To help advertisers understand how their marketing performs across media such as search, display, video, and audio, Amazon Advertising is introducing Amazon Marketing Cloud (AMC)—a holistic measurement and analytics solution currently in beta for eligible advertisers. AMC is built on Amazon Web Services (AWS).
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Coremetrics / IBM Digital Analytics (discontinued)
Score 7.9 out of 10
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Based on the former Coremetrics, IBM Digital Analytics is a discontinued analytics product. IBM acquired Coremetrics in 2010, and re-branded the platform to the IBM Digital Marketing Optimization Solution. Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.
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Pricing
Amazon Marketing Cloud
Coremetrics / IBM Digital Analytics (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon Marketing Cloud
Coremetrics / IBM Digital Analytics (discontinued)
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Marketing Cloud
Coremetrics / IBM Digital Analytics (discontinued)
Best Alternatives
Amazon Marketing Cloud
Coremetrics / IBM Digital Analytics (discontinued)
Coremetrics / IBM Digital Analytics (discontinued)
Likelihood to Recommend
If you notice that a certain ad is performing well during a flash sale and want to increase the budget immediately, Amazon Marketing Cloud won’t provide real-time data. You’ll have to use Amazon Ads Manager instead. Example is that with me client has a low ad budget or a small number of customers, Amazon Marketing Cloud might not provide enough data to give you meaningful trends or recommendations. If you find a group of high-value customers using Amazon Marketing Cloud, you can’t just click a button to target them directly in Amazon DSP. Instead, you have to manually export the data and upload it elsewhere.
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.
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.
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
likely because while it offers powerful insights, it has challenges in ease of use. Amazon Marketing Cloud requires SQL knowledge for queries, making it difficult for non-technical users. Unlike traditional marketing tools with simple dashboards, Amazon Marketing Cloud demands manual data extraction and analysis, slowing down decision-making. Another usability challenge is the lack of real-time data, which makes it hard to optimize campaigns instantly. If you want to adjust ad spend based on immediate performance, Amazon Marketing Cloud’s batch processing delays insights. Additionally, there’s no direct audience activation, meaning you have to export data manually instead of seamlessly applying insights within Amazon DSP. However, Amazon Marketing Cloud is highly valuable for in-depth analysis, audience segmentation, and attribution modeling. With better user-friendly features like pre-built reports, automation, and real-time analytics, usability could improve significantly, making it easier for businesses to maximize its potential.
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.
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.
I have compared Google Ads Data Hub and Meta's Advanced Analytics with Amazon Marketing Cloud. Amazon Marketing Cloud is most notable for its insights into the deep Amazon ecosystem, Google for cross-platform tracking, and Meta for extensive social engagement analysis. AMC's privacy-safe query-based model is powerful but SQL-skilled, in contrast to Google's more accessible UI.
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.
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.