Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) vs Tealium iQ

• Tealeaf provides a unique view into a website beyond what typical web analytics can provide.
• It captures all of a website's traffic, no need to tag pages or decide ahead of time what data you want to capture.
• Data is captured and processed in real-time which reveal unknown issues as they are happening.
• Replay session to see what a customer or user actually did and not just they remember doing when a problem occured.

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• Allows us to stay nimble and focus on limited developer resources to other more critical development tasks.
• By have the flexibility to add, but also to remove tags easily, you can ensure your site speed doesn't suffer from forgotten tags still on the site.

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• More knowledge sharing sessions
• UI/UX Improvements
• More tooltips on icons

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• Really the only thing I can think of is that the js templates for custom containers are hard to find. The casual marketing user would probably never find it unless they researched it. But then again, our marketing department usually isn't changing these. Just one of those things that as a developer, you have to remember how to do or make a note of.
• This one is minor and based on the perception of certain individuals on our marketing team and didn't apply to me. After the launch of Tealium iQ Tag Management on our site, there was some confusion over a poorly performing third party tag. It was thought (wrongfully) that the Tealium servers were causing the performance problems with data not being sent to said third party. However, this was not the case at all. The Tealium servers were managing and delivering the JavaScript for the tag just fine. It was the final delivery of the data to the third party servers (via a pixel tag) that was causing the issue. So maybe the weakness here was that there was a broader misunderstanding of how Tealium iQ Tag Management actually worked.

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• The ROI question needs to be focused on clients and not our use internally. We leverage this as a platform for designing customer journeys for our clients.
• The ROI case is far easier to make for eCommerce operators. Customer journey failings can be easily quantified and seemingly simple issues can generate large ROI outcomes. For web assets without a trading bias, ROI can be established using notional value attribution. For example, a lead for motor insurance that is lost can be costed based on average policy value over a typical lifetime; struggle on a customer self-service portal can be quantified on the cost of handling through a call centre; etc.

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• We haven't recognized all of the benefits yet, since we're still working on implementation, but our last set of tags deployed (Quantcast, Criteo) were quite painful to implement. Once we get our Tealium data layer properly implemented, we're looking forward to the day where we can deploy a new tag for a display vendor with a few clicks.
• Just having a paid option is a nice improvement over Google's free product, which means support is non-existent. Our business is at the point where paying for support is preferable to free product.

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