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AI Recommendation Frames – What are they and how do they work in edrone?

Written by Katarzyna Pieron
Updated this week

What are AI Recommendation Frames?

AI Recommendation Frames are dynamic product blocks displayed on store pages that show customers tailored products based on user behavior, store data, and AI logic.

Their purpose is to support the shopping process, guide customers toward higher conversion rates, and increase the average order value.

Why are Recommendation Frames important in e-commerce?

Today’s customers expect personalized shopping experiences. AI Recommendation Frames are now considered the standard in e-commerce because:

they boost conversion rate-suggesting products customers are more likely to buy,

they increase AOV (average order value)-customers are more likely to add recommended products to their cart,

they monetize existing traffic-instead of increasing marketing budgets, the store earns more from the visitors it already has,

they support personalized shopping-the customer sees content tailored to their needs and behavior.

The marketing power of AI Recommendation Frames

AI Recommendation Frame are more than just a tool-they’re a powerful driver of sales growth. By displaying carefully curated products at the right moment in the customer’s shopping journey, AI Recommendation Frame suggest relevant products at key moments, such as during product research and the decision-making process. With them, you can increase sales from the same traffic-recommendations lead to higher conversion rates and a higher average order value from the same traffic on your store’s website.

AI Recommendations Frames are a key element of growth strategies in modern e-commerce.


What types of recommendation frames are available in edrone?

In edrone for AI Recommendation Frames, we’ve prepared several pre-designed categories that can be used in various situations on your store’s website.

⭐ Smart Recommendations

This is the most advanced type of ad unit.

AI automatically selects products based on the user's browsing history.

Smart recommendations are perfect for increasing:

📈 conversion,

🛒 AOV,

💡 the accuracy of the suggestions.


🔥 Bestsellers

Recommendation Frames showcasing the store's most popular products.

They leverage the social proof effect-customers are more likely to buy what others are choosing.


🆕 New Arrivals

They showcase the store’s newest products, increasing their visibility.

When to use:

✔ new products,

✔ seasonal items,

✔ product launch communications.


💸 Promotions

Displays featuring discounted products.

They help quickly attract the attention of customers looking for bargains.

When to use:

✔ sales,

✔ seasonal promotions,

✔ dynamic promotional campaigns.


👀 Recently viewed products

Banners that remind customers of products they’ve already viewed help them return to the purchasing decision and increase the likelihood of conversion.


🛍️ Manual selected products

Full control over what you want to promote-such as seasonal products, marketing campaigns, or special offers.

When to use:

✔ brand promotions,

✔ targeted campaigns,

✔ product highlight.


What are the benefits of implementing AI Recommendation Frames?

1. More items in the cart

Recommendations for complementary or alternative products increase the average order value (AOV).

2. Revenue growth from existing traffic

Thanks to recommendations, users make purchases more often, which translates into higher revenue without the need to increase the marketing budget.

3. Faster purchasing decisions

Customers receive product content tailored to their behavior and intentions-which reduces the time it takes to find the right products.


How do I add AI Recommendation Frames to my store?

Adding AI Recommendation Frames into edrone is a quick process that requires no coding. All you need to do is choose the right spot on your store’s website where you want the boxes to appear.

Steps to follow:

  1. Log in to the edrone account.

  2. Select the “Onsite” - “AI Recommendation Frames” section from the menu bar.

  3. Select the location on the website where you want to place the frame (e.g., on product pages, at a specific URL).

  4. Select the type of recommendation box you want to add (smart recommendations, featured products, bestsellers, new arrivals, promotions, recently viewed).

  5. Go to the frame customization options.

  6. Save the settings. The frame will appear on the page immediately.

The process is fast and intuitive, allowing marketing teams to manage recommendations on their own without needing IT support.

How the AI Recommendation Frames pricing works

You pay a commission only on the sales that the banner actually generates-not on impressions, not a subscription fee, and not upfront. The more traffic your store has, the lower the commission rate.

The commission decreases as traffic increases


Monthly traffic

Commission

up to 50,000 visits

2,5%

50 000 – 100 000

2,0%

100 000 – 500 000

1,5%

500 000+

1,0%

Benefit: The more you sell through the frame, the less you pay per transaction. The model grows with you-large sellers actually pay less.

What determines your earnings 💵

The calculator estimates revenue from the frame based on two metrics:

  • Frame Click Rate (CTR) – what percentage of visitors clicks on the recommended product (default 5%),

  • Click-to-Order Conversion – what percentage of clickers makes a purchase within 7 days (default 5%).

Example for a store with 100,000 visits/month:

  • 5% click the frame → 5,000 clicks,

  • 5% of them make a purchase → 250 additional orders,

  • with an AOV of 200 PLN → 50,000 PLN in additional sales,

  • 1.5% commission = 750 PLN/month in costs.

Why it pays off

  1. Zero risk-no sales, no payment,

  2. Predictable cost-you always know the percentage of revenue,

  3. Scalability-more traffic = lower rate,

  4. Clear ROI-you pay a fraction of what the ad actually delivers (typically a 50–100x return).

Do you need more help?

If you have any additional questions about implementation, please contact us at hello@edrone.me

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