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DataTrue ensures your web analytics tags deliver the accurate insights you need to boost your digital performance, while protecting your customers’ information. It automates tag testing and monitoring for websites, mobile apps, and email campaigns, ensuring compliance with GDPR, CCPA, and other privacy standards. DataTrue helps businesses maintain data quality and trust in their analytics, ultimately enhancing marketing results and protecting customer data.
17
companies
DataTrue is used in 4 countries
Technology Usage Statistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
There are 17 alternatives to DataTrue
Technology
is any of
DataTrue
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
United States | Broadcast Media Production and Distribution | 58 | $19M |
We have data on 17 companies that use DataTrue. Our DataTrue customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
United States | Marketing Services | 150 | $70M | ![]() DataTrue |
India | IT Services and IT Consulting | 681K | $27B | ![]() DataTrue |
United Kingdom | Broadcast Media Production and Distribution | 8.7K | $1.3B | ![]() DataTrue |
United Kingdom | Advertising Services | 7.5K |
| ![]() DataTrue |
Canada | Retail | 29K | $16B | ![]() DataTrue |
Canada | Retail | 25K | $19M | ![]() DataTrue |
United States | Technology, Information and Internet | 49 | $26M | ![]() DataTrue |
Frequently asked questions