Adobe Analytics Review
September 06, 2023
Adobe Analytics Review
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Adobe Analytics
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.
- It makes the analysis the central part. It almost has a front end as a graph database bolted onto a column or backend, which means a lot to some people and nothing to other people. But my analysts don't have to write SQL. They can drag and drop and they literally can have a conversation with their data. They can ask a question and simply drag something over and get the answer to that question.
- Currently, the cost model is by server calls. Due to the nature of our architecture, we are charged server calls when there are errors on our web pages. And I wish it wasn't. 404 error, 500 error, we even get 200 errors saying everything's okay when everything's not okay. So that's not Adobe's fault, it's our own architecture. But the answer is, I wish there was more flexible pricing with respect to how server calls are charged. Some of them are non-material in terms of what the product is supposed to do for us and we could delete that kind of data, but it's read-only once it's collected. So we have no way of recouping any value.
- It can collect dynamic and custom events. So however we architect our website, Adobe allows us to collect the data we care about and to understand that data over time. So that's very powerful. Whether we're using iframes, whether we're using custom JavaScript, whether we're using container logic within mobile development or using something native like Swiss for iOS - Adobe allows the power of capturing that data at the edge where our customers use their devices.
- We're more profitable because of it. If you can't understand what to improve, what actually will guide your thinking? We can have objective measures based on data-driven decisions based on the data that Adobe generates for us, whether they're KPIs or OKRs. Any type of measurement that you want to derive for improvement, Adobe constitutes the ability to put all those things together and understand optimization over time. We use it to make the experience better for customers and to make it more profitable for the bank.
They both can achieve in isolation. They both can achieve very, very similar objectives. There's a free version of Google. Many in the industry misconstrue that the free version is a better option than a paid version of Adobe. It's a misnomer because to do it at scale, you gotta pay Google, too. So now they atomize the data differently, so their numbers will never quite agree. A lot of that has to do with the sessionization rules and how that data gets, you know, packaged, if you will, to understand the experience. Neither of them are right and neither of them are wrong. It's just their own individual approach. Stylistic approach to how that information can be understood and and woven into a story.
Do you think Adobe Analytics delivers good value for the price?
Not sure
Are you happy with Adobe Analytics's feature set?
Yes
Did Adobe Analytics live up to sales and marketing promises?
Yes
Did implementation of Adobe Analytics go as expected?
I wasn't involved with the implementation phase
Would you buy Adobe Analytics again?
Yes