Coremetrics / IBM Digital Analytics (discontinued) vs. Entrinsik Informer vs. Google Analytics

IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

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It makes creating queries very easy for end users so not only research or technicians can do it. The availability for creating Live reports that are accessible via Excel on the network has given many of our users the ability to get the information they need in a format they can use without needing someone to translate the raw data

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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.

• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

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• Simple user-interface: Informer is relatively easy to learn and end users can begin running reports and creating new reports quickly.
• Email "burst" functionality: This feature allows emails to be sent out based on data in the report. So for example, a report could be scheduled that would email all student employment managers listing out the specific employees that report to them that haven't submitted their time sheets. Each manager would only see the rows that correspond to their email address.
• Analytics and grouping: Users can quickly drag columns to group and sub-total, and can use the analytics tab to get deeper insights into the data.

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• 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

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• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

• There are a lot of reports that we have in Informer that say they have never been run, even though I know they have been run. So that makes it really difficult to determine which reports can be deleted to keep a tidy report list.
• The only other complaint I have about Informer is that there doesn't seem to be a properly detailed error code/message when the student information system can't be accessed. For example, I am currently trying to move Informer to its own standalone server and I get an error message saying that our license isn't valid. Informer Support sent a new license, which prompted the same message, and the only explanation they have given me is that Informer can't reach the student information system. I would think that if that were the case, the error message would say that instead of an invalid license.

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• Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
• Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
• Gotchas around filtering and data validation.
• Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.

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IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

Informer has been handily meeting most of our reporting needs, and we've created a library of hundreds of reports that are used every day. They have a terrific support service to help when you have questions, and I've found them to be great at listening to what customers would like and adding new features. They are a small company that really listens and really cares, and I've been very pleased over the past few years getting to know them.

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.

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Very easy to implement and use.

From the perspective of the new user and a seasoned user I would say eight would represent both parties. It presents a 'familiar' interface and easy to navigate display. Tagging is quite nice and allows for organization of reports based on those tags. These have to be monitored like anything else to keep them consistent but provides a better than average means of organizing reports.

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 have 10 concurrent licenses and we average between 6-8 at any given time during the day; and we host the application.

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.

Always able to get acceptable solutions in reasonable time from friendly support staff. Initial contact is always with knowledgeable person - not someone reading from a script trying to screen calls. Thanks Entrinsik for being in tune with my needs.

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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.

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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.

We bought the product on a Thursday morning, and we were writing reports on Friday afternoon. We did take about a month to manage the Mapping, Linking and Security to allow us to open it up across campus. We are now mapping from as many third-party vendors as we can to enable the creation of more ad-hoc reporting.

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.

Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

I have experience with Advizor AnalystX, and it was just awful. It is advertised as an interactive reporting tool, in which you can use your mouse to select and segment constituents by where they live (by clicking on a map), how much they've given to your institution, when they last gave, etc. In practice, their map feature was unusable; it's a static map image (imagine a paper map hung on your wall), rather than draggable and zoomable Google Maps, and it required hours of work to configure one map region. As far as computing constituents' giving statistics, it required way too much back-end work to build simple giving totals.

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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.

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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

• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

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• We have definitely improved customer service due to better reporting using Informer. All departments are better empowered to help our students in a more timely and accurate manner.
• Using Informer has given us the ability to eliminate functionality within our ERP system and offload reporting to a data store instead of the transactional system. This has resulted in successfully upgrading our core systems and improved response times.

• It has helped us gain understanding of what is going on on our website.
• It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
• It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
• It has helped guide our website redesign.

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