Coremetrics / IBM Digital Analytics (discontinued) vs. Fullstory

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Coremetrics / IBM Digital Analytics (discontinued)
Score 7.9 out of 10
N/A
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.N/A
Fullstory
Score 9.1 out of 10
N/A
Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.N/A
Pricing
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Editions & Modules
No answers on this topic
Business
Contact Sales
Enterprise
Contact Sales
Offerings
Pricing Offerings
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Features
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Coremetrics / IBM Digital Analytics (discontinued)
-
Ratings
Fullstory
6.2
Ratings
20% below category average
Responsive Design for Web Access00 Ratings7.90 Ratings
Mobile Application00 Ratings7.90 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.90 Ratings
Mobile App Analytics00 Ratings6.40 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Coremetrics / IBM Digital Analytics (discontinued)
-
Ratings
Fullstory
9.2
Ratings
2% below category average
Heatmap tool00 Ratings9.90 Ratings
Click analytics00 Ratings9.00 Ratings
Scroll maps00 Ratings9.00 Ratings
Form fill analysis00 Ratings9.00 Ratings
Conversion tracking00 Ratings9.90 Ratings
Goal tracking00 Ratings7.90 Ratings
Funnel Analysis00 Ratings8.00 Ratings
Session Recording and Replay00 Ratings10.00 Ratings
User Segmentation00 Ratings10.00 Ratings
User Ratings
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Likelihood to Recommend
7.0
(0 ratings)
9.9
(0 ratings)
Likelihood to Renew
5.8
(0 ratings)
9.7
(0 ratings)
Usability
9.0
(0 ratings)
10.0
(0 ratings)
Availability
10.0
(0 ratings)
9.0
(0 ratings)
Performance
8.0
(0 ratings)
8.0
(0 ratings)
Support Rating
2.3
(0 ratings)
8.3
(0 ratings)
Online Training
7.1
(0 ratings)
-
(0 ratings)
Implementation Rating
9.9
(0 ratings)
7.5
(0 ratings)
Configurability
8.0
(0 ratings)
7.0
(0 ratings)
Ease of integration
-
(0 ratings)
9.0
(0 ratings)
Product Scalability
9.0
(0 ratings)
8.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Coremetrics / IBM Digital Analytics (discontinued)Fullstory
Likelihood to Recommend
  • 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.
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It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
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Pros
  • 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.
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  • Tracks users' online experiences from start to finish.
  • Makes it easy to share a customer's experiences with the rest of my team.
  • Allows me to use different methods to find evidence of a customer's experience.
  • Shows page insights via segmentation that help me know where to improve my site.
  • Tracks error clicks and dead clicks for quick insights into site improvements.
  • Integrates with HelpScout for easy access to customer problem-solving.
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Cons
  • 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.
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  • Can be a little confusing to know the exact time something happened, in local time or customer time? That's helpful for engineering to look into log files.
  • When looking for a specific session, it would be nice if you have a easier list of sessions with a little more info to choose from
  • It would be nice to be able to save flagged sessions and annotations under my profile to reference later
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Likelihood to Renew
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
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The metrics are hard to understand at times and inaccurate to the point of being unusable. I stopped pulling them and solely rely on Adobe Analytics for them. So far, I've only used FS to watch sessions and determine behaviors
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Usability
Very easy to implement and use.
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Because everything seems to be easy to find and it doesn't take long at all to learn how to use the product
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Reliability and Availability
Never had any issues
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We've never had issues with availability
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Performance
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.
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It seems the performance is really good and always loads quickly
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Support Rating
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.
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Yes, that is correct. FullStory has a dedicated support team that is available to assist with any issues or questions. The team is known for being responsive, knowledgeable, and helpful, and they are committed to ensuring that users get the most out of the FullStory platform. They helped us a lot to implement it with our web app
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Online Training
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.
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No answers on this topic
Implementation Rating
See previous comment: reading and understanding the encyclopedic implementation guide is a must.
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I was not involved in the initial implementation, but I have found it easy to pick up and use without any guidance, so it's very user-friendly, intuitive, and not difficult to get a sense of use, though it may be more difficult to master (I am not a Fullstory master... yet!).
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Alternatives Considered
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.
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Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your site. It is one thing to see a report that says customers fall off a page, it is another thing to actually be able to watch what they do as they fall off.
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Scalability
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.
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Full story was easy to scale with the growth of our teams and organisation
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Return on Investment
  • 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.
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  • We reduced our payment error rate by 20% using FullStory.
  • Our product design team is able to get initial designs approved 95% of the time using FullStory data in order to explain to our stakeholders the reasoning behind decisions. We also do a before-and-after analysis, and we either net out the same with the new designs (just improved visuals) or improve the metric of whatever was designed. More often than not, we improve the metric.
  • We decreased the time to A/B testing insights by 50%.
  • We can usually visualize a production issue via FullStory within 10 minutes.
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ScreenShots

Fullstory Screenshots

Screenshot of AI-generated Summaries used to Take Action More QuicklyScreenshot of a Visualization of Behavioral Data with Custom DashboardsScreenshot of Ready-made for AI Behavioral Data Straight to the organization's Data EcosystemScreenshot of Fullstory's Session Replay, Combined with Dev ToolsScreenshot of Mobile App Behavioral Data