Packages and Platforms
Platform Plan Non-platform All Shopify Add-on Salla Add-onOverview
The Data Warehouse Ingestion Module allows you to push selected loyalty data directly into your own data warehouse. This enables you to combine Gameball data with data from other business systems and analyze everything in one centralized analytics environment. This feature was designed primarily for you if you already rely on internal dashboards and BI tools (such as PowerBI, Metabase, or similar) for daily reporting and decision-making. Instead of building and maintaining analytics separately inside each tool, businesses can centralize their data in a data warehouse and build unified dashboards across all systems.Why This Feature Exists
Most large organizations already store their operational data in a data warehouse, which acts as a single source of truth. Data from multiple systems—such as order management, inventory, CRM, and communication tools—is pushed into the warehouse and then consumed by analytics tools. With the Data Warehouse Ingestion Module, Gameball becomes part of this ecosystem. You can now:- Combine loyalty data with revenue, inventory, and customer communication data
- Build cross-system dashboards in one place
- Run advanced analysis without relying solely on Gameball’s in-dashboard reports
How You Typically Use It
A common setup looks like this:- Order / POS system (e.g. Microsoft Dynamics) → pushes revenue and order data
- Inventory management system → pushes stock and product data
- Customer engagement platform (e.g. Braze) → pushes communication and campaign data
- Gameball → pushes loyalty and rewards data
- How does revenue trend by loyalty tier?
- How many points were earned from completed orders?
- What is the distribution of customers across tiers?
- How do loyalty actions correlate with repeat purchases?
Available Gameball Data Models
Gameball currently provides four built-in data models that can be pushed to a data warehouse. You can choose which models to enable during setup.1. Members
Contains customer-level loyalty data, including:- Customer ID
- Display name
- Current tier name
- Referral status
- Total earned points
- Total expired points
- Additional loyalty-related attributes
2. Transactions
Represents all points and order-related movements, including:- Transaction ID
- Points earned from orders
- Points redeemed
- Points expired
- Transaction type
- Direction (points added or deducted)
- Related transaction details
3. Achievements
Includes all loyalty events and campaign-related actions, such as:- Reward campaign achievements
- Referrals
- Tier upgrades
- Tier downgrades
4. Coupons
Contains coupon-related data, including:- Coupon code
- Coupon type
- Coupon status
- Other coupon attributes
Example Use Case
You may want to build a dashboard showing:- Revenue from your order management system
- Points earned from those same orders (from Gameball)
How to Set Up the Integration
To configure the Data Warehouse Ingestion Module:- Go to Admin Settings in the Gameball dashboard
- Navigate to Data Warehouse Integration
- Click Set Up Connection

Step 1: Select Data Warehouse Provider
Choose your data warehouse provider (for example, Amazon Redshift), then click Next.Step 2: Add Connection Details
Enter the required account and connection details, then click Next.Step 3: Define Data Push Frequency
Choose how often Gameball should push data:- Daily
- Weekly
- Monthly
Step 4: Select Data Models
Choose which Gameball data models you want to push (Members, Transactions, Achievements, Coupons).Step 5: Submit Request
Once submitted, the request is sent to Gameball’s technical team.What Happens After Submission
The connection is not established automatically.- The setup acts as a configuration and request flow
- Gameball’s technical team manually completes the integration
- Once ready, the connection status will change to Connected
Availability & Enablement
The Data Warehouse Ingestion Module is offered as an add-on. To use it:- The feature must be enabled on your account
- You should coordinate with your Customer Success Manager to start the implementation process