E-commerce dashboard. Item position effectiveness report
Learn how to properly position items on the website to increase conversions and the average check size.
Allocate your time effectively
Increase conversions and average check size
Commodity blocks on the website contribute to increasing conversions and average check size. But in which blocks should you place certain goods for the maximum effect?
This dashboard will help you optimize the layout of goods on your website by compiling better-selling lists and filling related product blocks. It will also be useful for UI specialists to improve the interface.
Analyze the effectiveness of product blocks and lists
On this dashboard, you can see how much revenue a certain list of goods brings, in which blocks on the website users most often shop, and the average cost and CTR of a product depending on its location on the site. This will help you understand the profitability of product blocks in a product card or on the website as a whole.
Find out which listings are added to your cart most often
See the number of times goods are added to a basket from various blocks on the website. Knowing this, you’ll be able to determine optimal product placement.
For example, you can see whether it’s better to offer headphones on the mobile phone page in the “Kits” or “Related goods” block.
Unique advantages of OWOX BI
Get complete data in the right structure
Benefit from a dashboard built on complete data collected into Google BigQuery. OWOX BI merges your marketing data with your business data and avoids sampling and other Google Analytics limitations.
Ensure data quality
OWOX BI contractually guarantees not only data collection but data processing. It also automatically monitors data at each level of collection so you can confidently make data-driven decisions.
Don’t limit yourself to templates
Work with data in OWOX BI is based on your business model, not a set of tables you have to merge each time using SQL. You can create reports from understandable parameters and metrics in the OWOX BI interface as well as in Data Studio, Power BI, and Google Sheets.
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