ABC Analysis Through the Lens of Behavioral Economics: Psychological Bias and Buying Behavior
"We keep running ABC analysis, so why aren't sales growing the way we expect?" Have you ever felt that way?
ABC analysis is a staple technique in inventory management and marketing, but lining up the numbers alone won't reveal the crucial part: why people buy what they buy. In this article, we layer behavioral economics onto ABC analysis and read the relationship between psychological bias and buying behavior to find clues for lifting sales.
Once you understand the human psychology behind the numbers, the precision of your actions changes dramatically, even with the very same ABC analysis.
ABC analysis is a technique that classifies products or customers into three groups (A, B, and C) according to their contribution to sales or profit, helping you identify what to manage with priority. It is easiest to think of it as the Pareto principle (the 80:20 rule) applied to day-to-day operations.
Typical guidelines for the classifications are as follows.
A Pareto chart, which plots sales or units sold on the vertical axis with products arranged from the highest composition ratio down, is the standard way to classify them. You can build one easily in Excel by calculating the cumulative composition ratio.
However, stopping here is the pitfall many teams fall into. What ABC analysis tells you is what is selling, not why it is selling. Behavioral economics is what fills in that "why."
Behavioral economics is a discipline that decodes buying behavior on the premise that humans do not always make decisions rationally. Where traditional economics assumes people coolly calculate gains and losses, behavioral economics has shown that emotion, intuition, and preconceptions, in other words psychological biases, sway our choices.
When you overlay behavioral economics on your ABC analysis results, the numbers in each rank start to look like manifestations of human psychology.
In other words, the rank order itself can be seen as the aggregated result of your customers' psychological biases.
Here are five psychological biases that are especially worth keeping in mind when interpreting your ABC analysis numbers.
This is the phenomenon where the first number presented (the anchor) becomes the basis for subsequent judgments. Striking through the list price to show a discounted price uses the list price as an anchor to create a sense of a bargain. It connects directly to pricing for Rank A products and to building good-better-best price tiers.
This is the psychology of being drawn to labels like "No. 1 in popularity" or "over X units sold." The very information that many people are choosing it nudges the purchase along. The higher a product's rank, the more this effect snowballs, locking the ranking in place.
This is the tendency for people to feel a loss about twice as heavily as a gain of the same size. "Limited time" and "only a few left" work because they make not buying feel like a loss. It is effective when you want to give Rank B products a push.
When there are too many options, people end up unable to choose and put off the purchase. On a sales floor dominated by Rank C products, this difficulty in choosing may be lowering the overall purchase rate. Narrowing down the product lineup itself can become a sales-improvement measure.
This is the psychology of wanting to stick with familiar choices. It underpins automatic subscription renewals and repeat purchases of standard items. While the stability of Rank A is supported by this bias, it can also be a reason new products (future Rank A candidates) struggle to grow.
With the psychological biases in mind, let's organize how to act on each rank of your ABC analysis.
The key is not to skip step 2, the "why." By not ending at numerical classification and instead drawing the auxiliary line of psychology, your measures gain a rationale rather than mere guesswork.
ABC analysis is a powerful way to visualize what is selling, but on its own it tends to leave your actions biased toward rules of thumb. By adding a behavioral economics lens and decoding buying behavior through psychological biases such as anchoring, social proof, loss aversion, the paradox of choice, and status quo, the measures for each rank gain a clear rationale.
Next time you run ABC analysis, try jotting a single line next to your rank table: "What psychology is supporting (or hindering) this rank?" That alone will turn your analysis into a map that leads to action.
Learn how to create an NPS survey in three steps: question design, aggregation method, and connecting it to improvement....
A step-by-step guide to performing ABC analysis in Excel: sorting, composition ratio and cumulative composition ratio fu...
Learn the meaning and calculation of ARPPU (Average Revenue Per Paying User). We organize the difference from ARPU—which...
