How the automatic YouTube bulk messaging system improves marketing efficiency and reaches overseas target users in batches

The traffic competition on short video platforms is becoming increasingly fierce, but interestingly, many overseas teams have recently returned their attention toYoutube.

The reason is simple.

Compared with relying on advertising to continuously buy traffic, throughYouTube accumulates users and then reaches them a second time, which is cheaper and the user life cycle is longer.

Therefore, automaticallyThe YouTube group messaging system has begun to become an important tool for many teams to improve operational efficiency.

However, what really affects the effect is often not the mass sending system itself, but the quality of the previous data.

Why YouTube traffic is becoming more and more suitable for private domain

In the past, many teams usedYouTube serves as a content platform.

Now more companies are beginning to use it as a user portal.

Because after the user finishes watching, they can also pass:

lWhatsApp;

lTelegram;

lEmail;

lFacebook;

lSMS marketing;

Keep building connections.

Compared with one-time advertising traffic, this method is easier to form long-term user assets.

Therefore, reaching out in bulk is starting to become more and more important.

What is the core logic of the automatic mass messaging system?

Many people think that automaticYouTube mass messaging is to send messages in batches.

In fact, a complete process usually includes:

User collection

Obtain potential user resources.

Data filtering

Clean invalid users.

User classification

Create different labels.

Content reach

Complete marketing through different channels.

Conversion tracking

Continuously optimize results.

What really determines the effect is often not the last step, but the second step.

Why are the effects of large-scale mass messaging getting worse and worse?

Many teams have discovered:

The number of sends is increasing, but the conversion rate is not increasing at the same time.

Problems usually come from several aspects:

lDuplication of user data;

lThe proportion of invalid numbers increases;

lDecreased user activity;

lThe target users are not precise;

lPlatform status is unknown.

When a large amount of low-quality data enters the mass distribution system, the overall effect will naturally decrease.

So now more and more teams are beginning to do data filtering first, and then do batch contact.

Three common mass sending modes

Cast a wide net model

Great reach, but low conversion rate.

Label marketing model

Categorize according to interests and behaviors to improve efficiency.

High value user model

Prioritize reaching active users and high-value users.

From the actual effect, the input-output ratio of the third mode is usually higher.

Because resources are concentrated on truly valuable people.

Data quality determines mass sending efficiency

Many teams like to study:

when to send;

How many messages to send;

How to write copy.

But the most basic issues are often overlooked.

Whether the sending object is worth sending.

If the users themselves are no longer active, or cannot be reached at all, no matter how good the content is, it will be difficult to produce results.

Therefore, user filtering is even more important than content optimization.

Many teams will put Digital Planet before the group sending system

In actual operations, more and more teams will use Digital Planet to complete data preprocessing before users import it.

Mainly include:

lMobile phone number validity detection;

lWhatsApp activation recognition;

lTelegram account status detection;

lTwitter user identification;

lFacebook registration detection;

lUser activity index evaluation;

lDuplicate data cleaning;

lAnalysis of high-value user tags.

After completing the filtering, importYouTube group messaging system.

This allows sending resources to be more focused on real users.

A team found in actual operations that for the same sending cost, after the user quality is improved, the overall response rate and conversion rate will change significantly.

Mass messaging is not the goal, continuous contact is

A truly mature operating system rarely relies on one mass distribution to obtain all results.

More often, a set of long-term links will be formed:

Content attracts users;

User enters the system;

The data is filtered;

automatic touch;

ongoing operations;

Eventually a transformation occurs.

In this process, mass sending is only one part of the process.

User quality, data structure and subsequent operation capabilities are the keys to determining growth effects.

In the future, automated marketing will become more and more popular, but what really widens the gap is data quality.

After all, sending a message to the right person is always more important than sending more messages.

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