Introduction to the Notification Flow

Platforms: All

Overview

In this article, we explore the definitions of various notification flows and conditional split filters within the AfterShip Tracking's notification flow. These notification flows encompass various stages of customer engagement, from email interactions to cart behavior and shopping activities. Understanding these flows and events is vital for timely communication and action. Additionally, we delve into conditional split filters, which enable businesses to segment customers based on specific conditions, such as cart value, order history, and demographic attributes.

What you'll learn

In this tutorial, we'll discuss:

Notification flows and their definitions
Conditional split filters and definitions

Notification flows and their definitions

The table below provides a comprehensive overview of various notification flows and flow logic elements involved in managing shipments and orders effectively.

Feature name	Sub feature name	Definition
Shipment status flow trigger	Info received	A trigger event related to receiving information about the shipment status.
	In transit	A trigger event indicating that the shipment is currently in transit.
	Out for delivery	A trigger event denoting that the shipment is out for delivery to the recipient.
	Available for pick up	A trigger event indicating that the shipment is ready and available for the recipient to pick up.
	Delivered	A trigger event confirming the successful delivery of the shipment.
	Exception	A trigger event indicating an exceptional circumstance or issue with the shipment.
	Failed attempt	A trigger event indicating a failed attempt to deliver the shipment.
Order status flow trigger	Order fulfilled/partially fulfilled/unfufilled	A trigger event based on the fulfillment status of an order.
Estimated delivery date flow trigger	Estimated delivery date revised	A trigger event indicating a revision or update to the estimated delivery date of an order.
	Estimated delivery date missed	A trigger event signifying that the estimated delivery date for an order has passed.
Trigger frequency	"Skip shipments that have been in this flow	[For shipment status trigger]"
	"Skip order fulfillment that have been in this flow	[For order fulfillment status trigger]"
Flow running logic	Conditional split	A logical branch within a flow where actions are taken based on specific conditions depending on customer's historical behaviors or customer attributes
	Flow filter	Flow filter and conditional split are similar in that they both utilize customer historical behaviors or attributes. The key distinction is that flow filter acts as a global filter applied to the entire flow, checking conditions before each step. Customers must meet these filter conditions to progress through the flow.
	Trigger split	A logical branch within a flow that splits based on specific trigger events or conditions depending on the values or parameters associated with the triggering event.
	Trigger filter	Trigger filter and trigger split share similarities as they both utilize the parameters of a trigger's event. However, the key distinction lies in their roles: while trigger split determines how the flow branches based on the event's parameters, trigger filter specifically determines which event triggers the flow to start or proceed.
	Random split	A random selection or branching within a flow that distributes recipients randomly among 2 paths.
Flow running timing	Time delay	A specified delay or waiting period within a flow before executing the next action or step.
	Trigger status unchanged	A condition within a flow that checks if the trigger status remains unchanged before proceeding to the next step.
Flow actions	Send email to customer	The action of sending an email to the customer as part of an automated flow.
	Send SMS to customer	The action of sending an SMS text message to the customer as part of an automated flow.
	Send email to org member	The action of sending an email to an organization member as part of an automated flow.
	Send SMS to org member	The action of sending an SMS text message to an organization member as part of an automated flow.

Conditional split filters and definitions

The table below provides an insightful overview of various customer behavior and attributes tracked within the AfterShip platform. From campaign interactions to shopping behavior and customer attributes, this comprehensive list offers valuable insights into customer engagement, preferences, and demographics.

Category	Filter	Definition	Who can access it?
Campaign behavior	Interacted with emails - Number of emails received	Total count of emails received by customers from AfterShip, including tracking notifications via our tracking app and marketing emails sent via our Automizely Marketing app	All users
	Interacted with emails - Number of emails opened	Number of emails that customers have opened among those sent from AfterShip, including tracking notifications and marketing emails sent via our Automizely Marketing app	All users
	Interacted with emails - Number of emails clicked	Number of emails that customers have clicked on among those sent from AfterShip, including tracking notifications via our tracking app and marketing emails sent via our Automizely Marketing app	All users
	Interacted with emails - Did not receive any emails	Customers who have not received any emails sent from AfterShip, including tracking notifications via our tracking app and marketing emails sent via our Automizely Marketing app	All users
	Interacted with emails - Did not click any emails	Customers who have not clicked on any emails sent from AfterShip, including tracking notifications via our tracking app and marketing emails sent via our Automizely Marketing app	All users
	Have not entered the flow	Customers who have not yet been triggered or initiated any specific tracking, order, or EDD (Estimated Delivery Date) flow within the system	All users
Cart Behavior	Current cart value	Current value (total price) of items in a customer's shopping cart on the website	Shopify users
	Current number of cart items	Current count of items in a customer's shopping cart on the website	Shopify users
	Products in cart	Specific products currently present in a customer's shopping cart	Shopify users
	Products viewed	Products that a customer has viewed in their browsing session [only logged-in users will be tracked]	Shopify users
Shopping Behavior	Total spent (in last 30d)	Total amount spent by a customer within the last 30 days	Shopify users
	Avg. order value	Average value of all orders placed by a customer	Shopify users
	Number of recent orders	Number of orders placed by a customer within a recent timeframe	Shopify users
	Total orders with coupon	Total number of orders made by a customer using a coupon	Shopify users
	Total orders without coupon	Total number of orders made by a customer without using a coupon	Shopify users
	First order date	Date when a customer placed their first order	Shopify users
	Last order date	Most recent date when a customer placed an order	Shopify users
	Purchased products	Specific products that a customer has purchased	Shopify users
Customer Attributes	Country/region	Customer's country/region	Shopify users
	Email address	Customer's email address	All users
	Shopify tag	Tags assigned to customers in the Shopify platform.	Shopify users
	Email marketing subscription	Identification of customers who have opted in or out of email marketing communications	Shopify users
	SMS marketing subscription	Identification of customers who have subscribed or unsubscribed from SMS marketing communications	Shopify users
	Customer created date	Date when a customer's account was created	Shopify users

Updated on: 08/05/2024