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Shopify Taxes (POS)

Number of taxes associated with a sale or return during specified date range.

With Databox you can track all your metrics from various data sources in one place.

Taxes (POS) 2.190,879 Start tracking this metric
  • About
  • Tech details
  • Notes

How to track Taxes (POS) in Databox?

Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.

To track Taxes (POS) using Databox, follow these steps:

  1. 1
    Connect Shopify that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Taxes (POS) on the Performance screen
  6. 6
    Get Taxes (POS) performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Taxes (POS)
Goals

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Metric Digest

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Data Calculations

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Performance Screen

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Shopify integration with Databox Track Taxes (POS) from Shopify in Databox GET STARTED

Basics

  • Description
    Number of taxes associated with a sale or return during specified date range.
  • Category
    Ecommerce
  • Subcategory
    Tax
  • Date Added
    2015-04-28
  • Default Format
    PrefixCurrency
  • Cumulative Support
    Yes
  • Units
    Yes
  • Granularities
    hourly, daily, weekly, monthly, yearly, quarterly, allTime
  • Favorable Trend
    increasing
  • Historical Data
    Yes
  • Changing historical data
    Yes
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
    event Learn more
  • API Endpoint
    https://{shopname}.myshopify.com/admin/api/{api_version}/orders.json

  • Is the value from a (POS) metric included in the equivalent non-(POS) metric?

    The (POS) metric will include data from the retail stores only. The non-(POS) Basic metric can include both online and POS values.

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