How to use the online mass text messaging system? 7 Steps to Automate Bulk SMS Marketing

Although there are more and more social platforms, SMS marketing has not disappeared. For cross-border e-commerce, financial services, local life and membership operations, SMS is still a low-cost and stable reach rate method.

However, when many people use an online mass text messaging system for the first time, they tend to pay more attention to the sending platform and ignore the entire marketing process.

In fact, sending text messages is only the last step, and the quality of the previous data is the key to the real effect.

The first step is to prepare user data

The basis of SMS marketing is user data.

Sources typically include:

lHistorical customer list;

lRegistered users of the website;

lAdvertising deposit-retaining users;

lCommunity user resources;

lCRM database.

A large amount of data does not mean that the effect will be good, and further screening will be needed later.

The second step is to clean the number before sending it.

A lot of text message cost is wasted because there are too many invalid numbers.

Frequently asked questions include:

lempty number;

lshutdown number;

lDuplicate number;

lThe number is not used for a long time;

lWrong format number.

Therefore, it is very important to clean the number before sending.

At present, many teams will first complete pre-processing through Digital Planet.

include:

lMobile phone number valid detection;

lEmpty number filtering;

lDuplicate number cleaning;

lWhatsApp status recognition;

lTelegram account detection;

lUser activity index analysis;

lHigh-value user screening.

After processing, entering the SMS system can significantly reduce invalid sending.

The third step is to classify users

Different users should not receive the same content.

Generally it will be divided into:

lold customers;

lnew user;

lactive users;

lsilent user;

lHigh value users.

Different labels correspond to different marketing strategies.

The more granular the classification, the higher the conversion rate is usually.

Step 4: Prepare text message content

Longer content is not necessarily better.

The focus should be on:

lDiscount information;

lactivity time;

lproduct value;

lcontact details;

lAction guidance.

Being simple and direct often makes it easier to get feedback.

Step 5: Send in batches

After completing the previous preparations, enter the sending stage.

Need attention:

lCountries and regions;

lsending time;

lsending frequency;

lnumber of users;

lChannel stability.

Properly controlling the sending rhythm can improve the overall delivery rate.

Step 6: Track performance data

The end of sending does not mean the work is done.

Still need to continue to observe:

larrival rate;

lclick rate;

lresponse rate;

lconversion rate;

lUser retention.

Continuously adjust content and user classification through data feedback.

Step 7: Establish an automated marketing process

Mature teams rarely rely on one-off blasts.

More common is to build automated processes.

After the user enters the system:

Complete number detection;

automatic classification;

Trigger text message sending;

Track user behavior;

On to the next round of marketing.

The entire process can continue to cycle.

Why more and more companies pay attention to SMS marketing automation

As the cost of acquiring customers continues to rise, repeat acquisition of traffic is becoming more and more expensive.

The greatest value of SMS marketing lies in activating existing user resources.

It’s often less expensive to reawaken old customers than to continually find new ones.

Therefore, more and more companies are beginning to combine SMS systems, user databases and data cleaning tools.

Digital Planet is responsible for data screening, and the SMS system is responsible for reaching.CRM is responsible for subsequent operations.

When the three form a closed loop, the utilization rate of user assets will become higher and higher.

A lot of growth comes not from more traffic but from more efficient use of the data you already have.

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