Case Studies

A home textile company in Nantong, Jiangsu Province: TikTok brings goods + independent station two-wheel drive

📅 2026-09-09 ✍️ 企航智联贸易研究院 👁 83 views
A home textile company in Nantong, Jiangsu Province: TikTok brings goods + independent station two-wheel drive

Core conclusions:A home textile company in Nantong, Jiangsu Province used the DTC method of TikTok drainage and independent station acceptance to enter the European and American C-end market. It achieved monthly sales of US$150,000 in six months, with a repurchase rate of 28%.

1. Customer background

This company is located in Nantong, Jiangsu Province. It is a factory-type seller in the local home textile industry belt. It mainly specializes in soft clothing categories such as four-piece bedding sets, curtains, and pillows. Overseas business was completely blank before.

It has been in operation for almost ten years, and there have always been two channels: one is the domestic e-commerce platform, and the other is supporting orders for hotels and B & Bs. The production line is relatively complete, and fabric procurement has advantages. Embroidery, quilting, and finishing are all done in our own factory, so the quality can be controlled and the unit cost is lower than that of pure traders. The boss's thinking is very clear: there is room for demand for products in Europe and the United States, and the customer unit price is also sustainable, but he has never made a C-terminal product. There is no brand recognition overseas, and he does not know where to start.

2. Problem diagnosis: Why does the original path fail?

After we entered the venue, we first sorted out the reasons for his previous two attempts and found that the stuck point was not in the product, but in four links.

3. What have we done?

Focusing on the main line of "content is responsible for planting grass, and independent stations are responsible for transaction transactions", we have built both ends together.

4. Execution rhythm

Month 1: Account cold start and independent website launch

At this stage, the foundation should be laid first. The two TikTok accounts have been certified and data have been improved. In the first two weeks, the company focused on the factory's daily and product details, allowing the system to recognize the account tags first. During the same period, the independent station was completed and its products were put on shelves, and the payment, logistics, and return policy pages were all complete. We don't chase sales this month. We chase the pace of content release and whether the site is running.

Month 2: Running through the content model

Take apart the videos that performed well in the previous stage and analyze them: which type of scenes can be retained, whether they are stored in seasonal seasons or renovated in the bedroom. Fix effective elements into templates and produce stable output of 5 items per week. At the same time, we began to test small-scale release. Each video was given a very small budget first, and we looked at the pop-out and additional purchase data in the first 3 seconds to screen out materials that could really cost money.

Month 3: Increase the conversion rate of independent stations

After the traffic increases, the focus turns to the site itself. The product page is supplemented with real-shot details, buyer frequently asked questions, and size diagrams; the settlement process cuts off redundant steps; the AI customer service's reception skills are repeated according to real inquiries. After this stage is completed, the conversion rate of independent stations will be increased to3.2%.

Months 4 to 6: Two-wheel magnification

After both the content model and transformation model have been verified, budgets will be released. Popular videos are amplified twice with paid traffic, and the well-performing materials are broken into multiple variants for continuous testing; independent stations simultaneously supplement related product and package combinations to increase customer unit prices and repurchase. By the sixth month, monthly sales will reach150,000 US dollars.

V. Outcome data

6. Which factories can this method be replicated to?

The premise of this method is that the product can be seen in the video, the customer unit price can support the advertising cost, and the production capacity can keep up with sales fluctuations. More suitable are consumer goods factories with stable own production capacity and strong visual expression of products, such as home textiles, home storage, kitchen supplies, pet supplies, outdoor supplies, and decorative ornaments. On the contrary, if large-scale equipment with on-site installation guidance and a customer decision-making cycle of half a year is needed, the efficiency of direct ordering of Short Video will be much lower, making it more suitable for taking the route of longer follow-up inquiries. The criterion is straightforward: Can your product make people want to have it in three seconds? If you can, it is worth trying.

7. Common questions

Q: Do I have to make TikTok? Is it okay to just make independent websites and Google?
A: Yes, but the starting speed will be slower. TikTok solves the problem of turning cognition from zero to recognition, and independent station solves the problem of turning cognition into orders. In this case, the two are used together. TikTok is responsible for soliciting new products and testing selling points, and the Independent Station is responsible for undertaking and repurchasing. If your budget is limited, you can first build a solid independent station and then use Short Video to replenish traffic.

Q: Will AI customer service get the wrong answer and offend the customer?
A: AI customer service mainly handles high-frequency standard issues, and complex situations involving customization, claims, and large orders will be directly transferred to manual work. Before going online, we did multiple rounds of proofreading using real inquiries and sorted out the questions that could not be answered into a conversation library. In this case, the situation of receiving inquiries at night has been significantly improved, and manual work only needs to be handled during the day.

Q: How long will it take to see the results from scratch?
A: In this case, the first month was mainly about building infrastructure, the second month was about running content models, relatively stable natural orders began in the third month, and the volume stage entered after the fourth month. The C-terminal is characterized by slow in the early stage and compound interest in the later stage. If you expect to start in two weeks, there is a high probability that you will be disappointed.

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