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Segmentation Use Cases

Use cases on how to fully utilize Customer Segmentation combined with other Gameball features.

Habiba Elsafty avatar
Written by Habiba Elsafty
Updated this week

Platform

Plan

Shopify

Free, Starter, Pro, & Guru

Salla

Starter, Pro, & Guru

Non-platform clients

Growth & Enterprise


Segmentation is one of the most impactful tools you can use to personalize your marketing efforts and increase return on investment (ROI). With Gameball’s segmentation feature, you can identify and act on specific customer behaviors, interests, and engagement levels to optimize your communication and retention tactics.

Targeting the mass market without distinction is no longer an effective approach. Instead, focusing on well-defined customer segments allows you to deliver the right message to the right audience. This article demonstrates how to build and engage with three critical customer segments using Gameball’s segmentation and other platform features.


Customer Segments and Tactics

Gameball enables you to identify and engage with multiple customer segments. Below are three common and highly valuable segments you may want to target, along with tactics to improve their engagement:

  • The Champions: Your top-performing VIP customers who contribute a significant portion of your revenue.

  • Product Viewers: Customers who explore your products but do not proceed to checkout.

  • Slipping Away Customers: Customers who are showing signs of churn and disengagement.


The Champions (VIP Customers)

Identify Bases for Segmentation

A VIP customer could be someone who:

  • Made a purchase within the last 30 days

  • Spent over $5,000 in total

Create a New Segment

  1. Select Customer Attribute as the segmentation type.

  2. Use Last Order Date as the filter attribute, set the operator to less than, and set the time frame to 30 days.

  3. Add another filter: Total Amount Spent with the operator greater than and the value set to $5,000.

Alternative Segment Criteria

You may also define VIP customers as those who:

  • Placed more than 5 orders

  • Referred more than 3 friends

  • Redeemed points recently

Create a New Segment

  1. Select Event as the segmentation attribute and choose Place Order, with Count greater than 5.

  2. Add a Customer Attribute for Total Referrals greater than 3.

  3. Optionally, filter by Last Redemption Date less than 3 days.

Use Other Gameball Features

  • Create a custom reward campaigns for this segment to earn extra points.

  • Visit the configured segment, click Reward a Challenge, and assign a pre-configured challenge with tailored rewards.


The Product Viewers

Identify Bases for Segmentation

For instance, if your jeans product page is frequently visited but sees low conversions:

Create a New Segment

  1. Choose Event as the segmentation type.

  2. Select View Product Page, and use the First Occurrence greater than 30 days.

  3. Add a second filter:

    • Event: View Product Page

    • Add an Event Filter: Product Title contains "jeans"

Use Other Gameball Features

  • Create a special redemption rule for this segment under Points Redemption Settings.

  • Offer promotional discounts specific to the product category.


The Slipping Away Customers

Identify Bases for Segmentation

Disengaged customers are at high risk of churn. You may consider a customer as slipping away if:

  • No orders in the last 90 days

  • No website visits in the last 60 days

  • No point redemptions in the last 90 days

Create a New Segment

  1. Use Customer Attribute: Last Order Date More than 90 days

  2. Add Customer Attribute: Last Login Date greater than 60 days

  3. Add Customer Attribute: Last Redemption Date greater than 90 days

Use Other Gameball Features

  • Create a scheduled challenge for this segment with an achievement reward.

  • Set up an email notification to communicate the reward and encourage re-engagement.


Important Notes

  • All segments in Gameball are dynamic. This means the system continuously updates customer groupings based on real-time behavior and data.

  • Avoid static segmentation to ensure ongoing relevance and effectiveness of your campaigns.


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