Coremetrics / IBM Digital Analytics (discontinued) vs. Google Analytics vs. Angular Feature Flags

• As mentioned earlier, transactional heavy web assets such as eStores are particularly strong candidates.
• IBM CXA along with other, similar tools, is not set-and-forget. The solution must be well managed in order to deliver value. Purchase of the solution is one thing; driving analytic results is another. If a company's staff are not strong analytical thinkers, CXA will not help. IBM CXA is not just a technology platform - it is a basis to design strong customer touchpoints and interactions. You need to be customer journey design literate to get the best from this.

Incentivized

Honesty, there is no reason that a company wouldn’t want to implement Google Analytics. The regular version is completely free, is very easy to configure, and provides immense volumes of website data. There are also tangible benefits to the other Google tools it can connect to, and it integrates with any BI/data platform that you might use. The only time I’d advise not using standard Google Analytics is if you’ve purchased Google Analytics 360.

Incentivized

Feature Flags are well suited for apps which are being developed across numerous teams in order to extend and basically enable/disable whatever areas of the app you want. It's not really necessary for an individual developer or perhaps even a single team of developers, depending.

Incentivized

• Marketing attribution models - capable to deliver an holistic view of the marketing channels performance
• Multisite capabilities : allows to have a Cie view as well as individual site's view
• Unique customer view and Live Profile: we are able to go to the visitor level and therefore use the behavioural data for marketing actions
• Reliability of the data: we have full confidence in the data collected and the rules are clear for us
• Support: available support 24h/7.

• Multiple reports to see website use and behavior
• Allows you to customize reports with days, weeks, months, and years
• You can build out a dashboard to easily view stats from multiple websites in one place
• You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats

Incentivized

• Allows for easy configuration of what you may define as features
• Allows for a customization layer to utilize Feature Flags

Incentivized

• The new UI is slow, buggy, incomplete, is not intuitive, and has limited support or explanation.
• The demo videos for the new UI showcase features that are not even available in the new UI and support said those features may never be available so they are not sure either why they are shown in the demo videos.
• Tag management is extremely manual leaving a lot of room for human error.
• Support across the board for the legacy UI and new UI are not very helpful. They typically do not take the time to understand the root of your problem and commonly default to the response "that feature is not available". For example, you cannot currently delete reports in the new UI even though there is a delete button available. Support says the feature is not available, so if you want anything deleted you have to submit a list to support and they will delete it for you. This is extremely frustrating when you are creating "test" reports in the new UI and then you have no option to delete them when done.

Incentivized

• While raw data is nice to have, I do wish there was an easier way to provide reports from Google Analytics directly. Something that could answer questions straight-forward for people.
• I would appreciate "helpful hints" or a cheat sheet of some sort, so when quickly searching for something such as time on a certain page, I can find it quickly.
• I really don't have a third point!

Incentivized

• Would be nice if there were a built in route guard and more end to end solution out of the box I suppose

Incentivized

It is still a best in class analytics platform, but working with IBM contracting has proven to be quite a hassle at times... There are proven pros and cons to each of the major systems and vendors (most I already listed). I always recommend to establish the business questions you are trying to answer, determine which platform answers them best and decide whether it is worth the dollar investment

Having used Google Analytics for the last 9 years, I have no intention of discontinuing my service. Google Analytics is a fantastic product that provides me with almost everything I could wish for. The positives in this product outweigh any negatives that you might find. I can not think of a single reason to not immediately start using Google Analytics for your business.

Very easy to implement and use.

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

Never had any issues

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.

As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.

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

Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.

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.

Incentivized

Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.

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.

1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.

See previous comment: reading and understanding the encyclopedic implementation guide is a must.

Make sure to put the tracking code on every page. Ideally this would be part of a template or "include" so you can update the code on all pages (or at least within pages of the same category) at once.

IBM Analytics is a great tool for measuring and analyzing web traffic along with consumer behavior to a degree. When compared to other solutions and tools available in the market today, I'd suggest checking out Kissmetrics or even Google Analytics over this tool. Ultimately, it will come down to the end user and if they are comfortable in the environment of the backend and workflows of IBM Digital Analytics.

Incentivized

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.

Incentivized

We still utilize Git as our source control system but Feature Flags allow us to use Git in a less complex and more efficient way for our development needs.

Incentivized

This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.

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

• Using IBM Digital Analytics has allowed us to optimize marketing spend for our clients and provide us the insight to reduce the spend on vendors that are not performing well or not bringing in qualified traffic.
• Using IBM Digital Analytics data to power on-site product recommendations has increased the percentage of total sales from recommendation zones to around 10% compared to around 1% with manually merchandised zones.
• Using IBM's TruePath Funnels to analyze the checkout process for various clients has allowed us to see where visitors are dropping out of the checkout process and make improvements to increase conversion rate.

• Great for visualizing website drop-off pages to theories and test update/iterations.
• Bounce rates on pages to pinpoint bugs and issues.
• Inaccuracy can lead to incorrect conclusions and decisions around CRO.
• Segments can be very useful for validating split testing, providing a free tracking of variation vs. control - great ROI.

Incentivized

• I would say a large ROI considering the reduction in branching and merging we need to perform and also the ability to use common, up to date code across teams. There's a lot of shared code we make use of, particularly with identity and authentication and our entire identity platform which is essentially used by each feature.

Incentivized