Product ROI bucket analysis
Categorizes your products into ROI tiers, providing insights on revenue, number of items, cost, and total ROI for each tier. Visualize performance distribution to quickly identify effective and inefficient budget allocations.
Objective
Categorize your products into distinct ROI tiers to gain comprehensive insights into revenue, item count, cost, and total ROI for each tier. This analysis allows you to visualize performance distribution across your product catalog, enabling quick identification of effective and inefficient budget allocations. By understanding which products are delivering the best returns on your advertising investments, you can make data-driven decisions to optimize your budget allocation and maximize overall ROI.
Key benefits
Improved budget allocation
Enhanced product portfolio management
Time Efficiency
Adaptability to market changes
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How it works
Calculate ROI for each product and categorize them into distinct performance tiers. Analyze revenue, item count, and total ROI per tier to optimize budget allocation across sponsored campaigns on Amazon, Criteo, and other retail media platforms.
Data collection and integration
Use mimbi COLLECT to import product data, sales figures, and advertising costs from various platforms (e.g., Amazon Seller/Vendor Central, Criteo, Mirakl, Amazon Ads…). Ensure all relevant data sources are connected to provide a holistic view of your product performance.
ROI calculation and categorization
Leverage mimbi TRANSFORM to calculate ROI for each product based on revenue, costs, and ad spend. Define ROI tiers (e.g., high, medium, low) and use automated rules to categorize products into these buckets.
Analysis and optimization
Review the processed data to identify patterns and outliers. Use mimbi to uncover insights about top-performing and underperforming products. Develop strategies to reallocate budget from low-ROI products to high-ROI ones or to improve the performance of underperforming items.
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