One Click Retail

One Click Retail

This document provides step-by-step instructions for importing data from One Click Retail. The following will be covered:

One Click Retail Data Integration

To integrate One Click Retail data into your Panoply warehouse using default settings, complete the following steps.

  1. Click Data Sources in the navigation menu.
  2. Click the Add Data Source button.
  3. In the Data Sources - Choose Source Type window, select One Click Retail. One Click Retail is listed under APIs.
  4. In the Data Sources – One Click Retail screen, enter your login credentials and click Login.
  5. In the Data Sources – One Click Retail, screen, select which data to import.
  6. (Optional) To Customize the ingestion from your data source, review the advanced options.
  7. Click Collect.

The Data Sources – One Click Retail window will go gray while the data integration is pending. A small green progress bar will appear below One Click Retail once the integration has begun. A prompt will appear asking if you would like to set up the integration of another data source. Multiple data integrations can be set up without impacting the ingestion of the already scheduled or pending data integrations.

From the Data Sources main menu you can monitor the data ingestion status of the scheduled and pending data integrations. After the data ingestion is complete, you can clean or transform your data in the tables menu.

Advanced Options

Clicking Show next to Advanced will expand the Data Sources - One Click Retail window to include Destination, Primary Key, Exclude, Parse String and Truncate table.

Destination - Default is ocr_{__tablename}, where __tablename is the table name from the schema for this data source. See Data Schema for more detail about each table. Primary Key - Default is id. The primary key here determines which field(s) to use as the deduplication key when ingesting data.

Data schema

The One Click Retail data elements ingested by Panoply are listed below. One Click Retail data is collected from the `` API endpoint.

OCR_reports - A collection of data describing products bought/sold, the type of basket they appeared in, and the geographical locations of shoppers.

Internal fields - In addition to the data schema details noted below, Panoply creates __updatetime and __senttime internal fields on all tables.


As noted above, this data is collected from the API endpoint. In Panoply, the default One Click Retail data table is ocr_reports_csv and includes the following fields:

Column Name Data Type Description
id Text Unique ID
asin Text Amazon Standard Identification Number (ASIN)
week_asin Text Week combined with ASIN for identification
title Text Title of product page
platform Text Platform for product
type Text Type of product
brand Text Brand of product
sub brand Text Subcategory if exists within brand
category Text Category of product
client product group Text Targeted client group (i.e. Consumer / Professional)
manufacturer Text Manufacturer of product
subcategory Text Subcategory of product if multiple options exist within “category”
upc Text Universal Product Code (UPC)
amazon sub category Text Sub category according to Amazon classification
similar asin grouping Text Product grouping
vat Number VAT amount
raw_mtd_replenishment_code_item_availability Text Item availability code. Potential values: ‘obsolete’, ‘new product’, ‘off season’
exclusively_for_prime Text Boolean indicating whether product is sold exclusively through Amazon Prime
units Text Number of units
units per pack Text Number of units per pack
packs Text Number of packs
sales_wow_change Text Week-on-week change in sales for product
cal_year Text Calendar year
inventory_unit_forecast_6_week_average Text Unit inventory forecast
pure_profit_per_unit Text Pure profit per unit
inventory_weeks_on_hand Text Number of weeks’ worth of inventory on hand
inventory_weeks_on_hand_6_week_average Text 6-week average value of weeks’ worth of inventory on hand
cal_week Text Calendar week
cal_month Text Calendar year
average_sales_price Text Average sales price of product
inventory_weeks_on_hand_6_week_max Text Max value of weeks’ worth of inventory from past six months
sales_4_week_sum Text Total sales for past 4 weeks
sales Text Sales
conversion_rate Text Conversion rate of customers
raw_average_ordered_price Text Average price of product across orders
unique_visitors Text Unique visitors to product page
raw_sellable_on_hand_units Text Number of units on hand
raw_orders Text Number of orders
raw_ordered_units Text Number of ordered units
page_views Text Number of views on product page
raw_list_price Text List price of product
raw_ordered_amount Text Amount of product ordered
raw_shipped_amount Text Amount of product shipped
raw_shipped_cost_of_goods_sold Text Cost of goods sold for shipped units
raw_conversion_percentile Text Percentile in which conversion rate falls
raw_shipped_units Text Number of units shipped
raw_open_purchase_order_quantity Text Quantity of open purchase orders
raw_customer_reviews Text Number of customer reviews
raw_average_customer_review Text Average score of customer review
raw_page_views_trend Text Trend of product page views
sales_prior_4_week_sum Text Sum of sales for prior 4 weeks
third_party_ordered_sales Text Sales from 3rd party orders
second_party_ordered_sales Text Sales from 2nd party orders
sales_4_week_average Text 4-week sales average
sales_last_week Text Total sales from the past week
raw_mtd_percent_lost_buy_box_lbb Text Percentage of buy boxes lost
raw_mtd_page_view_rank Text Page number displayed on
raw_mtd_percent_vendor_buy_box_fast_track Text Percentage of vendor’s items eligible for buy box and/or prime
raw_mtd_percent_replenishable_out_of_stock Text Percentage of replenishable out of stock inventory
traffic_glance_views Text Number of glance views
week_beginning Text Start date of week under consideration
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