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BigCommerce Product Views

Product Views is a measure of how many times a specific product has been viewed by customers on a website or online store. It indicates the level of interest and popularity of a product among potential buyers.

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

Product Views 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Product Views"?
Product Views is a metric that measures the number of times a specific product has been viewed by visitors on an online store. It helps gauge the popularity and interest in a particular product, which can influence marketing and merchandising strategies.
Example: Product Views metric is used to track the number of times a specific product page has been viewed by customers on an e-commerce website.

Visualizations

  • Databox visualization

    Number

    Used to show a simple Metric or to draw attention to one key number.

How to track Product Views 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 Product Views using Databox, follow these steps:

  1. 1
    Connect BigCommerce 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 Product Views on the Performance screen
  6. 6
    Get Product Views performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Product Views
BigCommerce integration with Databox Track Product Views from BigCommerce in Databox GET STARTED

Basics

  • Description
    Product Views is a measure of how many times a specific product has been viewed by customers on a website or online store. It indicates the level of interest and popularity of a product among potential buyers.
  • Date Added
    2023-07-01
  • Cumulative Support
    Yes
  • Units
    No
  • Granularities
    hourly, daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    increasing
  • Historical Data
    No
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
    current Learn more
  • API Endpoint
    https://api.bigcommerce.com/stores/{siteHash}/v3/catalog/products

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