Your Product, to the Right Customer, with AI
Meta's AI (Advantage+ Shopping) matches the thousands of products in your store with the right customer. Measuring ad return, recovering lost data and re-showing products; all in one.
32% lower cost per customer According to Meta's statement, AI-managed sales campaigns bring in a customer for 32% less than manually tuned classic campaigns; especially for stores with more than 100 products. Meta Newsroom
E-commerce Businesses' Pain Points
The common problems of brands selling online but unable to get results from Meta ads.
"Visitors come but don't buy"
People come to the product page, add to cart, and leave. No return, no follow-up.
"I don't know which product earns in ads"
There are too many products to advertise each by hand. Which ones earn and which lose money isn't clear.
"Reports don't match after phone privacy changes"
Measurement data dropped and part of the sales don't show in reports. You can't see the ad's real impact.
What is an AI-Powered Sales Campaign (Advantage+ Shopping)?
Meta's new AI-based sales campaign. You set up a single campaign and the system learns and adjusts the audience, the ad image, the budget and product matching itself.
It used to require setting up a separate ad for every product-and-audience pair. This system manages them all at once with AI and tests continuously.
AI-managed sales campaigns, set up correctly, noticeably increase the return on ad spend, especially in medium-large stores with many products.
Three things are needed: properly set-up measurement code, the connection that recovers lost data, and a complete product list. Without these three, AI doesn't run reliably.
Product List Setup: 3 Steps
We complete within 7-14 days depending on your e-commerce platform.
Store Connection
Shopify, WooCommerce, Magento, OpenCart: whichever you use, we set up the connection. If you have custom software, we can connect with a product list file too.
Completing Product Details
Title, description, images, category, stock status: we fill in all the fields Meta requires.
Measurement Setup
Visitor actions (viewed a product, added to cart, started checkout, purchased) are set up for measurement. The connection that recovers lost data (Conversions API) is also added.
Recovering Lost Sales Data (Conversions API)
Apple's privacy update disabled most of the measurement code placed on your site. The fix is server-based measurement: when a customer buys, the info goes straight from your server to Meta, so the data is kept even if the measurement code is blocked.
Without This Connection
On iPhone users, a significant portion of sales don't show in reports. The ad's impact is measured incorrectly.
With This Connection
With server-based measurement, most of the lost data is recovered. The ad is managed with correct data.
Re-showing the Product They Viewed (Retargeting)
A strategy of re-showing the product to someone who saw the page but didn't buy.
Cart Abandoner
Added to cart but didn't buy; same product and a discount coupon within 24 hours
Product Viewer
Looked at the product page, didn't buy; we re-show it for 7 days
Past Customer
Bought once, let's bring them back; complementary product suggestions for 60 days
Similar Product
When someone views a product, we suggest similar ones; AI does the matching
AI Advantage in Sales
How we use the AI in Meta's and our own tools in sales ads.
Automatic Product-Customer Matching
Meta's AI continuously tests the product, audience and ad-image combination. No manual intervention needed; the system learns and improves.
Recovering Lost Data
With server-based measurement, we recover the sales data lost after the privacy change. Included in every setup as standard.
Automatic Budget Management
Budget shifts to the campaign that returns the most on ad spend; hour by hour, not once a day.
Which E-commerce Sectors Is It Suitable For?
The categories where this sales ad works best.
Fashion & Textile
Visual-heavy and seasonal; re-showing products is very strong.
Cosmetics & Care
High repeat-purchase and upsell potential.
Home Goods & Decor
Long decision process, re-showing is critical.
Nutrition & Supplements
Repeat purchase and membership programs.
Accessories & Jewelry
Lots of products, AI matching is an advantage.
Kids & Baby
Targeting that changes by age group.
Sports & Outdoor
Clear target audience, results come fast.
Electronics & Accessories
Customers who compare prices; re-showing works very well.
Sample Work
Jewelry / E-commerce (Bursa)
Return on every 1 TRY spent rose from 4.2 to 6.8. 1,200-product store fully measured.
⏱ 4 months
Boutique Cosmetics (Istanbul)
Recovery of products left in the cart rose to 18%, re-showing campaigns in clear profit.
⏱ 5 months
Frequently Asked
Platform support beyond Shopify / WooCommerce?
Magento, OpenCart, PrestaShop, T-Soft, IdeaSoft: all supported. If you have custom software, we can connect with a product list file too.
Minimum product count to start?
Technically you can start with 5 products but the AI makes a clear difference at over 100 products. For stores with fewer products we recommend classic campaigns and re-showing.
Minimum monthly budget?
For e-commerce sales ads, below 15,000 TRY/month rarely shows meaningful results; the AI needs enough data to learn. No upper limit, it grows with volume.
Who sets up the measurement connection?
We set up the measurement connection, our team or together with your tech team. Meta has a ready connection for Shopify and WooCommerce (finishes in 1 hour). For custom software, 1-3 days of development is needed.
When do results start to show?
The first 2-3 weeks are a learning period (the system is learning, results fluctuate). After that it settles. A clear trend shows after 2-3 months. Those who rush and quit in month 1 lose; those who wait win.
Contract length?
We recommend at least 3 months. Less than 90 days of data isn't enough for the AI to learn, for the seasonal effect, and for ad tests to produce results.
Let's Get Your Store Selling
Which platform are you on, how many products, which sector: let's create the setup plan.