Reference Guide

Report metrics

Below are all the metrics that can be extracted from the DAS reporting system.

Metric Table Legend

In the Metric column, you’ll find the official full name of the metric and its short version, along with a description and formula that consistently explains how the metric is calculated.
The Report Name column lists the reports where this metric can be found.

Metric Report name
\n Ad server CTR
ctr

The percentage of impressions served by the ad server that resulted in users clicking on an ad.

$main.filter($EVENT_TYPE == 'adclick').sum($EVENTS_SUM) / $main.filter($EVENT_TYPE == 'filled_emission').sum($EVENTS_SUM)		 📅 Historical,
\n Ad server clicks
adclick

The number of times that users clicked on a creative. A click is recorded even if the user does not actually reach the landing page. For example, if a user clicks on an ad, then closes the browser before the landing page loads, a click is still recorded.

$main.filter($EVENT_TYPE == 'adclick').sum($EVENTS_SUM)		 📅 Historical,
👉 AdClicks
\n Ad server clicks from bots
bot_adclick

The number of times that bots clicked on a creative

$main.filter($EVENT_TYPE == 'bot_adclick').sum($EVENTS_SUM)		 📅 Historical,
👉 AdClicks
\n Ad server clicks invoiced
adclick_invoiced

The number of invoiced AD clicks

$main.filter($EVENT_TYPE == 'adclick' and $INVOICED != '0').sum($EVENTS_SUM)		 📅 Historical
\n Ad server expired clicks
expired_adclick

If the URL to the click was generated later than 30 days ago, it is considered an expire		 📅 Historical
\n Ad server impression unique users
unique_impressions

The estimated number of unique users to whom impressions were delivered. Estimation is based on a count of unique cookies.

$main.filter($EVENT_TYPE == 'filled_emission').countDistinct($UU)		 📅 Historical
\n Ad server impressions
impressions

Impressions counted after the ad is downloaded in the user's device and has begun to load. This doesn't require that the ad content be fully loaded.

$main.filter($EVENT_TYPE == 'filled_emission').sum($EVENTS_SUM)		 📅 Historical,
\n Ad server invalid clicks
invalid_adclick

The number of times that users clicked on a creative and Adserver detects potential abuse eg. for tracking, if the URL provided url is not on the whitelist then it is considered invalid.		 📅 Historical
\n Ad server layout impressions
filled_layout_emission

The number of ad server impressions counted for layouts. Layout impressions and ad impressions of creatives displayed in slots within layout are counted separately

$main.filter($EVENT_TYPE == 'filled_emission' and $COMPOSITION != 'child').sum($EVENTS_SUM)		 📅 Historical
\n Ad server open CTR
ctr_o		 📅 Historical
\n Ad server open rate
open_rate		 📅 Historical
\n Ad server unique users clicks
unique_adclick

The number of unique users who click on ads.

$main.filter($EVENT_TYPE == 'adclick').countDistinct($UU)		 📅 Historical,
👉 AdClicks
\n Ad server unique users clicks by aid
unique_adclick_by_aid

The number of unique users with onet poczta account who click on ads.,
The estimated number of unique users who click on ads. Estimation is based on a count of unique aid in cookies		 📅 Historical,
👉 AdClicks
\n Ad server viewability % viewable impressions
viewable_percent

The percentage of impressions on the site that were viewable out of all measurable impressions		 📅 Historical
\n Ad server viewability measurable impressions
measurable

The total number of impressions that were measurable with viewability. An ad is measurable when the viewability tag is able to capture viewability data about the impression and communicate that data to the adserver.		 📅 Historical
\n Ad server viewability viewable impressions
vis

The number of impressions on the site that were viewable out of all measurable impressions. Viewable impression is counted, when at least 50% of the ad is visible for at least 1 second).		 📅 Historical
\n Ad server viewable CTR
vctr

The percentage of viewable impressions that resulted in users clicking on an ad. Unlike standard CTR, the denominator counts only viewable impressions, so it reflects click performance among ads that were actually seen. Recommended for products billed on a viewable-impression basis (vCPM).

adclick / vis		 📅 Historical
\n Add to cart
add_to_cart		 🎁 Offers statistics
\n Adserver Win Rate
adserver_wins_rate

The percentage of bids when bidder win auction by prebid and 1rd party adserver to total number of requests.		 🌐 Prebid analytics (new)
\n Adserver wins
adserver_wins

The total number of bids when bidder won auction by prebid and 1st party adserver		 🌐 Prebid analytics (new)
\n Auction Win Rate
auction_win_rate

The percentage of bids when bidder win auction to total number of requests.		 🌐 Prebid analytics (new)
\n Auction wins
prebid_auction_wins

The total number of bids when bidder won		 🌐 Prebid analytics (new)
\n Average Order Value
aov

Average order value purchased by the user in the store		 📅 Historical,
➽ Historical omnichannel events
\n Average conversion cost
conversion_cost_avg

The average cost of a conversion event, calculated as the total conversion cost divided by the number of conversions.

$main.filter($EVENT_TYPE == 'conversion').sum($COST) / $main.sum($CONVERSIONS)		 🛒 Conversions (new activity)
\n Avg Adserver Win CPM
avg_adserver_win_cpm

The average bid CPM when bidder wining the auction by prebid and 1st party adserver.		 🌐 Prebid analytics (new)
\n Avg Auction Win CPM
avg_auction_win_cpm

The average bid CPM when bidder wining the auction.		 🌐 Prebid analytics (new)
\n Avg Bid CPM
avg_bid_cpm

The average bid CPM when bidder take part in the auction.		 🌐 Prebid analytics (new)
\n Bid Rate
bid_rate

The percentage of bids when bidder return any ad for auction.		 🌐 Prebid analytics (new)
\n Bid Rate 0$ - 0.05$
prebid_bid_rate_0_0.05_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.05$ - 0.1$
prebid_bid_rate_0.05_0.1_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.1$ - 0.15$
prebid_bid_rate_0.1_0.15_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.15$ - 0.2$
prebid_bid_rate_0.15_0.2_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.2$ - 0.25$
prebid_bid_rate_0.2_0.25_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.25$ - 0.3$
prebid_bid_rate_0.25_0.3_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.3$ - 0.4$
prebid_bid_rate_0.3_0.4_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.4$ - 0.6$
prebid_bid_rate_0.4_0.6_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 0.6$ - 1$
prebid_bid_rate_0.6_1_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 1$ - 3$
prebid_bid_rate_1_3_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate 3$ - 6$
prebid_bid_rate_3_6_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bid Rate greater then 6$
prebid_bid_rate_gt_6_sum

Request count within a specific bid rates range		 🌐 Prebid analytics (new)
\n Bids
bid_ok

The total number of bids. Include record with any Bid Rate and requests without timeouts		 🌐 Prebid analytics (new)
\n Billing requests
billing_requests

The total billing requests		 ➽ ADP Usage Analytics
\n Blended Cost
sum_blended_cost

Blended Cost		 💰 AWS Cost Analytics
\n Bot offer clicks
OFFER_BOT_ADCLICK

Number of clicks which have been performed by a bot.		 🎁 Offers statistics
\n Budget
budget

Budget		 💰 AWS Cost Analytics
\n Budget Spent
budget_spent

The amount of Lineitem Budget that was spent on impressions		 📅 Historical,
➽ Historical omnichannel events
\n COS
cos

Cost of Sale - The value of products purchased by the user in the store		 📅 Historical
\n Conversion
conversion

Number of conversion		 🛒 Conversions (new activity)
\n Conversion rate
cr

The percentage of delivered conversion to ad server clicks.		 📅 Historical,
➽ Historical omnichannel events
\n Conversions (30 days)
potential_conversions

The number of potential conversions that could be monetized if clicks that occurred up to 30 days prior to expected activity were taken into consideration.		 📅 Historical
\n Conversions (deprecated)
conversions

The number of conversions. A conversion takes place when the user performs expected action after clicking an advertisement. Includes conversions from DAS (without MasterTag) and GAM.		 📅 Historical
\n Conversions (new)
new_conversions

The number of conversions from new path of collecting events. A conversion takes place when the user performs expected action after clicking an advertisement. Includes conversions from DAS.Only last click from DAS is counted as conversion.		 📅 Historical,
➽ Historical omnichannel events
\n Conversion cost
conversion_cost_sum

The total cost of conversion events, based on the cost= parameter value of each conversion.

$main.filter($EVENT_TYPE == 'conversion').sum($COST)		 🛒 Conversions (new activity)
\n Cookie reach
reach

The estimated number of unique users. Estimation is based on a count of unique cookies.		 📅 Historical
\n Cost (Activity)
activity_cost

Cost value (cost= parameter) from ADP Activity tags. The aggregated value based on cost= parameter value from your ADP Activity tag.		 📅 Historical
\n Cost value
cost

Total amount you made from orders attributed to your ads.,
Cost metric.

$main.sum($COST),


$main.filter($EVENT_TYPE == 'conversion').sum($COST),
 🛒 Conversions (new activity),
➽ Lamoda - raport zamówień
\n Custom event reach
custom_event_reach

The estimated number of unique users. Estimation is based on a count of unique cookies for a custom event.		 📅 Historical
\n Custom event sum
custom_event_sum

Sum of custom events		 📅 Historical
\n Events
events

Total number of measurement events		 🌐 Prebid analytics (new)
\n Impression conversion rate
icr

The percentage of delivered conversion to ad server clicks.		 📅 Historical
\n Invalid offer clicks
OFFER_INVALID_ADCLICK

Number of clicks that are considered invalid.		 🎁 Offers statistics
\n Inventory
inventory

The total number of ad impressions and unfilled impressions (does not apply to mailing campaigns)

$main.filter($EVENT_TYPE in ['filled_emission', 'unfilled_request'] and $COMPOSITION != 'child').sum($EVENTS_SUM)		 📅 Historical
\n Inventory for mailings
inventory_for_mailings

The total number of ad impressions and unfilled requests (applies only to mailing campaigns)		 📅 Historical
\n Li End Date
li_end_date

This metric represents the latest set Lineitem End Date across the selected dimension.

$main.last($LINEITEM_END_DATE)		 📊 DAS Line item stats
\n Li Max AOV
li_aov_max

This metric represents the $AOV of Li Max AOV across the selected dimension.

$main.max($AOV)		 📊 DAS Line item stats
\n Li Max BBD
li_budget_burn_deviation_max

This metric represents the $BUDGET_BURN_DEVIATION of Li Max BBD across the selected dimension.

$main.max($BUDGET_BURN_DEVIATION)		 📊 DAS Line item stats
\n Li Max Bid Price
li_bid_price_max

This metric represents the $BID_PRICE of Li Max Bid Price across the selected dimension.

$main.max($BID_PRICE)		 📊 DAS Line item stats
\n Li Max CTR
li_ctr_max

This metric represents the $CTR of Li Max CTR across the selected dimension.

$main.max($CTR)		 📊 DAS Line item stats
\n Li Max Clicks
li_adclicks_max

Total line item clicks accumulated over the past 3 months, with the metric being cumulative.

$main.max($ADCLICKS)		 📊 DAS Line item stats
\n Li Max Daily Adclicks
li_daily_adclicks_max

This metric represents the $DAILY_ADCLICKS of Li Max Daily Adclicks across the selected dimension.

$main.max($DAILY_ADCLICKS)		 📊 DAS Line item stats
\n Li Max Daily Goal
daily_goal_max

This metric represents the $DAILY_GOAL of Li Max Daily Goal across the selected dimension.

$main.max($DAILY_GOAL)		 📊 DAS Line item stats
\n Li Max Daily Goal Burn Deviation
daily_goal_burn_deviation_max

This metric represents the $DAILY_GOAL_BURN_DEVIATION of Li Max Daily Goal Burn Deviation across the selected dimension.

$main.max($DAILY_GOAL_BURN_DEVIATION)		 📊 DAS Line item stats
\n Li Max Daily Goal Completion Percent
daily_goal_completion_percent_max

This metric represents the $DAILY_GOAL_COMPLETION_PERCENT of Li Max Daily Goal Completion Percent across the selected dimension.

$main.max($DAILY_GOAL_COMPLETION_PERCENT)		 📊 DAS Line item stats
\n Li Max Daily Goal Consumption
daily_goal_consumption_max

This metric represents the $DAILY_GOAL_CONSUMPTION of Li Max Daily Goal Consumption across the selected dimension.

$main.max($DAILY_GOAL_CONSUMPTION)		 📊 DAS Line item stats
\n Li Max Daily Impressions
li_daily_impressions_max

This metric represents the $DAILY_IMPRESSIONS of Li Max Daily Impressions across the selected dimension.

$main.max($DAILY_IMPRESSIONS)		 📊 DAS Line item stats
\n Li Max Daily Revenue
li_daily_revenue_max

This metric represents the $DAILY_REVENUE of Li Max Daily Revenue across the selected dimension.

$main.max($DAILY_REVENUE)		 📊 DAS Line item stats
\n Li Max ECPM
li_ecpm_max

This metric represents the $ECPM of Li Max ECPM across the selected dimension.

$main.max($ECPM)		 📊 DAS Line item stats
\n Li Max ECPM CPA
li_ecpm_cpa_max

This metric represents the $ECPM_CPA of Li Max ECPM CPA across the selected dimension.

$main.max($ECPM_CPA)		 📊 DAS Line item stats
\n Li Max ECPM CPC
li_ecpm_cpc_max

This metric represents the $ECPM_CPC of Li Max ECPM CPC across the selected dimension.

$main.max($ECPM_CPC)		 📊 DAS Line item stats
\n Li Max ECPM CPM
li_ecpm_cpm_max

This metric represents the $ECPM_CPM of Li Max ECPM CPM across the selected dimension.

$main.max($ECPM_CPM)		 📊 DAS Line item stats
\n Li Max Goal
goal_max

This metric represents the $GOAL of Li Max Goal across the selected dimension.

$main.max($GOAL)		 📊 DAS Line item stats
\n Li Max Goal Burn Deviation
goal_burn_deviation_max

This metric represents the $GOAL_BURN_DEVIATION of Li Max Goal Burn Deviation across the selected dimension.

$main.max($GOAL_BURN_DEVIATION)		 📊 DAS Line item stats
\n Li Max Goal Consumption
goal_consumption_max

This metric represents the $GOAL_CONSUMPTION of Li Max Goal Consumption across the selected dimension.

$main.max($GOAL_CONSUMPTION)		 📊 DAS Line item stats
\n Li Max Goal Expected
goal_expected_max

This metric represents the $GOAL_EXPECTED of Li Max Goal Expected across the selected dimension.

$main.max($GOAL_EXPECTED)		 📊 DAS Line item stats
\n Li Max ICR
li_icr_max

This metric represents the $ICR of Li Max ICR across the selected dimension.

$main.max($ICR)		 📊 DAS Line item stats
\n Li Max Pace Factor
li_pace_factor_max

This metric represents the $PACE_FACTOR of Li Max Pace Factor across the selected dimension.

$main.max($PACE_FACTOR)		 📊 DAS Line item stats
\n Li Max ROAS
li_roas_max

This metric represents the $ROAS of Li Max ROAS across the selected dimension.

$main.max($ROAS)		 📊 DAS Line item stats
\n Li Max TCSC
li_tcsc_max

This metric represents the $TCSC of Li Max TCSC across the selected dimension.

$main.max($TCSC)		 📊 DAS Line item stats
\n Li Max budget estimated
li_budget_estimated_max

This metric represents the $BUDGET_ESTIMATED of Li Max budget estimated across the selected dimension.

$main.max($BUDGET_ESTIMATED)		 📊 DAS Line item stats
\n Li Max budget factor
li_budget_factor_max

This metric represents the $BUDGET_FACTOR.cast of Li Max budget factor across the selected dimension.

$main.max($BUDGET_FACTOR.cast)		 📊 DAS Line item stats
\n Li Max budget real
li_budget_real_max

This metric represents the $BUDGET_REAL of Li Max budget real across the selected dimension.

$main.max($BUDGET_REAL)		 📊 DAS Line item stats
\n Li Max budget spent
li_budget_spent_max

This metric represents the $BUDGET_SPENT of Li Max budget spent across the selected dimension.

$main.max($BUDGET_SPENT)		 📊 DAS Line item stats
\n Li Max budget to spent
li_budget_to_spent_max

This metric represents the $BUDGET_TO_SPENT of Li Max budget to spent across the selected dimension.

$main.max($BUDGET_TO_SPENT)		 📊 DAS Line item stats
\n Li Max budget utilization
li_budget_utilization_max

This metric represents the $REVENUE of Li Max budget utilization across the selected dimension.

$main.max($REVENUE)		 📊 DAS Line item stats
\n Li Max conversion rate
li_conversion_rate_max

This metric represents the $CONVERSION_RATE of Li Max conversion rate across the selected dimension.

$main.max($CONVERSION_RATE)		 📊 DAS Line item stats
\n Li Max conversions
li_conversions_max

This metric represents the $CONVERSIONS of Li Max conversions across the selected dimension.

$main.max($CONVERSIONS)		 📊 DAS Line item stats
\n Li Max floor price
li_floor_price_max

This metric represents the $LINEITEM_FLOOR_PRICE.cast of Li Max floor price across the selected dimension.

$main.max($LINEITEM_FLOOR_PRICE.cast('NUMBER'))		 📊 DAS Line item stats
\n Li Max impressions
li_impressions_max

This metric represents the $IMPRESSIONS of Li Max impressions across the selected dimension.

$main.max($IMPRESSIONS)		 📊 DAS Line item stats
\n Li Max margin
li_margin_max

This metric represents the $REVENUE of Li Max margin across the selected dimension.

$main.max($REVENUE)		 📊 DAS Line item stats
\n Li Max open rate
li_open_rate_max

This metric represents the $OPEN_RATE of Li Max open rate across the selected dimension.

$main.max($OPEN_RATE)		 📊 DAS Line item stats
\n Li Max opens
li_opens_max

This metric represents the $OPENS of Li Max opens across the selected dimension.

$main.max($OPENS)		 📊 DAS Line item stats
\n Li Max profit percent
li_profit_percent_max

This metric represents the $PROFIT_PERCENT of Li Max profit percent across the selected dimension.

$main.max($PROFIT_PERCENT)		 📊 DAS Line item stats
\n Li Max revenue
li_revenue_max

This metric represents the $REVENUE of Li Max revenue across the selected dimension.

$main.max($REVENUE)		 📊 DAS Line item stats
\n Li Max revenue CPA
li_revenue_cpa_max

This metric represents the $REVENUE_CPA of Li Max revenue CPA across the selected dimension.

$main.max($REVENUE_CPA)		 📊 DAS Line item stats
\n Li Max revenue CPC
li_revenue_cpc_max

This metric represents the $REVENUE_CPC of Li Max revenue CPC across the selected dimension.

$main.max($REVENUE_CPC)		 📊 DAS Line item stats
\n Li Max revenue CPM
li_revenue_cpm_max

This metric represents the $REVENUE_CPM of Li Max revenue CPM across the selected dimension.

$main.max($REVENUE_CPM)		 📊 DAS Line item stats
\n Li Max value of purchased
li_value_of_purchased_max

This metric represents the $VALUE_OF_PURCHASED of Li Max value of purchased across the selected dimension.

$main.max($VALUE_OF_PURCHASED)		 📊 DAS Line item stats
\n Li Max win bid price
li_win_bid_price_max

This metric represents the $WIN_BID_PRICE of Li Max win bid price across the selected dimension.

$main.max($WIN_BID_PRICE)		 📊 DAS Line item stats
\n Li Max win rate
li_win_rate_max

This metric represents the $WIN_RATE of Li Max win rate across the selected dimension.

$main.max($WIN_RATE)		 📊 DAS Line item stats
\n Li Min BBD
li_budget_burn_deviation_min

This metric represents the $BUDGET_BURN_DEVIATION of Li Min BBD across the selected dimension.

$main.min($BUDGET_BURN_DEVIATION)		 📊 DAS Line item stats
\n Liczba przekierowań
adclick_invoiced

The number of invoiced AD clicks

$main.filter($EVENT_TYPE == 'adclick' and $INVOICED != '0').sum($EVENTS_SUM)		 ➽ Skapiec Billing - only druid,
➽ Skapiec products comparison - only druid,
➽ Skapiec category comparison - only druid,
➽ Performance Easy - redirections report
\n Non personalized cookie reach
non_personalized_reach

The number of unique users (based on a count of unique cookies) without valid consent for ads personalization given on GDPR consent form		 📅 Historical
\n Non personalized inventory
non_personalized_inventory

The total number of ad impressions and unfilled impressions viewed by unique users (based on a count of unique cookies) without valid GDPR consent for ad personalization		 📅 Historical
\n Offer CTR
ctr

The percentage of impressions served by the ad server that resulted in users clicking on an ad.		 🎁 Offers statistics
\n Offer clicks
OFFER_ADCLICK

Number of times user clicked on the ad, filtered out for invalid and outdated clicks.		 🎁 Offers statistics
\n Offer impressions
FILLED_OFFER_EMISSION

The number of offer impressions.		 🎁 Offers statistics
\n Open
open

The number of opened e-mail ads. The event is registered by transparent pixel added to e-mail creative

$main.filter($EVENT_TYPE == 'open').sum($EVENTS_SUM)		 📅 Historical
\n Outdated offer clicks
OFFER_OUTDATED_ADCLICK

Number of clicks for which URL was generated more than 30 days ago.		 🎁 Offers statistics
\n Passbacks
passbacks

Passbacks are used to determine the rate at which an impression will be filled by a third-party ad network.Third-party ad networks "passback" an impression to the publisher when the third-party ad network has no inventory available to match the ad request.		 📅 Historical
\n Personalized cookie reach
personalized_reach

The number of unique users (based on a count of unique cookies) with valid consent for ads personalization given on GDPR consent form		 📅 Historical
\n Personalized inventory
personalized_inventory

The total number of ad impressions and unfilled impressions viewed by unique users (based on a count of unique cookies) with valid GDPR consent for ad personalization		 📅 Historical
\n Placeholder impressions
UNFILLED_OFFER_EMISSION

The number of placeholder impressions.		 🎁 Offers statistics
\n Post Click Conversions (30 days)
post_click_conversions

The number of post click conversions. Each converting activity can cause one post click conversion for every deal that was clicked by the user up to 30 days before the activity (assuming deal matched condition for causing conversion)		 📅 Historical
\n Post click conversion (30 days)
post_click_conversion

Number of post click conversion		 🛒 Conversions (new activity)
\n Product detail
product_detail		 🎁 Offers statistics
\n Purchased
purchased		 🎁 Offers statistics
\n Quantity (Activity)
activity_qty

Quantity value (qty= parameter) from ADP Activity tags. The agregated value based on qty= parameter value from your ADP Activity tag.		 📅 Historical
\n Quantity value
quantity

Quantity metric		 🛒 Conversions (new activity)
\n ROAS
roas

Return on Ad Spend - The value of products purchased by the user in the store		 📅 Historical
\n Remove from cart
remove_from_cart		 🎁 Offers statistics
\n Request Load Time 0-100ms
request_load_time_0_100_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 100-200ms
request_load_time_100_200_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 1000-1200ms
request_load_time_1000_1200_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 1200-1500ms
request_load_time_1200_1500_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 1500-2000ms
request_load_time_1500_2000_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 200-300ms
request_load_time_200_300_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 300-400ms
request_load_time_300_400_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 400-600ms
request_load_time_400_600_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 600-800ms
request_load_time_600_800_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time 800-1000ms
request_load_time_800_1000_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Request Load Time Avg
duration_avg

Average request load time		 🌐 Prebid analytics (new)
\n Request Load Time Sum
request_load_time_sum

Sum of request load time		 🌐 Prebid analytics (new)
\n Request Load Time greater then 2000ms
request_load_time_gt_2000_sum

Request count within a specific response time period		 🌐 Prebid analytics (new)
\n Requests
requests

Number of ad server requests		 🌐 Prebid analytics (new)
\n Revenue
revenue

Revenue value calculated on the basis of cost= parameters and values assigned to proper Line item (like in CPS model, % of purchased)

$main.filter($EVENT_TYPE in ['filled_emission', 'adclick', 'conversion', 'open']).sum($REVENUE_SUM)		 📅 Historical,
\n Revenue CPA
revenue_cpa

Revenue generated in CPO (cost per order), CPL (cost per lead) or CPS (cost per sale) billing model

$main.filter($EVENT_TYPE in ['conversion']).sum($REVENUE_SUM)		 📅 Historical
\n Revenue CPC
revenue_cpc

Revenue generated in CPC (cost per click) billing model

$main.filter($EVENT_TYPE in ['adclick']).sum($REVENUE_SUM)		 📅 Historical,
👉 AdClicks
\n Revenue CPC Invoiced
revenue_cpc_invoiced

Revenue generated in CPC (cost per click) billing mode. Based on invoiced ad clicks		 📅 Historical
\n Revenue CPD
revenue_cpd

Revenue generated in CPD (cost per day) billing model		 📅 Historical
\n Revenue CPM
revenue_cpm

Revenue generated in CPM (cost per mille) billing model

$main.filter($EVENT_TYPE in ['filled_emission']).sum($REVENUE_SUM)		 📅 Historical
\n Revenue Invoiced
revenue_invoiced

Invoiced revenue calculated value based on line item billing model.		 📅 Historical
\n Revenue Open CPM
revenue_ocpm

Revenue generated in Open CPM (cost per mille) billing model

$main.filter($EVENT_TYPE in ['open']).sum($REVENUE_SUM)		 📅 Historical
\n Revenue estimated
estimated_revenue

Estimated revenue value calculated on the basis of historical campaign performance,
Estimated revenue value, calculated on the basis of historical campaign performance, that was expected to earned by the impression which resulted in click and eventually conversion

$main.filter($EVENT_TYPE == 'filled_emission').sum($REVENUE_ESTIMATED),
 📅 Historical,
🛒 Conversions (new activity)
\n Revenue value
revenue

Revenue metric		 🛒 Conversions (new activity)
\n Revenue with CPD
revenue_with_cpd

Revenue value calculated on the basis of cost= parameters and values assigned to proper Line item (like in CPS model, % of purchased)		 📅 Historical
\n Sum Adserver Win CPM
adserver_wins_bid_rate_sum

The sum of bids from won auctions		 🌐 Prebid analytics (new)
\n Sum Auction Win CPM
prebid_auction_wins_bid_rate_sum

The sum of bids from won auctions		 🌐 Prebid analytics (new)
\n Sum Bid CPM
prebid_bid_rate_sum

Sum of CPM bid rate		 🌐 Prebid analytics (new)
\n Timeout Rate
timeout_rate

The percentage of timeouts.		 🌐 Prebid analytics (new)
\n Timeouts
bid_timeout

Request timeouts		 🌐 Prebid analytics (new)
\n Total adserver revenue
total_adserver_revenue

Total revenue from final auction win via adserver		 🌐 Prebid analytics (new)
\n Total auction revenue
total_auction_revenue

Total auction revenue		 🌐 Prebid analytics (new)
\n Total code served count (Estimated)
code_served

Number of times the ad server responded to a request for an ad. There might be more code serves than impressions, because the creative isn't displayed when the webpage is first loaded. The value is estimated from the sampled data.

$main.filter($EVENT_TYPE == 'filled_request').sum($EVENTS_SUM)		 📅 Historical
\n Total event count
count		 ➽ Archive for Eventcount
\n Total nb. of add to cart events
add_to_cart_total

Number of products added to cart		 🛍️ Adp Activities
\n Total nb. of checkout events
checkout_total

Total number of a checkout		 🛍️ Adp Activities
\n Total nb. of custom events
custom_total

Number of non-standard (custom) events		 🛍️ Adp Activities
\n Total nb. of page_view events
page_view_total

Total number of a page view		 🛍️ Adp Activities
\n Total nb. of product detail events
product_detail_total

Number of products displayed with details		 🛍️ Adp Activities
\n Total nb. of product list events
product_list_total

Number of products listed		 🛍️ Adp Activities
\n Total nb. of purchased events
purchased_total

Number of purchased products		 🛍️ Adp Activities
\n Total nb. of remove from cart events
remove_from_cart_total

Number of products removed from cart		 🛍️ Adp Activities
\n Total nb. of transaction events
transaction_total

Total value of a purchases (transations)		 🛍️ Adp Activities
\n Unfilled
unfilled

Total number of ad requests to the adserver that didn't return an ad (applies only to display campaigns).		 📅 Historical
\n Unfilled for mailings
unfilled_deprecated

Total number of mailing ad requests to the adserver that didn't return an ad.		 📅 Historical
\n Unique device id
reach_device_id

The estimated number of unique devices. Estimation is based on a count of device id.		 📅 Historical
\n Unique device id clicks
unique_adclick_device_id

The estimated number of unique devices with ads clicks. Estimation is based on a count of device id.		 👉 AdClicks
\n Unique users by aid
reach_by_aid

The estimated number of unique users. Estimation is based on a count of unique aid in cookies.		 📅 Historical
\n Unique users offer impressions
uu_offer_impression

The estimated number of unique users offer impressions.		 🎁 Offers statistics
\n Unique users offer valid clicks
uu_valid_clicks

The estimated number of users who clicked on the offer.		 🎁 Offers statistics
\n Unique users placeholder impressions
uu_placeholder_impression

The estimated number of unique users placeholder impressions.		 🎁 Offers statistics
\n Value of Purchased
value_of_purchased

The value of products purchased by the user in the store - Advertiser Revenue		 📅 Historical,
🛍️ Adp Activities
\n Video Completion
video_vc

This metric measures the number of completed views of a video.

$main.filter($EVENT_TYPE in ['custom'] and $CUSTOM_EVENT in ['complete']).sum($EVENTS_SUM)
\n Video Completion Rate
video_vcr

This metric measures the percentage of completed views of a video ad relative to the total number of impressions

($main.filter($EVENT_TYPE in ['custom'] and $CUSTOM_EVENT in ['complete']).sum($EVENTS_SUM) / $main.filter($EVENT_TYPE in ['custom'] and $CUSTOM_EVENT in ['firstquartile']).sum($EVENTS_SUM)) * 100
\n Viewable Impression
video_vis

This metric measures the total instances of a video ad being played, including partial views.

$main.filter($EVENT_TYPE in ['custom'] and $CUSTOM_EVENT in ['firstquartile']).sum($EVENTS_SUM)
\n eCPC
ecpc

Effective Cost Per Click [(revenue/adclicks)]		 📅 Historical,
➽ Historical omnichannel events
\n eCPM
ecpm

Revenue per thousand ad impressions [(revenue/ad impressions)*1000]

$main.filter($EVENT_TYPE in ['filled_emission', 'adclick', 'conversion', 'open']).sum($REVENUE_SUM) / $main.filter($EVENT_TYPE == 'filled_emission').sum($EVENTS_SUM) * 1000		 📅 Historical,
➽ Historical omnichannel events

Updated about 1 month ago

Did this page help you?

Updated about 1 month ago

Did this page help you?