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?
You'll create a recommendation frame step by step, with no coding required - and you'll see the result live in the preview on the left side of the screen.
1. Choose where the frame will be displayed.
First, you decide where the frame will appear in your store. Keep in mind that the layout on desktop and on mobile often looks different, which is why you set the location separately for each device - this way the customer sees the recommendations exactly where it makes sense.
Click the large yellow "Add AI recommendation frame" button.
After clicking it, a page will appear that lets you quickly position your recommendation frame - separately for the desktop and mobile versions.
Next, clicking the "Choose location" button will open a new page where you'll position the frame on any page of your store using a pointer that highlights the available spots for placing the feature.
In the preview of your store page you can "walk around" it to place the frame, for example on a product page.
Once you've indicated the location, the status will change to "Configured". Remember - setting up the mobile version additionally helps increase conversion among customers browsing your store on their phones:
2. Choose which products will be displayed.
Next, you define the product source for the frame by selecting one of the available categories (including Smart Recommendations, Bestsellers, New Arrivals, Manual selection, Promotions, or Recently viewed).
If you add the frame on a product page, an option will appear allowing you to choose whether it should be displayed on every product page or only on that specific page.
Importantly - you can manually pin selected products to the front of the frame so that they always appear in the first positions, regardless of how the algorithm works. This is a great way to promote specific items, new arrivals, or products included in a current promotion. 📌
This option is not available for the "Manual selection" and "Recently viewed" product sources.
3. Adjust the frame's appearance to match your store.
Finally, you have full freedom to personalize the frame thanks to extensive settings divided into sections, which you'll find under the "Edit appearance" button in the top right corner:
Frame header – you'll set the text, its alignment, size, and color.
General settings – you'll choose the frame's background color and adjust the spacing: the distance between products, the inner padding, and the corner rounding.
Product card – you'll change the background color of an individual card, its corner rounding, and the inner spacing.
Product image – you'll set the image height, how it fits (Fit or Fill), the background color, and the image's corner rounding.
Product title – you'll adjust the typography of the product name: font size and weight, text color, and the maximum number of lines (from 1 to 4) the title can span.
Price – you'll set the price typography (font size, weight, and color), and separately the appearance of the old price, so that promotional discounts are clearly visible.
Button – you'll give it custom text (or leave the automatic one), as well as adjust the typography (font size and weight), the text and background colors, and the border (rounding and thickness).
Remember that you adjust the frame's appearance separately for the desktop version and separately for the mobile version - changes made in one view do not carry over automatically to the other. That's why, after adjusting the frame on desktop, switch the preview to the mobile view and fine-tune its appearance there as well, so that it looks the way you want on both devices.
All changes are visible immediately in the preview, which you can switch between the desktop and mobile views. Once the frame is ready, simply click "Publish" to launch it in your store. 🚀
Reports for AI Recommendation Frames
You can analyze AI Recommendation Frames on an ongoing basis in dedicated reports for each frame.
In it you'll find four key metrics that show how the frames actually work to drive your sales:
Recommendation frame views – how many times the recommendation frame was displayed in the user's view.
Product views – how many times a product from the recommendation frame was displayed.
Orders – the number of orders containing products from this recommendation frame.
Assisted revenue – the total revenue from orders that include products from the recommendation frame.
How much do AI Recommendation Frames cost and how is billing calculated?
Billing is simple. For the first 30 days you pay nothing, and after that you pay only for frame impressions, which means you pay only when your customers actually see the recommendations.
🎁 30-day trial period
By publishing your first frame, you start a 30-day trial period during which you pay nothing. There are no estimates and no charges during this time.
Before you confirm, you'll see the date of your first payment and the full timeline of the trial period.
We'll send you an email reminder 10 and 3 days before the end of the trial period.
After 30 days, your subscription starts automatically, and we'll charge the first payment one month after it starts.
💳 How the fee is calculated
You pay PLN 0.06 per frame impression.
Impressions are counted hourly.
One subscription covers all frames on your account, so you don't pay separately for each one.
📊 Where to check your costs
On the "Payments and usage" page (and in the frame list) you can see at any time:
the service status (Inactive / Trial period / Active / Active until the end of the billing period),
the current billing period,
the number of impressions,
the current cost,
the per-impression rate.
🔄 Cancellation – two different scenarios
Cancelling during the trial period → it's free, and the frames turn off immediately.
Cancelling a paid subscription → the frames keep working until the end of the paid billing period (with no charge for the next period), and the status changes to "Active until the end of the billing period". After that date, the frames turn off.
In both cases you can come back later. Republishing a frame requires a paid subscription, because a second trial period is not available.
Do you need more help?
If you have any additional questions about implementation, please contact us at hello@edrone.me