Community work for brands going global.

Over the past decade, "Made in China" has been turning into "brands from China." More and more Chinese companies are building sustainable brand equity overseas, and communities are where a brand earns the trust of real users. People discuss products, share experiences, and shape each other's decisions there in ways no ad campaign can replace.

I joined a full-service marketing agency serving leading Chinese consumer-technology brands expanding globally. My account-operations team was the foundation of that work: we built, ran, and kept healthy the community content assets behind every campaign. It was my first look at the whole chain, from a brand's overseas goals to community content on the ground, and user feedback flowing back into strategy.

My work ran across content strategy, audience operations, and data. I ran community entry strategies for brand projects, studying each community's rules, tone, and sentiment before designing an account's positioning and content approach. At peak I managed 18 account onboarding cycles in parallel and kept every project on schedule.

Beyond client projects, I maintained a content matrix spanning 15+ vertical communities, from consumer tech and smart home to gaming, finance, food & drink, parenting, mental health, and careers. Each community has its own rules and preferences: finance wants precision, lifestyle wants warmth, parenting wants genuine empathy. The core skill is not writing English; it's speaking the way each audience speaks.

I treated every community as its own audience. Before writing anything, I read the subreddit's rules and the posts already doing well, so my content added to the conversation instead of cluttering it. I wrote native English for US-based audiences and kept adjusting it: reading user sentiment, following discussion trends, and managing the safety boundaries of brand mentions, staying brand-friendly without inviting negative engagement. When the platform's rules or algorithm shifted, I adapted the content and the timing.

I kept a data record for everything I published: impressions, upvotes, comments, upvote ratio, and audience geography. I also completed asset audits for 5 representative accounts, covering positioning, content structure, and top-performing posts. Those numbers became a verifiable way to evaluate my work, and they taught me to let data, not instinct, decide what to publish next.

Repetition pushed me to build. I built an AI-assisted content workflow covering ideation, drafting, and quality checks that cut drafting time by roughly 40%, while baking in checks for naturalness, factual grounding, and brand boundaries. I presented the workflow's design and usage to company leadership and the AI engineering team, and the optimization was approved and is now being piloted. I also put together a daily work-summary dashboard that turned real content-performance data into something measurable.

Accounts	5 accounts
Account history	15,433 cumulative Karma
Contributions	472 cumulative contributions
Visible views	793K views across 15 view-visible posts
Engagement	3,548 upvotes and 482 comments across 16 posts
Single-post peak	406K views / 891 upvotes / 90 comments / 100% upvote ratio
Audience	91.7% highest observed U.S. audience share
Drafting speed	About 40% faster with the AI-assisted workflow
Community coverage	At least 15 communities

Every deliverable was on time, with zero major content violations and no account assets lost.

The work spans broad-interest and vertical communities. I adapted research, content, and interaction to each subreddit's rules and audience language, and took part in the early setup of an official brand community from zero.

• Consumer technology
• Smart home
• Gaming
• Programming
• Finance
• Food & drink
• Parenting
• Mental health
• Relationships
• Careers