Adobe Analytics

Adobe Analytics is a data and analytics tool widely used in our organization. The best thing about this product is that it is exceptionally easy to use, even for people who are not very familiar with data or analytics tools. Analytics has solutions for all kinds of business problems—solving product change issues, marketing strategy issues, merchandising assortment issues, operations strategy issues, etc. It is especially useful for solving business problems in the following areas: providing metrics for making tactical or strategic decisions, measuring product attributes, and analyzing operations. Adobe Analytics offers a unique opportunity to gather data from around the world and across digital platforms. This makes it easier for us to track our brands regardless of their digital presence.

Adobe Analytics is our primary analytics tool. We collect a wide spectrum of dimensions to allow us detailed information about our general usage, plus focused tracking for specific key flows to ensure that the business has the proper visibility to make decisions. This data is not only used in Adobe Reporting but it is also exported out for usage in our Data Lake. What is collected is constantly reviewed to ensure data is correct. Additionally, it is tweaked for improvements as we start to use the data in new ways and reports are created almost daily to help answer new questions coming from various teams.

Use Adobe Analytics to understand web traffic, sources, time spent on-page, who CV forms did well, track registrations, and many other KPIs that showcase how our website is doing, as well as any new launches or campaigns. It helps us better understand how consumers are engaging with our site and where we can make improvements or where we are excelling. It also ties into Adobe Experience Manager and Adobe Target very well.

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.

I use Adobe Analytics for analyzing data and content performance across various touchpoints. The dashboards and charts functionality within Adobe Analytics is great for beginners and those who aren’t power users of analytics tools. It's a pretty intuitive tool for daily use.

Adobe Analytics is the go-to tool in our organization. The best part about the tool is that using it is so easy and intuitive that employees who are not so hands-on with data or analytics tools were very easily able to adopt it and use it to solve their individual or team use cases. Below is the various business problem which this product is able to address very effectively: Source of truth for taking any tactical or strategical decision, be it product change, marketing strategy, merchandising assortment, operations strategy (returns, lead time, payment success rates, etc). Various dashboards have been created for different groups of audiences to continuously monitor their primary KPIs. The audience groups are as large as entire departments and also sub-groups within the department. The analytics team owns the instrumentation and dashboarding part, but other teams have gotten themselves onboarded for creating ad-hoc reports using custom reports in Adobe Analytics which is a simple drag and drop functionality. We create conversion funnels and analyze where the drops are and then take appropriate action based on the data. Behavioral analysis and plotting of user journeys are done.

It is used for e-commerce to know the conversions, traffics, reviews and KPIs. Many marketing professionals can know about the KPI and the conversions for the sale, whether it was generated through social media or email. It provides data insight which is [a] really enhanced report. That can provide us [with] logical and analytical data.

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.

Adobe Analytics is a perfect tool and well suited for the associations that have the time and resources to invest in the people who'll be suitable to work on this kind of tool. It's not a simple tool to stand up, maintain, and fluently use within the first time or so of literacy.

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.

We use Adobe Analytics across all of our digital estates, across the international business. Adobe Analytics gives us the unique opportunity to have data on a global scale, persistent across multiple CMS' and a vast digital suite. This means our brands are trackable across their own digital portfolios, despite the previous challenges we faced in gathering this amount of data across a wide number of digital platforms.

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.

It is an e-commerce analytics solution that is used across different departments in the company. It gives insights into how online users behave in different parts of the website/app. We used it to measure traffic, sales, user behaviour on different parts of the shop.

I use Adobe Analytics to understand the customer behaviour of our visitors to the website. Adobe Analytics helps us to develop strategies as per the requirements provided by the website traffic, fix any problems and issues faced by those visitors and deliver an effective and efficient digital experience to our website traffic

We use Adobe Analytics to measure key website metrics. Insights from the metrics are shared across the company including marketing, finance and strategy. We are able to identify which channels and campaigns are more effective than others. Also we run multiple A/B tests on form designs and locations to optimize the website performance.

Adobe Analytics is used across our entire organization but the tool is managed by a single department, digital marketing. Adobe Analytics allows us to measure web activity and track online success through our website.

Adobe Analytics is our company's primary source of performance measurement for all aspects of our B2C website. We utilize Adobe Analytics as the 'version of the truth' in supporting business decisions relating to A/B test and experience optimization campaigns, reporting to senior management, and providing deep analysis on all aspects of our digital marketing. Adobe Analytics provides the quickest viewpoint to measure of campaign performance from email, SMS, and digital marketing.

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

Adobe Analytics is used to gather, clean up, map, process, and report on digital analytics data for all business websites, online shops, and commerce sites, as well as all apps that are guest-facing. Different teams manage different sections of analytics depending on the business line. My team uses app data, including implementation, processing, and dashboard building.

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've implemented Adobe [Analytics] for the following use cases:
Tag management
Web Analytics
Error tracking and alerts
Conversion tracking and reporting
Audience creation for retargeting
UTM tracking Integration with Adobe Audience Manager

Analyzing customer issues, checking conversion between main KPIs, investing conversion drops, creating reports to monitor the behavior of new functionalities or after major releases. I may go and compare metrics on different platforms, different browsers, or by the source of traffic. It is useful checking the customer error trends and the journey of customers dropping off.

We use the data from reports to gain insights into marketing programs that will help senior management understand return on investment from our marketing efforts using the dashboards that we can create through Adobe Analytics. It solves the issue of trying to come up with key performance indicators from various marketing activities.

Adobe Analytics is a powerful and easy platform with the Adobe group. The analytical capability given by Adobe Analytics to the users is impressive and its overall quality is profitable. The Adobe Analytics functions are effective and [have] easy options to get used to and generate excellent data analytics.

Adobe Analytics is the primary reporting tool for all the KPIs in our organization. This covers all visitors, page views, video, advertising, and other events across the entire portfolio of websites within my purview as an SEO analyst. We also segment all the data by visitor source and other conversion factors.