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Reports provide you with better insights on your product reviews to improve future performance. In the dedicated Reports tab, you can find important statistics such as the number of reviews received, email sent, revenue generated from Judge.me, number of orders, and so on. This article shows you how to get started and make the most of your Reports.

TABLE OF CONTENTS

  1. How to access the Reports
  2. What’s inside the Reports?
    1. Statistics
    2. Store score
    3. Overview
    4. Email insights
  3. Special notes

1. How to access the Reports

  • The Reports is available as a separate tab in your admin dashboard

  • If you are viewing Judge.me app in Shopify dashboard, you can also access the Reports from Requests button > Reports or More button > Reports

2. What’s inside the Reports?

Statistics

On top of your Reports, you can find 4 most important statistics to get a glimpse of the performance of your reviews collecting process. You can change the time frame to see statistics from the last 30 days, 7 days, or 24 hours.

1. Reviews received: total number of reviews your shop received

2. Emails sent: total number of review request emails sent out 

3. Revenue generated by Judge.me: total monetary values (in USD) generated by Judge.me as a referrer

4. Number of orders: total number of orders generated by Judge.me as a referrer

*Note: 

Revenue and orders generated by Judge.me - how do they work exactly?

  • The monetary value (in USD) of the order with utm_source=judgeme will be added to the Revenue generated by Judge.me. The same principle applies to the number of orders.

  • Sometimes, the ratio between Emails sent and Revenue generated by Judge.me is quite small. It isn’t necessarily because your emails aren’t performing well, but because Shopify only counts original referrer (Judge.me), and some repeat buyers with original referrer determined before are not counted.

Store Score

  • Transparency score is the percentage of published verified reviews in the total verified reviews you receive. Verified reviews include reviews submitted by customers with fulfilled orders or imported reviews with proof of authenticity. Total verified reviews include published, hidden, and archived reviews that have been verified.

Transparency score = (total published verified reviews / total verified reviews) x 100

For example, if you receive 120 verified reviews, and published 75 of them, your transparency score will be:

(75 / 120) x 100 = 62.5%

  • Authenticity score is the percentage of verified reviews in the total reviews that you publish. Verified reviews include reviews 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 that are 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, 75 of them are verified reviews, your authenticity score will be:

(75 / 130) x 100 = 57.7%

Overview

In the Overview dashboard, you can see three important metrics:

1. Number of reviews by rating: 

  • You can choose to see all-star reviews or reviews with specific stars from 1 to 5. 

  • The all-time data are displayed by default, but you can also adjust the timeframe to see data from a specific period.

2. Number of review sources:

  • You can see and compare the various sources that your reviews came from, such as Email Templates, Web, or Import.

  • The all-time data are displayed by default, but you can also adjust the timeframe to see data from a specific period.

3. Total reviews and aggregate rating by Product

  • You can see total reviews and the aggregate rating of each product.

  • You can click on each dimension (rating or total reviews) to sort them from highest to lowest or vice versa.

Email insights

In the Email insights dashboard, you can find more detailed metrics on how your review request emails are performing.

1. Conversion rate: All emails, Email template, Request source, Link clicked

In this line graph, you can see how your review request emails convert, including Emails sent, Emails opened, Emails clicked, Review written and Review published. You can sort the data in four groups: All emails, Email template, Request Source, Link clicked.

  • All emails: conversion rate of all emails
  • Email template: conversion rate comparison among different email templates, ranging from Single-Request Email Template, Multiple-Requests Email Template, Picture-first, HTML, and your own custom templates.
  • Request Source: conversion rate comparison among the type of requests available (Automatic requests from Judge.me manual requests imported from CSV, previous orders)
  • Link clicked: conversion rate comparison among the first link that a potential reviewer clicked in a particular review request email

*Note:

If there are two or more lines in the graph, the data will be stacked. As in the example below, if the value of "Multi Review Email Template" is 88,556 and the value of "Single Review Email Template" is 917, the line "Single Review Email Template" will be drawn at the value 89,473 (= 88,556 + 917). The stacked line chart helps you easily identify the occupation of each template during different stages of the conversion funnel.

2. Conversion rate: Reminder, Email read time, Line item sequence

In this column graph, you can see the conversion rate of your emails grouped by three dimensions: Reminders, Email read time and Line item sequence

  • Reminder: conversion rate comparison among initial reminder, 1st, 2nd, and 3rd reminders.
  • Email read time: conversion rate comparison among emails with different duration of read time (0-5s, 5-10s, 10-20s, etc.). Email read time (in seconds) is the duration of time a reader reads an email before closing it, leaving via a link, or eventually writing a review.

For examples:

Interpretation: "Out of all emails opened, there are 83,389 readers have read the review request emails 0-5s before closing it, leaving via a link, or eventually writing a review”.

Interpretation: "Out of all reviews written, there are 4,616 readers who have read the review request emails 0-5s before writing a review”.

  • Line item sequence: conversion rate comparison among all review request emails in the sequence you specify. When an order consists of multiple products, Judge.me may send multiple emails, each of which includes a single product, based on the sequence you specify in the settings (most expensive, least expensive, random, least reviews)

3. Conversion rate among different reviewer countries and cities

4. Conversion rate among different reviewer platforms, reviewer OS and reviewer browsers.

3. Special notes

You may see "N/A" and "Others" in your reports. Here is what they mean:

  • N/A: there is no data.
  • Others: all other data apart from what is listed specifically.

For example, when we are showing the first 10 countries in your reports, "Others" means data for the rest of the countries, while "N/A" means the records of the emails you sent don't associate with any country.