Coremetrics / IBM Digital Analytics (discontinued) vs. Google Ads

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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Google Ads is a useful advertising tool to build brand exposure and generate lead volumes for your chosen product. Whilst it can be costly at times due to competitor bidding strategies and requires constant monitoring to ensure campaigns perform as expected, it typically provides the desired quality and quantity of leads for custom budgets.

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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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• Automated targeting via Smart Shopping campaign. It's one of the best campaign types in Google Ads. In the beginning, you may see lower revenue and ROAS, but once you give some meaningful time to your campaign, it is most likely to perform well.
• Smart bidding strategies: Google Ads has developed some really great bidding strategies such as maximizing conversion and maximizing conversion with ROAS settings. Based on one's requirement and their goal with revenue and target ROAS, they can choose the appropriate bidding strategy.
• Reporting: A business owner and advertising must know about their audiences, how their campaigns have been performing, what's working and what's not, and for that reason, powerful, effective reporting is needed, and Google Ads provides rich details reporting that covers almost every aspect of a business.

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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.

• If you don't know what you're doing, it will be a costly mistake. You need to target ads, and it is difficult the first time to do that.
• There isn't a feature to run an add for a couple set date spans, just hours you want to run them or a single date span.

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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 Google Ads is good for getting your company out there and becoming more visible to potential customers in general. However, for specific product launches, social media advertising might be a better fit. Also, our user base is younger so social media is a better channel for our target audience.

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Very easy to implement and use.

This is more of a subjective rating, because I think it can be increased with how much our ad spend is. The more of an ad spend, the more visibility we can get, and therefore all features can climb. With an overall larger presence the usability is that where we can get messages out quick, and that's the main thing we try to do with our campaigns.

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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.

We have not yet had an account rep who hasn't tried to bully me or other employees to raise our budgets. At the same time, several years ago, one attempted to help refine our ads and ended up changing the ads to be something we were not affiliated with

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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.

Daily use with advanced account structures. Familiarity with reporting/api and complex setups.

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

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.

Our agency invests heavily in Google Ads (particularly paid search advertising) on behalf of our clients relative to competitors like Microsoft and Yahoo because Google is the top search engine in the world. Google collects the most search data which enables the company to improve its AI to drive better performance for agencies and brands. As such, our paid search and app install campaigns always start with Google. If a client has a large budget, we will allocate media dollars to other search engines, but in some cases, the entire search budget goes to Google because we see the best returns.

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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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• Google Ads is often one of our highest ROI channels, especially when you factor in branded ads.
• Depending on the stage your business is in, search ads can be really powerful from an ROI perspective, providing an investment with a very high spend cap.
• If you do not manage the campaigns well though, you can quickly spend a lot of money on nothing. So make sure someone is keeping an eye on your account.

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