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Documentation Index

Fetch the complete documentation index at: https://docs.adclear.ai/llms.txt

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The Analytics page covers pre-publication financial promotion metrics: submissions, review timings, approvals, and rejection patterns. Post-publication metrics for affiliates and live content are managed separately in the Affiliate Monitoring & Affiliate Hub.

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How filters work

Every metric on the Analytics page reflects your active dashboard filters. When you adjust any of the filters below, all metrics update simultaneously. You do not need to apply them per section.
FilterWhat it controls
ProductLimits metrics to promotions linked to the selected product
Ad TypeLimits metrics to promotions of the selected ad format
CountryLimits metrics to promotions targeting the selected country
UploaderLimits metrics to promotions submitted by the selected person
ReviewerLimits metrics to promotions reviewed by the selected person
CampaignLimits metrics to a specific campaign
EvergreenIncludes or excludes evergreen promotions

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Upload volume

The total number of promotions that entered the review pipeline during the selected period. Use this to understand overall demand coming into your team.Promotions still in draft state are not counted. Only those that have been actively submitted for review are included.
The total number of individual ad versions submitted during the selected period. Each version is a distinct creative upload within a promotion. This metric reflects the actual volume of content that reviewers handle.
The average number of submitted versions per promotion. A low number suggests promotions are typically straightforward; a higher number suggests more complex submissions with multiple creative variations.Displayed rounded to one decimal place. The dashboard always shows a minimum of 1.0 to prevent the metric showing a misleading value in edge cases.
The percentage of submitted versions that were marked as early requests. An early request is when a promotion is submitted with a deadline shorter than the SLA your organisation has agreed for review turnaround.For example, if your SLA is 5 working days from submission and an uploader sets a deadline 2 working days out, that promotion is counted as an early request. This metric helps teams understand how much of their incoming workload is time-sensitive or has been prioritised by the submitter.Your organisation’s SLA is configured in Settings.

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Key metrics

The percentage of reviewed versions where the review was completed within the agreed service-level timeframe. This is the primary indicator of whether your review team is keeping pace with its commitments.SLA compliance is assessed at the date level, not the exact time of day. If no versions have been reviewed in the selected period, this metric displays as 0%.
The percentage of promotions that were approved the very first time they were reviewed, without needing any further revisions or re-submissions. A higher number indicates stronger content quality and fewer back-and-forth review cycles.The approval doesn’t need to happen within the selected date range. As long as the promotion was created in range, approvals that occur later are still factored in.
How long it typically takes from the moment a version is first submitted to the moment it receives its first approval. This gives a clear picture of end-to-end review speed.The dashboard shows both the average and the median, displayed in the most readable unit (minutes, hours, days, or weeks) based on actual values.
How long it takes for a reviewer to give any initial response after a version is submitted, even if that response isn’t a final decision. This highlights reviewer responsiveness early in the process.The dashboard shows both the average and the median.
The average number of times a promotion had to be re-submitted after its initial upload before receiving approval. Zero means the first submission was approved straight away. Higher numbers indicate more back-and-forth and rework.A promotion with only one submission, approved first try, contributes 0 iterations. The first submission is the baseline, not a re-submit. The median is also calculated alongside the average to give a better sense of the spread.

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Most active uploaders & reviewers

Shows which uploaders submitted the most work during the selected period. Useful for understanding where submission volume is coming from and spotting any concentration across a small number of submitters.Displays the top 5 uploaders by submission count, in descending order.The count switches depending on your current view mode:
  • Promotions mode - counts campaigns per uploader
  • Versions mode - counts individual ad versions per uploader
Shows which reviewers completed the most review work during the selected period. Useful for understanding how workload is distributed across the review team and whether any reviewers are handling a disproportionate share.Displays the top 5 reviewers by completed review count, in descending order.The count switches depending on your current view mode:
  • Promotions mode - counts campaigns reviewed per reviewer
  • Versions mode - counts individual versions reviewed per reviewer
This metric is based on when the review decision was made, not when the promotion was originally created. A review event in the selected period counts even if the promotion was submitted earlier.

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Promotions breakdown

Breaks down all promotions into their current status, showing what share of your submission volume sits at each stage of the workflow. Useful for spotting backlogs or understanding the overall mix of outcomes.For status definitions, see Promotion Statuses.Promotions with no status recorded appear as “Unknown.”
Shows how promotion volume is distributed across different products. Helps identify which products are generating the most review traffic and whether any product is driving an outsized share of submissions.Promotions not linked to any product appear under “Unknown.”
Shows how promotion volume is distributed across different ad formats. Helps teams understand which ad types create the most pipeline load and where review capacity may need to be focused.Promotions not linked to any ad type appear under “Unknown.”

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Rejection & change reasons

Shows which reasons are selected most often when reviewers reject a promotion. Helps identify recurring compliance or quality failure patterns so teams can address root causes upstream.A single review can record multiple rejection reasons. Each one is counted individually. If the same promotion is reviewed and rejected more than once over time, each rejection adds further rows. This means the total can exceed the number of rejected promotions.
Shows which reasons are selected most often when reviewers request changes rather than outright rejecting a promotion. Helps teams identify the most common fix requests and reduce revision cycles proactively.Reasons are grouped by name, not by unique review event. If a reviewer selects multiple reasons in a single review, each reason is counted as a separate row. This means the total can exceed the number of promotions that received a changes-requested outcome.

Promotion Statuses

Every status a promotion can be in and who acts next.

Affiliate monitoring

Post-publication metrics for monitored content.

Compliance User Guide

How reviewers assess promotions and apply decisions.

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