Triple Whale Bi API
The bi API from Triple Whale — 1 operation(s) for bi.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Bi API
version: 1.0.0
servers:
- url: https://api.triplewhale.com
tags:
- name: bi
paths:
/api/v2/bi/avg:
get:
operationId: bi-avg-get
responses:
'200':
description: Ecommerce Ad metrics for the requested period
content:
application/json:
schema:
type: object
properties:
aggregated:
$ref: '#/definitions/MetricExampleObj'
raw:
type: array
items:
type: object
properties:
date:
type: string
format: date
metrics:
$ref: '#/definitions/MetricExampleObj'
required:
- date
- metrics
definitions:
MetricExampleObj:
type: object
properties:
pinterest:
$ref: '#/definitions/PlatformMetrics'
google:
$ref: '#/definitions/PlatformMetrics'
snapchat:
$ref: '#/definitions/PlatformMetrics'
tiktok:
$ref: '#/definitions/PlatformMetrics'
facebook:
$ref: '#/definitions/PlatformMetrics'
additionalProperties: false
PlatformMetrics:
type: object
properties:
ctr:
type: number
minimum: 0
maximum: 100
description: CTR (Click-Through Rate) in percentage (0-100)
cpm:
type: number
description: CPM (Cost per Thousand Impressions) in USD
cpc:
type: number
description: CPC (Cost per Click) in USD
roas:
type: number
description: ROAS (Return on Ad Spend) calculated as Revenue / Ad Spend
mer:
type: number
description: MER (Marketing Efficiency Ratio) calculated as Ad Spend / Revenue
additionalProperties: false
parameters:
- in: query
name: dailyagg
schema:
type: boolean
description: Aggregate results by day
default: false
required: false
- in: query
name: platforms
schema:
type: string
description: Ad Platforms to include in data (Facebook, TikTok, Google, Pinterest, Snapchat). Omit if you need all platforms. Supports a pipe-separated list as a string.
required: false
- in: query
name: category
schema:
type: string
description: Shop Industry
enum:
- art
- baby
- books
- shoes
- crafts
- clothing
- computers
- electronics
- collectibles
- pet_supplies
- home_garden
- sporting_goods
- toys_hobbies
- health_beauty
- office_products
- digital_products
- food_beverages
- car_truck_parts
- jewelry_watches
- fashion_accessories
- cellphones_accessories
- hair_braids
required: false
default: all
- in: query
name: aov_segment
schema:
type: string
description: Filters the dataset to shops with a particular average order value in USD. By default all shops are included.
enum:
- <25
- 25-50
- 50-75
- 75-100
- 100-150
- '>150+'
required: false
- in: query
name: spend_segment
schema:
type: string
description: Filteres the dataset to shops with a particular spend amount per month in thousands of USD. By default all shops are included.
enum:
- <10K
- 10K-20K
- 20K-50K
- 50K-100K
- 100K-250K
- '>250K+'
required: false
- in: query
name: start
schema:
type: string
description: Start date
required: false
- in: query
name: end
schema:
type: string
description: End date
required: false
tags:
- bi
x-tw:
pathPrefix: bi
serviceId: bi
interfaces:
- client
x-google-backend:
address: https://bi-ipbu2ryima-uc.a.run.app
protocol: http/1.1
path_translation: APPEND_PATH_TO_ADDRESS