Ensighten Manage is a popular tag management system used globally, promising to increase page loading speed, accelerate tag deployment, and facilitate omnichannel 1:1 customer engagement across platforms and devices. Ensighten provides tag control by visitor, session, and page, and harmonizes data collection.
The company’s Tag Delivery Network serves billions of tags annually for familiar brands like Sony, Staples, Symantec, T-Mobile, and United Airlines.
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Google Analytics
Score 8.2 out of 10
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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
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Twilio Segment
Score 8.3 out of 10
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Segment is a customer data platform that helps engineering teams at companies like Tradesy, TIME, Inc., Gap, Lending Tree, PayPal, and Fender, etc., achieve time and cost savings on their data infrastructure, which was acquired by Twilio November 2020. The vendor says they also enable Product, BI, and Marketing teams to access 200+ tools (Mixpanel, Salesforce, Marketo, Redshift, etc.) to better understand and optimize customer preferences for growth— all integrations are pre-built and…
Ensighten Manage has more tagging functionality, facilitating multiple tagging technologies, while Google Tag Manager (GTM) supports only Google Analytics. It has better security configuration, with custom role definitions that can define more detailed access characteristics. …
We did not compare to any other companies, Ensighten was bought without any due diligence being completed, which I raised as an issue when we first got Ensighten but it was too late at this point.
We chose (and have stayed) with Ensighten over their competitors because they are tag agnostic and offer great support every step of the way. While other tag managers may have strengths over Ensighten in a particular feature or tag type, Manage is a great overall solution that …
I have no means for comparison except to say that Manage 2.0 has many improvements from Manage 1.0. The UI improvements alone make it a good switch, and the ability to use the apps to templatize deployments is a great feature.
Segment is not really suitable for most websites that have more than 10k MTU - If you run a semi-popular website, there are many tools out there that will do basic web analytics, like Google Analytics. Google Analytics provides simple resources for tracking user growth, …
Mixpanel and Amplitude offer strong data analytics and Google Analytics is powerful for web data, but their integration capabilities are less extensive compared to Twilio Segment. It's easy-to-use api and data collection and cleaning capabilities Twilio Segment operates as a …
Segment is considerably cheaper but doesn't have the GUI for non-SQL users. GA Premium doesn't have all the data connectors, and can be more difficult to configure on SPAs.
We tried to set up our entire data analytics process through these tools but there were some parts of the data capture, set-up, analytics that was missing with these tools. None of them could provide the ease of setting up with a complete picture of the data and analytics like …
It's much more personalized and user-focused data available in real-time, and immediately exported to an external database. It's provided more control over how the information is used and displayed for actionable insights.
The competitors above either charge a lot if you want to warehouse your data, don't allow data warehousing, or make it very difficult to warehouse your data (requiring you to write custom scripts and run them on schedulers). Segment makes it easy to warehouse your application's …
See my previous response. Google Tag Manager is great if you are firmly in the Google ecosphere. But they don't have as many integrations as Segment.io
Ensighten manage can be setup to be used by non technical business users. However the product provides a lot of flexibility by the way of custom custom Javascript and HTML tags, and advanced features like events, which needs coding experience as well as understanding of web technologies. Ensighten mobile is also a promising tool, but so far we have not had any luck setting it up, mainly due to challenges with Android setup
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.
Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application
Multi-platform. Segment has easy integrations in many different web, backend, and app platforms/frameworks. We use the Segment SDK in Android and iOS as well as our node.js backend.
Segment is fairly affordable for early-stage companies that are trying out different analytics software. The "developer" plan is free and is suitable for most companies with products that have a small user base.
The UI is great! It is extremely intuitive and easy-to-learn, and this made it take very little time to integrate this software into our analytics and marketing workflows.
While the code templates that are already existent provide an easy interface to leverage existing code sets, custom codes still need to be written a lot of times since the templatized versions apply them to a global scope only and not for individual URLs or regex's for specific use cases for pixel vendors. Also, the library needs to be updated more frequently with new pixel vendors injecting their own variations of codes
Professional services (both the shared and dedicated model) definitely needs a lot of improvement since this is something that we have been immensely challenged with as a client of Ensighten in general. General response times and availability of support hours both from an account management standpoint and professional services/support standpoint have been quite challenging in the past year or two and there has been no real progress on this front
Ensighten Manage uses its own best practices to modify certain code sets from say JavaScript to Jquery for instance as it may be more compatible within its platform. This needs to change so that the tool is more nimble, agile and flexible in accepting and executing on different vendor codes
More and richer sources. For example, MailChimp is a source but the data you get from MailChimp is quite limited. I ended up writing my own scripts to take better advantage of MailChimp's API because Segment's integration was lacking.
Better examples on how to set up event tracking. Pageview tracking is easy enough, but it would be nice if they had a sample app and corresponding code for it and showed you, via Git commits, how to add various kinds of events.
For the volume of tracking pixels that we plan to implement it only makes sense for us to continue. At this point, development is benefiting significantly from not being bogged down with writing tracking pixel code and the marketing team(s) enjoy being able to stay connected to their tool deployments. As the portfolio of tracking methods increases, the usage of Ensighten will increase with it.
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.
The GUI looks professional and is overall very usable. Menu and buttons are laid out well and easy to view. Wizard-like tag configuration is pleasant. Color scheme is pleasant to view, lacking fatiguing colors. Page load progress indicator is reassuring. Filters on past-visited screens are remembered, very handy. Filter options are flexible.
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 Ensighten Manage support team has been helpful and dedicated to assisting us solve problems that come up with tag deployments even when the issues are completely unrelated to the core Manage product itself. They seem to have the right mix of tag-specific subject matter experts and general support resources.
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.
Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.
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.
Ensighten is a great tool, and as good as any in the industry with strong workflow capabilities, an admin API and a friendly interface. It does have some limitations and is not entirely "marketer friendly" as they claim. Also, note we've experienced some performance/load time issues with the Ensighten data layer, which we are addressing with them.
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.
We've used Ensighten Tag Management since 2013 - before this, we used Adobe's out of the box dynamic tagging solution. Since Ensighten is a purpose-built tool, it provides a great deal more flexibility than that of Adobe. Rule-drived spaces and conditions were not available in Adobe's tag container. Ensighten's visual tagger is unique in its ability to place MBOXes on the page for A/B testing. Finally, mobile tagging is simply not possible without going through the release process, which Ensighten has freed us from
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 chose Twilio Segment for the good API integration and node resources, I would use Ontraport again, particularly if I didn't have the requirements for API and development/platform integration. Certainly the set up and management is easy and seamless with both the API and the user interface to use depending on circumstances and requirements.
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
Increased complexity when debugging so bug are taking longer to fix when they are related to Ensighten
Our sites are loading about 10 seconds faster and have opened our eyes as to how much javascript we are rendering onto our sites which is no longer needed.
Segment has enabled us to get a full view of our front end activity, join it to our back-end activity, and get full visibility into our funnels and user activity.
Segment lets us send events to ad tools with a full audit trail so all the numbers line up.
Segment also brings data from other sources into our data warehouse, saving our data engineering time from building commodity connectors.