--- v23/common/metrics.proto 2026-06-18 21:38:44.000000000 +0000 +++ v24/common/metrics.proto 2026-06-18 21:38:55.000000000 +0000 @@ -252,6 +252,10 @@ // The number of clicks. optional int64 clicks = 131; + // The number of clicks on the control arm of an experiment. + // The treatment clicks value can be selected by using `clicks`. + optional int64 control_clicks = 443; + // The number of times your ad or your site's listing in the unpaid // results was clicked. See // [About measuring paid and organic search @@ -1439,6 +1443,381 @@ // The number of biddable first in app conversions where the app install was // driven by interaction with a web campaign. optional int64 biddable_indirect_install_first_in_app_conversion_micros = 426; + + // All average cart size is the average number of products in each order + // attributed to your ads. Includes the amount from the average_cart_size + // metric, plus avg. cart size from all your conversion actions, even if your + // campaigns are not actively optimizing towards them. It's calculated using + // product info from cart data to give more detail than conversion value + // alone. + optional double all_average_cart_size = 427; + + // All average order value is the average revenue you made per order + // attributed to your ads. Includes the amount from the average_order_value + // metric, plus avg. order value from all your conversion actions, even + // if your campaigns are not actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_average_order_value_micros = 428; + + // All cost of goods sold is the total cost of the products you sold in orders + // attributed to your ads. Includes the amount from the + // cost_of_goods_sold_micros metric, plus cost of goods sold from all + // conversion actions, even if your campaigns are not actively optimizing + // towards them. It's calculated using product info from cart data to give + // more detail than conversion value alone. + optional int64 all_cost_of_goods_sold_micros = 429; + + // All cross-sell cost of goods sold is the total cost of products sold as a + // result of advertising a different product. Includes the amount from the + // cross_sell_cost_of_goods_sold_micros metric, plus cross-sell cost of goods + // sold from all your conversion actions, even if your campaigns are not + // actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_cross_sell_cost_of_goods_sold_micros = 430; + + // All cross-sell gross profit is the profit you made from products sold as a + // result of advertising a different product, minus cost of goods sold (COGS). + // Includes the amount from the cross_sell_gross_profit_micros metric, plus + // cross-sell gross profit from all your conversion actions, even if your + // campaigns are not actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_cross_sell_gross_profit_micros = 431; + + // All cross-sell revenue is the total amount you made from products sold as + // a result of advertising a different product. Includes the amount from the + // cross_sell_revenue_micros metric, plus cross-sell revenue from all your + // conversion actions, even if your campaigns are not actively optimizing + // towards them. It's calculated using product info from cart data to give + // more detail than conversion value alone. + optional int64 all_cross_sell_revenue_micros = 432; + + // All cross-sell units sold is the total number of products sold as a result + // of advertising a different product. Includes the amount shown in the + // cross_sell_units_sold metric, plus cross-sell units sold from all your + // conversion actions, even if your campaigns are not actively optimizing + // towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional double all_cross_sell_units_sold = 433; + + // All gross profit margin is the percentage gross profit you made from + // orders attributed to your ads, after taking out the cost of goods sold + // (COGS). This value is between 0.0 and 1.0, where 1.0 means 100%. Includes + // the amount from the gross_profit_margin metric, plus gross profit margin + // across all conversion actions, even if your campaigns are not actively + // optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional double all_gross_profit_margin = 434; + + // All gross profit is the total profit made from orders attributed to your + // ads minus the cost of goods sold (COGS). Includes the amount from the + // gross_profit_micros metric, plus gross profit from all your conversion + // actions, even if your campaigns are not actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_gross_profit_micros = 435; + + // All lead cost of goods sold is the total cost of products sold as a result + // of advertising the same product. Includes the amount shown in the + // lead_cost_of_goods_sold_micros metric, plus lead cost of goods sold from + // all your conversion actions, even if your campaigns are not actively + // optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_lead_cost_of_goods_sold_micros = 436; + + // All lead gross profit is the profit you made from products sold as a result + // of advertising the same product, minus cost of goods sold (COGS). Includes + // the amount from the lead_gross_profit_micros metric, plus lead gross profit + // from all your conversion actions, even if your campaigns are not actively + // optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_lead_gross_profit_micros = 437; + + // All lead revenue is the total amount you made from products sold as a + // result of advertising the same product. Includes the amount shown in the + // lead_revenue_micros metric, plus lead revenue from all your conversion + // actions, even if your campaigns are not actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_lead_revenue_micros = 438; + + // All lead units sold is the total number of products sold as a result of + // advertising the same product. Includes the amount shown in the + // lead_units_sold metric, plus lead units sold from all your conversion + // actions, even if your campaigns are not actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional double all_lead_units_sold = 439; + + // All orders is total number of purchase conversions attributed to your ads. + // Includes the amount from the orders metric, plus orders from all your + // conversion actions, even if your campaigns are not actively optimizing + // towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional double all_orders = 440; + + // All revenue is the total you made from orders attributed to your ads. + // Includes the amount from the revenue_micros metric, plus revenue from all + // your conversion actions, even if your campaigns are not actively optimizing + // towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional int64 all_revenue_micros = 441; + + // All units sold is the total number of products sold from orders attributed + // to your ads. Includes the amount from the units_sold metric, plus + // units sold from all your conversion actions, even if your campaigns are not + // actively optimizing towards them. + // It's calculated using product info from cart data to give more detail than + // conversion value alone. + optional double all_units_sold = 442; + + // The cost per conversion metric on the control arm of the + // experiment. The treatment cost per conversion value can be + // selected by using `cost_per_conversion`. + optional double control_cost_per_conversion = 446; + + // The margin of error when estimating the experiment's effect on cost per + // conversion. + // + // Together with `cost_per_conversion_change_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at + // `cost_per_conversion_change_point_estimate`. + optional double cost_per_conversion_margin_of_error = 447; + + // The p-value for the null hypothesis that the experiment has no effect on + // cost per conversion. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on cost per conversion, is 3%. + optional double cost_per_conversion_p_value = 448; + + // The point estimate when estimating the experiment's effect on cost per + // conversion change. + // + // Together with `cost_per_conversion_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: + // `(cost_per_conversion_change_point_estimate - + // cost_per_conversion_margin_of_error, + // cost_per_conversion_change_point_estimate + + // cost_per_conversion_margin_of_error)`. + optional double cost_per_conversion_change_point_estimate = 449; + + // The conversions metric on the control arm of the experiment. + // The treatment conversions value can be selected by using + // `conversions`. + optional double control_conversions = 450; + + // The margin of error when estimating the experiment's effect on conversions + // absolute change. + // + // Together with `conversions_absolute_change_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment - control). This field specifies the radius of the confidence + // interval, which is centered at + // `conversions_absolute_change_point_estimate`. + optional double conversions_absolute_change_margin_of_error = 451; + + // The p-value for the null hypothesis that the experiment has no effect on + // conversions absolute change. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on conversions absolute change, is + // 3%. + optional double conversions_absolute_change_p_value = 452; + + // The point estimate when estimating the experiment's effect on conversions + // absolute change. + // + // Together with `conversions_absolute_change_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment - control). This field specifies the point estimate, which is + // the center of the confidence interval: + // `(conversions_absolute_change_point_estimate - + // conversions_absolute_change_margin_of_error, + // conversions_absolute_change_point_estimate + + // conversions_absolute_change_margin_of_error)`. + optional double conversions_absolute_change_point_estimate = 453; + + // The conversion value per cost metric on the control arm of the + // experiment. The treatment conversion value per cost value can be + // selected by using `conversions_value_per_cost`. + optional double control_conversion_value_per_cost = 454; + + // The margin of error when estimating the experiment's effect on + // conversion value per cost. + // + // Together with `conversion_value_per_cost_change_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at + // `conversion_value_per_cost_change_point_estimate`. + optional double conversion_value_per_cost_margin_of_error = 455; + + // The p-value for the null hypothesis that the experiment has no effect on + // conversion value per cost. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on conversion value per cost, is 3%. + optional double conversion_value_per_cost_p_value = 456; + + // The point estimate when estimating the experiment's effect on + // conversion value per cost change. + // + // Together with `conversion_value_per_cost_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: + // `(conversion_value_per_cost_change_point_estimate - + // conversion_value_per_cost_margin_of_error, + // conversion_value_per_cost_change_point_estimate + + // conversion_value_per_cost_margin_of_error)`. + optional double conversion_value_per_cost_change_point_estimate = 457; + + // The cost metric on the control arm of the experiment. + // The treatment cost value can be selected by using `cost_micros`. + optional int64 control_cost_micros = 458; + + // The margin of error when estimating the experiment's effect on cost. + // + // Together with `cost_micros_change_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at + // `cost_micros_change_point_estimate`. + optional double cost_micros_margin_of_error = 459; + + // The p-value for the null hypothesis that the experiment has no effect on + // cost. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on cost, is 3%. + optional double cost_micros_p_value = 460; + + // The point estimate when estimating the experiment's effect on cost change. + // + // Together with `cost_micros_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: + // `(cost_micros_change_point_estimate - cost_micros_margin_of_error, + // cost_micros_change_point_estimate + cost_micros_margin_of_error)`. + optional double cost_micros_change_point_estimate = 461; + + // The impressions metric on the control arm of the experiment. + // The treatment impressions value can be selected by using `impressions`. + optional int64 control_impressions = 462; + + // The margin of error when estimating the experiment's effect on impressions. + // + // Together with `impressions_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at + // `impressions_point_estimate`. + optional double impressions_margin_of_error = 463; + + // The p-value for the null hypothesis that the experiment has no effect on + // impressions. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on impressions, is 3%. + optional double impressions_p_value = 464; + + // The point estimate when estimating the experiment's effect on impressions. + // + // Together with `impressions_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: + // `(impressions_point_estimate - impressions_margin_of_error, + // impressions_point_estimate + impressions_margin_of_error)`. + optional double impressions_point_estimate = 465; + + // The margin of error when estimating the experiment's effect on clicks. + // + // Together with `clicks_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at `clicks_point_estimate`. + optional double clicks_margin_of_error = 466; + + // The p-value for the null hypothesis that the experiment has no effect on + // clicks. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on clicks, is 3%. + optional double clicks_p_value = 467; + + // The point estimate when estimating the experiment's effect on clicks. + // + // Together with `clicks_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: `(clicks_point_estimate - + // clicks_margin_of_error, + // clicks_point_estimate + clicks_margin_of_error)`. + optional double clicks_point_estimate = 468; + + // The conversion value metric on the control arm of the experiment. + // The treatment conversion value can be selected by using + // `conversions_value`. + optional double control_conversion_value = 469; + + // The margin of error when estimating the experiment's effect on + // conversion value. + // + // Together with `conversion_value_change_point_estimate`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the radius of the + // confidence interval, which is centered at + // `conversion_value_change_point_estimate`. + optional double conversion_value_margin_of_error = 470; + + // The p-value for the null hypothesis that the experiment has no effect on + // conversion value. Ranges from 0 to 1. + // + // Say if the p-value is 0.03, that means the probability of observing the + // data, if the experiment has no effect on conversion value, is 3%. + optional double conversion_value_p_value = 471; + + // The point estimate when estimating the experiment's effect on + // conversion value change. + // + // Together with `conversion_value_margin_of_error`, + // they describe a confidence interval with a prescribed confidence level + // for the difference being estimated. The quantity being estimated is + // (treatment / control - 1). This field specifies the point estimate, which + // is the center of the confidence interval: + // `(conversion_value_change_point_estimate - + // conversion_value_margin_of_error, + // conversion_value_change_point_estimate + + // conversion_value_margin_of_error)`. + optional double conversion_value_change_point_estimate = 472; } // Search volume range.
/common/metrics.proto
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Last updated 2026-06-19 UTC.