Segment your products based on their sales performance in Google Shopping campaigns and Google Analytics 4 data.

Includes 4 labels: GAdsSellers, GA4Sellers, NoPurchaseCost, and NoPurchaseNoCost.

This allows you to combine revenue and advertising cost data from both Google Ads and Google Analytics 4, enabling better product identification and optimization strategy management.

You can assign this field as a custom label in your product feed. Here are some practical applications:

Remember to regularly monitor and update these labels, which will help you continuously optimize campaigns and improve the efficiency of your advertising spend.

This field assigns labels to products based on the revenue they generate in Google Analytics 4.

It includes 4 labels: no_revenue, high, mid, and low. These labels are calculated based on the ga4_item_netto_revenue parameter.

It allows you to identify products with the highest and lowest revenues, which helps make more informed decisions regarding product placement in campaigns and optimization strategies.

You can assign this field as a custom label in your product feed. Here are some practical applications:

It allows you to identify products with the highest and lowest revenues, which helps make more informed decisions regarding product placement in campaigns and optimization strategies, focusing marketing efforts on the most profitable items.

Remember to regularly monitor and update these labels, which will help you continuously optimize campaigns and improve the efficiency of your advertising spend.

This field segments products based on their ROAS, allowing for more effective management of advertising campaigns.

With this field, you can easily identify products with high, medium, and low ROAS, which helps to better allocate your advertising budget and optimize marketing efforts.

Includes 4 labels: no_roas, high, mid, and low. These labels are calculated based on the gads_roas parameter from the Master Model.

You can assign this field as a custom label in your product feed. Here are some practical applications:

It allows you to focus on products that generate the most profit after considering the margin.

This field assigns labels to products based on the profit they generate after accounting for the margin. This makes it easier to manage campaigns and optimize your offering for profitability, increasing sales efficiency.

To calculate this field’s value, margin data is required in the Master Model. If you haven’t supplied margin data to your Master Model, the system defaults to 25%. To change this value, please contact support.

It includes 4 labels: no_profit, high, mid, and low. These labels are calculated based on the cd_profit parameter.

You can assign this field as a custom label in your product feed. Here are some practical applications:

This field assigns labels to products based on the margin ranges they fall into.

It allows you to focus on the most profitable products, i.e., those whose sales are the most valuable.

If you haven’t provided your Master Model with margin data, the system will automatically apply a 25% value to all products. To change this, contact support.

The label will return:

You can assign this field as a custom label in your product feed. Here are some practical applications:

Focus your efforts on products within selected price ranges.

If you discover that products within a particular price range perform best (e.g., through ROAS Segments, this label allows you to focus your efforts precisely on those products. This field assigns labels to products based on the price ranges they fall into.

The label will return:

You can assign this field as a custom label in your product feed.

You can adjust the values of the ranges and prices to suit your business needs.

Labeling products based on their seasonality.

This label can return the season of a given product, depending on the information provided, such as in the product description.

If your feed contains many seasonal items, these labels will help you easily exclude or reduce the advertising budget for out-of-season products, as well as identify those that deserve more attention when their season approaches.

It allows you to create and enhance the effectiveness of seasonal advertising campaigns and adjust your offering to current trends.

The Delivery Time Type field allows you to label products based on their shipping time. This can help highlight products with faster delivery, which may increase their appeal to customers who prefer quick purchases.

The label will return:

You can assign this field as a custom label in your product feed. Here are some practical applications:

You can adjust the time ranges to suit your business needs.

Labeling own-brand products.

This allows you to dedicate special attention to your own products and strengthen your brand through dedicated campaigns, which can lead to increased customer loyalty and higher margins.

The label will return the value own brand if the brand name in the field matches your brand.

You can assign this field as a custom label in your product feed. Here are some practical applications:

In the wpisz swój brand field, enter your brand name.

Check the competitiveness of your prices on the market.

This field assigns labels to products based on the competitiveness of their price compared to competitors' offers. This allows you to easily monitor your prices and adjust them to stay competitive in the market.

If you use price-tracking tools like Delavo, you can create a separate field in your Master Model that will contain the competitor's product prices. Based on this, the Competition Price field will automatically assign the appropriate label by comparing your prices to competitors' prices.

The label will return:

You can assign this field as a custom label in your product feed. Here are some practical applications:

Labeling Products Based on Gender Targeting

The label will return:

You can assign this field as a custom label in your product feed. Here are a few practical applications:

Labeling products based on their size.

This allows for easier segmentation and management of your assortment based on customer preferences.

This field can be particularly useful in industries where size differences significantly impact purchasing behavior, such as the fashion industry.

The label will return:

You can assign this field as a custom label in your product feed. Here are some practical applications:

You can adjust the size ranges to fit your business needs.

This field marks products that are on sale.

The label will return the value sale/wyprzedaż if the sale_price field is not empty.

Mark products that are on sale and give them special attention.

The Sales Price field identifies products that are currently on sale or discount. This makes it easy to manage discounted products and optimize advertising campaigns by focusing on these offers.

You can assign this field as a custom label in your product feed. Here are some practical applications:

This field labels products based on their impressions in Google Ads product ads over the last 30 days and their availability.

The label will return the value zombie if the following conditions are met:

You can assign this field as a custom label in your product feed. Here are some practical applications:

Labeling products based on warehouse type.

This allows for a classification of products into categories such as own stock, fulfillment, or dropshipping, and the labeling of products with calculations at the label level. In 90% of cases, products from your own stock tend to sell better and more efficiently, so it's worth directing larger budgets towards them.

Labeling products that you want to "push" out of stock.

Based on data from GA4 and Google Ads, you can identify the most effective products and then allocate them to specific campaigns with dedicated budgets.

This strategy helps you quickly sell off low-stock items, minimizing storage costs and freeing up capital.

This method allows you to adjust ROAS based on specific margin ranges. If there are enough conversions in a campaign, it enables further segmentation to ensure consistent ROAS, avoiding wide disparities such as 400% and 2000%. The goal is to prevent campaigns from underperforming due to a lack of conversions, which can hinder learning in performance campaigns like PMAX.

This approach helps in precisely aligning the advertising budget with product categories of varying profitability, optimizing the return on investment (ROAS) and setting optimal ROAS targets for different product categories and margin segments.

This approach focuses on identifying key product lines within a specific brand (e.g., Adidas), with a focus on the product series that is most important for your sales strategy. By isolating these products, you can create separate campaigns and allocate dedicated budgets to them. A crucial aspect of this process is the division between products that are already performing well and those that require activation and increased exposure.

This strategy allows for concentrated efforts on the most critical products for the company and drives sales growth through dedicated marketing campaigns, directly contributing to achieving key business goals.

This approach involves identifying the top 10% of best-selling products from each category and promoting them through ads targeting cold audiences, such as a Facebook carousel ad. By including multiple categories (e.g., tables, chairs, dressers) within the carousel, you can capture the attention of potential customers more effectively by showcasing a diverse range of products from your portfolio, rather than focusing on just one category.

This strategy allows you to maximize reach and brand awareness by promoting your most popular products, which can attract new potential customers.

This strategy involves selecting products from a specific brand or category (e.g., Adidas) and targeting all users who have visited that brand’s page over a specified period (e.g., last 30 days) but haven’t made a purchase. The ad you show to these users will focus exclusively on top sellers from that brand (e.g., Adidas).

This approach involves promoting a set of top products, but with the added constraint of maintaining a maximum COS (Cost of Sale) or minimum ROAS (Return on Ad Spend). If a product's performance exceeds these thresholds (e.g., COS becomes too high or ROAS falls below acceptable levels), the product is automatically removed from the campaign.

For example, if you're promoting Adidas pants with a current COS of 10% and a maximum allowable COS of 15%, you still have 5% "buffer" to invest further in the product to increase sales. This strategy allows you to grow sales while maintaining acceptable COS and ROAS levels.

This strategy involves creating a dedicated product landing page for a specific brand (e.g., Adidas), which includes a prominent carousel or featured section showcasing the Top 10-20 best-selling products from that brand.

By focusing on products that have already proven to sell well, you increase the likelihood of further sales compared to the rest of the offer. This approach helps highlight the most valuable products and showcase them to a wider audience.

This approach is particularly useful for the fashion industry, where size availability plays a crucial role in a product’s sales potential. If a product no longer has popular sizes such as S, M, or L, it is moved into a separate campaign.

This strategy ensures that advertising budget is not heavily allocated to items with limited size options, such as only XL or XS, which may have lower demand.

In this scenario, a product priced at 100 zł with a 10% margin (10 zł profit per item) has incurred 200 zł in advertising costs without any sales. To cover the advertising costs and break even, you would need to sell 20 units of the product. This situation calls for a revised strategy to avoid further budget waste and to begin generating sales.

This approach involves identifying new products that will soon be available in your store (e.g., a new series or collection) and targeting a specific remarketing audience. This audience consists of users who have shown interest in the brand or category but haven’t made a purchase in the last 30 days. By combining the launch of new products with targeted remarketing, you can increase the efficiency of your pre-sale campaigns by reaching users who are already familiar with the brand or category and are more likely to be interested.

This strategy involves entering a new advertising platform, such as Bing Ads, by selecting a number of top-performing products that match the allocated budget. For example, if the budget is 1000 zł, you can choose a set of top 100 products based on their performance in Google Analytics 4 or your ecommerce engine. This method helps "kickstart" a new channel with products that have a proven track record of sales success, rather than trying to advertise all products at once.

This ensures that the most promising products are prioritized, increasing the likelihood of generating successful conversions early in the campaign and accelerating the growth of the new channel.

This strategy focuses on creating a local advertising campaign that promotes top-selling products while inviting customers to visit a physical store. The campaign is further enhanced by offering special in-store promotions, such as exclusive discounts or gifts for customers who visit the store after seeing the ad.

By combining the strength of top products with a local outreach and an incentive to visit your store, this approach can drive both offline and online sales, increasing foot traffic and conversions.