Individual offers within a Loyalty program
Marketing offers for Loyalty Program customers are implemented at different levels. They depend directly on the size of the target audience and the expected result that the Partner wants to achieve. The smaller the size of the target audience, the more difficult it is to configure mechanics in the System, but the level of offer individualization increases so that customers receive more profitable offers.
A diagram below shows the dependence of the level of offer individualization on the size of the target audience.
Let's analyze each level of the scheme (from bottom to top):
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Individual offers in the Loyalty Program
Favorite products, Favorite categories and Personal offers are special engagement mechanics that are configured in the System. Such mechanics include not one offer, but a whole range of actions and settings, the creation of certain entities in the MMP. You can read more about such complex mechanics in special article. Each mechanic has certain features. Let's take a closer look at the features of each mechanics.
Features | Favorite products | Favorite categories | Personal offers |
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The principle of mechanics work | The mechanics is based on the creation of personal products. This makes it possible to implement favorite product cells for the LP Member. They are special places for placing data about a favorite product. Several of these cells form sets of favorite products. | Favorite categories are product groups formed by some attribute. The mechanics of favorite categories is based on upoading customer attributes, in which data about his favorite categories are loaded for each LP Member. The mechanics is implemented by setting up a special plugin. | The mechanics is based on uploading client attributes, which may contain information about the terms of a personal offer, offer products, sizes and types of preferences, etc. When Machine Learning (ML) module is connected, it is possible to configure personal offers using Machine Learning mechanics. Such offers can be displayed in the Mobile Application. |
Method of forming lists of products/categories/offers | There are two ways of forming product lists:
| Data about favorite categories (groups of products), preferences and the duration of the offer is uploaded into each LP Member attribute. An offer with favorite categories is configured once, as all its conditions will be uploaded from the attributes of specific LP Member. | Data on personal offers are uploaded for each LP Member attribute: terms of the offers, products, size and type of preference, etc. |
The opportunity for the LP Member to independently choose products/categories | Yes, the LP Member can independently choose his favorite products in customer services. | Yes, the LP Member can independently choose his favorite categories in client services. | No, LP Member can only view their personal offers in client services in the corresponding section. |
The ability to automatically assign products/categories to the LP Member | Yes. If a LP Member has unfilled cells of favorite products, the System can automatically fill them in, if a special offer is set up. | No. When setting up the mechanics, files with attribute values which store information about the favorite categories of LP Member are imported into the System. | No. When setting up the mechanics, files with attribute values which store information about the personal offers of LP Member are imported into the System. |
The ability to edit products/categories via the MMP | Yes. The MMP user who has the necessary role or rights, can change the customer favorite products through customer profile in CRM or Contact Center. | No | No |
The number of products for which preferences are provided | The number of favorite products is configured while creating personal products. | The number of products depends on the product group that is created when setting up the mechanics. | The number of products is specified when setting up the mechanics (at the stage of attribute formation). |
Reference material about individual offers
Favorite products | Favorite categories | Personal offers |
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