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Google Analytics vs Google Tag Manager: What are the differences?
Developers describe Google Analytics as "Enterprise-class web analytics". Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. On the other hand, Google Tag Manager is detailed as "Quickly and easily update tags and code snippets on your website or mobile app". Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
Google Analytics belongs to "General Analytics" category of the tech stack, while Google Tag Manager can be primarily classified under "Analytics Integrator".
According to the StackShare community, Google Analytics has a broader approval, being mentioned in 15339 company stacks & 2444 developers stacks; compared to Google Tag Manager, which is listed in 431 company stacks and 73 developer stacks.
Pros of Google Analytics
- Free1.5K
- Easy setup926
- Data visualization886
- Real-time stats696
- Comprehensive feature set403
- Goals tracking180
- Powerful funnel conversion reporting153
- Customizable reports136
- Custom events try83
- Elastic api53
- Updated regulary13
- Interactive Documentation8
- Google play3
- Advanced ecommerce2
- Walkman music video playlist2
- Medium / Channel data split1
- Easy to integrate1
- Financial Management Challenges -2015h1
- Lifesaver1
- Industry Standard1
Pros of Google Tag Manager
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Cons of Google Analytics
- Confusing UX/UI7
- Super complex5
- Very hard to build out funnels3
- Poor web performance metrics2
- Time spent on page isn't accurate out of the box1
- Very easy to confuse the user of the analytics1
Cons of Google Tag Manager
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What is Google Analytics?
What is Google Tag Manager?
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What companies use Google Tag Manager?
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What tools integrate with Google Analytics?
What tools integrate with Google Tag Manager?
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Google is an amazing free tool and is extremely customizable. I use it for A/B testing (using google content experiment), Lean Analytics (measuring goals based on events), and it's new asynchronous JS has made a lot of tracking easier.
However it takes a lot more configuration to set up cohort studies and user based analytics than other analytics platforms. It is possible to do however: http://analytics.blogspot.ca/2013/03/get-useful-insights-easier-automate.html
If you need something free this is definitely your best option.
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I mainly use it to trace how many user using it before my site get monetized, at the age before smartphone and we only have web site, now I look at the profit rather than web page visited. As web page is not the single interface now. Android, iOS, Web. Wasting time to set up one by one. so I just simply look at revenue.
Google Analytics is a freemium web analytics service offered by Google that tracks and reports website traffic. Google Analytics not only lets you measure sales and conversions, but also gives you fresh insights into how visitors use your site, how they arrived on your site, and how you can keep them coming back.
Google Analytic is setup with user id tracking, allowing to view traffic for logged in users only, as well as custom events based on video watching and conversion goals for purchases. The Google’s autotrack plugin provides additional tracking of click events.
We installed Google Analytics. Can we haz data science now? We ares teh bestest analytics gurus evar!
Nothing easier than one line of JavaScript to let Google know anything and everything about your website in exchange for some pretty dashboards and reports.
We use Google Analytics to see in which countries we're having most success, and in which demographics. We offer users the possibility to opt out of Google Analytics by setting the Do Not Track feature in their browser, because we want to respect user privacy.
GTM is used to monitor marketing campaign effectiveness and measure other marketing-related data.