Adobe Target vs. Coremetrics / IBM Digital Analytics (discontinued)

If you're using the Adobe stack and tools to power your website, Target is a great solution to implement. I've utilized Target within two organizations, one running on Adobe Experience Manager (AEM), and the other on Adobe Magento. I don't see how companies could harness the full capacity of Target without also having Adobe Analytics integrated. This is their 'secret sauce' and might not be a good solution for companies who are invested in Google Analytics 360. Integration was straightforward but did require support from the Adobe team to implement successfully. While Target is a great tool for digital teams to support, you'll need your tech team aligned and available to support implementation.

Incentivized

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.

Incentivized

• This application gives us an incredible integration with Adobe Analytics that allows its operation to be the best and determine the performance of our website.
• It offers us an analysis based on user behavior and a web page customization option to adapt and meet the needs of those users.

Incentivized

• 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.

Incentivized

• This is something a lot of testing tools struggle with, but I think the WYSIWYG ("What you see is what you get") editor - or Visual Experience Composer (VEC) in Adobe terminology - could definitely use some work. It's a struggle to execute many tests beyond simple copy, color, placement changes, and even the features that do exist are often clunky if not altogether broken.
• The interface itself can be a bit counterintuitive in certain parts. If you are familiar with other tools, it's likely middle of the road in this respect; think much easier to understand than Monetate for instance, but a far cry from the simplicity of an Optimizely.
• It can be a bit buggy from time to time. The worst example is the frequency at which the tool will fail to save due to an error, but not inform you of this until you try to save, at which point your only option is to log out, log back in, and make all of your updates once again. It can become an extreme pain point at times, and I personally have just gotten into the habit of saving every couple of minutes to avoid a massive loss of productivity.

Incentivized

• 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.

We have a team of people trained on how to use the application and it integrates well with the other Adobe products we use. Our future roadmap of testing will require some complex scenarios which we hope Target will be able to accomplish

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

Can be difficult to learn, but once you understand Mboxes and the nuances of the system it's very user friendly

Very easy to implement and use.

i don't think we use the full functionalities of the tool, but to use the full functions, it's almost impossible (Too hard)

Never had any issues

The bottleneck is never the software program

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.

On several occasions, we have had the need to ask for help from the Adobe Target support team, and I must say that they have provided us with an excellent experience, as they take care of solving the problems quickly and with high precision

Incentivized

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 instructor that came to train us was awesome and this training was very useful. I would recommend it for anyone who is going to be using this software. I only mark it lower because it is an added expense to an already expensive product, and a lot of the training covered the "Target" portion of the software (which again, we didn't use)

The training was very easy to understand, however it would have been more useful to my development team than me. It was also primarily over-the-phone, which is never as easy to follow as in-person. We ended up scheduling and paying for an in-person training session to supplement the online/phone training because it wasn't helpful enough.

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.

Implement using a global mBox on the page so you can change any and everything over the traditional method. Traditional method is good if you do not have technical web dev resources, do not know Javascript/jQuery, or you have money to blow on mBox calls. Global deployment reduces mBox calls and allows you to touch many parts of the page easily. A lot more customizable

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

We seriously considered another software but because we use so many other Adobe products this made the most sense for us. If you are not dependent on other Adobe software and are a smaller company, in my opinion, Target may not be the best fit.

Incentivized

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.

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.

• We have been able to run specific A/B tests that have shown an increase in conversion, which in turn has led to very large banked sales numbers for the year.
• We have been able to prove that using and automated Merchandising process did not decrease conversion. This allowed us to greatly increase efficiency by opening up resource time.

• 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.

Incentivized