List of Deep Log Analyzer Customers
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Since 2010, our global team of researchers has been studying Deep Log Analyzer customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Deep Log Analyzer for Marketing Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Deep Log Analyzer for Marketing Analytics include: U.S. Department of State, a United States based Government organisation with 75359 employees and revenues of $53.07 billion, Thales, a France based Aerospace and Defense organisation with 78189 employees and revenues of $22.64 billion, Statistics Canada, a Canada based Government organisation with 6910 employees and revenues of $533.0 million and many others.
Contact us if you need a completed and verified list of companies using Deep Log Analyzer, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Deep Log Analyzer customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Statistics Canada | Government | 6910 | $533M | Canada | Deep Software | Deep Log Analyzer | Marketing Analytics | 2014 | n/a |
In 2014, Statistics Canada implemented Deep Log Analyzer as a Marketing Analytics solution to process web server logs and generate analytics across Canadian government web properties. The deployment positioned Deep Log Analyzer to support marketing and public information delivery functions, centralizing log ingestion for a portfolio of government sites managed by Statistics Canada.
Deep Log Analyzer was configured for log collection and parsing, event aggregation, sessionization, and web analytics reporting. The implementation emphasized log-based traffic reporting and content-level analytics modules, with automated ingestion pipelines from web server log sources and configurable parsing rules to support varied server formats. Operational use was concentrated in content and communications teams, with dashboards and reporting workflows aligned to content optimization and public information delivery needs.
The implementation of Deep Log Analyzer delivered more accurate web traffic reporting and generated insights for content optimization across the covered government web properties. These outcomes supported ongoing analytics workflows for Statistics Canada without reference to other named platform replacements.
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Thales | Aerospace and Defense | 78189 | $22.6B | France | Deep Software | Deep Log Analyzer | Marketing Analytics | 2014 | n/a |
In 2014, Thales implemented Deep Log Analyzer to analyze website logs and derive web and marketing analytics for its digital presence in France. Deep Log Analyzer is used as a Marketing Analytics application and is listed by Deep Software as a client of the product.
The implementation emphasized web analytics and log analysis capabilities, with inferred functional components including log ingestion, parsing, sessionization, and automated identification of bot traffic and technical errors. These capabilities were configured to produce dashboards and alerting to support both marketing insight and operational troubleshooting.
Operational coverage targeted corporate marketing teams and site reliability functions supporting Thales digital properties in Europe, primarily France, with website log data serving as the primary data source for analytics and investigation workflows. The deployment connected log-derived analytics into marketing reporting and reliability triage processes to surface visitor behavior anomalies and infrastructure issues.
Governance and process adjustments established workflows to triage technical errors and anomalous bot activity, aligning marketing analytics outputs with site reliability incident handling. Reported outcomes included enhanced monitoring of site visitors, bots, and technical errors to support marketing and site reliability efforts.
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U.S. Department of State | Government | 75359 | $53.1B | United States | Deep Software | Deep Log Analyzer | Marketing Analytics | 2014 | n/a |
In 2014, the U.S. Department of State deployed Deep Log Analyzer as a Marketing Analytics solution to analyze web server logs and produce web and marketing analytics reports. The implementation supported public web properties and was oriented to strengthen web communications and site performance monitoring across the Department's United States web footprint.
Deep Log Analyzer was used for web analytics and log analysis, with vendor-listed capabilities focused on parsing web server logs and generating analytics reports that surface visitor behavior patterns and error conditions. Functional usage inferred from the client listing includes log ingestion and parsing, visitor behavior reporting, and automated report generation for web communications teams.
The implementation processed web server log sources to produce analytics outputs consumed by web communications and operations teams, supporting site troubleshooting and performance monitoring workflows. Operational coverage is centered on the Department's U.S. web channels and public site communications.
Vendor-reported outcomes include improved visitor behavior tracking and enhanced error reporting, outcomes that were applied to inform web communications workflows and site troubleshooting processes.
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