Identify retail media ad types using AI

Below is a free classifier to identify retail media ad types. Just upload your image, and our AI will predict if it's a display ad - in just seconds.

retail media ad types identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("retail-media-ad-types", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/retail-media-ad-types/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/retail-media-ad-types/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it's a display ad.

This pretrained image model uses a Nyckel-created dataset and has 4 labels, including Banner Ad, In Store, Out Of Home and Sponsored Listings.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a display ad).

Whether you're just curious or building retail media ad types detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify retail media ad types at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Ad Type Analytics: Identify different retail media ad types to analyze their performance. By categorizing ads into distinct types, businesses can gain insights into which formats yield the highest engagement and conversion rates, enabling data-driven marketing strategies.

  • Campaign Optimization: Assist marketers in optimizing their campaigns by providing insights on the most effective ad types. Utilizing the classification function can help identify underperforming ad types, allowing for timely adjustments to enhance overall campaign effectiveness.

  • Audience Targeting: Enhance audience targeting strategies by recognizing which ad types resonate best with various customer segments. By understanding the preferences for specific ad formats, marketers can tailor their advertising efforts to meet customer expectations, improving overall customer experience.

  • Budget Allocation: Aid in smarter budget allocation by assessing the performance of different retail media ad types. By analyzing the return on investment (ROI) for each ad type, companies can strategically allocate resources to maximize their advertising spend and boost profitability.

  • Competitive Analysis: Conduct competitive analysis to understand how different retailers are utilizing various ad types. By classifying competitor ads, businesses can identify trends and gaps in the market, paving the way for innovative ad strategies that stand out.

  • A/B Testing Support: Support A/B testing initiatives by classifying and comparing ad types in real-time. This allows marketers to understand which ad formats perform better in split tests and refine their advertising strategies based on tangible data.

  • Trend Forecasting: Aid in trend forecasting by monitoring the performance trends of retail media ad types over time. This information can help businesses stay ahead of industry shifts, allowing them to adapt their marketing strategies proactively to align with emerging consumer preferences.

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