Cosmetics Shop Doubles Returning Customers With Jinmi AI

A Hanoi cosmetics shop doubled its repeat customer rate and cut advertising costs by 40% in three months with Jinmi AI chatbot.

Key results — 3 months with Jinmi AI

• Returning customer rate: 15% → 30% (doubled)
• Advertising costs reduced by 40%
• Orders from friend referrals up 20%
• Ad spend as a share of revenue: from 30% down significantly

Ms. Trần Thu Hằng started her online cosmetics business in 2020, selling lipsticks, serums, and creams through Facebook and TikTok Shop. Her main growth strategy was livestreams and paid ads — and it worked well enough to reach around 1,000 orders per month. The problem was that nearly 80% of those customers never came back.

Background

In online cosmetics, repeat purchases are everything. A bottle of serum lasts about 30–45 days. Done right, a single customer buying monthly is worth far more than a one-time acquisition. But Ms. Hằng’s business was built entirely around attracting new customers — because she had no system to keep the ones she already had.

Her ad budget crept higher every month, sometimes consuming up to 30% of total revenue. She was selling more and making less.

Challenges

Customers bought once and disappeared

Without any follow-up system, customers who purchased a serum had no reason to return. They’d run out, forget about the shop, or simply get acquired by a competitor’s ad. The store’s most valuable revenue stream — repurchases from a growing loyal base — was completely untapped.

Rising advertising costs squeezed margins

Each new order cost roughly 80,000–100,000 VND in advertising. With operational costs on top, net profit was minimal. The shop was stuck in a cycle: spend more on ads to replace customers who left, earn just enough to fund the next round of spending.

No customer data for personalised care

Customer information was stored manually in Excel spreadsheets. Without any tagging or segmentation system, Ms. Hằng couldn’t distinguish a serum buyer from a lipstick buyer. Meaningful remarketing was essentially impossible.

Solution: Jinmi AI Chatbot

Ms. Hằng implemented the Jinmi AI automated chatbot, installed directly on her Facebook fanpage and TikTok Shop. The system operates 24/7 and manages customer relationships automatically — from first purchase through to repurchase.

1. Product-based customer segmentation

   When a customer purchases lipstick, serum, or cream, the chatbot immediately tags the product category and assigns the customer to the appropriate segment. The result is a clearly organised database: who bought what, who is new, and who is loyal — creating a foundation for targeted follow-up.

2. Timely repurchase reminders

   Thirty days after a serum purchase, the chatbot automatically sends a message: “Hi! Your serum is running low. Would you like to get more to maintain the effect?” This natural, well-timed nudge brings customers back without requiring any additional ad spend.

3. Small incentives to retain customers

   Alongside reminders, the chatbot sends modest loyalty perks — a 5% discount or free shipping on the next order. These light touches drive re-engagement and build habitual purchasing behaviour.

4. Building an owned customer database

   Instead of relying entirely on platform algorithms, Ms. Hằng now owns a segmented, actionable customer database. She can run remarketing campaigns, introduce new products to the right audiences, and maintain long-term customer relationships independently of any single platform.

5. Multi-channel integration

   The chatbot connects both Facebook and TikTok Shop, ensuring customers receive consistent and timely responses across every channel without manual management.

Results

The story of Ms. Trần Thu Hằng demonstrates that retaining existing customers is the key to sustainable growth. With automated follow-up and smart segmentation, the shop doubled its returning customer rate — and reduced advertising costs by 40%.

Three months after implementation, the shop’s economics changed fundamentally:

Metric	Before	After
Returning customer rate	15%	30% (doubled)
Monthly ad budget as % of revenue	Up to 30%	Reduced ~40%
Orders from referrals	Baseline	+20%

With returning customers generating revenue that didn’t require acquisition spend, the pressure to fund advertising dropped sharply. Margins improved. And the brand grew stronger: more satisfied repeat customers meant more organic word-of-mouth, with referral-driven orders rising 20%.

The indirect benefit was equally significant. Freed from the treadmill of constantly acquiring new customers, Ms. Hằng had time to invest in livestreams, product curation, and building her personal brand — laying the foundation for long-term growth.

Key takeaway: Every customer you retain is a customer you don’t have to pay to acquire again. Automated follow-up — timed to natural repurchase windows — is one of the most cost-efficient growth strategies available to any online shop.

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