Adobe Analytics

It helps in better ROI on market expenditure . It helps in analysing the Financial reports in organisation.

We use Adobe Analytics in tracing the customer journey experience, and with the help of reports, and predictive analysis we try to make the customer experience smoother by removing the pain points. The in-depth analysis provided by Adobe Analytics really helps us in providing insightful analysis and improving our customer experience.

We have been using Adobe Analytics for almost a year now. We had a problem with inconsistent data flow in our data warehouse. All the data was there, but it was all over the place. Adobe Analytics made the data more measurable and meaningful for management. Management can now look at their relevant data and make more informed and quick decisions.

As an ecommerce specialist, I use Adobe Analytics to track sales and orders, explore journeys, track against comparison periods and flows through sales funnels. The product is core to my daily role, and helps us identify opportunities for growth, as well as bottlenecks within our website, as well as checkout processes.

I am a consultant who helps clients with their Adobe Analytics through implementation and use of the tool. I teach them what it can do and help them get the most out of it.

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.

Among all the Adobe platforms, Adobe Analytics is the most powerful with responsive features which can handle big and large amount of different data and its analytical capability is perfect. The project documentation and data processing using Adobe Analytics is easy and creating impactful data reports is amazing and the easy product to migrate marketing data.

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".

We are looking for:
1. How visitors to our site behave on our site
2. If we spend $$ on ad campaigns, we need to see their effectiveness
3. Always looking for ways to improve our site so that we can get users into our funnel and convert them into custotmers
4. To ensure that our site stays complaint with data privacy

So we are a pretty high volume reference website, so the goals for us are probably a little bit different than somebody who might be e-commerce. Typically people come and rely on us for looking up definitions and synonyms. It's really our bread and butter between the dictionary and the source side. So from a business point of view, obviously that is our mission. We want to be a resource for education and for literacy from a business standpoint. We are largely ad-supported so that's a primary source of revenue. We think about ways to optimize the page to be able to try to get people to spend more time going to different pages. You know, like another big reference site. Wikipedia is famous for getting people going down Wikipedia rabbit holes. So we'd love to be doing the same stuff for etymology and words you know, things to get people to spend a little bit more time on the page.

From an analytics standpoint, we're using Adobe Analytics in a few ways. One is tracking KPIs, tracking revenue, tracking performance. We have certain ads that are getting low viewability and we need to make some tweaks and adjustments on it. We also love to use our Adobe Analytics as just part of general research.

For the content team, it's often the case that there are stories within the data that we find. A really good example of that recently for us was we just had our Word Of The Year towards the end of last year which is always a fun time of year for us. And we chose the word "woman" as the word of the year. And the big reason we did was that we looked at the data and there were a few of these key events where the very definition of the word woman became a pretty major story. You know, a bigger one was Ketanji Brown Jackson, who was confirmed to the Supreme Court. Somebody asked her, "can you define woman?" She, in a legal context, didn't try to provide the exact definition. But when that happened, as a dictionary, searches soared, searches went over by a factor of about 14 what they usually are. We saw it happen a few other times in the year, too. Just related to certain events with trans rights being at the forefront of so many things. That definition of woman has really become this flash point. It did come down to the data for us because the more we looked at it, the more of an obvious pick it was. But we do love when we can do things like that. Oftentimes some really interesting stories surface just in the words that people look up and how those change over time.

The main purpose of Adobe Analytics is how better you understand your customer and how better you provide your service to your customer. That is the main goal, at least from my point of view. So in order to do that, first thing is you just understand how your users are coming, through which channel marketing channel they're visiting your website, how much time they're spending, what kind of products they're looking at on your site, are they're happy with your products, the UI design, and finally are they purchasing your products? That's sort of the main goal.

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 use Adobe Analytics to run all of our weekly performance reporting. We use Adobe Analytics to wire frame data feeds that will then pull out via the API connection or the warehouse and that kind of thing. I work with my stakeholders to help them build their own workspaces to answer their business questions, understand what metrics to use versus other ones, how to break them down to answer what they're trying to figure out. So it's a lot of data management with stakeholder support and then actual analysis in my free time.

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.

We have apps, we have websites, we have Adobe tagging on there, and we want to understand what our users are doing from an informational perspective, a conversion perspective, who's booking rooms, how often are people looking at their honors accounts, where are they coming from, which of our ad partners are sending us good leads or whatever. Any of those kinds of things. We have a whole host of teams that actually use Adobe Analytics and perform whatever analysis is important for the business questions at hand.

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 do use Adobe Analytics to answer how the products are being used. Products meaning software, products on site, and apps and user engagement, especially to understand user behavior and fallouts and the flow on the website. We also use Adobe Analytics to address some issues on the site and see the dropouts and conversion and the opportunities to improve on within the website and apps.

It's used to identify patterns and trends of user behavior across our web and mobile platforms. We use it to answer wants and needs, and types of questions from our business stakeholders who want to understand the digital experience, like what did the user click on its clickstream data. We use that data to optimize the user's experience on the site and to understand the effectiveness of digital as a channel.

Adobe has been used in my organization to track how the Visitors are enagaging and converting on our website. The problem is we never understand which campaigns are bringing in the customers, what pages are they starting their journey and how they are moving ahead in the journey. Adobe just helps us know what are visitors are doing on our websites

Ours in an e-commerce business and therefore we always need tracking of what users are doing while they are using our platform either Desktop, Mobile Site or any of the Apps. Adobe Analytics helps us understand what channels and device are user using and what route are they taking to convert. It helps check the funnels and drop offs at each stage

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 abobe analytics as our main web analytics platform. We pair it with Adobe Target for ab testing when launching new features on our site. Adobe Target is also used for personalization experiences, to provide specific product recommendations to indivial customers. Adobe analytics is also used to perform exploratory analyses, and create dashboards to monitor site performance.

Adobe Analytics is our main tool to measure and analyze traffic across web and mobile applications. Our use-case was related to understanding the type of browsers and devices used by users for accessing web and mobile platforms. Adobe analytics gathers a vast volume of data and gives a direction towards action in real-time. We used this data to understand trends of cross-browser usage in the online platforms and app support required for mobile.

We use adobe analytics across different teams to track customer behavior on the website platform, figure out errors and other issues users are seeing, analysis of a/b and multivariate tests and ad-hoc analyses to answer business questions. Since we have users of varying level of skills to use adobe analytics we publish dashboards as reports in pdf formats so that is easily accessible across different teams.