Anodot > Case Studies > Anodot Autonomous Analytics Enables Browsi to Keep Pace with Data

Anodot Autonomous Analytics Enables Browsi to Keep Pace with Data

Customer Company Size

SME

Region

America
Middle East

Country

Israel
United States

Product

Anodot Autonomous Analytics
Browsi AI technology

Tech Stack

AI
Data Analytics
Real-time Anomaly Detection

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Revenue Growth
Productivity Improvements
Customer Satisfaction

Technology Category

Analytics & Modeling - Real Time Analytics
Analytics & Modeling - Predictive Analytics

Applicable Functions

Sales & Marketing

Use Cases

Predictive Maintenance
Real-Time Location System (RTLS)

Services

Data Science Services

About The Customer

Browsi is a startup based in New York and the Tel Aviv area. The company's technology provides large-scale publishers with the tools to gauge the visibility and impact of their online ad inventory. It uses AI to calculate content engagement, scale, and user experience, to optimize ad layouts, and to predict visibility for future ad campaigns. Its international clientele includes the U.S.-based media conglomerate Hearst Communications Inc. and the Israeli online media company Ynet. Browsi collects enormous amounts of data on a daily basis and so needs an autonomous monitoring system to assess KPIs.

The Challenge

Browsi, a startup providing large-scale publishers with AI tools to gauge the visibility and impact of their online ad inventory, was struggling with handling the enormous amounts of data it collects daily. The company needed an autonomous monitoring system to assess Key Performance Indicators (KPIs) such as page views, ad impressions, and other metrics for online movement and ad interaction. Browsi required real-time capabilities to respond to business or technical issues as they arise and to alert their customers of potential problems. Before integrating Anodot, Browsi had a limited view of its data systems and was alerted of technical or business problems only a day, and in some cases only several days, after they occurred. These delays and faults translated into a loss of revenue that could easily reach thousands of dollars.

The Solution

Anodot provides Browsi with a comprehensive system through which to parse out and analyze massive amounts of data as well as produce critical, macroscopic views of their customers’ various dashboards and KPIs. With the advantage of Anodot’s real-time anomaly detection, Browsi is freed up to get to their foundational work of increasing the visibility and impact of online ads. Anodot’s real-time anomaly alerts have allowed Browsi to improve their monitoring capabilities and focus on their more critical work of increasing ad visibility. On a daily basis, Browsi collects around half a billion events from its large-scale data sets. Anodot provides only around 10 to 20 event alerts. With such lean, reliable, AI-powered updates, the company can be confident that they are dealing with mostly real issues that merit their attention, as opposed to false positives or false negatives.

Operational Impact

Anodot’s real-time anomaly alerts have allowed Browsi to improve their monitoring capabilities and focus on their more critical work of increasing ad visibility.
Browsi is now able to leverage all of the company’s accumulated data, create alerts only when they are truly needed, and save employees valuable time and money so that they can direct their energies towards optimizing their software and expanding their business.
Anodot alerts provide Browsi with comprehensive data analysis taking into account important variables, like, why views are low on a Sunday in the United States or on a holiday in Europe. Browsi only receives updates when there is an authentic reason for concern.

Quantitative Benefit