Anodot AI-powered Analytics for
for Ad Tech
Boost revenue, while instilling trust and confidence in your customers
Operationally, Ad Tech tools must work at lightning speeds to offer and complete bids for ad inventory. Meanwhile both historical and real-time data must be analyzed to inform and optimize those operational actions.
With so many components to keep track of, real-time bidding presents many challenges. Every minute of downtime or error in programmatic ads translates into major losses.
Ad Tech providers need to instill trust and confidence in customers by detecting and diagnosing issues early to take preemptive actions before they turn into crises.
Anticipate any business issues before they impact customer campaigns
Detect and diagnose issues early, resolve them quickly, and take preemptive actions, before they turn into crises.
Capture Seasonal Patterns
Stay aware of seasonal peaks and dips for key indicators, like impressions or click-through rates, and get automatic alerts for when a metric behaves differently than expected.
Identify Software Bugs
Capture and analyze data related to software releases and advertising performance and flag the anomalies that occur outside of a ‘normal’ range.
Detect Network Latency
Detect network latency before computation time slows and harms bid pricing, targeting for a less engaged audience.
Prevent Missed Impressions
Spot delays in the ad loading process and prevent missed impressions, where the advertiser is charged for the impression without actually showing the user an ad.
Real-time Data Insights
Anodot Quickly Gets to the Root of the Issue
Throughout the bid stream, there are many potential areas for communication or technical breakdown that could prevent a bid from going into the auction and impact the overall health of the business. Anodot’s advanced machine-learning BI and analytics solution, helps companies identify trends and correlations in real time.
Anodot provides companies with a centralized, AI-based platform that detects, correlates, and alerts on relevant and important trends that could positively or negatively affect adtech service business. Anodot automatically identifies and groups related metrics, even before an anomaly occurs. This way, the most important anomalies are quickly identified and ranked, providing crucial information to allow companies to quickly get to the root of the issue.
Complete Business Incident Detection and Notification
Anodot’s AI Analytics tracks all the ad tech-related KPIs you need to know, like:
- Click-Through Rate
- Completion Rates
- Percentage Complete
- Time Spent Viewing
- Interactive Ad Formats
- Cost Per Mille
- Engagement Rate
Find out how Rubicon Project can quickly pinpoint where to investigate with Anodot’s AI-powered analytics.
“Our clients are also very happy with us giving more detailed service and really being able to solve problems that used to either go undetected or take days to solve. We solve them in a matter of hours.”
Take a closer look at how AI analytics delivers insights for ad tech companies.
How Five Leading Adtech Companies Used AI To Save Millions
Learn how leading ad techs are leveraging the power of machine learning and getting valuable business insights.
How AppNexus Leverages AI Analytics to Detect Business Incidents
How AppNexus is using Anodot’s AI Analytics to confidently and proactively address incidents quickly.
Uprise uses Anodot to Cut Through the Noise
With Anodot, Uprise can simply monitor everything, letting Anodot do the work of identifying anomalies.
You’re in Great Company
Hundreds of data-driven companies use Anodot, including:
Discover Business Incidents in Real Time
“Anodot…allowing more businesses to identify issues and opportunities in real time that otherwise could have taken weeks to discover.”