What is AidaHuiTong? AidaHuiTong Review, Features

Since its establishment in 2017, Aida Huitong has been serving independent website brand operations and omni-channel marketing promotion.

About Aida Huitong

Since its establishment in 2017, we have been serving independent website brand operations and omni-channel marketing and promotion. So far, we have served more than 300 independent websites, with off-site operation funds exceeding RMB 1.5 billion, among which many brand independent websites have monthly sales of tens of millions of US dollars. Our professional team is composed of practical online marketing and advertising experts. Each member has more than 6 years of experience in serving billion-yuan brand listed companies.

The company's founder, Ada Ning, has 11 years of experience in operating large-scale independent websites. She was responsible for advertising operations management at a cross-border company listed on the A-share market, managing more than 300 brand projects. During this period, she led the marketing team to invest more than $150 million in advertising for independent websites and related brands with monthly sales of over 100 million.

Aida Huitong's service content

Independent website project operation, Facebook advertising, Google advertising, Google SEO, influencer marketing, affiliate marketing, in-depth content marketing, process management, management system design and implementation.

Aida Huitong is a leading cross-border e-commerce independent station marketing and promotion company in China. In the past 11 years, the off-site operation funds exceeded RMB 1.5 billion. We are committed to providing customers with high-quality brand marketing full-case services while ensuring customer satisfaction.

Advantages of Aida Huitong

• Building an independent station overseas marketing ecosystem;

• Build a self-operated private traffic pool;

• Independent station marketing team establishment;

• Build a self-operated private traffic pool;

• Independent station marketing team establishment;

• Data analysis and data system construction;

• Deep optimization of attribution and deduplication.