
Adobe Analytics Reviews and Ratings
Community insights

Pros
Customization Flexibility: Reviewers have praised the platform for its high level of customization, allowing for bespoke metrics tailored to specific business needs. Some users appreciate the flexibility in data structure and allocation, which enables them to manipulate and analyze data according to their requirements.
Usability and Efficiency: Users have noted the platform's usability, especially within the Workspace module, as it enables efficient and effective work processes. The intuitive drag-and-drop functionality for ad hoc analysis and custom variable creation is particularly valued by reviewers.
Comprehensive Insights and Reporting Capabilities: Reviewers find the platform superior in providing in-depth analysis that surpasses other similar solutions in the market. They appreciate its comprehensive insights, powerful reporting capabilities, integration with other Adobe products, and limitless segmentation capabilities for detailed analytics and reporting.
Reviews
Videos
Elegant Analysis of Customer Behavior.
Use Cases and Deployment Scope
Adobe Analytics is an excellent solution for gathering actionable insights into customer behavior. Adobe Analytics is a reliable partner for making agile decisions purely based on customer interactions with newly launched products and their after-sales performance. It has assisted us in making changes to product rollout, should we make mistakes.
Pros
- Actionable Insights.
- Data analysis.
- Customer behavior.
- Behavior analysis.
Cons
- The item menus should be more customizable according to daily needs.
- Some improvements to UI/UX.
Likelihood to Recommend
Adobe Analytics is brilliantly crafted for data analysis of the customer journey. Its multi-channel analysis ensures that we do not miss out on any of the analytical parameters. Adobe Analytics comes with a personalized reportage that ensures that only the data is displayed that is needed, excluding the irrelevant ones.
Adobe Analytics Review
Use Cases and Deployment Scope
In our organization, Adobe Analytics monitors [...].com traffic
Pros
- dashboards
- accuracy
- real-time
Cons
- Doesn't connect to our other data sources, so we can't manage sales data through Adobe
Likelihood to Recommend
Need to have other data sources be represented in our traffic dashboards for it to be more of a complete solution
Top Grade Enterprise Analytics
Use Cases and Deployment Scope
We use Adobe Analytics to analyze web traffic, marketing channels and Ad cloud performance spend.
We are also use Adobe Analytics to measure our A/B tests and understand our personalization efforts.
I have reporting requirements for scorecards, periodic updates through emails or dashboards. I also schedule automated reports for specific use cases to the concerned stakeholders.
Pros
- Web Traffic Data
- Marketing Channel Attribution
- Automated Dashboards
Cons
- More flexibility with the date filters
- Enhanced mobile attribution to Play/App Store
Likelihood to Recommend
Adobe Analytics will suit most scenarios and most large businesses that operate at a scale. It is a very matured and evolved tool when compared to its competitors.
It is steep in terms of pricing and will be a bit of an entry barrier to companies that would love a quality analytics platform but may not have the financial resources to afford it.
Good piece of software.... but...
Use Cases and Deployment Scope
We use Adobe Analytics to have a better experience so that we can track several of our campaigns across multiple platforms in one home. It's just easier to see all at one place than to have to use multiple places to look at singular places and then have to compare using multiple windows - if I can do all in one I'm in for of that.
Pros
- Data Integration from multiple sites
- track website performance
- helps to understand behavior of customers
Cons
- Updates would be good
- It doesn't seem to be expanding as much as it could.
- Maybe a new Home Screen?
- Maybe be a bit faster?
Likelihood to Recommend
Like I said prior, Adobe Analytics is a good hub to track a lot of information from multiple sites, and the integration seems to be seamless - but could it be better? Of course. I like having to have all of my info at one place - but Google does a better job of just google information - and that's what they need to strive for.
Powerful tool for clients if its set up right if clients have training on getting the most out of it
Use Cases and Deployment Scope
I use it in a consultant capacity for clients, who use Adobe Analytics to track multiple web estates, either because they're part of the Adobe suite or they want to use something outside of Google Analytics, or because they want to track more steps than just their website. I'll use the data they have and recommend them to collect additional data to play insights back to the client in the scope of recommending CRO / UX improvements to the website based on behaviour observed
Pros
- Customisable dashboards
- Real time reporting
- No limits to dimensions and events
Cons
- In my opinion, it's not that friendly to use / there's a steeper learning curve than GA4
- In my opinion, the UI isn't great, it's fiddly, and you have to SAVE your reports which even I forget to do
- I think it's more complex to implement
- I think it's expensive, when there's free alternatives
Likelihood to Recommend
It can have more depth to data if implemented right, but it's also trickier to use than others
Advantage of Adobe Analytics
Use Cases and Deployment Scope
Adobe Analytics is very helpful product to give us weekly and monthly traffic, engagement and visits to our web properties.
Pros
- Visits/Metrics over a period of time
- Robust Data collection
- Tracking capabilities
Cons
- Improving Data integration
- Improving User experience
- AI powered insights
Likelihood to Recommend
Adobe Analytics is suited for all web properties to provide Metrics, Data collection and tracking.
Adobe Analytics Review
Use Cases and Deployment Scope
We provide, my team provides the business insights from the data that we collect through our web performances and other channels to their business. So we provide reports and visualizations to our business and then insights
Pros
- There are some components that we use it in a very business oriented basis because that's how the product features are built. One is Adobe Workspace and the segments and then the visualization, the different types of visualizations and the insights to the business.
Cons
- I think it's coming up in the future, sneak peeks and we saw that. So AI insights and custom dimensions, custom metricses and no limit on EVARs and props, but I think the next product that's called CJA, that's covering it, which is a great thing.
Likelihood to Recommend
Maybe for a small company with small products for their thing, Adobe may be bit of an implementation too much for them, but when it comes to companies like us, like a life sciences or large enterprises and even small enterprises, but with more products, more analysis that they need to make their marketing experience better, maybe Adobe product is the best suitable.
Adobe Analytics Review
Use Cases and Deployment Scope
The main way is we will take data that's already been, will basically take data that's the result of an implementation either for ourselves or for our clients. And we'll basically go in and build dashboards or relationships or reports to be able to answer important business questions either for ourselves or for the clients that we work for.
Pros
- It summarizes large complex data better than any other analytics solution I've dealt with without the need for sampling, gives the right level of detail, does the right level of breakdowns, aggregation. I consistently not only use Adobe Analytics, but I use other data sets and compare against Adobe Analytics. And as I go into Adobe Analytics and compare, as long as I've done the query right and the other systems, they're very, very close. And if anything, with a lot of Adobe's newer products, they've gotten more accurate over time. So that's basically, you asked me what I liked about it. I like that it's accurate. I like that I don't have to do a lot of explaining. There's enough explaining in the world of web analytics to have to go back and explain why data's problematic. And so like I said, provided that the implementation is correct, it's a very easy conversation. Even if people may not like the answer.
Cons
- I think the biggest room for improvement is performance. When I go in certain times of the day or for certain clients, it's slow and it won't load the reports that I need. And as a result, needing to answer a question where you normally have the expectation of it being a near real-time answer that you get when you have to wait for reports to load or you have to wait because the reports can't load at all. It's a really unfortunate thing. It's a big problem actually. So I'd say that's one area of improvement. It's just improving the performance of the reports so that they'll load consistently all the time quickly and effectively.
Likelihood to Recommend
Anytime you're dealing with very large-scale data that needs to be processed in real-time very quickly, this definitely shines. So if you've got more than 50 to a hundred million page views in a monthly period or more than being able to use Adobe Analytics, be able to answer those questions and literally get data at any time of the year for the most part with very little delay is exceptional. So that's probably what I'd say is the best use cases that are situated. The larger the dataset, maybe not necessarily the more complex the dataset, but the larger the dataset and the more moving parts to it, the better this tool does at being able to answer it than others in the market.
Aurola review
Use Cases and Deployment Scope
Good
Pros
- Traffic tracking
Cons
- Session based tracking limitation
- Data retention
Likelihood to Recommend
Tracking landing pack traffic and funnel
Great tool
Use Cases and Deployment Scope
Understanding how users access our sales and products
Pros
- Counts of access
- Campaign tracking
- Visitor identification
Cons
- Restating data
- Data cleanup
Likelihood to Recommend
Measuring performance is easily reported











