WHERE THE DATA COMES FROM

VK SOCIAL LISTENING,
THE RUSSIAN-SPEAKING NETWORK.

VK (VKontakte) is the leading Russian-speaking social network. For a brand present in Russia or Russian-speaking countries, much of the conversation is read there.

VK official site
Official site, captured vk.company

WHY VK

Why listen to VK?

Public pages and communities

What is said about your brand and your category.

Comments

The Russian-speaking public's reactions.

Neighbouring markets

The conversation in countries where VK is still used.

Related expertise Social listening

DATA AND LIMITS

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

WHAT WE COLLECT

The public side of VK

Public pages and communities, depending on tool coverage.

VKPublic data

WHAT WE DO NOT READ

Private stays private

Private profiles and messages. Tool coverage varies with the regulatory context: we check what is accessible before committing.

VKNever collected

METHOD

How we listen to VK.

  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

VK social listening: use cases.

Each card leads to the use case it contributes to.

FAQ

Social listening on VK: frequently asked questions.

Is Licter a VK social listening agency?

Yes: we listen to VK 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 cover VK today?

Depending on the tools and the context: we check coverage for your question before starting.

Who reads content in Russian?

We tell you at framing: reading is done in the language, not by machine translation alone.

TIME TO ACT

Looking for a VK social listening agency?

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