This OWOX BI dashboard will be useful for both marketers and development teams. It allows you to quickly detect and fix website conversion problems.
This dashboard is built on data from your Google BigQuery project. OWOX BI sends new user activity data to BigQuery within five minutes.
You can compare the dynamics of traffic, events, transactions, and the conversion rate hourly or over the last seven days compared to the previous seven days. You can also analyze these indicators in the context of groups of channels, landing pages, targets, countries, devices, and browsers.
If your conversion rate has slipped, you can use this dashboard to check whether the drop in conversions is related to your website as a whole or only to individual pages.
For example, you may notice that conversions have mostly decreased on product cards in a specific browser. This is a signal to check recent updates for an error. Thanks to this dashboard, you can quickly identify and eliminate these types of website issues.
To compare the effectiveness of advertising channels, marketers have to switch between reports or manually summarize data in Excel or Google Sheets. This takes a lot of time and harms the quality of data, and therefore decisions.
With OWOX BI, you don’t need to prepare data. You get a ready-to-update dashboard for all paid traffic 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.
Find out how users from various traffic sources behave, how much it costs to attract them, and what profit they bring in.
Evaluate the effectiveness of advertising channels for various categories and landing pages in order to plan your budget and increase sales.
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.
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