Customers relationship management

Август 8, 2022

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Customers relationship management

Содержание

2. Delivery service of fresh, tasty, nutritious meals made from natural products, designed specifically for you. Choose
3. Customer Profile Gender:Male and Female Age:18-55 Race/Ethnicity: European and Asian Occupation:Worker Lifestyle:Active Social level:Middle and High
4. One-to-One Marketing -Call to our service with your registered mobile number or by our mobile app
5. Customization and Personalization Customization and Personalization -Costumers can get nutritionist support, they will feel individual approach.
7. Communicate Channels Communicate Channels -Online Call Center -Line -Facebook -VK -Service's official website -Email -Instagram -Periscope
9. Data Mining 1. Clustering -We segment a particular customers into the distinct groups based on their
11. Association Association is useful for analyzing and predicting customer behavior. We try to make Up-Selling and
13. Prediction Sales analysis We collect information about customer's historical purchasing to predict sales. By prediction we
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Delivery service of fresh, tasty, nutritious meals made from natural

products, designed specifically for you. Choose a meal that fits your lifestyle.

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Customer Profile
Gender:Male and Female
Age:18-55
Race/Ethnicity: European and Asian
Occupation:Worker
Lifestyle:Active
Social level:Middle and High
Household Income:

1500$ and up

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One-to-One Marketing
-Call to our service with your registered mobile number

or by our mobile app and we will know your address as well as your favorite side orders. You can repeat your last order once you call. And you don’t have to tell your address again and again for home delivery. We already know your address and have registered it against your mobile number.

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Customization and Personalization
Customization and Personalization
-Costumers can get nutritionist support, they will

feel individual approach.
-Сustomers can create a personalized menu, or choose ready-made diets according to their way of life. They also can get support and advice for make their menu.

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Communicate Channels
Communicate Channels -Online Call Center -Line -Facebook -VK -Service's official website -Email -Instagram -Periscope

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Data Mining
1. Clustering
-We segment a particular customers into the distinct groups

based on their goals and preferences.
We will have three groups
1. Who want gain weight
2. Who want loose weight
3. Who want maintain a healthy lifestyle

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Association
Association is useful for analyzing and predicting customer behavior. We try

to make Up-Selling and Cross Seling. For example: if we know that customer make order for party, then we can offer some sweets for desert and snacks. It's also important part in shopping basket data analysis, product clustering, catalog design and store layout.

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Prediction
Sales analysis
We collect information about customer's historical purchasing to predict sales.

By prediction we will know how to act in future and and reduce risks.

Customers relationship management

Содержание

Delivery service of fresh, tasty, nutritious meals made from natural

Customer Profile Gender:Male and FemaleAge:18-55Race/Ethnicity: European and AsianOccupation:WorkerLifestyle:ActiveSocial level:Middle and HighHousehold Income:

One-to-One Marketing -Call to our service with your registered mobile number

Customization and Personalization Customization and Personalization-Costumers can get nutritionist support, they will

Communicate Channels Communicate Channels -Online Call Center -Line -Facebook -VK -Service's official website -Email -Instagram -Periscope

Data Mining 1. Clustering -We segment a particular customers into the distinct groups

Association Association is useful for analyzing and predicting customer behavior. We try

Prediction Sales analysisWe collect information about customer's historical purchasing to predict sales.

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