Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Parse.ly
Score 8.9 out of 10
N/A
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.
Certicom maybe is more accepted for some agencies but the reporting and monitoring tools are way more limited. The code client is not that straightforward.
Having used both Parse.ly and Chartbeat I personally just think Parse.ly is a better product. The UI is better and the features are more optimal and well thought out, again fitting publisher needs very well. In addition, whilst Chartbeat is certainly an improvement on GA in …
We tried Google Analytics and Google Data Studio before, and it was so complicated to set up we needed to hire experts to do it. Even then the performance was slow and the tools unintuitive to use. Many people have a blog they want to measure, we're not reinventing the wheel …
I find Parse.ly much easier and intuitive to use, everything I need is served to me within a few clicks and the time it takes me to train someone on the system is much less than Google Analytics. I find the alerts I get when content is starting to spike very usefully too.
Google Analytics is a solid tool - however not all data is real-time, site performance is sometimes lacking and adding custom dimensions or parameters is challenging without bringing in development resources. Parse.ly's interface is far cleaner and focused compared to GA. …
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 …
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 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.
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 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 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 …
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 …
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.
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Chose Parse.ly
Parse.ly is way better because of how much more user-friendly and intuitive it is.
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 …
Accuracy, reporting formats and the ability to benchmark, plus social media referrals built in as part of the dashboard. Also the information tags so that there is a consistent way to explain the reports to external recipients. Parse.ly's value for money and reliability is …
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
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 audience measurement--Parse.ly helps us understand how many people are on our site now and how this compares to our usual performance. By ensuring we improve on standard performance, we can grow our numbers.
Reports--setting up automated reports that can be sent to team members enables us to inform them at a glance what stories have performed well. This keeps them engaged and encourages them to post content more likely to perform well.
Analysis of performances--everyone can access their statistics, encouraging them to improve their reach and dwell time of their stories and better understand what has done well.
Overview across time--it is easy to compare how you have performed over set periods (e.g., month-on-month or week-on-week), making it easy to set targets for growth.
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
As an employee, this is difficult for me to comment as I am not directly funding or making these business decisions. However, it is a tool many get on with for surface level data that is useful to editorial teams.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
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.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
I rate this question this way solely because I haven't requested any support. I feel where I will eventually get support would be when we take Parse.ly up on some training that is being offered. We are looking to do that at some point after the first of the year and when our schedules support it.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
We tried Google Analytics and Google Data Studio before, and it was so complicated to set up we needed to hire experts to do it. Even then the performance was slow and the tools unintuitive to use. Many people have a blog they want to measure, we're not reinventing the wheel here, and Parse.ly is designed to deliver an excellent experience doing just that.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
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.