AOD Auto Tags Customer & Order

Add & remove customer tag & order tag based on various rules.

Free plan available. 1-day free trial.

App highlights

  • Seamless workflow: use directly in Shopify admin

  • Speed tested: no impact to your online store

Auto tager

Key values section

Easy orders management.

Filter your orders by tags and make the order management process easy.

Save your time.

Save your time by auto-tagging orders to help you focus on other useful business aspects.

Easy to use.

Get started easily. Simply install and start creating smart order tag rules.

App details

AOD Auto Tags Customer & Order

AOD Auto Tags Customer & Order

Why tag an order?

Applying tags to orders can help to filter them based on a particular set of criteria. For example, you might want to filter all orders that have been placed with a specific location so that you can fulfill them quickly, or, you might like to filter and identify orders placed by first-time customers so that a welcome gift can be placed in their order.

Tagging Orders is a vital step in building automation workflows for the processing and fulfillment of orders. Why waste time manually tagging each order when you can create a set of rules to take care of the order tagging?

Can I auto-tag previous orders?

Yes, You are able to tag your all previous orders using the "Tags Previous Order" feature.

What rules can I apply using Order Tagger?

Order Tagger automatically tags orders based on a variety of conditions. You simply create a rule and then when an order matches that rule, we tag it. This allows you to group your orders based on tags to streamline your fulfillment process, highlight particular orders, and much more.

Why tag a customer?

Applying tags to customers can help to filter them based on a particular set of criteria. For example, you might want to filter the wholesale customers, etc.

What rules can I apply using customer Tagger?

customer Tagger automatically tags customers based on a variety of conditions. You simply create a rule and then when an order matches that rule or new customer signup, we tag it. This allows you to group your customer based on tags to streamline your customers, highlight particular customers, and much more.

Auto tags orders and customers by:

  • Fulfillment Location - tagged order based on the fulfillment location.
  • POS - tagged order based on the POS location.
  • Order Risk - tagged order based on order risk level.
  • Pre Order - matches the condition with the product variant quantity.
  • Order count - matches the condition with the customer's total order count.
  • Shipping Provider - tag base on the shipping provider like UPS, etc...
  • POS - Tag order or customer if the order is placed by the POS device.
  • SKU - Tag order base on the SKU.
  • Payment Methods - Tag based on the Payment Method like COD, money order, bank deposit, etc
  • Products (including variants) - checks the order line item.
  • Collections - checks if a product belongs to the selected collection
  • Order amount - matches the condition with the order total amount
  • Number of orders - matches the condition with a number of total orders
  • Current customer tag - If a customer has a specific tag
  • Tag by discount code - Tag all the customers who use specific discount codes.
  • + more than 60+ rules.

Installation

It doesn't require any coding or changes to the theme.

The app also supports previous order tagging based on your rule.

Launch date

AOD Auto Tags Customer & Order

AOD Auto Tags Customer & Order

Why tag an order?

Applying tags to orders can help to filter them based on a particular set of criteria. For example, you might want to filter all orders that have been placed with a specific location so that you can fulfill them quickly, or, you might like to filter and identify orders placed by first-time customers so that a welcome gift can be placed in their order.

Tagging Orders is a vital step in building automation workflows for the processing and fulfillment of orders. Why waste time manually tagging each order when you can create a set of rules to take care of the order tagging?

Can I auto-tag previous orders?

Yes, You are able to tag your all previous orders using the "Tags Previous Order" feature.

What rules can I apply using Order Tagger?

Order Tagger automatically tags orders based on a variety of conditions. You simply create a rule and then when an order matches that rule, we tag it. This allows you to group your orders based on tags to streamline your fulfillment process, highlight particular orders, and much more.

Why tag a customer?

Applying tags to customers can help to filter them based on a particular set of criteria. For example, you might want to filter the wholesale customers, etc.

What rules can I apply using customer Tagger?

customer Tagger automatically tags customers based on a variety of conditions. You simply create a rule and then when an order matches that rule or new customer signup, we tag it. This allows you to group your customer based on tags to streamline your customers, highlight particular customers, and much more.

Auto tags orders and customers by:

  • Fulfillment Location - tagged order based on the fulfillment location.
  • POS - tagged order based on the POS location.
  • Order Risk - tagged order based on order risk level.
  • Pre Order - matches the condition with the product variant quantity.
  • Order count - matches the condition with the customer's total order count.
  • Shipping Provider - tag base on the shipping provider like UPS, etc...
  • POS - Tag order or customer if the order is placed by the POS device.
  • SKU - Tag order base on the SKU.
  • Payment Methods - Tag based on the Payment Method like COD, money order, bank deposit, etc
  • Products (including variants) - checks the order line item.
  • Collections - checks if a product belongs to the selected collection
  • Order amount - matches the condition with the order total amount
  • Number of orders - matches the condition with a number of total orders
  • Current customer tag - If a customer has a specific tag
  • Tag by discount code - Tag all the customers who use specific discount codes.
  • + more than 60+ rules.

Installation

It doesn't require any coding or changes to the theme.

The app also supports previous order tagging based on your rule.

Launch date

Pricing 1-day free trial

Basic

$12.99/month

  • Unlimited Order Tagging rules
  • Bulk Previous order Auto-tagging
  • Bulk Previous order tag removing

Free

Free

  • Create one Tagging rule
  • Auto tag customer or order based on the rule.
  • Remove tag from the customer or order based on the rule.

* All charges are billed in USD.
** Recurring charges, including monthly or usage-based charges, are billed every 30 days.

Reviews

4.6 of 5 stars

The overall rating reflects the current state of the app. It accounts for all app reviews but prioritizes the most recent ones.

Counts per rating level
  • 79% of ratings are 5 stars
  • 4% of ratings are 4 stars
  • 4% of ratings are 3 stars
  • 0% of ratings are 2 stars
  • 14% of ratings are 1 stars

List of reviews

Filter and sort reviews

  • Moodcast Fragrance Co.

    Location United States
    Time spent using app About 1 year

    This app works perfectly. There was a feature I wanted to have and asked about it. A few days later, they added it in. Fantastic customer service. I use this app to mark orders as wholesale when customers buy certain items. I also have it tag the order notes where I put the PO numbers so that I can search by PO number in the Shopify order search bar. Makes things much easier to look up.

  • Synty Store

    Location New Zealand
    Time spent using app 4 days

    The pricing of this app is good. I would pay more if the back dated tagging of orders would allow me to set it up and run on more than 20,000 at a time. For our volume it's still a very manual process.

  • Katie J Design and Events

    Location Australia
    Time spent using app 3 days

    Amazing App and Fantastic Customer Service! They helped me setup a complicated auto tag rule on our site, and it works perfectly. Highly recommend :)

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