Coremetrics / IBM Digital Analytics (discontinued) vs. Countly

• 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

Countly is wonderful. It mhas affordable options for startups that are experimenting with event and market-tracking services that can't afford more expensive services but do have the cloud credits to operate Countly. For later-stage companies that have the money, but not the time to set up a service like this, a service like Amplitude, Segment, or Mixpanel may be a better alternative.

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.

• It helps in understanding the user journey.
• Customer attributes and persona is also a good feature.
• Analytics & attribution as well real time user data.

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

• Bad UI - The UI is quite outdated and poorly designed, which was one of the principal reasons for us moving away from Countly.
• Some poor documentation - 3rd-party documentation and tutorials for some of their mobile SDKs are better than Countly's own documentation.
• Server requirements can be a bit high - For startups with trial credits on cloud computing services, this may not be a problem. Otherwise, Countly can get as expensive as hosted services like Segment and Mixpanel.

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.

Countly practically does everything you need it to do. However, it can have challenges of its own sometimes.

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

Well, Countly is open-source. It got a very helpful community in its back that will surely help you on your projects. Countly is known for its mobile analytics and marketing platform for businesses. It excels at mobile data analysis and working directly with customers to boost engagement. Its main job in "user retention" is to assist you to comprehend custom activity in any component of your app and communicating that data to the server. Its user-friendly and well-designed app features improve consumer happiness. Unique features like in-app activity tracking and analysis can increase in-app usability and user experience, resulting in higher retention and income.

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.

• Allowed me to understand my customer on a deeper level
• Allowed me to tweak my content and sales pages
• Allowed me to better understand my target market.

Incentivized