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.