Reviews Table

The Reviews table provides detailed data on customer reviews, including the content, sentiment, and associated metadata such as reviewer attributes and product details. By querying this table, you can analyze review trends, assess customer sentiment, and identify areas for improvement in your products or services.

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Note

event_date is a required field for queries on this table.

Dimensions

Dimensions are immutable properties that can be used for grouping data.

Title

ID

Type

Description

Event Date

event_date

date

The date the review was submitted. Based on the time zone of the shop at the moment of the review submission.

Event Day

event_date.day

date

The day on which the event occurred. Derived from event_date.

Event Week

event_date.week

date

The Sunday of the week during which the event occurred. Derived from event_date.

Event Month

event_date.month

date

The month during which the event occurred. Derived from event_date.

Event Quarter

event_date.quarter

date

The first month of the quarter during which the event occurred. Derived from event_date.

Event Year

event_date.year

date

The year during which the event occurred. Derived from event_date.

Attributes with Rating

attributes_with_rating

record repeated

A list of rating attributes within the review. Set in the reviews platform.

Minimum Rating Label

attributes_with_rating.min_label

string

The label for the minimum rating value.

Example values: Runs small, Disappointing

Mid Label Rating

attributes_with_rating.mid_label

string

The label for the midpoint rating value.

Example values: True to size, As expected

Title

attributes_with_rating.title

string

The title of the rating attribute.

Example values: Size Range, Quality

Type

attributes_with_rating.type

string

The type of the rating attribute.

Example values: range, multi-select, single-select

Value

attributes_with_rating.value

string

The rating value for the attribute.

Example values: -1, 0, 0.5, 2

Maximum Rating Label

attributes_with_rating.max_label

string

The label for the maximum rating value.

Example values: Runs large, Exceeds expectations

Contains Profanity

contains_profanity

boolean

True if the review contains profanity.

Possible values: true, false

Content

content

string

The text content of the review.

Example values: Fits nicely, Better quality than it looked in the pictures

Review ID

id

string

The unique identifier for the review.

Example value: 948f450e-5b38-4a2e-ace6-470b7b5535cf

Is Recommended

is_recommended

boolean

True if the product is recommended by the reviewer.

Possible values: true, false

Marketplace

marketplace

string

The marketplace where the review was submitted.

Example value: shopify

Order ID

order_id

string

The unique identifier for the order associated with the review.

Example value: 4930225799243

Platform

platform

string

The platform through which the review was submitted.

Example values: okendo, yotpo

Product ID

product_id

string

The unique identifier of the reviewed product.

Example value: 3891505496131

Product Name

product_name

string

The name of the reviewed product.

Example values: Green Soft Socks 3-Pack, Paring Knife Travel Case, Gift Subscription

Review Type

review_type

string

The type of review submitted.

Example value: product

Reviewer Attributes

reviewer_attributes

record repeated

Attributes associated with the reviewer.

Reviewer Title

reviewer_attributes.title

string

The title of the reviewer.

Reviewer Type

reviewer_attributes.type

string

The type of the reviewer.

Reviewer Value

reviewer_attributes.value

string

The value of the reviewer.

Reviewer Country Code

reviewer_country_code

string

The country code of the reviewer, according to ISO 3166-1 alpha-2. See list of country codes.

Example value: US

Reviewer Display Name

reviewer_display_name

string

The display name of the reviewer.

Reviewer Email

reviewer_email

string

The email address of the reviewer.

Reviewer Is Verified

reviewer_is_verified

boolean

True if the reviewer is a verified customer.

Possible values: true, false

Reviewer Name

reviewer_name

string

The name of the reviewer.

Reviewer Verified Status

reviewer_verified_status

string

The verification status of the reviewer.

Sentiment

sentiment

string

The sentiment analysis result for the review content.

Example values: positive, mixed, negative

Status

status

string

The status of the review.

Example values: approved, published, unpublished

Title

title

string

The title of the review.

Example values: Almost perfect, Would not recommend, Absolutely beautiful!

Variant ID

variant_id

string

The unique identifier of the reviewed product variant.

Example value: 29275946877001

Measures

Measures are numeric fields that can be aggregated and/or combined to calculate new metrics.

TitleIDTypeDescription
Helpful Counthelpful_countnumericThe number of helpful votes the review has received.
RatingratingnumericThe rating score assigned by the reviewer.
Unhelpful Countunhelpful_countnumericThe number of unhelpful votes the review has received.