Segments

Segmentation User Manual: Unleash the Power of Targeted Marketing

Now, let's start to elevate your marketing strategies with our UEngage dynamic segmentation.

I. For those who are NOT familiar with Haravan or KiotViet

Currently, this feature is limited to users who have integrated with either "Haravan" or "KiotViet". If you're unfamiliar with these platforms and still wish to manually diversify your customer segmentation, please refer to our extensive resource section. We provide a wealth of materials to guide you through the manual process seamlessly.

II. For those who are familiar with Haravan or KiotViet BUT did not integrate to UEngage yet

If you are using Haravan or KiotViet but did not integrate with UEngage yet, please check our Integrations.

III. For those who are familiar with Haravan or KiotViet AND did intergrate with UEngage

These are the options available for creating a new segment, which you can find in the "Segment" section of campaign set creation:Choose segment: Select the object that already exists or is available on the system.

Age:

Target the age group who will see the campaign

  • Example: Consumer segment in the age from 13-40 years old, or only above 65 years old.

Gender:

Select the targeting gender for whom the campaign will display: MALE - FEMALE or ALL for both.Time Range : Choose the period of time in which the behaviors are conducted.

  • Example: Consumer segment in the 7 days ago.

Behavior:

Filter the consumer segment base on their behaviors within the app/website

  • Example: Consumer segment who only VIEW the products

Frequency: The number of times the behaviors are conducted.

  • Example: Consumer segment who buys the product more than 3 times in the 7 days ago.

Amount: the total amount of money spent by the consumer segment.

  • Example: Consumer segment who spent at least 1.000.000 VNĐ in the 7 days ago.

Product: Filter the consumers who interact with the specific product.

  • Example: Consumer segment who had bought OMO at least 1 time, or who bought OMO but didn’t buy Comfort, etc.

Merchant: choose the audiences who interact with partners.

  • Example: Consumer segment who view Coop Mart’s products.

Here are the examples of real life examples with actions:

  • Age:

    • Problem: A clothing retailer is struggling to reach its target audience of young adults.

    • Solution: The retailer develops a segmentation model that targets consumers aged 25-34 who have purchased something in the past 7 days and have a minimum purchase frequency of 2 times per month.

  • Gender:

    • Problem: A cosmetics company wants to promote its new line of men's skincare products.

    • Solution: The company partners with a data analytics firm to develop a segmentation model that identifies male consumers aged 18-55 who have purchased skincare products in the past 30 days and have shown interest in men's grooming content online.

  • Behavior:

    • Problem: An e-commerce store is struggling to convert website visitors into customers.

    • Solution: The store implements a real-time segmentation system that tracks the behavior of website visitors and identifies those who have viewed product pages related to a specific category (e.g., women's fashion) for more than 2 minutes and have added items to their cart. The system then delivers personalized recommendations to these visitors based on their browsing history and cart contents.

  • Purchase history:

    • Problem: A software company wants to increase sales of its new product upgrade.

    • Solution: The company develops a predictive analytics model that analyzes customer purchase history to identify customers who have purchased the previous version of the product, have made a minimum of 5 software purchases in the past year, and have an average order value of over $100. The company then targets these high-value customers with personalized marketing messages about the new product upgrade.

  • Location:

    • Problem: A restaurant chain is looking to attract more customers to its new location in a suburban area.

    • Solution: The chain partners with a local marketing agency to develop a hyperlocal segmentation strategy. This strategy involves identifying micro-segments of consumers within the suburban area, such as families with young children (aged 2-10) who live within a 5-mile radius of the new location and have dined at family-friendly restaurants in the past month. The chain then develops targeted campaigns for each segment, highlighting the restaurant's kid-friendly amenities and family-friendly menu.

  • Interests:

    • Problem: A magazine publisher is trying to attract more subscribers to its online magazine.

    • Solution: The publisher develops a multi-channel segmentation strategy that leverages data from its website, social media, and email marketing campaigns. This strategy involves identifying potential subscribers based on their interests in specific topics (e.g., travel, technology, or business) and their engagement with the publisher's content across different channels. The publisher then sends targeted emails to these potential subscribers with links to articles and content that align with their interests.

Now that you've mastered the art of segmentation, it's time to unleash the power of personalized content. Embark on a journey to the Content Library, where you can seamlessly craft captivating landing pages, engaging forms, and persuasive Zalo SMS messages with the assistance of our cutting-edge AI technology. Let's elevate your marketing efforts to new heights with personalized content that resonates with your target audience.

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