Is it enough to reuse a proven domestic product and playbook for cross-border? Not necessarily. As Chinese beauty brands expand abroad, emerging brands still face low brand awareness, fierce competition, and different preferences in Western markets. Judydoll found growth through testing and adjustment: after one year on Amazon US, store GMV grew over 600% year-over-year, annual sales exceeded $3 million, and 8 of 50 listings entered the top 100 of their subcategories.

We invited Judydoll's overseas business director Charlene, Amazon lead Xana, and team member Selina to review what emerging beauty brands must do to win overseas.

More overseas consumers know Judydoll — what's next?

Before entering Amazon, many overseas consumers already knew Judydoll through social media. The brand had long planned for globalization and gained recognition with innovative, practical products and creative content. To convert this heat, Judydoll needed a platform that could capture social traffic and amplify brand influence — Amazon became that key channel.

"Amazon has a massive user base and strong loyalty. It can help Judydoll build a full brand business." —Charlene

In 2025, Judydoll formed a cross-border team with Amazon experience, officially entered Amazon US, and set a phase-one goal: capture off-site traffic and push at least 5 products into the top 100 BSR of their subcategories.

Entering with mature experience, but product selection cannot be copied

Judydoll has nearly ten years of full-category color cosmetics experience, but the team did not copy past answers. Due to differences in skin tone, makeup preferences, and usage scenarios, past selling points may not apply. They needed to find what US consumers really wanted.

Start from existing feedback for a more stable beginning

The first batch prioritized SKUs with local validation. The ultra-fine liquid eyeliner, a mature hit with beginner-friendly fine-line application, quickly became a best-seller. The team also caught Prime Day, with store sales growing about 5x.

Discover new opportunities from on-site data

Some products with ordinary off-site performance found new opportunities on Amazon. "Product selection cannot rely only on intuition; it must return to data, demand, category growth, and keyword trends." —Xana. Liquid contour was an unexpected discovery.

Using official tools like Opportunity Explorer and Selection Guide, the team saw rising search demand for light-skin contouring. They built keyword libraries and ad plans; within one month, the product entered the top 100 of its subcategory.

Find new product directions from real feedback

The dual-ended peel-off lip product came from review feedback: consumers layered lip gloss over lip liner but struggled to find matching colors. Judydoll launched a dual-ended peel-off lip lacquer with Western-friendly shades, solving the pain point; it now ranks Top 2 in the store's lip category. Going global means re-understanding users and validating needs, not copying past success.

How Judydoll solved "high exposure, low conversion"

Take the core hit Steel Tube Mascara. At launch, auto ads brought impressions but low conversion. Using ad reports, AI keyword analysis, and Vine reviews, the team found two problems: scattered listing selling points and broad keywords wasting budget.

Reorganize product expression

They optimized title and bullet points using top 100 BSR references and Gen AI Listing/A+ tools, focusing on key purchase reasons. "Our goal is to make product selling points understandable to everyone." —Xana

Shift from broad traffic to precise targeting

They reduced high-spend, low-conversion keywords and concentrated budget on precise long-tail keywords. Ad precision improved, ACOS dropped, and orders grew stably.

Make product display more intuitive

They redesigned main images around needs like "no clumping" and "daily makeup," used one image per selling point, and optimized content order for mobile. Steel Tube Mascara doubled daily orders and entered stable growth.

After 0-1: how a small team lowers trial-and-error costs

AI tools reduced repetitive work in research, listing optimization, keyword analysis, ads, and store operations. "AI's core value is reducing repetitive workload and manual errors." —Xana. For daily issues, Seller Assistant provides conversational solutions.

Unfamiliar rules and processes also consume time. During brand registry, Amazon account managers helped clarify requirements and reduce communication costs. In cold start, the team also received new seller benefits and support. "Account managers tell us systematically what to do first and second; the process becomes clearer." —Xana

Looking back, many detours were avoided by not doing all repetitive work manually or repeatedly testing unfamiliar rules.

The team advises: Don't treat Amazon as only a sales channel; it is a key platform for brands to take root overseas and retain users. Combine on-site/off-site synergy with refined operations for stable growth.

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