Acoustic Analytics Formerly IBM Watson Customer Experience Analytics vs Adobe Analytics

• 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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• Real-time access to website performance throughout the entire digital experience.
• Flexible & comprehensive custom report building using the Analytics Workspace tool
• Integration with other Adobe solutions (Adobe Target, Adobe Launch) to provide a single viewpoint for all aspects of digital performance.

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

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• Color scheme is not great, especially if you're color blind
• Finding a specific dimension within a dimension group (for example, if you're looking for "Paid Search", you cannot search for it - instead, you must know it is located under "Channel").
• Variance test or chi-squared test analysis (to be fair, this is not a typical analysis tool function)

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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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• Adobe Analytics tool has helped our marketing team determine which campaigns and tactics drive more engagement and sales. So, they spend more budget in those channels to drive higher revenue efficiently
• Adobe Analytics tool has helped our merchandising team determine which categories and items have higher conversion rates. So, they can stock more of those products.
• Adobe Analytics has helped out IT team determine which day of the week and time of the day sees lowest traffic. So, they can do their application releases without impacting business

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