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Rewards in Masivo

To create a reward in Masivo, first navigate to the Rewards section in the dashboard. You can find them in the left sidebar. To create a new reward, click the New reward button. Then choose the type of reward you want to create. Each type of reward needs different information to be created. Learn how to configure each type below:

Points Rewards

Points are usually given for purchases or other actions you want to encourage. Customers can accumulate these points and redeem them for rewards. When creating a Points reward, you need to set the Name and the Conversion factor. The Conversion factor is the amount of money each point is worth. For example, if you set the Conversion factor to 0.10, each point will be worth 0.10 dollars. Want to see a step-by-step guide? Watch how to configure points rewards.

Discount Rewards

Discounts are a great way to encourage customers to make a purchase. You can offer discounts on order value, specific products, or shipping costs. When creating a Discount reward, you can configure:
  • Discount type: Percentage off or fixed amount off
  • Discount value: The amount or percentage of the discount
  • Apply to: Order value, product in order, or shipping
Want to see a step-by-step guide? Watch how to configure discount rewards.

Product Rewards

Product rewards are a great way to promote new products or clear out old stock. You can offer them in two ways: adding a product to the order or replacing a product in the order. When creating a Product reward, you can configure which products to offer and any conditions that must be met for redemption. Want to see a step-by-step guide? Watch how to configure product rewards.
That’s it! You have created a reward that your customers can start accumulating.

Next steps

Once your rewards are active, you can track how customers are using them:
  • View analytics: Navigate to Analytics > Rewards to see redemption rates, popular rewards, and customer engagement
  • Export data: Learn how to export analytics tables to CSV for deeper analysis and reporting on reward performance