Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.
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Parse.ly
Score 7.8 out of 10
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Parse.ly is a content optimization platform for online publishers. It provides in-depth analytics and helps maximize the performance of the digital content. It features a dashboard geared for editorial and business staff and an API that can be used by a product team to create personalized or contextual experiences on a website.
I think other tools are either too heavy or complicated to implement and / or understand. Full story has a super light weight feel to the system and works magically. I implemented Mixpanel once and the entire team struggled with it before replacing it with Full Story after …
Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your …
Microsoft Clarity is not on the list. This one is not even close though. 4 years ago there was not much competition unless you paid a fortune for the big survey companies. I see there are many more out there now, and may start looking now that the prices are not as affordable …
Most of the tools we evaluated just didn't have the depth of analysis that we needed. Content Square looked GREAT but it was a much higher price point.
HotJar is built for marketers, whereas FullStory is for product teams, but the tool still stacks up well against HotJar. It has feature parity and is a little more intuitive to use.
We don't use anything else that is close to what Fullstory does. If anything Intercom would be the closest however we use them together to offer the best support possible.
Parse.ly provides clearer insights into what stories are performing strongly in real time. Its interface is more user-friendly and it is easy to compare different time periods, titles or author statistics. Chartbeat had a website overlay to show where readers are going on site, …
Parse.ly excels in providing detailed insights into how users are interacting with specific pieces of content, allowing us to make data-driven decisions about content strategy and optimization. Its real-time reporting also provides us with immediate feedback on the …
Doesn't come with an integrated overlay like Chartbeat, but is more intuitive (just) than GA. Seems more accurate and detailed than Chartbeat but less than GA. It's my go-to for day-to-day traffic engagement but monthly I'm more likely to look at in-house GA-generated reports.
Firstly, I didn't make the business decision to use Parse.ly. I'm just an employee using it. However, the first thing you notice is the change in appearance. Parse.ly's dashboard looks far more complicated than Chartbeat's and the black, white, and green theme [are] not as …
Parse.ly has very rich products and market use in media for content analytics. [The] dashboard provides [a] holistic view on the overall site visitor's information and what needs improvements. [The] dashboard is divided based on sections, author, posts, pages, etc., on the site …
Adobe Analytics is our organization's "official" data source and provides a much more in-depth feature set and customizable reporting tool. It's much less user-friendly than Parse.ly but can provide more detailed reporting. Google Analytics is used by my organization as a …
I used Google Analytics for years. I loved it and still love it. Google Analytics isn't as robust as Parse.ly and doesn't have some of the same capabilities, nor do I trust the data as much. But Google Analytics is still really good, and it's free. If I were at a …
Parse.ly is far more user-friendly than Google Analytics, which feels like a developer's tool by comparison. Parse.ly feels like it is designed for ease of access and use. While analyzing trends is more difficult in Google Analytics, it is straightforward in Parse.ly. Google …
I use then in tandem; where Parse.ly lacks, I go over to Google Analytics and vice versa. Sometimes I need to look deeper at referral sources and that is where Parse.ly isn't as strong, especially if I am looking at a bigger set of content.
Parse.ly works better than Google Analytics. This is mainly due to its simplicity whereas Google Analytics can quickly become quite complicated with a lot of moving parts. Parse.ly, on the other hand, is quick to learn and understand while also providing a lot of information.
Parse.ly is easier to use and more self-explanatory than Google Analytics. The site essentially explains itself upon visiting it. Chartbeat was quite good but I believe Parse.ly provides more granular details on web traffic and gives the user more insights into how and why …
Parse.ly is easier to track and to understand for me than the features that Google Analytics offers. Nonetheless, graphics seems to be more complex in Google's environment, which [I feel] can be a weakness for Parse.ly in the case of Data Analysts. Although, both are used in …
It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
For people working in online media, or digital content creators, the platform could help them understand their audience and allow them to interact with them in a user-friendly way. Since the digital media industry is booming, Parse.ly can allow the user and the content creators to meet each other's demands and reduce redundancies and bombard the users with unnecessary content.
Real-time metrics are great and help us decide what content to follow up on.
Audience segmenting is key, helps us determine where we're strong and where we're not.
Historical metrics are also helpful in helping us see what readers come back to overtime, which drives decisions about what content to devote more resources to producing.
Can be a little confusing to know the exact time something happened, in local time or customer time? That's helpful for engineering to look into log files.
When looking for a specific session, it would be nice if you have a easier list of sessions with a little more info to choose from
It would be nice to be able to save flagged sessions and annotations under my profile to reference later
The metrics are hard to understand at times and inaccurate to the point of being unusable. I stopped pulling them and solely rely on Adobe Analytics for them. So far, I've only used FS to watch sessions and determine behaviors
Cost is always a factor when considering any renewal, so we will always see how that compares to other offerings, but we have been pleased with the functionality from Parse.ly. Importantly, it has engaged news teams, and writers can easily assess their own performance--it is not just a management tool. This wider take-up makes it more likely that we would renew.
The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.
Yes, that is correct. FullStory has a dedicated support team that is available to assist with any issues or questions. The team is known for being responsive, knowledgeable, and helpful, and they are committed to ensuring that users get the most out of the FullStory platform. They helped us a lot to implement it with our web app
Seems to be more bugs than I encounter in Google Analytics, but Parse.ly is always very quick to answer my questions or fix something. It seems like most of my issues are due to communications around my requests being outside of the package we pay for with this tool (i.e., only two years of data).
I was not involved in the initial implementation, but I have found it easy to pick up and use without any guidance, so it's very user-friendly, intuitive, and not difficult to get a sense of use, though it may be more difficult to master (I am not a Fullstory master... yet!).
Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your site. It is one thing to see a report that says customers fall off a page, it is another thing to actually be able to watch what they do as they fall off.
Parse.ly excels in providing detailed insights into how users are interacting with specific pieces of content, allowing us to make data-driven decisions about content strategy and optimization. Its real-time reporting also provides us with immediate feedback on the effectiveness of content changes, which is particularly important for content-heavy sites that need to iterate quickly.
We reduced our payment error rate by 20% using FullStory.
Our product design team is able to get initial designs approved 95% of the time using FullStory data in order to explain to our stakeholders the reasoning behind decisions. We also do a before-and-after analysis, and we either net out the same with the new designs (just improved visuals) or improve the metric of whatever was designed. More often than not, we improve the metric.
We decreased the time to A/B testing insights by 50%.
We can usually visualize a production issue via FullStory within 10 minutes.
Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.