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1. Connect
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2. Expect
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3. Detect
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4. Direct
Connect
Integrating via MMP/mediation API or S3/GCP bucket, oolo automatically reviews your data — analyzing UA performance across all apps, channels, and campaigns.
- No SDK integration — simply connect your data sources/platforms and oolo does all the heavy lifting
- Scalable infrastructure keeps costs low, regardless of your size
Expect
oolo examines new and historical data in view of cross-correlations, seasonality, market trends, and channel changes — simultaneously auditing the data trail at the most grand and granular levels.
This allows oolo to understand normal behavior and accordingly set precise expectations for each and every data permutation.
Detect
Scanning your data 24/7, oolo compares real numbers to predicted values, automatically surfacing addressable problems and opportunities.
Leveraging deep data understanding and context-awareness, oolo automatically separates real issues from natural noise and traces each incident to its data point of origin.
Direct
Get real-time business insights in relatable & measurable terms to help optimize setups and maximize ARPDAU at scale.
Alerts are based on a thorough understanding of data relationships and their implications. As such, oolo’s monitoring:
- Is never tripped-up by partial data issues
- Includes quantifiable impact estimates
- Highlights the root data hierarchy and conditions behind the issue
Centrally track growth across all networks, titles, and campaigns
oolo makes fast sense of emerging UA trends — cross-correlating metrics to explain data relationships and consequences.
Stay ahead of performance issues to always get the most out of your ad spend and ensure nothing undermines your growth.
Spot & substantiate issues with speed & ease
When spend or performance shifts in any unexpected way, oolo sends an alert explaining the issue, it's cause, and business impact.
In this way, oolo not only catches all points of interest in its deep data dragnet, but contextualizes each issue — translating data developments into clear business directives.
Even with trained eyes, some performance issues leave faint footprints. Those issues can add up to have a big impact on monetization. oolo is simply invaluable for us to find and fix those issues.”
oolo eliminates manual monitoring and allows us to focus on strategy instead of firefighting.”
I see oolo as an extension of our team. It gives us another pair of eyes and scans our data — in its entirety — around the clock. It’s helped us unlock a new level of control .”
I've been working with oolo for several years and it's been an amazing experience .”
oolo helps make sure we never miss an issue — driving time savings, better operational empowerment, and faster resolution.”
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oolo is a must-have for modern monetization and UA .”
As monetization becomes more complex, the need for smart automation and optimization only grows. The combination of oolo's AI and domain expertise puts them in perfect position to answer that need .”
Since oolo actually understands how monetization works , it only alerts us to real issues. That’s helped simplify our day-to-day tremendously.”
In our first month using oolo, they found more than $20,000 worth of anomalies .”
Both innovative and reliable, oolo is a must-have for performance monitoring!”
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As the industry gets more complex and processes become more difficult to scale, oolo is emerging as a new market standard .”
oolo doesn’t just calculate KPIs, but helps us keep track of what’s actually going on. It cuts through the noise to find the real issues requiring our attention. The time it pays us back is simply invaluable.”
Before oolo, we were manually checking every KPI for each game, ad type, and platform; a time-consuming and unscalable process. With oolo as our AI-powered “smart assistant” , we gain back hours every day; hours that we're redirecting to new avenues of growth.”
oolo has all our monitoring needs covered — so we can spend our days doing rather than digging .”
oolo’s ability to not just detect obvious issues like a 90% drop, but to explain more slippery issues — like those obscured by partially delayed data — is super valuable !”
