Amplitude Analytics vs. Ensighten Pulse

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

Ensighten Pulse is particularly well suited to the type of work Ovative/group does in the marketing attribution space, but is also very well suited to drive the data collection efforts for personalization on-site as well. Pulse is also extremely well suited in scenarios where a client may want to track individuals across many domains or touchpoints

• 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

• Pulse is the ultimate tracking tool. Almost anything you want to do with it is enabled and capable.
• Pricing for Pulse was very aggressive as an early buyer.
• The support team for Pulse is always very quick to respond and adapt their product roadmap to meet customer feedback.

• 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

• Documentation - While Ensighten Pulse itself and the implementation process of the core components are documented rather well, the peripheral implementation steps, i.e. how to use this with a specific marketing platform, are not well documented. That said, the Ensighten support channels have been hugely beneficial in making these steps happen.

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

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

• 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

• We identified over 20M impressions that should have been re-allocated due to frequency caps and have utilized our modeling to push more adaptive frequency caps by marketing message through our ad network.
• We will pilot a program where we block 'saturated' users and those exhibiting 'bot-like' behavior through our ad networks to further improve our advertising effectiveness.
• We do have a resource cost in maintaining a separate server and a systems developer to maintain our environment. Where I'd prefer to pay for a full SaaS application and utilize that resource in another area.