Ensighten Pulse is a customer data platform from Ensighten offering multi-channel data collection and the ability to create robust, "360-degree view" customer profiles.
N/A
Heap
Score 8.1 out of 10
Mid-Size Companies (51-1,000 employees)
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to track trends over time.
$0
per month
Pricing
Ensighten Pulse
Heap
Editions & Modules
No answers on this topic
Free
$0
Up to 10k sessions/month
Growth
Starting at $3,600 annually
Up to 300k sessions/year
Pro
Contact Heap Sales
Custom sessions per month and unlimited projects
Premier
Contact Heap Sales
Custom sessions per month
Offerings
Pricing Offerings
Ensighten Pulse
Heap
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Heap pricing is based on session volume. A session is a period of activity from a single user on your app or website. It can include many pageviews or events.
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
Scenarios when Heap was well suited: It is when a user claims that he encountered a bug without giving us the details of the error message. Scenarios where it is less appropriate: Its when we try to capture user interaction in our mobile app
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.
It's a great platform. I'm glad that one of our product managers introduced it because it has allowed us to create all kinds of new functionality. We're not only able to create a better product experience from our communications because of Heap, but we're also able to generate all kinds of helpful analysis.
On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.
I've never run into any issues with Heap's availability, Heap is always there when I need it. I haven't run into any issues like application errors or unplanned outages during my 2+ years of using Heap. Each and every time I log in to Heap I have a completely functional experience
Heap doesn't affect page load times considerably nor has a large impact [on] our overall score, as far as page loading times inside of the tool its pretty reliable to retrieve data as much as "instant" that it can be the delay seems to be on data getting tracked into the servers to be read but it's not significant.
Heap support has allowed us to troubleshoot and test a lot of different items. Their support team is always helpful and friendly, even when we come to them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and friendly.
The implementation was smooth and easy. The Heap team helped us with implementation and it went great! Within a few weeks, we were fully up and running and utilizing the platform to its full capability. This is an additional thing that has made this platform so great and we couldn't recommend it enough.
Heap offers a ton of functionality on a single platform.It also has an smart data science layer to offers suggestions for next steps in the analysis, allowing us to explore alternative paths we may not think to take. The low-code option for updating data is appealing, and there is a lot of automation with minimal engineering effort.
The most challenging part of using Heap in a growing organization is the naming and structure in which reports and dashboards are organized. I work within the marketing department and our Heap leader internally works within the IT/Product department, which makes it challenging because we often don't speak the same language, so the learning curve has been steep without any specific use-case examples to leverage online.
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.