--- v24/common/metrics.proto 2026-09-23 01:11:54.000000000 +0000 +++ v25/common/metrics.proto 2026-09-23 01:12:00.000000000 +0000 @@ -1819,6 +1819,334 @@ // conversion_value_change_point_estimate + // conversion_value_margin_of_error)`. optional double conversion_value_change_point_estimate = 472; + + // The estimated number of additional conversions directly attributable to the + // ad campaign. + optional double incremental_conversions = 473; + + // The probability that this experiment arm is the winner for incremental + // conversions. This value is between 0.0 and 1.0. + optional double incremental_conversions_winner_score = 601; + + // The estimated additional conversion value the ads generated. Measures the + // incremental revenue or value from your campaigns. + optional double incremental_conversion_value = 474; + + // The probability that this experiment arm is the winner for incremental + // conversion value. This value is between 0.0 and 1.0. + optional double incremental_conversion_value_winner_score = 602; + + // Represents the number of conversions that would have occurred naturally + // without ad exposure, based on the behavior of the control group. Often + // referred to as "Control" conversions. + optional double conversion_lift_baseline_conversions = 475; + + // Represents the baseline conversion value from users not exposed to the ads. + optional double conversion_lift_baseline_conversion_value = 476; + + // Represents the total conversions from users who were exposed to the ads. + // Also referred to as "Treatment" conversions. + optional double conversion_lift_exposed_conversions = 477; + + // Represents the total conversion value from users exposed to the ads. + optional double conversion_lift_exposed_conversion_value = 478; + + // The estimated cost incurred for each additional conversion generated by the + // campaign. This is the Incremental Cost Per Acquisition (iCPA). + optional double cost_per_incremental_conversion = 479; + + // The probability that this experiment arm is the winner for cost per + // incremental conversion. This value is between 0.0 and 1.0. + optional double cost_per_incremental_conversion_winner_score = 603; + + // The lower bound of the 90% confidence interval for + // cost_per_incremental_conversion. The lowest likely cost you paid per + // incremental conversion. + optional double cost_per_incremental_conversion_p90_lower_bound = 480; + + // The upper bound of the 90% confidence interval for + // cost_per_incremental_conversion. The highest likely cost you paid per + // incremental conversion. + optional double cost_per_incremental_conversion_p90_upper_bound = 481; + + // The lower bound of the 90% confidence interval for + // incremental_conversions. The "conservative" estimate of your success. It is + // the minimum number of additional sales you can be 90% sure were caused by + // your ads. + optional double incremental_conversions_p90_lower_bound = 482; + + // The upper bound of the 90% confidence interval for + // incremental_conversions. The "optimistic" estimate of your success. It is + // the maximum number of additional sales likely driven by your ads. + optional double incremental_conversions_p90_upper_bound = 483; + + // The conversions p-value provides a measure of the statistical significance + // for the detected lift in conversions. It calculates the likelihood that + // your incremental conversions were driven by ad performance rather than + // being a merely random occurrence. + optional double incremental_conversions_p_value = 484; + + // The lower bound of the 90% confidence interval for + // incremental_conversion_value. Shows the minimum amount of extra revenue ($) + // you can be 90% certain was generated by the campaign. + optional double incremental_conversion_value_p90_lower_bound = 485; + + // The upper bound of the 90% confidence interval for + // incremental_conversion_value. The highest amount of extra revenue ($) + // likely generated by the campaign. + optional double incremental_conversion_value_p90_upper_bound = 486; + + // The conversions value p-value provides a measure of the statistical + // significance for the detected lift in conversions value. It calculates the + // likelihood that your incremental conversion value was driven by ad + // performance rather than being a merely random occurrence. + optional double incremental_conversion_value_p_value = 487; + + // The incremental return on ad spend (iROAS), calculated as the additional + // conversion value generated per unit of campaign cost. Measures the return + // on your ad spend in terms of incremental value. + optional double incremental_conversion_value_per_cost = 488; + + // The probability that this experiment arm is the winner for incremental + // conversion value per cost. This value is between 0.0 and 1.0. + optional double incremental_conversion_value_per_cost_winner_score = 604; + + // The lower bound of the 90% confidence interval for incremental conversion + // value per cost. The "Guaranteed" return. Even if the data is noisy, you can + // be 90% sure your return was at least this high. + optional double incremental_conversion_value_per_cost_p90_lower_bound = 489; + + // The upper bound of the 90% confidence interval for incremental conversion + // value per cost. The "Potential" return. The maximum likely revenue + // generated for every dollar spent. + optional double incremental_conversion_value_per_cost_p90_upper_bound = 490; + + // The percentage increase in conversions in the exposed group compared to the + // control group. + optional double relative_conversion_lift = 491; + + // The lower bound of the 90% confidence interval for + // relative_conversion_lift. The minimum percentage increase you can be 90% + // sure occurred. + optional double relative_conversion_lift_p90_lower_bound = 492; + + // The upper bound of the 90% confidence interval for + // relative_conversion_lift. The maximum percentage increase you can be 90% + // sure occurred. + optional double relative_conversion_lift_p90_upper_bound = 493; + + // The percentage increase in conversion value in the exposed group compared + // to the control group. + optional double relative_conversion_value_lift = 494; + + // The lower bound of the 90% confidence interval for + // relative_conversion_value_lift. The lowest likely percentage of incremental + // revenue the ads generated. + optional double relative_conversion_value_lift_p90_lower_bound = 495; + + // The upper bound of the 90% confidence interval for + // relative_conversion_value_lift. The highest likely percentage of + // incremental revenue the ads generated. + optional double relative_conversion_value_lift_p90_upper_bound = 496; + + // These metrics estimate the additional brand lift directly attributable to + // the ad campaign. + optional double absolute_brand_lift = 497; + + // Lower bound of the 90% confidence interval for absolute brand lift. + // The "conservative" estimate of your success. It is the minimum increase + // you can be 90% sure was caused by your ads. + optional double absolute_brand_lift_p90_lower_bound = 498; + + // Upper bound of the 90% confidence interval for absolute brand lift. + // The "optimistic" estimate of your success. It is the maximum increase + // likely driven by your ads. + optional double absolute_brand_lift_p90_upper_bound = 499; + + // The p-value provides a measure of the statistical significance for the + // detected brand lift. It calculates the likelihood that your incremental + // lift was driven by ad performance rather than being a merely random + // occurrence. Achieving a low score of 0.10 indicates 90% + // confidence that your advertising efforts directly generated the additional + // lift. + optional double absolute_brand_lift_p_value = 500; + + // Represents the rate of positive responses that would have occurred + // naturally without ad exposure, based on the behavior of the control group. + // Also referred to as "Control" responses. Provides the baseline + // level of brand perception that occurred naturally. + optional double brand_lift_baseline_positive_response_rate = 501; + + // Lower bound of the 90% confidence interval for the baseline positive + // response rate. Represents the conservative baseline rate of positive brand + // responses you could expect naturally without ad exposure. + optional double brand_lift_baseline_positive_response_rate_p90_lower_bound = + 502; + + // Upper bound of the 90% confidence interval for the baseline positive + // response rate. Represents the optimistic baseline rate of positive brand + // responses expected naturally without ad exposure. + optional double brand_lift_baseline_positive_response_rate_p90_upper_bound = + 503; + + // Estimated unique users showing interest in the exposed group. This value is + // "fractional" because it represents a statistical estimate rather than a + // raw headcount. + optional double brand_lift_exposed_positive_responder_fractional_cookies = + 504; + + // The lower bound of the 90% confidence interval for the estimated number of + // unique cookies within the ad-exposed group that are estimated to have a + // positive brand attitude, as measured by the Brand Lift survey. + optional double + brand_lift_exposed_positive_responder_fractional_cookies_p90_lower_bound = + 505; + + // The upper bound of the 90% confidence interval for the estimated number of + // unique cookies within the ad-exposed group that are estimated to have + // experienced a positive shift in brand attitude, as measured by the Brand + // Lift survey. + optional double + brand_lift_exposed_positive_responder_fractional_cookies_p90_upper_bound = + 506; + + // Represents the rate of positive responses from users who were exposed to + // the ads. Also referred to as "Treatment" responses. Shows + // total positive response rate when users were exposed to your ads. + optional double brand_lift_exposed_positive_response_rate = 507; + + // Lower bound of the 90% confidence interval for the exposed positive + // response rate. Represents the conservative estimate of positive brand + // responses among users exposed to your ads. + optional double brand_lift_exposed_positive_response_rate_p90_lower_bound = + 508; + + // Upper bound of the 90% confidence interval for the exposed positive + // response rate. Represents the maximum estimate of positive brand responses + // among users exposed to your ads. + optional double brand_lift_exposed_positive_response_rate_p90_upper_bound = + 509; + + // The number of survey responses from users who were exposed to the ads. + optional double brand_lift_responses_exposed = 510; + + // Brand lift responses suppressed. + optional double brand_lift_responses_suppressed = 511; + + // Estimated unique users showing interest in the control/suppressed group. + // This value is "fractional" because it represents a statistical estimate. + optional double brand_lift_suppressed_positive_responder_fractional_cookies = + 512; + + // Lower bound of the 90% confidence interval for the estimated number of + // fractional cookies within the control group that are categorized as + // positive responders. This lower bound provides a statistically supported + // minimum value for the total fractional cookies in the control group showing + // a positive brand attitude. + optional double + brand_lift_suppressed_positive_responder_fractional_cookies_p90_lower_bound = + 513; + + // Represents the upper bound of the 90% confidence interval for the + // estimated number of fractional cookies within the control group that are + // categorized as positive responders. This upper bound provides a + // statistically supported maximum value for the total fractional cookies in + // the control group showing a positive brand attitude. + optional double + brand_lift_suppressed_positive_responder_fractional_cookies_p90_upper_bound = + 514; + + // The total number of survey responses collected across both the exposed and + // control groups. + optional double brand_lift_total_responses = 515; + + // The estimated cost incurred for each additional person moved to a positive + // brand state by the campaign. Helps assess the + // cost-effectiveness of your ad spend in driving brand growth. + optional double cost_per_lifted_cookie = 516; + + // Lower bound of the 90% confidence interval for the cost per lifted cookie. + // Represents the optimistic (lowest cost) estimate for moving a user to + // a positive brand state. + optional double cost_per_lifted_cookie_p90_lower_bound = 517; + + // Upper bound of the 90% confidence interval for the cost per lifted cookie. + // Represents the conservative (highest cost) estimate for moving a user + // to a positive brand state. + optional double cost_per_lifted_cookie_p90_upper_bound = 518; + + // Estimated number of unique users who were moved to a positive brand state + // directly by the campaign (that is, lifted users). + optional double fractional_lifted_cookies = 519; + + // The lower bound of the 90% confidence interval for the + // fractional_lifted_cookies metric. This value represents a statistically + // conservative estimate of the minimum number of cookies for whom a positive + // Brand Lift is attributed to the ad exposure. + optional double fractional_lifted_cookies_p90_lower_bound = 520; + + // The upper bound of the 90% confidence interval for the + // fractional_lifted_cookies metric. This value represents a statistically + // optimistic estimate of the maximum number of cookies that may have + // experienced a positive Brand Lift. + optional double fractional_lifted_cookies_p90_upper_bound = 521; + + // The increase in positive brand responses relative to the total potential + // growth remaining. + optional double headroom_brand_lift = 522; + + // Lower bound of the 90% confidence interval for headroom brand lift. The + // minimum growth rate relative to remaining brand potential you can be 90% + // confident was driven by your ads. + optional double headroom_brand_lift_p90_lower_bound = 523; + + // Upper bound of the 90% confidence interval for headroom brand lift. The + // maximum growth rate relative to remaining brand potential likely driven by + // your ads. + optional double headroom_brand_lift_p90_upper_bound = 524; + + // The percentage increase in positive responses in the exposed group compared + // to the control group. + optional double relative_brand_lift = 525; + + // The lower bound of the 90% confidence interval for Relative Brand Lift. + // Represents the minimum percentage increase in positive brand perception + // among users who were exposed to the ads, relative to the baseline positive + // response rate observed in the control group. + optional double relative_brand_lift_p90_lower_bound = 526; + + // The upper bound of the 90% confidence interval for Relative Brand Lift. + // Represents the maximum percentage increase in positive brand perception in + // the ad-exposed group, relative to the control group's baseline positive + // response rate, at a 90% confidence level. + optional double relative_brand_lift_p90_upper_bound = 527; + + // The number of comments on YouTube Shorts videos attributed to ad + // impressions. + optional int64 youtube_comments = 528; + + // The number of likes on YouTube Shorts videos attributed to ad impressions. + optional int64 youtube_likes = 529; + + // The number of shares on YouTube Shorts videos attributed to ad impressions. + optional int64 youtube_shares = 530; + + // The original conversion value from biddable conversions. This is the + // unadjusted value of conversions before any value rule adjustments, such as + // conversion value rules or lifecycle goals adjustments are applied. + optional double original_conversion_value = 531; + + // Potential impressions representing the total view-capped eligible + // impressions available across the query context. + optional int64 vertical_ads_potential_impressions = 532; + + // Click-weighted average daily rate in micros, including taxes and fees, over + // the total length of stay. + optional int64 vertical_ads_average_booking_value_micros = 533; + + // Percentage delta comparing the advertiser's offered price against the + // lowest competing price for the same property. + optional double vertical_ads_price_difference_percentage = 534; } // Search volume range.
/common/metrics.proto
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2026-09-24。
[null,null,["最后更新时间 (UTC):2026-09-24。"],[],[]]