Reports offer valuable insights into your product reviews, helping you enhance your future performance.
Within the dedicated Reports tab, you'll discover critical statistics such as review counts, email distribution, revenue generated via Judge.me, order numbers, and more.
This article will guide you on how to access and maximize the potential of your Reports.
1. Accessing reports
You can access Reports through a dedicated tab in your admin dashboard.
If you're using the Judge.me app within the Shopify dashboard, Reports can also be accessed via the Requests button > Reports or the More button > Reports.
2. Understanding the content of reports
Statistics
Within Reports, you'll find four key statistics that provide an overview of your review collection process. You can adjust the timeframe to view data from the last 30 days, 7 days, or 24 hours:
Reviews Received: The total number of reviews your store has received.
Emails Sent: The total number of review request emails dispatched.
Revenue Generated by Judge.me: The cumulative monetary value (in USD) generated by Judge.me as a referrer.
Number of Orders: The total number of orders generated via Judge.me as a referrer.
Note: Understanding Revenue and Orders Generated by Judge.me
When a review request email is sent, a tracking module (UTM) is added to each link. If a user clicks on this tracked link to leave a review, Shopify associates them with the parameter "utm_source=judgeme." Subsequently, when the same user makes a purchase, Shopify attributes "utm_source=judgeme" to the corresponding order.
The USD value of the order with "utm_source=judgeme" is added to the "Revenue generated by Judge.me." The same principle applies to the number of orders.
Occasionally, the ratio between Emails Sent and Revenue Generated by Judge.me may appear small. This isn't necessarily due to poorly performing emails but because Shopify only counts the original referrer (Judge.me), and some repeat buyers with the original referrer determined earlier may not be counted.
Store score
The Transparency Score represents the percentage of published verified reviews among the total verified reviews you've received. Verified reviews include those submitted by customers with fulfilled orders or imported reviews with proof of authenticity. The total verified reviews encompass published, hidden, and archived reviews that have been verified.
Transparency score = (total published verified reviews / total verified reviews) x 100
For instance, if you have received 120 verified reviews and published 75 of them, your transparency score will be:
(75 / 120) x 100 = 62.5%
The Authenticity Score represents the percentage of verified reviews among the total reviews you publish. Verified reviews include those submitted by customers with fulfilled orders or imported reviews with proof of authenticity. The total number of reviews a store can publish may include unverified reviews collected directly on their e-commerce store or imported from other sources.
Authenticity score = (total published verified reviews / total published reviews) x 100
For example, if you publish 130 reviews in total, and 75 of them are verified reviews, your authenticity score will be:
(75 / 130) x 100 = 57.7%
Overview
In the Overview dashboard, you'll find three important metrics:
Number of reviews by rating
Choose to view all-star reviews or those with specific ratings from 1 to 5.
The default display is for all-time data, but you can adjust the timeframe to view data from a specific period.
Number of review sources
Identify and compare various sources from which your reviews originate, including Email Templates, Web, or Imports.
The default display shows all-time data, but you can also narrow it down to a specific timeframe.
Total reviews and aggregate rating by product
View total reviews and the aggregate rating for each product.
You can sort these dimensions (rating or total reviews) from highest to lowest or vice versa by clicking on them.
Email insights
In the Email Insights dashboard, you'll find detailed metrics regarding the performance of your review request emails.
Conversion rate: all emails, email template, request source, link clicked
In the line graph, track the conversion rates of your review request emails, including Emails Sent, Emails Opened, Emails Clicked, Reviews Written, and Reviews Published. You can categorize the data into four groups: All Emails, Email Templates, Request Source, and Link Clicked.
All Emails: Conversion rate for all emails.
Email Template: Compare conversion rates among different email templates, including Single-Request Email Template, Multiple-Requests Email Template, Picture-first, HTML, and custom templates.
Request Source: Compare conversion rates among different types of requests, such as Automatic requests from Judge.me or manual requests imported from CSV and previous orders.
Link Clicked: Compare conversion rates among the first link that a potential reviewer clicks in a specific review request email.
Note: If there are multiple lines in the graph, the data will be stacked for easy comparison.
Conversion rate: reminder, email read time, line item sequence
In the column graph, examine conversion rates grouped by three dimensions: Reminders, Email Read Time, and Line Item Sequence.
Reminder: Compare conversion rates among initial reminders, 1st, 2nd, and 3rd reminders.
Email Read Time: Compare conversion rates among emails with different durations of read time (0-5s, 5-10s, 10-20s, etc.).
Line Item Sequence: Compare conversion rates among all review request emails in the sequence you specify when an order consists of multiple products.
For examples:
Interpretation: Among all the emails that were opened, 83,389 readers read the review request emails within 0-5 seconds before either closing the email, navigating away via a link, or proceeding to write a review.
Interpretation: Out of all the reviews that were written, 4,616 readers had previously read the review request emails within 0-5 seconds before composing their reviews.
Analyzing Conversion Rates Across Various Reviewer Countries and Cities
Evaluating Conversion Rates Across Different Reviewer Platforms, Operating Systems, and Web Browsers
3. Special notes
In your reports, you may encounter "N/A" and "Others." Here's what they mean:
N/A: Indicates no available data.
Others: Encompasses all data not explicitly listed.
For example, when displaying the first 10 countries in your reports, "Others" refers to data for all other countries, while "N/A" signifies that the records of the emails you sent aren't associated with any specific country.
If you need help understanding reports for product insights, contact our team at [email protected]. We're available to help 24/7!