Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include:
N/A
Google Analytics
Score 8.3 out of 10
N/A
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.
First thing is the ease of using the platform. Although there are courses on how to use the platform, even a person who has never taken the course could do some basic things on the platform, such as identifying a customer and checking their entire history with the company. With …
Bloomreach, has an easier interface to use. very self explanatory and easy to understand. The tools themselves are easy to use with little to no training. Other platforms do not have this ease of use or provide the same standard in customer support that we have noticed from …
When it comes to these platforms, sometimes it would be super useful to have much more control over them. For example, with BigCommerce integration, we wanted to disable the cart_update event from that integration, and we came up with supper difficult and not common for …
Bloomreach stacks very well against these platforms especially as the platform includes a good range of services - email scenarios and building, website experiments, and conditional funneling - which interconnect well. This makes the platform 360 very suited for modern, agile …
I found it beneficial because it is ideal to assist us to reach our business goals, and it's simple to construct highly focused, trigger-based automation with this. Bloomreach Experience platform's segmentation and analytics capabilities are extremely powerful. Ease of Tracking …
Way better control over how data are tracked, stored and used. We have never met any limitations regarding our campaign creativity vs Bloomreach capabilities.
I have described the benefits in section about positive impressions / features. There's nothing to add - they are the reason why we use with Bloomreach Engagement and don't consider a change.
Bloomreach has great support. So when you feel a bit lost or stuck on a problem, there is always somebody to help you out with your problem. Not just in a chat, but also on zoom call where you can explain or show your problem. Also they always check if the problem is solved the other day and if everything is working as I need.
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.
All in one. We have experience working with other CDP/Marketing suites and it is really difficult to connect their different modules. Bloomreach Engagement has been built to be a single product which makes everything easy to use
Fast and real-time. Other platforms struggle with getting real-time volumes or segmenting based on real-time events, that is not the case with Bloomreach Engagement
GCP partnership. Being deployed over GCP and having BigQuery as raw data export makes really easy to expand and connect with existing stacks
While Importing the offline data, sometimes the auto detection is failed to detect the csv file
While we import with wrong mapping, even after pressing escape before the import starts, its not cancelling the import. it start running. It would be great if it stops the import
it would be great if we receive email for successfully finished imports too
So far, Hippo is our ideal tool given its use of open standards which helps us to have a clear overview of what's coming next in the future Hippo releases. We are very confident in the future-readiness of the product
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.
In my time working with Bloomreach Commerce Experience Cloud, I always liked to work with it. It is crucial that you get support from experts from the beginning to show you how to work with the vast amount of options and activities to choose from. The learning curve is also well-rounded because of its user-friendly interface and highly skilled customer support.
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
99% of the time the site is available for when we need to use. With any cloud based software there will be occasion that there is an outage but this is communicated effectively and dealt with quickly. This has never got in the way of what we need to do in our day to day work and wouldn't be thought of as a problem
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.
The search API is very fast (150ms), even considering we have nearly 2 million products in our catalog. The console pages where you do your configuration, add ranking rules and synonyms are sometimes a bit slower to load, but your customer would not notice any of that. The reports pages are also not the fastest, but definitely okay
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
When I get through to support they are absolutely amazing but I think sometimes the wait can be too long. From experience I also know HubSpot and Dotdigital allow for live calls or call-backs which gives you that extra layer of support and satisfaction. That alone would have taken this score to a 9.
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.
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.
Bloomreach is a really easy to use platform compared to other CRM systems and allow faster integration to the other data sources. It allowed deduping services and the ammonization feature for data protection is really easy to set up which fields contain personal information and therefore remove the data when a customer request it.
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.
there is an option of multiple projects per organisation, customers and assets can be copied across. Multiple sites can be managed in one project, different activities organized under initiatives. Splitting work into sensible units is therefore well possible. The billing is based on number of tracked and number of stored events, no package-based deals. It should therefore be well scalable from a small e-store to a large corporation.
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
