Articles on: Analytics

Learn More About AfterShip Reviews Analytics

Overview



AfterShip Reviews analytics and reporting are found on your Home and Analytics page within the admin. AfterShip Reviews analytics helps you transform unstructured review data into structured and actionable insights that can be used to guide decision-making, product innovation and improvement, improved customer service, and wholesome brand experience.

What you’ll learn



In this article, you’ll learn about:

Reviews Analytics Overview dashboard
Reviews Analytics Email dashboard

Reviews analytics overview dashboard



With an intuitive and user-friendly interface, the Reviews Analytics Overview Dashboard enables businesses to access and assess review data in real-time. The dashboard aggregates customer reviews from various platforms and presents them in a visually engaging manner, making it easy for businesses to spot trends, identify strengths, and address areas for improvement.


The dashboard contains a few sections, which we’ll look at in detail here.

Reviews collected: This section includes the number of reviews collected from all the sources within the selected time frame.
NPS surveys collected: It shows the number of NPS scores collected from all the sources within the selected time frame.
Engagements: This section contains a total number of unique impressions or clicks generated by a review widget.
Sales: This section shows the total sales from visitors who made a purchase within 7 days of engaging with a review widget.

Understanding the charts



Overall star rating: This section includes the average rating for all the published and unpublished reviews collected within the time frame.
Overall NPS: It contains the NPS score for all the NPS collected within the time frame
Ratings distribution: This section breaks down the total number of reviews into 1 star, 2 star, 3 star, 4 star and 5 star respectively.
NPS distribution: This section shows the overall number and percentage of Promoters, Passives and Detractors within the selected time frame.


Reviews by source: In this section, you can find the total number of reviews fetched from different channels including Storefront, Email request, CSV upload and Ali Express.
Reviews over time: This section displays the analysis of the reviews over the time fetched from various channels.
Ratings and reviews by product: This section showcases products that customers have reviewed, regardless of the source. The displayed products will depend on the time range you've selected. With each product you can see the number of reviews left on the product and the average rating.

Set time range



The default range of data filtration is 30 days. However, it can be set as Custom, Today, Yesterday, Last 7 days, Last 30 days, and Last 90 days.
For Engagement and Sales, the data will be updated once per day and will only contain the data until yesterday. However, for Reviews collected and NPS surveys collected, the latest data which is fetched within 10 minutes will appear.


Reviews analytics email dashboard



The Reviews Analytics Email dashboard provides you with an overview of your customer review email campaigns over a period of time of your choice. Note that when filtering to a specific time, AfterShip Reviews pulls data tied back to order processed and emails sent in that particular time frame.

The email campaign performance data can be filtered by date
Available options are Custom, Today, Yesterday, Last 7 days, Last 30 days, and Last 90 days. By default, data for the last 30 days will be shown.
The email campaign performance data can be filtered by Automatic and Manual email type. The Automatic email type can be further filtered down to Initial and Reminder emails.
Click Apply once you have adjusted the filters at the top of the page to refresh and apply the new filter.



Each metric has a tooltip explaining more about the data point.
To view a specific metric in the charts, hover over the data point (see below).



The dashboard contains a few sections, which we'll look at in detail here.

Orders with email sent: The total number of customer orders you’ve processed. It shows the calculated figure of all the orders for which reviews and NPS request emails were sent, including the automatic emails and the manual emails
Review collected: The number of reviews collected through emails sent within the selected time frame

e.g. When the selected time frame is 2023/4/1 - 2023/4/15

a. If there is an email sent on 2023/4/10 and the customer submitted a review on 2023/4/20, then this review will be taken into account for the calculation.
b. If there is an email sent on 2023/3/28 and the customer submitted a review on 2023/4/5, then this review will NOT be calculated.

NPS (Net promoter score) score collected: The number of NPS scores collected through emails sent within the selected time frame

Understanding the graphs

Review request email funnel: It shows the overall activity in the review request emails within the selected time frame.
NPS email funnel: This section shows the overall activity in the NPS emails within the selected time frame.
Review request performance over time: It shows the overall performance of the review request emails within the selected time frame.
NPS email performance over time: This section shows the overall performance of the NPS emails within the selected time frame.



Understanding the data points on graphs

Sent: The total number of review emails sent within the selected time frame. This Includes automatic emails, reminder emails, and manual emails
Delivery rate: The percentage of review emails that were delivered successfully
Open rate: The number of review emails opened divided by the total number of emails sent
Conversion rate: The number of emails that led to reviews or NPS divided by the total number of emails sent.


All the data displayed on the dashboard is retrieved based on the date the email is sent.

In case of any further assistance, feel free to reach out to our support team.

Updated on: 14/04/2025

Was this article helpful?

Share your feedback

Cancel

Thank you!