Coremetrics / IBM Digital Analytics (discontinued) vs. Lusha

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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It excels in contact information, but leaves wanting when it comes to company data and matching, allowing only for matches on either URL or Company Name. Our standard practice is URL, Name and Country which ensures better accuracy. We use it primarily for adding mobile and email details to existing contacts. 25 Intent topics that we can change monthly gives us flexibility to search for specific signals that some of our other tools do not have access to. However, the exports do not come with a number, instead a description.

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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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• Identify prospect from Linkedin/Sales Navigator pages
• Show email ID and phone numbers of the prospect
• Reflect the correct/complete name of the prospect
• Suggest contacts from similar profiles
• Copy/edit option available for better user friendliness
• It shows relevant information of the prospect's company as well

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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.

• It would be nice to have a general idea of how many contacts it has information for on a particular account at the very start before scrolling through the different pages.
• It would be great to also have the titles of individuals on the list, so it's quicker to sift who to keep in or exclude prior to revealing details.
• No product is perfect! Some of the information generated can be inaccurate or generic, e.g., a phone number for a persona may not be direct for that individual but could be a general customer service number for the company and could be the same number listed for multiple prospects.

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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

It suits our requirements perfectly and fits well within our budget

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Very easy to implement and use.

Simple, clean efficient. No lags and gets us the exact data that we need. No unnecessary terminologies, and it works like a charm every time. From prospecting to lead generation, and intent searching, Lusha is our go to tool and it has stayed ever since we started using it. i would highly recommend.

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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.

Shani Segev is a rockstar. She has always been there to help us overcome any challenges we encounter while using Lusha.

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Issues solving

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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.

Fast responding

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See previous comment: reading and understanding the encyclopedic implementation guide is a must.

The platform is super easy to use. The UI is very intuitive and clean, and has a similar layout to other data tools meaning you can very quickly jump into it and understand how to source contacts or companies, create lists or run email sequences. At first I found the addition of the AI to be quite overwhelming as it is pushed quite heavily on a number of areas of the tool, but once you get used to that the tools are very helpful. I also found it much easier to setup intent signals than other tools which was a nice bonus. Marked down slightly as I find the CRM integration whilst easy to set up, can fail and disconnect often.

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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.

I used a lot of tools, but Lusha is the most accurate and precise data. Other may have a better user experience inside the platform, but it doesn't really matter if the data generated doesn't convert into sales. Lusha also provides phone numbers, which is fantastic, and most of the tools delivers only emails adresses.

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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.

• 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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• More time Selling, Less Time Searching: B2B selling today is all about how fast you can reach your prospects. Searching for contact information was daunting and painful a few years back. With 1-click imports, integrations and hunts: tools like Lusha are a massive benefit in terms of saving time in the ever laborious task of List Building.
• Better Phone Numbers: Especially in regions like EU and APAC, where mobile numbers are not available with tools like ZoomInfo and Apollo, Lusha comes as a saviour.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info