Coremetrics / IBM Digital Analytics (discontinued) vs. NinjaCat

• 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

NinjaCat is very good if you have a lot of clients in the same Industry doing similar advertising. You can set up templates and use them across multiple clients. All of our clients are in the same business and do digital advertising on the same platforms. It is time-consuming to set up the first set of reporting templates, so it could become cumbersome if you have different clients in different industries. That being said, the NinjaCat staff will do their best in assisting you with the onboarding and set up process.

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.

• Automated Report
• Data Visualization
• Customer Service
• On-Boarding

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

• The training was a little rocky, but that should be expected when implementing a new platform with such a vast scope of data sources and reporting formats.
• Communication with our designated rep was a little difficult. I realize that they were trying to manage their time, but sometimes I just needed a 2-minute phone call to get an answer, and that proved to be difficult.
• Occasional reporting delays. If you schedule too many client reports on the same day and time, the system can get bottlenecked. We haven't had any recent backlogs, but in the beginning it was troublesome.

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

Very easy to implement and use.

Never had any issues

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.

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 platform is in-depth and thorough. The support team is amazing. The ability to do automations and data visualizations are fantastic. However, it does lack integrations fore taking data to the next step. Other platforms let you integrate Python and R scripts for organizing data or even forecasting. If NinjaCat were to add this, I think it would be a 10/10 and best product on the market

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.

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

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

NinjaCat offers the best of both worlds. It will not break the bank, as these other platforms can run high prices for small businesses, but at the same time offers one of the most in-depth data insights. The biggest difference though is the support team at NinjaCat. They will help you design any template when it seems like it can't be done and are friendly and patient the entire time.

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.

• 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.

• Improved perception of business by improving reporting
• Much quicker optimization for clients
• Stands out ahead of competitors