Liyansh shares a detailed case study of how he generated ₹46 lakhs in revenue dropshipping a Jaap counter in India. He reveals the product, ad creatives, Meta Ads Manager data, and profit calculation, along with key lessons learned.
A short editorial from the VEONIB team on why this content matters.
Liyansh's case study is a rare transparent look at the real numbers behind a dropshipping success, showing that even high revenue can yield low profit due to ad spend and RTO.
Unlike typical dropshipping gurus, Liyansh shares actual ad accounts, product pages, and mistakes, making it a valuable learning resource for Indian e-commerce entrepreneurs.
Watch this if you're in dropshipping or e-commerce; focus on product sourcing, creative testing, and unit economics rather than just revenue.
A retail fulfillment method where a store doesn't keep products in stock but ships them directly from a supplier to the customer.
A digital finger counter used to track the number of times a mantra or prayer is repeated.
Facebook's advertising platform used to create, manage, and analyze ad campaigns on Facebook and Instagram.
Return on Ad Spend, a metric that measures the revenue generated for every dollar spent on advertising.
A secondary social media account used to research products without affecting the main account's algorithm.
The process of identifying potential products to sell online based on demand, competition, and profitability.
A payment method where the customer pays for the product upon delivery, common in India.
Return to Origin, when a shipped order is returned to the seller due to failed delivery or customer rejection.
What product did Liyansh sell to make ₹46 lakhs?
He sold a digital Jaap counter, also known as a tally counter or digital Jaap mala, priced at ₹699.
How did he find the product?
He used the burner account method on Instagram to discover trending products and later confirmed demand via Facebook Ad Library.
What was the total ad spend and ROAS?
Total ad spend was ₹4.1 lakhs, with a ROAS of 1.26 and cost per purchase of ₹62.
How many units were sold?
He sold 6,743 net items, generating ₹46 lakhs in revenue.
What were the main challenges?
Stock-out issues, high RTO rates, and difficulty scaling due to inventory constraints.
What was the profit?
Profit was low due to high ad spend, RTO, and operational costs; exact profit not disclosed but implied to be minimal.
What ad creatives worked best?
Simple, direct-response videos with a hook, product demonstration, and clear CTA performed best.
Did he use AI for ad creation?
Yes, he used AI-generated images and voiceovers from tools like ChatGPT and ElevenLabs.
What was the biggest mistake?
Not sourcing the product early enough and not creating enough new creatives beyond variations of winners.
What platform did he use for dropshipping?
He used Dropship India, a third-party platform that handles shipping and fulfillment.