Class TopicTrends

Topic trends fields requested by the merchant in the query. Field values are only set if the merchant queries TopicTrendsView. Forecast data can be queried up to 13 weeks by passing a future date in the date field. Historical data is measured daily, and forecasted data is projected weekly. All data points are normalized based on the highest data points returned in the response. If you make separate queries with different date ranges, you might see different values for the same date in each response. The recommended way to get a trend score of a topic is last7_days_search_interest / last{$day}_days_search_interest - 1. You can view trends for up to eight topics at a time.

Inheritance

object

TopicTrends

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.ShoppingContent.v2_1.Data

Assembly: Google.Apis.ShoppingContent.v2_1.dll

Syntax

public class TopicTrends : IDirectResponseSchema

Properties

CustomerCountryCode

Country trends are calculated for. Must be a two-letter country code (ISO 3166-1-alpha-2 code), for example, “US”.

Declaration

[JsonProperty("customerCountryCode")]
public virtual string CustomerCountryCode { get; set; }

Property Value

Type	Description
string

Date

Date the trend score was retrieved.

Declaration

[JsonProperty("date")]
public virtual Date Date { get; set; }

Property Value

Type	Description
Date

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

Last120DaysSearchInterest

Search interest in the last 120 days, with the same normalization as search_interest. This field is only present for a past date.

Declaration

[JsonProperty("last120DaysSearchInterest")]
public virtual double? Last120DaysSearchInterest { get; set; }

Property Value

Type	Description
double?

Last30DaysSearchInterest

Search interest in the last 30 days, with the same normalization as search_interest. This field is only present for a past date.

Declaration

[JsonProperty("last30DaysSearchInterest")]
public virtual double? Last30DaysSearchInterest { get; set; }

Property Value

Type	Description
double?

Last7DaysSearchInterest

Search interest in the last 7 days, with the same normalization as search_interest. This field is only present for a past date.

Declaration

[JsonProperty("last7DaysSearchInterest")]
public virtual double? Last7DaysSearchInterest { get; set; }

Property Value

Type	Description
double?

Last90DaysSearchInterest

Search interest in the last 90 days, with the same normalization as search_interest. This field is only present for a past date.

Declaration

[JsonProperty("last90DaysSearchInterest")]
public virtual double? Last90DaysSearchInterest { get; set; }

Property Value

Type	Description
double?

Next7DaysSearchInterest

Estimated search interest in the next 7 days, with the same normalization as search_interest. This field is only present for a future date.

Declaration

[JsonProperty("next7DaysSearchInterest")]
public virtual double? Next7DaysSearchInterest { get; set; }

Property Value

Type	Description
double?

SearchInterest

Daily search interest, normalized to the time and country to make comparisons easier, with 100 representing peak popularity (from 0 to 100) for the requested time period and location.

Declaration

[JsonProperty("searchInterest")]
public virtual double? SearchInterest { get; set; }

Property Value

Type	Description
double?

Topic

Google-provided topic trends are calculated for. Only top eight topics are returned. Topic is what shoppers are searching for on Google, grouped by the same concept.

Declaration

[JsonProperty("topic")]
public virtual string Topic { get; set; }

Property Value

Type	Description
string

Implements

IDirectResponseSchema