Marketing tools

Marketing tools for Shop-Script

Advanced maketing tools

You have more than 70 conditions to identify the order. With the possibility of grouping conditions the number of different options is almost unlimited.

What problem solves the plugin?

Previously, it was not possible to assess the effectiveness of promotions: how many orders are issued, what is the average check, the number of sales and so on. You cannot associate orders with promos. As a consequence, the lack of proper Analytics, incorrect data.

What solution does the plugin offer?

Track orders by required features.

You can not only follow the promotions, but also work with regular orders.

Example of use:

  • Collect orders with total price more than $1000.
  • Follow the orders of certain categories of customers.
  • Collect order's data made on weekends, birthdays, for a certain period of time.
  • Collect orders with certain products brands.
  • Associate orders with promos issued by people from certain cities.
  • etc.

List of all conditions

Conditions are divided into groups:

1. Product

  • Product category
  • Product category and subcategories
  • Product set
  • Product type
  • Single product
  • Product features

2. Product properties

  • Product name
  • SKU code
  • SKU name
  • Product summary
  • META title
  • META keywords
  • META description
  • Product description
  • Product create datetime
  • Product age
  • Product edit datetime
  • Does product has video
  • Does product has image
  • Product rating
  • Product rating count
  • Product price
  • Product compare price
  • Product purchase price
  • Product price - Product purchase price
  • Product price - Product purchase price (in percents from price)
  • Product price - Product purchase price (in percents from purchase price)
  • Product compare price - Product price
  • Product compare price - Product price (in percents from compare price)
  • Product compare price - Product price (in percents from price)
  • Product services
  • Product tags

3. Order items

  • Total quantity of all products
  • Quantity of product
  • Quantity of product from category
  • Quantity of product from category and subcategories
  • Quantity of product from set
  • Quantity of product from type
  • Quantity of all products from category
  • Quantity of all products from category and subcategories
  • Quantity of all products from set
  • Quantity of all products from type
  • Quantity of products with features
  • Quantity of unique items
  • Total price of all products
  • Total price of products from category
  • Total price of products from category and subcategories
  • Total price of all products with features
  • Total sum of features values
  • Price of each product

4. Order properties

  • Order price without discount
  • Order price with discount
  • Order discount
  • Order currency
  • Shipping
  • Payment
  • Shipping price
  • Tax
  • Shipping country/region
  • Shipping city
  • Sales channel
  • Coupon
  • Does order has coupon
  • Storefront

5. User

  • User category
  • User
  • User create datetime
  • User data (Name, second name, email, type of client and other fields of contact)
  • User birthday (+- some days)
  • Country of the user, placed the order (by IP)
  • City of the user, placed the order (by IP)

6. Date and time

  • Date
  • Day of week
  • Time