Reputation: Most-used fields

Reputation: Most-used fields#

The table below gives information about most-used fields that you can import from Reputation. Other fields might also be available in Adverity.

The fields that you can fetch in Adverity are updated regularly to reflect updates to data source APIs.

API name

Adverity UI name

Description

Use in Adverity

count

count

The total number of items or occurrences of a specific value within a group or a dataset.

dimension

created_at

created_at

The timestamp indicating when an entity was initially created.

dimension

dateRange.from

dateRange.from

The start date of a specified date range for data retrieval or filtering.

dimension

dateRange.to

dateRange.to

The end date of a specified date range for data retrieval or filtering.

dimension

rating

rating

The star rating or score given in a customer review or survey.

dimension

responseCount

responseCount

The total number of replies or responses received for a given review or piece of content.

dimension

score

score

A numerical value representing an overall reputation score.

metric

scoreSignals.listingAccuracy

scoreSignals.listingAccuracy

A metric indicating the accuracy and consistency of a business’s online listings across various platforms, contributing to its overall score.

metric

scoreSignals.reviewLength

scoreSignals.reviewLength

A metric that reflects the average or typical length of customer reviews, providing insight into the detail level of feedback received.

metric

scoreSignals.reviewRecency

scoreSignals.reviewRecency

A metric indicating how recently a review was posted, often influencing its relevance and impact on reputation.

metric

scoreSignals.reviewResponse

scoreSignals.reviewResponse

A signal indicating the presence or status of responses to customer reviews, reflecting engagement with customer feedback.

metric

scoreSignals.reviewSpread

scoreSignals.reviewSpread

A metric indicating the distribution or variability of review scores or ratings. This signal helps to understand the consistency of customer feedback, showing how widely the individual scores vary around an average.

metric

scoreSignals.reviewVolume

scoreSignals.reviewVolume

A metric representing the total number of reviews received over a specific period, indicating the quantity of customer feedback.

metric

scoreSignals.searchImpression

scoreSignals.searchImpression

A metric indicating the number of times a business’s online presence, such as its listings or profiles, appeared in search engine results.

metric

scoreSignals.socialEngagement

scoreSignals.socialEngagement

A signal reflecting the level of interaction and activity a business has on various social media platforms.

metric

scoreSignals.starAverage

scoreSignals.starAverage

A metric or signal representing the average star rating given by customers in their reviews.

metric

sentimentCount.negative

sentimentCount.negative

The count of customer feedback or opinions classified as having a negative sentiment.

dimension

sentimentCount.neutral

sentimentCount.neutral

The count of customer feedback or opinions classified as having a neutral sentiment.

dimension

sentimentCount.positive

sentimentCount.positive

The count of customer feedback or opinions classified as having a positive sentiment.

dimension