Coremetrics / IBM Digital Analytics (discontinued) vs. Twilio Segment

• 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

Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application

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.

• Unmatched insight into the customer journey when they come into contact with our business.
• The ability for it to break down data in a way that allows us to analyse customer engagement.
• It efficiently integrates with my current softwares eg Shopify.

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

• Potentially, it could "warn" the developers/product about areas in our code that are not covered by events (and let us decide if it's "be design" or we missed it).
• It's difficult to get accumulated history data exported out in order to analyze it.
• There's no easy way to compare data from 2 sources (our main target is to compare the same events between our test environment and prod environment).

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.

Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.

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

Segment is not really suitable for most websites that have more than 10k MTU - If you run a semi-popular website, there are many tools out there that will do basic web analytics, like Google Analytics. Google Analytics provides simple resources for tracking user growth, demographics, and conversion rates of websites, which is more suitable for companies that are looking for simpler analytics data.

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.

• Event tracking lets you take ownership of your own data, which in part makes it easy to craft metrics and do deep dives to see how your product is working. This has a huge ROI, because without metrics you're basically flying blind.
• You can also use Segment's event tracking to fuel your experimentation and AB testing strategies. AB testing is the best way to ship features in a tech product with confidence that you're making a positive impact.

Incentivized