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# GetAdAnalytics200ResponseAnalyticsDailyInner

Properties

Name Type Description Notes
spend float [optional]
impressions int [optional]
reach int [optional]
clicks int [optional]
ctr float Click-through rate (%) [optional]
cpc float Cost per click [optional]
cpm float Cost per 1000 impressions [optional]
engagement int [optional]
conversions int Count of conversion events matching the campaign's promoted_object.custom_event_type (PURCHASE, LEAD, etc.) over the requested date range. 0 for non-conversion campaigns or when no events have fired. Meta-only at time of writing; other platforms return 0. [optional]
cost_per_conversion float Derived spend / conversions in the same currency as spend. 0 when conversions is 0. [optional]
actions array<string,int> Raw per-action-type counts from Meta's Insights actions[] array, summed over the date range. Keys are Meta action_type strings (e.g. link_click, offsite_conversion.fb_pixel_purchase, onsite_conversion.lead_grouped). Use this to extract any conversion event (purchases, leads, add_to_cart, etc.) without relying on the derived conversions field. Empty object when no actions are reported. [optional]
action_values array<string,float> Monetary mirror of `actions`, from Meta's Insights `action_values[]` array. Same keying — values are the revenue attributed to each action_type, in ad-account native currency (same unit as `spend`; see the campaign node's `currency` field). Use this to compute revenue-per-event (e.g. avg purchase value). Meta-only; other platforms return {}. [optional]
purchase_value float Convenience sum of purchase-type action values — picked from `actionValues` via the same priority list as `conversions` so both fields describe the same events. In ad-account native currency. 0 when the campaign has no purchase event configured. Meta-only. [optional]
roas float Return on ad spend — derived as `purchaseValue / spend`. 0 when `spend` is 0. Equivalent to Meta's `purchase_roas` under default attribution. At ad-set and campaign levels this is recomputed from summed purchaseValue + spend (NOT averaged across children) so it's mathematically correct at every rollup level. [optional]
last_synced_at \DateTime Present on individual ads only, not on campaign aggregations [optional]
date \DateTime [optional]

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