Machine Learning Meets Industry Expertise

Delivering prescriptive analytics for 24/7 revenue protection


Distinguishing Correlation From Causation

context-aware business anomaly detection
automated root cause investigation
context-aware business anomaly detection

oolo delivers smart, context-aware data insights

Helping publishers draw faster, more precise conclusions and act to maximum effect
  • Advanced machine learning algorithms refined by expert category insights map your business datascape and all its factor inter-relations.
    Monitor all relevant metrics & dimensions
  • Quickly assess the impact of changes on revenue and performance trends.
    Track variable chains across changes
  • Optimization enablement powered by superior insights.
    See how it comes together to impact revenue


Business Enablement

– powered by anomaly detection ― powered by deep context-awareness

A solution tailored to the needs of digital publishers, oolo combines machine learning with industry, data, and problem-solving expertise.

machine intelligence infused with business understanding

Data Connections

Pulling data from mediation, network, GAM, OMS, Google Analytics, and real-time HB sources oolo forms a holistic but granularly-informed understanding of your revenue ecosystem.

prescriptive analytics technology - publisher data connections
  • Setup
  • Tech
  • Ad Networks
  • User Behavior

Situational Intelligence

Ad and revenue data is categorized & contextualized to find the stories hidden in the stats. Here data is examined in view of historical behavior, seasonality, setup, metric inter-relations, channel mix, human interventions, and other factors.

modeling seasonality and intervention factors in prescriptive AI
  • Seasonality
  • Market Factors
  • Human Intervention
  • Real World Events
  • Deal Type Mix


Understanding the data implications of business activities and the business implications of data events, oolo models expected performance across hundreds of thousands of data permutations.

predictive modeling powered by machine learned pattern recognition and relational mapping
  • Dimensional Factoring
  • Relational Mapping
  • ML Pattern Recognition
  • Data Predictions


Comparing inbound data to modeled predictions, oolo documents and dissects significant deviations.

prescriptive analytics technology - automated deviation analysis
  • Live Data Monitoring
  • Relational Baselining
  • Deviation Analysis

Diagnostics & Business Insight

Anomalies are automatically investigated ― revealing their origins and business impact. Attention is called to qualifying anomalies via alerts that outline the issue, its root cause, financial significance, affected covariates, and suggested interventions.

prescriptive analytics technology for publisher monetization

oolo catches every issue — without creating any false alarms


Technology to Maximize Yield

oolo follows a 6-step process to deliver market-leading problem detection and opportunity enablement.

  • Data access
  • Forecasting
  • Anomaly detection
  • Business validator
  • Root cause analyzer
  • Alerting & optimization
Before processessing can begin, oolo must aggregate and normalize diverse data feeds into a central stream and organized schema. This is accomplished with GAM access, mediation and OMS integrations, use of APIs, and with detailed data mapping. No technical integration is required on the user side.



oolo requires no client-side technical integration. Simply provide ad server and/or mediation access.

oolo can also be integrated to your Prebid module by adding a small (oolo-provided) script to the page.

Considering data correlations, setup changes, seasonality, and market influences as well as natural fluctuations and growth trends, oolo extrapolates future value expectation for all monitored metrics.



Training on the publisher's data — both current and past — oolo maps metric relations and models "healthy" behavior patterns.

Machine learning is used to forecast performance and set precise expectations for all metrics — across all relevant dimensions.

oolo's anomaly detection covers the entire datascape with holistic context-awareness - translating mathematical anomalies into actionable business imperatives.



Comparing live data to predictions, oolo detects developing anomalies in real time.

Channeling data science insights through a business validation engine, oolo translates mathematical outputs into appreciable and measurable problems and opportunities to help publishres ensure that the issues of greatest consequence are given the highest priority.



Pairing oolo’s industry expertise with your business dependencies & operating logic, oolo calculates the revenue impact of each anomaly.

Detecting, inspecting, and explaining the issues that insidiously undermine monetization, oolo gives you the information you need to achieve the results you deserve.



Monitoring the issue from its earliest expression, oolo traces chain reactions to their cores and explains how the first dominos fell.

Delivering all the insights you need without any of the noise, oolo offers the market's most complete prescriptive analytics technology for ad revenue maximization



Role-based alerts are sent to the relevant person detailing the issue, its root cause, its cost, and the recommended action item

Optimization recommendations take into account:

  • Available controls
  • Anticipated impact/effectiveness
  • Time sensitivity
  • Stay on top of the latest news and analysis
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