Understand · Program analytics

    See where automated review is saving you time.

    Analytics connects individual flags to the questions leaders ask: where work is getting stuck, which guidance repeats, and what deserves a closer look.

    Program pulse · Last 30 days↑ +14%
    84%Avg compliance score
    1,904Reviews automated
    952Hours saved
    1,032Flags resolved
    The executive view

    One dashboard for content reviewed, monitored, and everything in between.

    Illustrative program data, formatted the way a real workspace would show it: executive KPIs, the issues repeating across your queue, and a way to slice by whatever dimension matters this week.

    Recurring pattern to action

    Turn a rising pattern into a next step, not just a chart.

    Analytics is most useful when a trend points somewhere specific. Here, a rising disclosure pattern on TikTok Shop connects directly to two concrete next steps.

    Rising pattern

    Disclosure placement issues, up 18%

    Concentrated on TikTok Shop captions over the last 30 days, involving 6 recurring creators.

    Suggested next step
    • Update the affiliate brief to require #ad in the caption's first line.
    • Assign the Disclosure Placement lesson in Academy to the 6 creators involved.
    Ask Analytics

    Ask a plain-language question. Get a structured, sourced answer.

    Ask Analytics is an AI-assisted layer over your program's own review data, built to give teams a fast starting point for a conversation, not a guaranteed determination.

    Ask AnalyticsAI
    Asked Which platform has the most disclosure flags this quarter, and is it getting better or worse?
    Analyzing your review data
    Ask a question about your analytics…

    Ask Analytics summarizes patterns in your own review data using AI. It is a starting point for a conversation, not a compliance determination, always confirm anything decision-critical against the underlying flags.

    At a glance

    What's included

    • Executive KPIs: content reviewed, monitored, and average compliance score
    • Ranked top issues across FTC/disclosure, claims, alignment, and more
    • Segment analysis by platform, campaign, creator, brand, or flag type
    • Recurring pattern examples tied to a suggested next action
    • Ask Analytics, a natural-language layer over your own review data
    • AI Insights and exportable reports that surface what changed week to week
    Insight, not a black box

    A number is only useful if it tells you what to do next.

    Every metric here is meant to connect back to a decision: a brief to update, a lesson to assign, or a conversation worth having with a campaign owner.

    Common questions

    What teams ask before they see the workflow.

    Teams can inspect recurring themes, review workload, creator patterns, and trends that may point to a better brief or more useful training.

    No. Analytics summarize program activity and signals; they do not guarantee an outcome or replace a qualified reviewer.

    It uses AI to turn a plain-language question into a summary of your program's own review data. Treat it as a fast starting point, not a verified determination.

    Yes. Segment analysis can slice by creator, and a recurring pattern can be connected directly to an Academy lesson or a brief update.

    Make the next review clearer

    Bring us the program you want more visibility into.

    We'll show you how analytics can surface the patterns worth acting on, without treating a dashboard as the final word.

    Request a Demo →