Want to improve the conversion rate of bulk SMS messages in the US? Try filtering out "highly active" WhatsApp users first.

In the digital marketing field, bulk SMS messaging remains an effective channel for many businesses to reach customers. However, as users' attention is increasingly scattered across different SMS messages, traditional bulk SMS methods often face challenges such as low open rates and low conversion rates. Overcoming this bottleneck hinges on precise targeting—especially first identifying "highly active" WhatsApp users and then targeting them with SMS marketing, which can significantly improve marketing effectiveness. This article will explore how to optimize bulk SMS strategies by identifying highly active users to achieve higher conversion rates.

Why does filtering for highly active WhatsApp users improve SMS conversion rates?

1. Highly active WhatsApp users are more likely to engage.
   They typically use their phones frequently, enjoy receiving messages, and respond positively to brand interactions. These users are more likely to open messages, click links, and complete purchases.

2. Reduce ineffective costs
   by avoiding sending SMS messages to suspended or inactive users, thereby reducing waste and improving ROI. Filtering for highly active users can effectively eliminate ineffective targets and improve return on investment.

3. Enhancing the foundation of personalized marketing:
   Behavioral data of highly active users on WhatsApp (such as chat frequency and group engagement) can provide businesses with insights to create more personalized SMS content.
   
   

What constitutes a truly "highly active" user?

Highly active users are not simply identified by whether they have registered, but rather through a comprehensive evaluation:

• When was the user last logged in?
• How frequently did you interact over the past week?
• Do you frequently participate in group discussions or reply to messages?
• Have you ever asked for shopping advice or service requests?

Using ITG's global filtering tools , businesses can accurately identify truly high-active users based on multi-dimensional data analysis. This process effectively avoids wasting marketing resources on "zombie users."

How to identify highly active users through ITG's full-domain filtering?

1. Multi-dimensional Activity Assessment: TG's comprehensive screening doesn't just look at a single metric, but rather employs a holistic analysis.
   • Recent Activity Time: Stratified by the last 24 hours, 7 days, and 30 days.
   • Interaction Frequency: Daily average number of messages, reply rate, group participation.
   • Behavioral Patterns: How often do they view commercial information and click links?

2. Dynamic Tagging System: The system automatically tags users.
   • High Activity: Frequent recent use and active interaction.
   • Medium Activity: Regular use with some interaction.
   • Low Activity: Rare use and almost no interaction.
   • Silent User: No activity for over 90 days.

3. Real-time update mechanism: User status is automatically updated as behavior changes, ensuring that the filtering results are always accurate.
   
   

How to optimize SMS content after filtering?

The SMS messages need to be specially designed for the selected highly active users:

SMS strategy for high-activity users:

• The content is more direct: they are already familiar with the brand and can get straight to the point.
• More clearly defined value: providing exclusive offers or priority services.
• More interactive: Encourages immediate responses or participation in activities

Comparison Example:
Regular SMS: "20% off sitewide, welcome to shop"
For highly active users: "Mr. Zhang, your VIP exclusive 40% off coupon is about to expire. Click to use it now: [link]"

By using personalized content, the average conversion rate of highly active users can be increased from 2-3% to 8-12% for ordinary users.

Detailed Explanation of Implementation Steps

1. Data import and cleansing
   imports existing customer data into the ITG system, automatically cleaning invalid numbers and duplicate data.

2. The activity analysis
   system analyzes each user's behavioral data on WhatsApp and automatically categorizes it.

3. Implement a tiered strategy
   : • Highly active users: Prioritize sending core promotional messages.
   • Medium-active users: Send wake-up messages + light promotions.
   • Low-active users: Send valuable content first to rebuild connection.

4. Performance tracking and optimization
   : Monitor conversion data for each user type and continuously optimize delivery strategies.
   
   

Conclusion

Bulk SMS remains an efficient way for businesses to reach customers in the US, but the era of indiscriminate messaging is over. By first identifying "highly active" WhatsApp users, businesses can significantly improve SMS open rates, engagement rates, and conversion rates. Leveraging tools like ITG's comprehensive filtering, combined with personalized content and precise timing, bulk SMS in the US can not only reduce costs but also become a growth engine.