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    Creative DNA
    Advertising
    9 min read

    AdTech Creative Intelligence

    Analyze ad creative elements, visual composition, messaging, brand safety, at scale. Predict performance, enforce compliance, and optimize creative strategy with multimodal intelligence.

    Who It's For

    Ad networks, DSPs, creative agencies, and brand marketing teams managing 10K+ creative assets monthly

    Problem Solved

    Creative performance is unpredictable. Teams produce hundreds of ad variants without understanding which visual elements, messaging patterns, or compositional choices drive results. Brand safety review is manual and inconsistent.

    Ready to implement?

    Schedule a DemoView Documentation
    One-click templateCreative DNA for Ad ArchivesSearch every scene of every ad you have run, and find the ones that keep earning spendDeploy it

    Before & After Mixpeek

    Before

    ✗

    Creative approval

    2-5 day manual review cycle

    ✗

    Performance prediction

    Gut feel and past experience

    ✗

    Brand safety

    Subjective, inconsistent human review

    After

    ✓

    Creative approval

    Automated classification in the retriever pipeline

    ✓

    Performance prediction

    Your models score against a structured feature layer

    ✓

    Brand safety

    Classified against your own versioned taxonomy

    Why Mixpeek

    One pipeline handles video, display, and social creatives together instead of a separate tool per format. Brand-safety and creative-attribute labels are a taxonomy you define and version, so a policy change is a re-label rather than a model retrain, and every asset is scored against it inside the retriever.

    Overview

    AdTech creative intelligence brings data-driven understanding to the creative process. Instead of guessing which creative elements drive performance, teams get multimodal analysis of every asset, from visual composition and color psychology to messaging sentiment and brand safety. This intelligence feeds creative strategy, automates compliance, and predicts performance before spend.

    Challenges This Solves

    Creative Black Box

    No systematic way to understand why certain creatives outperform others

    Impact: Spend keeps flowing to creatives nobody can explain

    Manual Brand Safety Review

    Human reviewers process 50-100 creatives daily, creating multi-day approval bottlenecks

    Impact: Campaign launch delays and inconsistent enforcement

    Format Fragmentation

    Video, display, social, and native ads each require different analysis approaches

    Impact: Siloed insights and inability to transfer learnings across formats

    Scale Mismatch

    Creative production outpaces the ability to analyze and optimize

    Impact: Most creatives launch without intelligence, relying on post-flight analysis

    Recipe Composition

    This use case is composed of the following recipes, connected as a pipeline.

    1
    Feature Extraction

    Turn raw media into structured intelligence

    2
    Hierarchical Classification

    Auto-label content into structured taxonomies

    3
    Semantic Multimodal Search

    Find anything across video, image, audio, and documents

    Feature Extractors Used

    brand safety violence

    brand safety hate speech

    brand safety adult content

    scene classification

    object detection

    ocr text extraction

    Retriever Stages Used

    semantic search

    filter aggregate

    Expected Outcomes

    Scored at upload

    Creative approval

    Checked per scene

    Brand safety

    IAB 3.1 IDs

    Content categories

    Build this in the docs

    The exact stages and extractors this use case runs on, with API reference and worked examples.

    Taxonomies: classify creatives against a governed label treeDefine hierarchical brand-safety and creative-attribute labels, then version them as your policy changes.Classify stage: apply a taxonomy inside the retrieverScore every asset against your taxonomy in the retrieval pipeline, with no per-format model to train.

    Analyze Your Ad Creatives at Scale

    Clone the creative intelligence pipeline and connect your asset library.

    Estimated setup: 1 hour
    Run this on your own data, from $25/moBook a demoDocumentation

    Frequently Asked Questions

    How does Mixpeek integrate with existing ad platforms?
    Scores are computed when an asset is uploaded and stored with it, so a DSP, an ad server or a creative management platform reads them over the REST API instead of waiting on analysis. There are no pre-built connectors for those platforms; the integration is an API call from your side.
    What brand safety standards are supported?
    You define the categories as a taxonomy with your own confidence thresholds. Most teams start from the GARM (Global Alliance for Responsible Media) categories, such as violence, hate speech, adult content, drugs, weapons and profanity, which platforms and vendors still use after GARM wound down in August 2024. Content categories use IAB Content Taxonomy 3.1.
    Can this predict creative performance before launch?
    Yes. By analyzing visual composition, messaging patterns, and historical performance data, Mixpeek generates performance scores that correlate with downstream metrics like CTR and ROAS.

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    Ready to Implement This Use Case?

    Our team can help you get started with AdTech Creative Intelligence in your organization.

    Schedule a DemoRead the Docs