More than 66% of advertisers exclude unprofitable products from their data feeds to optimize the way they spend their budget.j
The data was drawn from over 50k feeds from shops with various catalog sizes – starting from 500 products, up to stores advertising 200k+ products. This study took over 16k shops into account, spanning over 20 different eCommerce sectors. 300 different advertising channels were included in this report. Google Shopping, Facebook, and custom channels accounted for over 50% of data samples. This means the reports likely have a heavy bias towards PPC platforms. The remaining samples include channels like TikTok, Bing, eBay, and Snapchat. This study collected data from 60 countries in total. 27.4% of feeds were taken from the US, 57.4% from European countries, and the remaining 15.2% were gathered from the rest of the world.
The fact that over 66% of advertisers exclude unprofitable products from their data feeds demonstrates a strategic approach to budget optimization. This statistic highlights the importance of efficiently allocating resources and prioritizing profitability. It signifies a data-driven decision-making process that allows advertisers to focus on products with higher returns, ultimately enhancing the effectiveness and efficiency of their advertising campaigns.