comScore Digital Analytix (discontinued) vs. Amplitude Analytics

DAx has the features, very advanced features (mentioned later) that a power user needs, and is highly customizable, but doesn't require software or hardware ownership. For those capabilities that are not currently there, the customer reporting team often finds a workable solution that we can present to our client.
For the more basic users and executives, the dashboard often meets their needs; else the report tab can help with quick access to metrics that have already been built by analysts.
Lastly, the level of complex analysis in the tool still impresses. You can analyze web events at the event level, visit level and visitor level. You can apply filters at the report level (for all three - event, visit and visitor) or metric level (again for all three levels). On top of that, they have a concept of scope and rules which, combined with the 3 levels, can really allow a power analyst to ask just about any question and get an answer.

Amplitude Analytics is well suited for scenarios where you have multiple data points to understand customer behavior and journeys and utilize simple to medium complexity graphs/charts. It may not be suitable for scenarios where you need to slice and dice data into highly customizable dashboards as that requires significant effort from technical teams.

Incentivized

• DAx has a really flexible user interface and if implemented correctly has the potential for great reporting.
• StreamSense is an excellent video counting add on for DAx. Gets very granular data.
• The virtual sites concept really makes segmenting data very efficient and logical.

• Feature analytics - measuring frequency of usage
• Time taken by users to convert in funnels
• Actions that drive certain user behaviors in funnels via correlation
• Actions that lead to user drop off in funnels via correlation
• Comparing behavior of two custom user cohorts

Incentivized

• While I know they are making strides in this area, Digital Analytix is definitely built with power users in mind. The learning curve can be steep.
• Because the platform is non-restrictive in terms of label/variable naming, power users need to have intimate knowledge of their schema in order to build reports on their custom variables.

• Some more clarity and examples of implementation with GDPR in mind
• Some segregation inside user properties can be difficult to implement
• Splicing information inside funnels could be more intuitive
• User support for the cheaper tiers is hard to access
• Pricing transparency really needs to be improved

My company does not utilize Digital Analytix for our own service, we simply provide professional services for it. As such, I can't really answer this question in a meaningful way.

I haven't used the Amplitude support other than their training docs so I can't speak too much to the in-person support but the docs are serviceable. Nothing too crazy but between the user tips, email notifications, and the decent number of docs I was able to get the support I needed to ramp up on the tool.

Incentivized

I have proficiency with Google, Adobe and IBM (formerly Unica's) enterprise offerings. For companies primarily interested in basic reporting, managing a lot of users with very similar needs, and who don't necessarily have the in-house manpower or expertise to build a lot of reporting from scratch Google and Adobe's offerings can typically be safer choices. comScore and Unica offer a more advanced, analyst friendly tool that can be essential for targeted marketing and for a more flexible implementation and can still do all the things that their competitors can do - if you're satisfied with the learning curve for basic users, the advanced capabilities of comScore make this a very worthwhile tool for a digital business.

It's the best in class with all the bells and whistles. Other options could suit you just fine at a lower price point, but you need to be sure of what you are not getting and the switching cost associated with when you do need it.

Incentivized

• I have confidence that current and future content will be captured accurately.

• It collects data of great importance which allows to make product improvements.
• It easily identifies problems a user may have with the product.
• The flow of users who have used the product has improved, thus being able to generate more income thanks to the improvements and new functions.

Incentivized