Find out how much potential profit you lose by attracting users to pages of items that aren’t available. More importantly, find out why this is happening and how to fix it.
You spend money attracting an audience, but when a user gets to a product card, the item may not be available.
This dashboard shows you the proportion of visits from paid sources in which users land on out-of-stock goods. Continuous monitoring of this metric will help you respond faster to the causes and reduce losses.
Maybe website visitors who couldn’t get the item they wanted ended up buying other items? To verify this, compare the revenue per visit based on the availability of the item advertised on the landing page.
This will show you how much potential profit you didn’t receive because traffic from paid channels led to pages for out-of-stock items. To get more revenue, you can add recommendations for similar items to such pages.
If the share of transitions to missing goods is the same for all traffic sources, most likely the cause is that you rarely update availability in your advertising service. Or perhaps your status data hasn’t been processed by your ad service for a long time.
If the share of transitions is abnormally greater for a particular ad source, check to see how its data update process differs from that of other sources.
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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A leap forward to better analytics
Find out how users from various traffic sources behave, how much it costs to attract them, and what profit they bring in.
Learn how your online marketing affects sales in physical stores. See which campaigns and categories of goods bring more purchases offline and which work better online.
Evaluate the effectiveness of advertising channels for various categories and landing pages in order to plan your budget and increase sales.
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