WHERE THE DATA COMES FROM

WECHAT SOCIAL LISTENING,
THE CHINESE ECOSYSTEM.

WeChat (Weixin) is the everything app in China: messaging, payments, articles from official accounts. Its public part, official accounts and their articles, says a lot about brands and their image.

WeChat official site
Official site, captured wechat.com

WHY WECHAT

Why listen to WeChat?

Official accounts

Articles from brands, media and opinion leaders.

Reactions

Comments and reads on public articles.

Your image in China

How your brand is told, read in Mandarin by our consultants.

Related expertise Social listening

DATA AND LIMITS

What we collect on WeChat, and what we do not read.

WHAT WE COLLECT

The public side of WeChat

Official accounts and their public articles.

WeChatPublic data

WHAT WE DO NOT READ

Private stays private

Messages, groups and private Moments: never.

WeChatNever collected

METHOD

How we listen to WeChat.

  1. 01

    Framing

    We start from the decision to make, not from a keyword list: the perimeter follows the question.

  2. 02

    Collection

    Queries, sources, languages and periods, set by the consultants who will read the output themselves.

  3. 03

    Reading

    An analysis crossed with our other sources, and a recommendation your teams can act on.

USE CASES

WeChat social listening: use cases.

Each card leads to the use case it contributes to.

FAQ

Social listening on WeChat: frequently asked questions.

Is Licter a WeChat social listening agency?

Yes: we listen to WeChat for our clients, with the right platforms, and our consultants read what is said there. We do not run your accounts or your ads: we read the conversation and tell you what to decide.

Do you read Chinese?

Yes: our consultants work in Mandarin and Cantonese. A market read through machine translation is a market read half-wrong.

Is WeChat enough for China?

No: we cross it with Weibo, Douyin, Xiaohongshu and Bilibili.

TIME TO ACT

Looking for a WeChat social listening agency?

Send us the question. If another tool answers it better, we will tell you: we use about fifteen.