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Automating the Monitoring of the Ad Value Chain. How oolo Provides Anomaly Detection with a Business Brain

RAANANA, ISRAEL / ACCESSWIRE / January 30, 2023 / Deep Monitoring startup, oolo, is revolutionizing the way in which publishers and advertisers approach monetization and growth. It all comes down to the data. Whether it's the advertiser or the ad publisher, both are looking to the data trail in hopes of finding actionable insights that they can leverage to resolve problems and realize opportunities. With massive amounts of data to sift through, finding those insights is no small feat. And even when they are found, precious time is lost in the search. Built on a backbone of machine learning and embedded industry expertise, oolo instantly serves publishers with the insights they need to improve performance.

The company's flagship monetization monitoring solution automatically scans ad, revenue, and related data to detect anomalies and alert users to real business problems and opportunities. With their A/B test monitoring, the company helps publishers easily manage experiments and implement optimization - identifying which setups produce the best results. Rounding out the company's offering is their UA suite that helps advertisers monitor performance and optimize spend across different channels, creatives, and cohorts.

Commenting on the company's growth and expansion, oolo's Co-founder and CEO, Yuval Brener said, "Until now, rule-based alerting was the only alternative to intensive daily data reviews. But those improvised alerting frameworks are extremely limited. And those manual reviews are wildly time-consuming, while only covering a small fraction of the dataset. oolo offers a third option; really the only option if you want full observability and the freedom to work on other tasks. When it comes to data review and analysis, we've effectively reduced the workload by 85%."

oolo helps advertisers and app developers save time and resources on large-scale data review and analysis. Instead of manual monitoring, which increases the scope for errors, oolo's technology automatically spots anomalies on a 24/7 basis, alerting users to important issues and estimating their impact on the business.

The company's smart alerting promises to give revenue teams the type of interconnected operational awareness that top flight development teams already enjoy. What the DevOps movement has done for the technical side of the operation, oolo is trying to do for the business side of the operation. It's a level of automation that revenue teams have so far been denied due to the complex and context-specific interrelations of business drivers and their nuanced - sometimes ambiguous - data expressions.

By automating data monitoring, gauging the business impact, and highlighting the root cause, oolo helps save time, money, and resources for its users. It's a value proposition that seems to resonate with a growing number of brands - including Major League Baseball, ironSource, Voodoo, Outfit7, Scopely, and TapNation - lining up to endorse oolo's Deep Monitoring solution.

Concluded Yuval Brener, "We aim to do nothing less than transform the digital publishing landscape. Each data environment has unique data relationships, and it's only by understanding those relationships that you can begin unpacking what it actually means. That's why we're focusing on a single industry, so we can bring that understanding to bear. oolo understands how the data translates to the real world as well as where the levers of control lie across the operation. By combining machine learning with embedded industry understanding and data context, we're able to very quickly tell a story from a mess of data - telling you not only why it matters, but what you can do about it."

About oolo

A Deep Monitoring solution, oolo automatically detects and translates data anomalies into actionable, easy-to-understand business imperatives. Combining machine learning, industry-specific data relationship mapping, and codified operational know-how, oolo helps Monetization and Growth teams maximize impact and minimize hassle.

Media Contact:

Name: Ilan Mintz
Email id: ilan@oolo.io

SOURCE: Oolo Al LTD



View source version on accesswire.com:
https://www.accesswire.com/737282/Automating-the-Monitoring-of-the-Ad-Value-Chain-How-oolo-Provides-Anomaly-Detection-with-a-Business-Brain

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