Customer purchase frequency often follows a power law (also called the 80/20 rule). Log10 transforms this curve into a straight line, making it easy to see if your top 1% of customers (log10 = 0) vs. your bottom 50% (log10 = 1.7) behave differently. You can then design targeted offers.
A: Most sellers do not need it. The term appears mainly in API documentation and advanced reporting. Meesho assumes basic numeracy but not advanced math. This article fills that gap.
Some third-party Meesho seller extensions use log10 models to predict how increasing your catalog size from 100 to 1,000 items affects your net profit margins (e.g., marginal gains diminish beyond a certain log10 threshold). log10 meesho
A: No. Meesho does not reveal absolute rank. However, you can use log10 on impressions. If your top product has 10,000 impressions (Log=4) and the category leader likely has 100,000 (Log=5), you know you are one order of magnitude behind.
Sound is measured in decibels (a log10 scale). A product priced at ₹499 isn't "a little cheaper" than ₹999; it is an order of magnitude different in the buyer's psychology. Customer purchase frequency often follows a power law
A: No. Free shipping is based on product price (usually above ₹499). No logarithm will change that.
Let's call him Rajesh, a Jaipur-based seller of home decor. A: Most sellers do not need it
Before Log10 thinking:
After applying Log10 Meesho method: