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ShopifyStarter, Pro, & Guru
SallaPro, & Guru
Non-platform clientsGrowth & 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.

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Customer Segments and Tactics

Gameball enables you to identify and engage with multiple customer segments. Below are four common and highly valuable segments, along with tactics to improve their engagement:
SegmentDescription
The ChampionsYour top-performing VIP customers who contribute a significant portion of your revenue.
Product ViewersCustomers who explore your products but do not proceed to checkout.
Slipping Away CustomersCustomers who are showing signs of churn and disengagement.
The BuyerSegments customers into groups based on different purchasing behavior.

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The Champions (VIP Customers)

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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

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Create a New Segment

1

Select Customer Attribute

Select Customer Attribute as the segmentation type.
2

Set Last Order Date Filter

Use Last Order Date as the filter attribute, set the operator to less than, and set the time frame to 30 days.
3

Add Total Amount Spent Filter

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

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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
1

Add Place Order Event

Select Event as the segmentation attribute and choose Place Order, with Count greater than 5.
2

Add Total Referrals Attribute

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

Add Last Redemption Date Filter

Optionally, filter by Last Redemption Date less than 3 days.
Alternative champions segment
Use Other Gameball Features
  • Create a custom reward campaign for this segment to earn extra points.
  • Visit the configured segment, click Reward a Challenge, and assign a pre-configured challenge with tailored rewards.

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The Product Viewers

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Identify Bases for Segmentation

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

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Create a New Segment

1

Select View Product Page Event

Choose Event as the segmentation type. Select View Product Page, and use the First Occurrence greater than 30 days.
2

Add Product Title Filter

Add a second filter:
  • Event: View Product Page
  • Add an Event Filter: Product Title contains “jeans”
Product viewers segment configuration
Use Other Gameball Features
  • Create a special redemption rule for this segment under Points Redemption Settings.
  • Offer promotional discounts specific to the product category.

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The Slipping Away Customers

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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

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Create a New Segment

1

Set Last Order Date Filter

Use Customer Attribute: Last Order Date More than 90 days.
2

Add Last Login Date Filter

Add Customer Attribute: Last Login Date greater than 60 days.
3

Add Last Redemption Date Filter

Add Customer Attribute: Last Redemption Date greater than 90 days.
Slipping away customers segment
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.

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The Buyer: Product-Level Order Segmentation

You can create highly targeted and personalized campaigns by analyzing specific product purchase behavior. Segment customers based on the exact products and quantities purchased in actual orders. For example:
  • Target customers who purchased a specific SKU.
  • Segment customers buying a particular category or high-quantity product.
Product Line Item Filters:
FilterDescription
Product IDTarget customers who purchased a specific product
SKUFilter by stock-keeping unit
CategorySegment by product category
CollectionTarget purchasers from a specific collection
Product TitleFilter by product name
Quantity PurchasedFilter by the quantity purchased per product
PriceFilter by price per line item
  • All segments in Gameball are dynamic. The system continuously updates customer groupings based on real-time behavior and data.
  • Avoid static segmentation to ensure the ongoing relevance and effectiveness of your campaigns.

How to Segment Customers

Learn how to create and manage customer segments using the segmentation engine.

Introduction to RFM Segments

Understand RFM analysis and how Gameball automatically segments customers.