Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
HCL Unica
Score 8.9 out of 10
N/A
HCL Unica is available as a cloud or on-premise solution that provides fully integrated marketing automation software for enterprise. It includes enterprise marketing automation tools that optimize marketing activities, to ensure excellent customer experiences and data privacy.
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
I think it is wel suited for a business with a lot of one on one relations in the database. For example a supermarket that sells products to a client and gives a reduction on that product. It is nice if the selection process is not to complex and does not involve to many calculations. It is also nice if it is very clear what you want to follow up. In our environment we have lots of many-to-many relations. for example one product is held by more then one client. And that client might have more of those products with other clients. These kind of situation demands for a lot of calculations with derived fields(*), and there things go far too slow. Unica is probably not such a good solution for us, because our environment is too complex, and so is to process of creating the selection, we often have to change things in the selection flows. Because of the complexity it is difficult to see what the flow is exactly doing afterwoods, it also takes to much time to modify existing campaigns. The interface is not handy to work with, if you have long lists of variables, of tables or derived fields(*) you have to scroll through trough them, you can not really search them or reorder them. You can not drag and drop fields or other objects like derived fields in the flow, what would be easy if you have to make frequent changes to the proces flow. When you copy objects something the content of the object changes because the links with other objects or lost. (*) derived field: field to calculate something
Ability to translate Multiple SQL queries into a very easy to use visual GUI.
Provides the ability to pre-define segments, run them once in off hours, store them in their own system tables for quick youth and a significant reduction in CPU utilization on the database.
It’s use of Reusable objects. Including user variables to pre-define calculations one time, macros that you can create and pass values to parameterize the SQL code And the creation of templates to easily replicate work.
It’s ability to bring in external data on the fly that can very easily be mapped into any flowchart.
It’s flexibility and creating UNIX script via triggers to automate sending of files to multiple vendors with different FTP sites
It’s flexibility in the output layouts that it can create.
Greater integration of real time (Interact) capabilities with outbound channels, in particular IBM eMessage Email & SMS delivery.
Additional outbound channels to be integrated into eMessage, including Facebook Fanpage & Twitter DM broadcasts. At the moment these are possible only through custom additional integration.
Support for additional marketing database technology, e.g. MySQL, Exasol, ParAccel, WX2.
Provision of database technology with software purchase, as Web technology (IBM WebSphere Express) is supplied for free, but no database is supplied - since IBM also market DB2, which is a supported technology it seems a shame.
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
There are three main factors to renew a licence: 1) Cost to migrate to another platform would be rather expensive and time consuming, plus the requirement of retraining employees to use a new tool 2) It has been proven time and time again that it is a market leader in the space (10 years +) 3) It can be built upon, with the addition of additional IBM EMM modules - despite theories it does have very strong digital capabilities.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
- We had to rebuild a part of the datamart afterwards to tighten up and simplify the selection process. But as it was too time consuming to rebuild all the existing campaigns, we no run campaigns on different versions of the datamart. - The response tracking of the campaigns never worked out well, it was impossible to implement a direct response where there is a link between the lead and the response in our operational process
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
The contact history and the response history are so powerful. You can track whatever you want to help the call center to push relevant offers to our customer. In addition, predictive models can be built, with patience, in IBM Campaign. If you have some complaints from the call center about any campaigns, you can easily validate it into the contact or response history.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
