Every week, we’re bringing you the latest news, trends and product launches taking place in the analytics industry.
Google Analytics finally fixed AMP pages measurement
AMP – Accelerated Mobile Pages – is becoming increasingly popular among site owners as a solution for speeding up mobile pages. However, despite the rapid adoption, the development of accurate measurement tools for the AMP sites has lagged behind. Until now.
Previously, if somebody was browsing an AMP page and a non-AMP page of a website, they were being counted as two separate people in Google Analytics. In May, Google addressed this issue and fixed it, but visitors to AMP Cache pages would still be counted separately in Analytics.
This week, Google finally announced a fix for AMP pages, served via Google AMP Cache, including from Google search results, according to searchengineland.
From now on, Google Analytics, combined with Google’s new AMP Client ID API, allows pages that are partially served on Google platforms, such as search, and partially on site owner domains, to communicate with each other.
The AMP Project is an open-source initiative aiming to make the web better for all. The project enables the creation of websites and ads that are consistently fast, beautiful and high-performing across devices and distribution platforms.
Read the full Google post here
“With users getting more and more impatient with slow mobile pages, developers are increasingly investing in a faster web experience with solutions like Accelerated Mobile Pages (AMP). Billions of AMP pages have been published by all kinds of mobile sites – from news to recipes to e-commerce. With so much AMP content being published every week, Google Analytics continues to evolve to support those of our customers who have adopted AMP.
We are excited to be the first supporting vendor to announce a new service, Google’s AMP Client ID API, that will enable the same benefits for AMP pages displayed via Google surfaces. In May of this year, we launched a solution to help you better understand your customers’ journeys across AMP and non-AMP experiences that were hosted on your own domain. Google’s AMP Client ID API will enable the same benefits for AMP pages displayed by Google such as in Google Search.
How will this work?
This solution works by allowing your web pages, which may be partially served on Google platforms and partially on your domain, to communicate with each other. This communication happens via a newly introduced Google API and with Google Analytics such that it can understand if a user on your non-AMP pages had ever visited an AMP page displayed by Google. When true, Google Analytics can help you understand user behavior, across these two types of pages, as a single cohesive experience.
To get started you’ll have to opt-in to this solution via a code change. The small code change is required on both your AMP and non-AMP websites to enable this as well as an acknowledgment of the new Google Analytics terms for usage of this API.
When will this happen?
The ability to opt-in to this solution is available today and you can find code instructions and new terms here. Please review the documentation and opt-in when you are ready.”
Retailers are quickly adopting predictive analytics and machine learning to improve their supply chain
When you’re running a competitive business, efficiency and optimization are everything. If we look at the retail industry, these requirements are exponentially multiplied, especially in the supply chain. We talk about things such as packaging, shipping, inventory, distribution, which are time and resource intensive processes that can have a dramatic impact on a business. For small businesses, the processes can be handled without too much trouble, if you have a strong practice in place.
However, as Forbes notes, things get a bit more complicated as the business grows. Complex processes, especially when it comes to large-scale operations, way too often depend on outside forces, beyond our control, such as provides, suppliers or even the weather.
This is one of the reasons why retailers, in all forms and sizes, are starting to realize the importance of analytics and are quickly adopting big data-driven analytics technology. This, in turn, creates efficiency in systems which involve multiple processes that can be managed by computers and by having the right information and data. Basically, retailers are starting to count on the ability of robots to take over tasks, in order to make lots of little saving, which, in the big picture, add up together to very large ones.
Today’s world is all about connectivity. There is so much data being delivered by everyday operations that ones’ capability to manage and get something out of that data is quickly becoming a competitive advantage in itself. This means that companies can use advanced analytics tools to get the best of their data, get to the bottom of how every piece of the puzzle in their business is operating and make changes in the right places to improve their efficiency.
Google Analytics announced improved transparency among Account users
In order to foster collaboration among users, Google Analytics is going to add the ability for each user to see all of the other users who also have permissions for a particular level of the account hierarchy, and for each higher level in the hierarchy, according to a new post on Google’s Analytics help center.
For example, if you have permissions for an Analytics view, then you can see all other users who have permissions for that view, and for the parent property and account.
Administrators and users have options to control account membership and permissions, and consequently, determine which users are visible to one another:
- Suite Admins can remove users from linked Analytics accounts.
- Analytics users who have the Manage Users permission can remove users, as well as reassign users to different areas of the Analytics account hierarchy (e.g., a different view) when there’s a need to move users to separate spaces.
- All Analytics users can remove themselves from Analytics accounts.
Learn more about user management in Google Analytics.