-window note as `units_sold` applies.", "minimum": 0 }, "by_action_source": { "type": "array", "description": "Conversion metrics broken down by action source (website, app, in_store, etc.). Useful for omnichannel sellers where conversions occur across digital and physical channels.", "items": { "type": "object", "properties": { "action_source": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/enums/action-source.json", "description": "Where the conversion occurred" }, "event_source_id": { "type": "string", "description": "Event source that produced these conversions (for disambiguation when multiple event sources are configured)" }, "count": { "type": "number", "description": "Number of conversions from this action source", "minimum": 0 }, "value": { "type": "number", "description": "Total monetary value of conversions from this action source", "minimum": 0 } }, "required": [ "action_source", "count" ], "additionalProperties": true } }, "vendor_metric_values": { "type": "array", "description": "Reported values for vendor-defined metrics that the product's `reporting_capabilities.vendor_metrics` declared. Each entry carries the vendor (BrandRef), the metric identifier within the vendor's vocabulary, the value, optional unit, and `measurable_impressions` as the coverage denominator — vendor measurement is rarely 100% of delivered impressions, since vendors only score impressions where their SDK fires or their panel matches. When a declared vendor metric is omitted from this array, buyers infer no measurement happened (no integration). One row per `(vendor.domain, vendor.brand_id, metric_id, qualifier)` per reporting period — the same vendor metric MAY appear in multiple rows only when each carries a distinct qualifier (e.g., 7-day and 30-day attribution windows); sellers MUST de-duplicate before emission and MUST NOT emit two rows with the same tuple; buyers MAY treat duplicate rows as a seller-side conformance bug. The structured `vendor_metric_values` array is the recommended path for vendor metrics; `additionalProperties: true` on this parent object is preserved so existing free-form vendor emissions remain conformant during migration.", "items": { "$ref": "https://adcontextprotocol.org/schemas/3.2.0-beta.7/core/vendor-metric-value.json" } } }, "dependencies": { "reach": [ "reach_unit" ] }, "additionalProperties": true }