Clay vs. Coremetrics / IBM Digital Analytics (discontinued)

Sales automation is the most suited use case of Clay. You could generate GTM motions that are auto triggered by the signals, so you could actually create workflows that are triggered on specific signals. For example, a company gets new funding, you can reach out to the company within in a matter of minutes and you can track a lot of news that's happening on Google or using RSS feeds. You can patch that news into Clay and then manipulate that and get insights out of it. The second best use case is the data enrichment or data cleanup. Usually companies have CRMs with messy data. You can import that. Clay has native integrations with Salesforce, HubSpot, Pipedrive, Marketo, and you can import those lists into Clay and then clean the data, enrich the data, and then push that forward, update the data in the CRMs. That's the second best use case that I use it for and would recommend it for.

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IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

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• Pros, I think there are a lot of pros, so I mentioned a couple of them already, so being able to use different data providers. I think being able to massage the data, I call it a data orchestration where I can get different points of inputs of data. I can throw everything in Clay and then I can make all the changes before I use them for campaigns, for email, for LinkedIn, for whatever reason I'm going to use my data, but it's really easy to enrich, it's really easy to do research. It's really easy to build agents that tie to each row in your dataset, like there are a lot of things that you could use it for that are huge pros.

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• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

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• A max column limit. I run into the column limit all the time and kind of have to figure out using multiple tables. Just bugs really. I mean if you start getting too crazy on it, I feel like takes a long time. You can't really identify that it's working or if it's not. So that kind of slows things down a little bit.

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• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

The software is well suited in lead scoring and workflows management. Product reliability in customer outreach management and segmentation. The product is worth it from pricing to quality ecommerce services and automation of processes.

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IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

I think it's actually before the launches today, I would say eight, but after they launch, what's the name of the product? I dunno if it was the web intent or the sculpture. 10, because I think that the sculpture was the missing part of plates till now.

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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.

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.

So in a sense, there is a large community, and because of the community you also learn multiple workflows and how to use it better. You can kind of democratize or source knowledge more easily on how to use the product, and also transfer it so other people can use it more easily. So in a sense, that works.

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Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

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.

• Without Clay we would probably have our agency, but not with the level of sophistication we have right now or really one of our USP that we are certified by Clay. That's how we get a lot of inbound leads as well. So that of course leads to a very healthy ROI. If we look at inbound.
• I think negative as terms in negative ROI, I think this is a nice one to touch on. Expectation management for tooling such as Clay is extremely difficult because people see a lot of stuff happening on LinkedIn from the top 1% of Clay experts and they look at us and "hey, we want the same thing," basically. That's quite a challenge. So that's really a good conversation to have with your potential client as well. Like, "Hey, I know, tell me what you've seen. We're going to see what we can do if that's reasonable or not." Set realistic expectations there and don't expect to go from zero to 100 within a very small time window. So that was something we had to learn. We had a lot of unrealistic expectations for what we can do. We can improve your business, but we can't do it with a factor of X or in a period of eight weeks.

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• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

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