Anodot > Case Studies > Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC

Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC

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Customer Company Size
Large Corporate
Region
  • America
Country
  • United States
Product
  • Anodot
Tech Stack
  • Google Analytics
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Functions
  • Business Operation
Use Cases
  • Real-Time Location System (RTLS)
Services
  • Data Science Services
About The Customer
Penske Media Corporation (PMC) is a leading digital media and information services company whose award-winning content attracts a monthly audience of more than 180 million and empowers more than 1 million global CEOs and business thought-leaders in markets that impact the world. The company is headquartered in New York and Los Angeles with additional offices in 11 countries worldwide. PMC’s portfolio of brands includes Variety, WWD, Deadline, Robb Report, and many more. PMC’s journalists and content creators deliver daily the most comprehensive news and information in their industries and areas of coverage, unequaled in ambition, depth and courage.
The Challenge
Penske Media Corporation (PMC) was facing significant delays in discovering important incidents in their active, online business. The company was using Google Analytics’ alerting function to track business incidents but found it inadequate due to the millions of users across dozens of household-name and professional publications. The initial use case for PMC was to start using Anodot to track its Google Analytics activity, for example, to identify anomalous behavior in impressions or click-through rates for advertising units.
The Solution
PMC brought in Anodot to track its Google Analytics activity. Anodot learns the normal behavior of each metric, with its seasonality or other patterns, and alerts automatically when a metric behaves differently than expected. This helped PMC to identify software bugs early, before small issues turned into major crises. For example, in one case, Anodot flagged higher than expected bounce rate in a publication’s gallery pages, and correlated this alert with an increase in the corresponding image sizes after a back end code push. PMC was also able to use Anodot to analyze its Google search console and Google webmaster data. As a result, sudden changes in search engine ranking for the company’s relevant keywords will automatically trigger an alert on Anodot.
Operational Impact
  • Identified product bugs, referral spam, SEO changes and more without any preconfiguration.
  • By discovering referral spam through Anodot, and then blocking the spam traffic, PMC was able to free up resources for legitimate visitors.
  • PMC was able to identify software bugs early, before small issues turned into major crises.
  • PMC was able to use Anodot to analyze its Google search console and Google webmaster data.

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