Adobe Analytics

We were able to simply follow project progress and do basic analytics using our phones thanks to its mobile application. It helps us comprehend each touchpoint in the user journey inside our UI experience on a deeper level. With Adobe Analytics, you can react swiftly to shifting market conditions and grab opportunities as they present themselves.

Adobe Analytics is my "go to" tool when analysing websites, creating dashboards & undertaking discovery work. We do have other analytics tools available, but Adobe Analytics' Workspace module is generally the starting point. It enables me to quickly drag 'n' drop dimensions and metrics while initially exploring the data. Subsequently, I tend to remain on Adobe Analytics to create any required scheduled dashboards using its selection of tables and visuals. I feel Adobe Analytics better allows me to "analyse" whereas some other tools are more set up for basic "reporting".

The company uses it to understand the behavior and the performance of our acquisition efforts. In my team, in experimentation, we use it to slice and dice all of the experiment data.

I think more than ever, our organization is trying to become more data-driven. Just because you're tracking data doesn't mean you're data-driven. So we have a huge effort this year that I'm personally working on to kind of bring together and leverage the Adobe Analytics tool as one of the tools that we use out of probably about 15 different things that we track metrics in. But I'm bringing on a piece of software that actually brings in all that data into one view, one dashboard that'll have the whole health of your pages or your product. And it's just a couple of clicks, right? But with Adobe Analytics obviously being our main tracking tool, it will allow us to start surfacing some of those insights and be able to start moving quicker in regards to what we see out of the tracking to really push it to the software engineers to implement. So really just teaching and changing an organization's mindset of data-driven - just because you can report something out, it's like, what actions do we need to take from that data?

Right now there are some issues with it just released a little while ago, multifactor authentication for our account manager. So some folks were having issues with that the other day that it wasn't coming into their email. Then we had some issues in the code where we were locking them out of their account. So I actually talked to Adobe yesterday about it and they're going to get someone to come help us.

But just stuff like that, for example, are you a problem? Like that comes in because we see a dip or increase right? Rate of something, whatever we were tracking and we're like, okay, that's an anomaly, right? So we go to the Adobe Analytics tool, along with some of our observability tools to really say, okay, we're in the customer journey potentially, right? Is the error happening? What page were they on? Did they go somewhere after? Did they click around somewhere after? It gives us an idea of how to address those kinds of issues that sort of pop up.

I always start very broad. It's always performance-based, so overall visits, shop visits, conversion bookings, and then that goes down from there. So regions, marketing channels, and device types. We're looking at it from a high level and then digging down into what the performance story really is and what are the drivers.

The way we use it is we have websites that are constantly innovating, so we want to launch campaigns and get more customers. We are trying to get them on an energy plan. So I work with the digital transformation teams on all the things that they are launching into the website. I help them figure out how are we going to track it to Adobe Analytics, how are we gonna send the data? I give them requirements like "when we get to this point, send these," and then on the back end there's some configuration so that we can send it to translate to a visible variable. Then once you are on workspace you just pull it and see how many users are doing X, Y, and Z. So I pull reports and also do a lot of reporting.

We are using Adobe Analytics every day for making business decision by analyzing our website traffic and user behavior. We check the funnels to see the drop and check the trend if website fails. The scope is to create trigger points and help whenever we see drop.

We use Adobe Analytics for web and app reporting across our enterprise. With a large website and properties across the country, we have a lot of different use cases for Adobe Analytics. The somewhat basic capabilities are still light years ahead of other products, creating an opportunity for gains from all the available learnings.

Adobe Analytics, along with Adobe Target, is used widely throughout the organisation for web performance tracking to understand the overall ecommerce performance. Via the Report Suite, Adobe Analytics is used for monitoring a large variety of metrics - sales, revenue, conversion rates, along with page performance and A/B testing tracking. The flexibility provided in reporting and ability to save and email to different groups of users automatically is very useful.

Adobe Analytics helps us with valuable insights using data collected from our company sites. It helps us make better and intelligent decisions. It is much better than MIS Reports as it is very dyanmic and much more insightful. It makes these insightful and targeted reports using a very comprehensive database. Using this has helped us build our analytics in automation mode.

I use the reports to identify trends in user behavior and how pages are performing through channels. Also, finding any inconsistencies in user flows to help determine a reason for poor CTR and goal completions.

We use Adobe Analytics to study website user traffic and performance. In addition, it helps us track the best performing pages and user journeys. We monitor a traffic between 70-80K users per month and Adobe give us great amount of insights to target and re-market to our website visitors. The UI can be a bit complex when compared to mainstream tools like GA but they are enhancing at a fast pace. Lastly, we use Adobe to generate different attribution, there are so multiple visualizations and flow reports to understand the data that tells a story.

Adobe Analytics is able to provide the level of tracking and dashboard customizability that helps our organization make more informed business decisions. It provides ways of slicing and dicing the data in ways that the freemium web analytics platforms wouldn't necessarily offer and support. The website is a wealth of aggregated data, and Adobe Analytics gives us the type of insights that are also visually represented very clearly to be useful to business units that might be less familiar with reading data.

We use Adobe Analytics at our organization as part of the Adobe Experience Platform to help us understand client interaction with our web properties including public web, online banking, and our application flows. We are able to take complex measurement plans that help us understand user engagement with features down to a component level and iterate in our sprints to improve our products utilizing the data we capture from our analytics implementation.

Adobe Analytics is a powerful resource for collecting, analyzing, and sharing website data. The application helps organize and analyze data quickly and effectively. We use it as it can provide valuable insights on data from multiple sources. One major upside of Adobe Analytics is the fact that data and insights are first party and unlike Google Analytics, there are more options for customizations.

We use Adobe Analytics to understand how users are using our website. This feeds into our improving our products for our customers based around making them easier to use. Often done through experimentation and testing, which can then be analysed using our behavioural analytics tool. We also use the tool to measure our marketing efforts and understand how successful they are at driving traffic to our site and whether that leads to subsequent conversions. The data also feeds into helping us protect our customers and ensure that they can enjoy our products safely.

My organization uses Adobe Analytics to track multiple data points across multiple platforms that we provide. It is used as the official analytics tool for providing data that is considered "official" in determining whether or not company goals are being met. We also use it to create automated daily/weekly/monthly email reports to employees who need to follow data but don't need access to the suite.

I create dashboards to understand user insights including daily active users, click throughs, lead submissions and more.

We give three main uses to Adobe Analytics:

1. Clickstream analytics for digital channels (web, app)
2. Clusters/ audiences creation
3. Unique digital ID creation to remove anonymity in public browsing when using information from forms in the public area and browsing in the private area (app and web logged ins)

Additionally, we also have Adobe Target, so we can use audiences/clusters and identification to personalize and to experiment.

We implement Adobe Analytics for our clients where we assess that their analytics needs would be best suited by the platform. It often addresses end-to-end challenges in reporting, attribution and helps to solve for gaps in a client's digital transformation. Most often the adoption of Adobe Analytics is company-wide, but the analytics practitioners are the ones in it the most often.

Adobe Analytics is primarily used just within our Digital department, but I believe we are continuing to expand usage to other arms of our organization. The biggest advantage to it is that it is part of the Adobe Experience Cloud and seamlessly integrates with Adobe Experience Manager, Adobe Campaign, and Adobe Target. Our analytics team uses it extensively to create reports that are tied to email campaigns, Target activities, etc. It allows us to create segments of data that are mapped to activities in our other Adobe products. Aside from this, of course, it also can be used for basic analytical data of things like page views, visitors/visits for a page, page path, and so forth.

We have a site where we have 19 Million page views a month. In order to understand the customer journey on a monthly, quarterly, and YOY we use Adobe Analytics. It helps understand the entire user journey and thus enabling us to gather insights on areas to focus on. It is so far the easiest to use and user-friendly web analytics tool I have used.
The representation of numbers and graphs is very smooth and helps download the entire report in CSV or pdfs also allowing us to automate the report and send it on regular intervals to our emails with the least amount of effort compared to any other tool on web analytics.

Adobe analytics was a game changer used to replace Google Analytics. This platform is incredible because it gives you all the bells and whistles that your higher tech customers are asking for, and the details needed for your internal users to not just do their jobs but do their jobs well. This helped us solve the issue of under-performing on analytic data.

Our parent company used it for all the newspapers. It enables our Editorial department to understand what stories are popular and where the traffic is coming from. It also provides us with data about our traffic trend and the behavior of the audience.

Adobe Analytics is crucial to understanding e-commerce performance and provides great insight into user behavior and KPIs. We are able to identify key channels that drive our business and also detect areas of opportunity. We use Adobe Analytics to identify pain points in the customer journey so we can optimize and improve the user experience. Understanding segments of users and how they interact with the site has guided our business and decision making to put the customer first.