Nielsen Attribution (formerly Visual IQ) vs Woopra

• Access to FB impressions.
• TapAd device graph for stitching device ids to web cookies.

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• Woopra tracks *individual users and customer accounts*. It cannot be understated how important this is. Google Analytics and other low cost solutions only sample users and provide aggregate data. For enterprise sales, this is critical. Likewise, for product managers trying to segment product usage by types of accounts, this is incredibly useful.
• Woopra updates user analytics in real time. This is critical in a sales context as you want to be able to follow up quickly on opportunities. Likewise, it is useful for customer success as they can see usage in real time for an individual they are supporting.
• Woopra has the most turnkey integrations of any web analytics solution on the market. By far the most useful are Marketo, SalesForce, and Slack, but there are several more we didn't tap into. While any solution worth its salt has an API, Woopra's integrations usually require a login and/or API key, and you are good to go. Here is the current list: https://www.woopra.com/appconnect/.
• Woopra enables B2B product managers to track product and feature usage by revenue, not just clicks. Again, in a B2B context, this is critical, as there are high-value users and low-value users. Knowing the difference is critical.
• Woopra's implementation is super simple. We were able to set it up with a couple of hours of one frontend developer and some help from our product intern.

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• Missing timestamps of the touch points in the output (instead, they repeat the conversion timestamp for all touch points that preceded the conversion).
• Inflated clicks.
• No connectors to import cost from media partners.

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• User explorer could get some upgrades. It has sometimes been difficult to filter some actions, or groups of actions or combine filters.
• Can add more cards to the live dashboard.
• More context data on the user, the device being used, etc.

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• We’ve been implementing for a year now and still not using the tool cross-functionally so probably $0 ROI at this point.

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• Really helped us begin to segment our users based on their engagement and retention.
• Helped increase retention by about 1.5% after about 5 months of implementation (don't shoot the messenger if your team can't implement that quickly).
• I felt like it had great potential to create a pipeline between sales and the CSM, but I had trouble getting the sales team to implement it properly as they had their noses deep in calls and emails (they struggle entering notes in SalesForces as well, so it's more a company specific problem).

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