In every company, there are products that contribute the lion’s share to success, and those that operate more in the background. But how do you systematically identify these to optimally allocate resources? The ABC analysis by revenue relevance offers a proven method to examine your product portfolio and make strategic decisions based on a solid data foundation. It helps optimize your processes and significantly contributes to efficiency improvement and cost optimization.

ABC Analysis by Revenue Relevance: How to Control Your Success

ABC analysis is a proven business analysis method used to systematically categorize products, customers, or product groups into A, B, and C categories based on their cumulative revenue relevance. The goal is to make visible which few items generate the predominant share of total revenue (Pareto principle), in order to align management, marketing, and assortment decisions specifically with the most economically important revenue drivers.

Checklist and step-by-step guide in the article!

What exactly is ABC analysis with relevance for revenue, profit, sales, and margins?

The ABC analysis is a method for prioritization. It helps you to separate the essential from the non-essential. Although it is used in many areas such as purchasing,inventory management and customer management, its effect is particularly strong in the context of revenue relevance. Here, you don’t categorize your products based on gut feeling, but based on their concrete contribution to total revenue.

The theoretical basis for this is provided by the Pareto Principle, also known as the 80-20 Rule. This states that often 80% of the results are achieved with only 20% of the total effort. Applied to your product range, this means: A small part of your products is responsible for a large part of your sales. The ABC analysis makes exactly this distribution visible.

Download ABC Sales Analysis as a Graphic (jpg)

From Theory to Practice: The Three Product Classes

The division into classes A, B, and C is the core of the analysis. Although the exact percentage values vary from company to company, the following guidelines have become established in practice.

A-Products: Your Stars in the Portfolio

These products are your absolute top performers. They form the smallest group, but generate the largest share of revenue.

• Revenue share: approx. 70–80%
• Quantity share: approx. 10–20 %
• Significance: These products secure your core business. Every decision affecting these items has significant consequences. They deserve the highest attention in marketing, sales, and inventory management.

B-Products: The Stable Midfield

B-products are important, but not as critical as A-products. They contribute solidly to sales and form the backbone of your product range.

• Sales share: approx. 15–25%
• Proportion: approx. 30–40 %
• Meaning: Here lies optimization potential. Can some of these products be elevated to A-products through targeted measures? A regular review is advisable here, and process automation is often already possible.

C-Products: The numerous followers

This category includes the largest number of products, but their contribution to the total revenue is marginal.

• Revenue share: approx. 5–10 %
• Volume share: approx. 50–60 %
• Meaning:C-products often tie up a disproportionate amount of resources in warehousing, administration, and management. Here, it is important to radically simplify processes or even consider a range rationalization.

Case Study: ABC Analysis in Practice

A medium-sized e-commerce company implemented the ABC sales analysis and found that 18% of the listed items generated almost 82% of the revenue. After a targeted assortment optimization and the concentration of advertising measures on the identified A-products, warehousing costs decreased by 20% and logistics efforts were significantly streamlined. Through a dynamic combination of product management and consistent optimization, sales of B-products were also increased by implementing targeted marketing campaigns and bundling.

Typical Errors and Challenges in ABC Analysis

Even though the ABC analysis is a simple concept, there are some pitfalls in practice:

• Incomplete or faulty data basis: Inaccurate sales figures, missing item numbers, or outdated product master data distort the result.
• Too rigid class boundaries: The classification should be flexibly adapted to the individual company context.
• One-sided focus on sales: Essential KPIs such as contribution margin, margin, or inventory turnover are often not taken into account – here, the combination with other analysis methods offers advantages (see below).
• Disregard of seasonal effects: Fluctuations in sales due to seasonal products can distort the picture.
• Measures not derived: Mere classification is not enough – consistent implementation and follow-up of measures is crucial.

Extended Analysis: Combination with XYZ Analysis

To enhance the significance of the ABC analysis to increase, it can be linked with the XYZ analysis. While the ABC analysis classifies products according to their share of sales, the XYZ analysis evaluates the regularity or predictability of demand. The combination results in a matrix, which supports actions such as:

• AX products: High sales and constant demand → always keep in stock.
• CY products: Low sales, fluctuating demand → minimize inventory or consider delisting.

This combined approach enables even more targeted cost optimization and provides product management with additional control security.

Industry Examples: How the ABC Analysis is Used

The practical application of the ABC analysis is versatile:

• Retail: Optimizing the assortment, reducing slow-moving items.
• Industry & Production: Control of vertical integration, selection of strategic suppliers.
• E-Commerce: Dynamic online product placement, targeted promotions.
• Service: Prioritization of customer projects or resource management.
• Wholesale: Improvement of warehouse logistics and route planning.

The method is relevant for any organization, regardless of industry, that needs to manage many different products or customer groups.

How to Perform an ABC Analysis (Step-by-Step)

Performing an ABC analysis is straightforward and can be done with common spreadsheet programs like Excel or specialized Business Intelligence tools.

1. Collect data: Create a list of all your products or item numbers. For each product, record the revenue generated within a defined period (e.g., the last 12 months).
2. Sort revenue: Sort the list in descending order by revenue. The product with the highest revenue should be at the top.
3. Calculate revenue share: Calculate the percentage share of total revenue for each product. (Formula: Product Revenue / Total Revenue × 100)
4. Cumulative values: Add the percentage sales shares from top to bottom. The first product has its own share, the second has its own plus that of the first, and so on. The last row must result in 100%.
5. Define classes: Set the boundaries for your A, B, and C categories. A typical division is:
6. • A-Products: All products that together account for up to 80% of the cumulative revenue.
   • B-Products: All subsequent products that reach the 95% mark of the cumulative revenue.
   • C-Products: The remainder, which accounts for the last 5% of sales.
7. Derive measures: Analyze the results and derive concrete strategic actions for each category.

Tip: For presentations, use interactive dashboards or dynamic charts in your BI software so that you can present your results clearly and flexibly to stakeholders.

Terms you should know

Although ABC analysis by revenue relevance is very precise, you will encounter various terms in practice. It is helpful to know them:

• ABC Analysis: The general standard term in business administration.
• ABC Sales Analysis: Emphasizes that sales are the basis of the analysis (and not, for example, the contribution margin or the order quantity).
• Pareto Analysis: Often used synonymously, but strictly speaking describes the underlying principle and not the method itself.
• Product Portfolio ABC or ABC Assortment Analysis: Specific terms that focus on product classification and assortment rationalization.

Regardless of the name, the goal remains identical: the concentration of your efforts on the most profitable areas of your business.

Strategic Potentials of Product Classification

A practical and clear tool for visualizing the results of the ABC analysis is the Lorenz curve. This graphical representation shows at a glance how concentrated sales are distributed within the product range. The x-axis represents the cumulative share of products (from the highest-revenue to the lowest-revenue product) and the cumulative revenue share on the y-axis. If the curve initially rises only slightly and then steeply, your revenue is heavily concentrated on a few products – a typical scenario where the Pareto principle comes into play. The Lorenz curve helps you visualize the classification into A, B, and C products and use it effectively in presentations or meetings. This allows you to identify optimization potentials and areas for action at a glance.

To make the classification of product categories even clearer, you will find a table with the most important characteristics of the individual classes below:

The ABC analysis is far more than a purely statistical exercise. It is a strategic tool that helps you make informed decisions and improve efficiency in various business areas such as product management,purchasing and to increase stockholding.

• Purchasing and Procurement: Focus your negotiating power on suppliers of A-products. Secure the best conditions and high delivery reliability there. For C-products, on the other hand, you can rely on standardized processes and less intensive supplier relationships.
• Warehousing: Place A-products in easily accessible locations in the warehouse to reduce picking times. For these items, conduct regular and accurate inventory checks. For C-products, larger safety stocks and less frequent checks are often sufficient.
• Marketing and Sales: Promote your A-products prominently. Invest the majority of your marketing budget in the items that generate the most revenue. For B-products, targeted campaigns can be useful to unlock their potential.
• Assortment Policy: The analysis provides a clear basis for deciding which products should be removed from the assortment. C-products, which incur high storage costs and generate little revenue, are the first candidates for removal.

Conclusion: More Focus, More Success

The ABC analysis by sales relevance is a simple but extremely effective tool for increasing your business efficiency. It forces you to view your product portfolio not as a homogeneous mass, but as a differentiated landscape of champions, solid workhorses, and resource-intensive stragglers.

FAQ on ABC Analysis

What are the main advantages of ABC analysis?
With ABC analysis, you quickly identify which products or customers are the most profitable. You can allocate your resources more effectively, optimize processes, and increase efficiency. This leads to better cost control and greater profitability.

What are the limitations and restrictions of ABC analysis?
ABC analysis usually only considers one key figure (e.g., sales). Other relevant factors, such as contribution margin, quality characteristics, or fluctuations in demand, remain unconsidered. It is advisable to combine it with further analyses (e.g., XYZ analysis).

How often should ABC analysis be performed?
Regular repetitions – for example, annually or semi-annually – are useful to be able to react to market changes or new assortment developments.

How can ABC analysis be adapted for different industries?
In retail, a product-based analysis is recommended. Service companies benefit from customer classification by sales or order volume. Production companies often combine the analysis with inventory turnover frequency. It is important to define the class boundaries company-specifically and to select the respective key figures.

Can ABC analysis be automated?
Yes, many ERP and BI tools enable automatic execution and visualization. Interactive dashboards also help to dynamically present and evaluate results.

What should I do if products suddenly fall into a different category?
Analyze the causes – such as seasonal effects, assortment changes, or price adjustments – and adapt your measures flexibly.

—By specifically directing your attention, capital, and labor towards the A-products, you optimize the use of your resources and create the foundation for sustainable growth. Use the insights gained to streamline processes, reduce costs, and sharpen your strategic focus.

Checklist: Your next steps for ABC analysis

• Define the data basis: Determine the analysis period (e.g., the last 12 months).
• Export data: Extract a list of all products with their respective sales from your ERP or shop system.
• Perform analysis: Use a spreadsheet to sort products by sales, calculate shares, and accumulate them.
• Define class boundaries: Define clear thresholds for A, B, and C products that are appropriate for your company (e.g., 80% / 95% / 100%).
• Visualize results: Create a chart (e.g., a Pareto curve) or use interactive dashboards for dynamic presentations.
• Schedule a strategy workshop: Discuss the results with the team (sales, marketing, purchasing, logistics).
• Create a catalog of measures: Derive concrete and measurable instructions for action for each product category.
• Which products currently cause the highest storage costs and into which ABC category do they fall?
• Are there products that could move up to the A category through additional marketing measures or assortment restructuring?
• How often do class boundaries need to be reviewed to react to market or seasonal effects?
• How can your company use the results of the analysis to improve long-term efficiency and optimize costs?
• Monitor implementation: Implement the defined measures and regularly review their effectiveness.
• Repeat analysis: Plan regular repetition of the ABC analysis (e.g., annually or semi-annually) to be able to react to market changes.

Use the ABC analysis by sales relevance specifically to take your product management, your efficiency improvement and your cost optimization to the next level!

Florian Ibe
^{CEO & Marketing Consultant}

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