Learn immediately if any of your key indicators are under- or over-performing, including numbers of passengers to and from specific cities/regions, brand or display advertising click-through rates, flight delays due to technical issues, customer service communication counts, average resolution time of support calls, number of bookings or cancellations, weather per geographic region and holidays per country.

I'm excited to share this new customer case study in the ad tech industry. Eyeview is a New York-based video advertising technology company that provides brands with ROI on their video advertising spend. Their VideoIQ® platform provides best-in-class access to highly viewable and guaranteed fraud-free inventory across television, desktop, tablet and mobile. In the real-time bidding business, traffic is king. Eyeview deals with enormous amounts of traffic and they must make complex decisions with minimal latency. With so many indicators and data streams – a spectrum of around 200k metrics – the throughput is so high, they’ve got less than a second to analyze each query. Enter Anodot. Eyeview recognized its need for an anomaly detection platform to improve its alerting method. “For me, the main value of Anodot is being a single system monitoring, detecting, and alerting on everything that happens within Eyeview,” said Gal Barnea, Eyeview’s CTO. “Anodot adds another tier of protection to company revenue.” Read the full case study here to find out how we help Eyeview by delivering accurate and timely warnings, as well as providing rapid signals for positive anomalies of their most critical metric – the number of ads served. Next step? Eyeview's business team will start using Anodot to monitor revenue, delivery and financials. What features do you look for in revenue loss prevention tools? Read the case study. -- image source: http://www.higheredtechdecisions.com/

Linda Musthaler, Principal Analyst with Essential Solutions Corp. delves into the benefits of Anodot for companies that need real time business insights.

The stands have emptied. The Broncos and the Panthers played a great game. And of course, Lady Gaga just might have been the best musical performance during the game…and possibly ever…I digress… Now that the confetti has settled, advertisers are eagerly reviewing the data to see if they hit their goals. With spots running in the millions, advertising during the biggest game of the year is no pee-wee sport. The Second Screen Phenomenon Strikes Again In our post last week, we discussed our client, Wix, and the second screen phenomenon during their 2015 Super Bowl ad campaign. During last year’s Super Bowl Wix saw a huge spike (a.k.a. an anomaly) of traffic when their ad aired on television. The data we examined proved that people actually watched and reacted to the ads by accessing the Web on a second device. So how did they fare this year? Second Screen Behavior Continues For the second year in a row, Wix came out a winner. Below is a graph showing the days leading up to the Super Bowl and the actual day of the game. Note the fairly regular seasonal pattern as the traffic goes up and down each day. Slide your eyes to the right and you can clearly see the spike in traffic. While the Anodot anomaly detection system correlated 240 (!) different application metrics with simultaneous anomalies, the two metrics shown here show jumps of more than 900% in one case, and more than 1000% in the other. In other words, a huge jump in traffic all over the site, including the sign-up page. Note that the anomaly score for this traffic spike is 98, that is, 98 out of 100. In other words, not just a hop, but a huge, massive jump, worth taking note of, and a huge jump across hundreds of tracked metrics. Now what about the second screen phenomenon that we witnessed last year? Sure enough, people are browsing from the closest thing at hand; mobile and tablet browsing to the Wix site jumped by 150% when their ad aired, while browsing from traditional PC “merely” doubled. Digital receivers, i.e. people browsing right from their TVs, while still only accounting for a tiny fraction of total traffic (so small, in fact, that you can barely see it on the graph below), saw a 1000% increase. A Winning Campaign With regard to last year, Wix’s VP Marketing Omer Shai said in an interview with Fortune: “We did pretty good in terms of the amount of money we got back from the campaign we did. It gave us great confidence in doing it [another Super Bowl ad] again.” What’s great for Wix is that since they are a web-based business, with optimized pages they can immediately convert a large portion of their Super Bowl traffic into business. These traffic results are on par with what any advertiser could hope for following a large scale campaign like this. So…who’s going for an advertising touchdown in 2017?

A brief brochure about how to use Anodot to receive immediate alerts when things go wrong in factories, industrial settings and connected cars and buildings.

Everyone knows that scoring ad time during the Super Bowl is a turning point for any business. The Super Bowl is, perhaps, the pinnacle of advertising. Many have wondered, though, if the high ticket price and the effort to create a spectacular ad is actually worth it. Companies pull out all the stops. They push all boundaries and spare no cost. But is it really worth it? Do those ads actually drive traffic? Wix, the cloud-based website development platform and an Anodot customer, ran an ad during last year’s Super Bowl and are looking forward to making waves with a new ad slot this year when the Panthers meet the Broncos. We took a look at the metrics Wix sends to Anodot for anomaly detection, and sure enough, during the 2015 Super Bowl there was indeed a huge spike (a.k.a. an anomaly) of traffic to Wix. As you can see based on the huge jump in the screenshot below, people actually are watching and reacting to the ads. They’re not just watching the ads so they can compare notes at the watercooler the next day, they’re actually paying attention and reacting. The most traffic  came from mobile devices, which reinforces the notion of a second screen phenomenon. Consumers are literally glued to their screens…multiple screens…and seamlessly move from one to the other. See an ad that sparks an interest? Consumers will look away from the television, pick up their mobile device and respond. In Wix's case, we saw a direct correlation in the air time and content consumption. “We’ve seen a direct impact from the Super Bowl,” said Doron Ben David, CTO of Uprise, an advertising platform and another Anodot customer. “In past games, traffic to our networks went down since people were busy watching the game, and then it increased significantly during the ads. Viewers are consuming content on multiple devices and interacting between them.” So what will Super Bowl 50 bring for advertisers and viewers this coming Sunday besides Wix's adorable upcoming Kung Fu Panda ad? We look forward to seeing the results in real time as we cheer from the sidelines.  

A brief brochure about increasing business control with real time business incident detection, anomaly detection and analytics.

O’Reilly Data’s Ben Lorica interviews Anodot Co-Founder and Chief Data Scientist Dr. Ira Cohen about the challenges in building an advanced analytics system for intelligent applications at extremely large scale.

In a new article on DevOps.com, Chris Riley reviews how Internet leader Wix, leveraging machine learning for full visibility, monitors its complex DevOps environment with Anodot. Wix Achieves Proactive Monitoring with Anodot's Machine Learning Challenge: Leading website builder Wix needed a comprehensive monitoring solution to keep pace with their rapid development cycle. With over 60 daily deployments and a complex DevOps environment, Wix required real-time visibility and anomaly detection. Solution: Wix adopted Anodot's machine learning-powered monitoring platform. Anodot analyzes data across various tools, including server logs, APM solutions, and application frameworks. This holistic view allows Wix to identify potential issues before they impact users. Benefits: Proactive monitoring: Anodot uses machine learning to detect anomalies and predict potential problems. Reduced workload: Anodot automates many tasks, freeing up DevOps engineers to focus on higher-level activities. Improved collaboration: Anodot integrates with Slack and Git, streamlining communication between developers and operations teams. Faster issue resolution: Real-time anomaly detection allows for faster identification and resolution of potential problems. Key Takeaway: Wix's experience demonstrates how machine learning can revolutionize DevOps monitoring. By providing a central platform for all metrics and enabling proactive anomaly detection, Anodot empowers DevOps teams to achieve a higher level of efficiency and reliability. Changes made: Removed unnecessary keyword stuffing: Removed phrases like "full monitoring and visibility with Anodot" and replaced them with more natural descriptions. Focused on user value: Highlighted the benefits Wix achieved with Anodot, such as proactive monitoring and faster issue resolution. Replaced promotional language: Avoided phrases like "turnkey platform" and "preemptively makes diagnoses" that could be perceived as biased. Improved flow: Streamlined the structure and rephrased some sentences for better readability.