Contentsquare vs. Datadog vs. Google Analytics

ContentSquare [(Clicktale)] is best suited to deep dive understanding of how web users truly consume your web pages. For example, when a traditional analytics software informs you on exit rates, ContentSquare [(Clicktale)] helps you to understand if users left without interacting with their last page or if they in fact spent time reading, scrolling, clicking it.

Incentivized

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

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.

• Heat Maps - we used and liked CrazyEgg in the past, and it was a cheaper tool that was easy to use. ClickTale gives us additional capabilities with better data about scroll reach, mouse movements, clicks and a summary report that shows what parts of our pages are getting attention. A product manager asked us yesterday for insights on how his product page was performing, and we were easily able to send him the reports in the heat map section.
• Visitor recordings - We get good data on our website using analytics tools like GA, HubSpot and ClickTale, but it is very helpful to watch actual visitor recordings for certain visitor segments. If we add a new page or new feature to our website and notice a trend, we can easily drill down and watch visitors and see how they are interacting with the page.
• Conversion funnels - We do a lot of our analysis in Google Analytics and you can set up conversion funnels in GA if you know how to do it. The problem is you can't segment the data and the aggregated data is not as helpful. ClickTale makes it very simple to do conversion funnels, and you can segment them with just a few clicks.

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Multiple reports to see website use and behavior
• Allows you to customize reports with days, weeks, months, and years
• You can build out a dashboard to easily view stats from multiple websites in one place
• You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats

Incentivized

• It's a bit difficult to navigate form heatmaps of one page on my sites to those of another.
• It would be useful to have data on what percentage of clicks for each link are bounces. If this is available already, it is not very easy to find.
• I have slight doubts about the accuracy of ClickTale's data based on some industry related articles I've read (i.e. http://redant.com.au/tool-reviews/clicktale-review-technology/). For the most part I feel like the data I'm getting is accurate, because it roughly corresponds to what I'm able to see on Google Analytics. It would be nice to see ClickTale address some of these issues.

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
• Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
• Gotchas around filtering and data validation.
• Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.

Incentivized

At my former company I was able to upgrade our initial subscription level from bronze to gold without any problems after the first year. Unfortunately, the company I am presently with doesn't have a Clicktale subscription. I would have absolutely no hesitation in strongly recommending Clicktale to my current company if I ever get even a remote chance to do so. Clicktale is used in some of the statistics I use on my resume in an effort to quantify my results as a certified usability analyst. Clicktale has made a significant difference in my value to any team I work with.

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

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.

Incentivized

I had some issues interacting with viewing recordings of a specific page by many users but my impression was that this was going to be fixed.

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

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

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 support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

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.

Incentivized

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.

1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

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.

ClickTale is now a step ahead of the competition since it delivers insights based on pre-defined business KPIs and customer journeys that we have set up. We can also segment our traffic and easily sift through the many recordings finding the ones that match our lookup criteria. This paired with a good and reliable PII masking helps us with insight collection and drive business decisions which other solutions don't have. The new non-Flash interface is clean and simple to use and has all the functionalities centralized.

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

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.

Incentivized

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

• Rarely was actionable insight taken from the ClickTale tool that resulted in a better user experience on our website. We made small changes on different aspects of our webpages that typically did not show an improvement over the previous versions.
• The dedicated time and resources in the ClickTale tool did not justify the investment. The heat maps can be helpful but they are based on mouse clicks (Google Analytics can help with that). Watching recordings can get time consuming and don't always provide enough data for an actionable takeaway.
• If you take the approach of identifying a potential problem on your website first, then using the ClickTale tool to dig deeper in the issue, you might find the tool helpful. However, make sure you gather enough data on the potential issue before making changes to your site (and monitor the changes afterward).

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• It has helped us gain understanding of what is going on on our website.
• It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
• It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
• It has helped guide our website redesign.

Incentivized