Machine Learning Meets Industry Expertise
Delivering round-the-clock prescriptive insights & revenue protection
SOLUTION VALUE
Examining Your Revenue and the Factors Behind It
oolo helps publisher ad and revenue teams more rapidly, more thoroughly, and more precisely make sense of their data.
Distinguishing correlation from causation
oolo delivers smart, context-aware data interpretations
- Monitor all relevant metrics & dimensions
- Track variable inter-relations through changes
- Understand & explain how it all comes together to impact revenue
HOLISTIC INTELLIGENCE
Business Enablement
– powered by anomaly detection ― powered by deep context-awareness
A solution tailored to the needs of digital publishers, oolo combines industry, data, and problem-solving expertise with machine learning.
Data Connections
oolo pulls data from ad mediation, network, GAM, OMS, Google Analytics, and real-time HB sources to form a simultaneously holistic and granularly-informed understanding of your revenue ecosystem.
- Setup
- Tech
- Ad Networks
- User Behavior
Situational Intelligence
In this first layer of processing, the story is extracted from the stats. oolo categorizes and contextualizes ad and revenue data in view of historical behavior, seasonality, setup, metric inter-relations, channel mix, human interventions, market factors, and much more.
- Seasonality
- Market Factors
- Human Intervention
- Real World Events
- Deal Type Mix
Modeling
Understanding the data implications of your business activities and the business implications of your data activities, oolo models your expected performance across hundreds of thousands of data permutations.
- Dimensional Factoring
- Relational Mapping
- ML Pattern Recognition
- Data Predictions
Monitoring
With a precise notion of what is expected — in terms of individual metrics and multi-variable ratios — oolo monitors your inbound data looking for significant deviations from the expected baseline.
- Live Data Monitoring
- Relational Baselining
- Deviation Analysis
Diagnostics and Business Insight
When an anomaly is detected, oolo calculates the bottom line impact and automatically investigates its origins — delivering actionable intelligence. Alerts include financial significance, root cause insights, a rundown of affected metrics, and suggested interventions.
Combining Human Expertise and AI
oolo catches every issue — without creating any false alarms
- Deep category insights
- Mapped metric relations
- Purpose-specific algorithmic tuning
PROCESS AND FLOW
Technology to Ensure Ad Inventory Is Optimally Utilized & Generating Maximum Yield
A turnkey solution, oolo follows a 6-step process to monitor your operational datascape and deliver actionable problem detection and opportunity enablement.
- Data access
- Forecasting
- Anomaly detection
- Business validator
- Root cause analyzer
- Alerting & optimization
01
DATA ACCESS
oolo requires no client-side technical integration. All that’s needed is ad server and/or mediation access. This can be achieved via shared credentials or read-only permissions.
If desired, oolo can also be integrated to your Prebid module by adding a small (oolo-provided) script to the page.
02
FORECASTING
Training on the publisher's data — both current and past — oolo maps metric relations and models "healthy" behavior patterns.
This allows oolo's machine learning to forecast performance — setting precise value expectations for all metrics, expressed across all relevant dimensions.
03
ANOMALY DETECTION
Comparing live data to predictions, oolo detects developing anomalies in real time.
04
BUSINESS VALIDATOR
Pairing oolo’s industry expertise with your business dependencies and operational logic, oolo automatically prices each anomaly to accurately reflect its revenue impact.
05
ROOT CAUSE ANALYZER
Monitoring the issue from its earliest expression and through every permutation, oolo automatically tracks and analyzes associated factors to untangle the knot of cause and effect — finding that first domino, detailing how it fell, and explaining the chain of events that followed.
06
ALERTING & OPTIMIZATION
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