Founded in Switzerland in 1997, Magnolia is a CMS used to build composable digital experiences. Magnolia helps create fully integrated customer experiences and speeds up digital delivery of content. Magnolia boasts 480 enterprise customers, thousands of Community Edition deployments, and more than 200 certified Magnolia Partners around the world. They further state that their enterprise customers include Sanofi, Generali, the Atlassian, The New York Times, Harley Davidson, and Union…
$3,500
per month
PageLever (discontinued)
Score7 out of 10
N/A
PageLever was an analytics platform for measuring brand presence on Facebook. The company was acquired by Unified Social (now "Unified") in January 2013, and the product is no longer offered separately from the Unified platform.
Magnolia is a very capable DXP, that provides client with lots of flexibility in composing its own stack. While the core of the platform is a content management system, the open architecture of Magnolia DXP allows it to connect to any platform, allowing client to extend the capabilities. One scenario would be a centralized content hub - where through a single platform, content authors can choose which channel to distribute what content. For example, long form content for consumers viewing on a laptop, short form content for those using a mobile browser. This allow the client to personalized the experience based on channels. Another scenarios would be leveraging on GenAI - using Magnolia's built-in connector to ChatGPT. If that is not the service that one desire, you can always connect to another AI service such as Google Gemini. With GenAI, connected, content author can use AI as co-pilot to help them scale up their content production.
Pagelever has an amazing team that helps clients get what they need. They understand the needs and are there to help you get the benefits you need from your competitors. In comparison with some other vendors we have worked with, they adopted a true partnership approach. They are very good at listening to what we wish to achieve and then helping us tweak the product to meet our goals. We were initially on the Professional plan and even before we eventually upgraded to the more fully-featured Agency plan, they were very willing to work with us to make sure the product did what we needed it to do. Moving to the Agency plan was great since it gave us additional agency features that were very important such as giving our clients automatic acces to their data and allowing us to set up custom KPIs and custom reports.
Speed of development - time to delivery from zero to MVP was excellent
Ease of use - the authoring experience is very easy to build and train
PAAS/SAAS - the managed service platform removed the traditional overhead of running in-house technologies, meaning we could focus on value add, with less time spent keeping the lights on.
It has amazing in depth of data about Facebook Pages. For example, it shows us how exactly content is being consumed over time. We can easily see segmented data showing what content is being consumed by which demographic groups. It's also very easy to incorporate all this data into a a usable report which can be share with our clients.
Analysis with competitive streams: We can compare metrics across client accounts to quickly spot anomalies or see if, for example, low click-through rate is specific to one client, or is common across our account base and possibly due to external factors.
Very easy to use - great usability. The product is quite flexible and we can easily configure custom reports with dashboards and KPIs that are specific to our client's use cases.
Client access: Clients can log-in to the system to see customized reports that we configure specifically for them. This is a huge advantage.
The ability to track changes in metrics over different time periods is also extremely helpful. This is often a key metric for our clients and it is very simple to pul this data from the system.
The documentation provides samples that are often out of context, and difficult to know where the provided example code should be implemented. More tutorials providing the full project or step-by-step instructions on how to implement subject material would help greatly. Baeldung is a resource I would consider the gold standard in how this is done in other spaces.
The use of JCR and Nodes makes object serialization/deserialization painful. Jackson compatibility or similar would be a welcome enhancement to the developer experience. Maybe leveraging code-gen from light modules to build model classes when possible could help accomplish this.
Modifying the home layout from light modules is frustrating. It seems that any configuration overrides made merge with the default rather than overwriting, which makes for a difficult combination of guess-and-check while referencing the documentation to see what should be in each row/column when making changes.
Including "mark all as read" or "delete all" in the notifications app would be a great quality of life improvement. It seems that by default, users have to individually select messages and operate them.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
PageLever is a fantastic product for agencies. The ability to customize and easily share metrics with our clients is key. Many other tools are great for corporate use, but PageLever is a particularly effective tool for agencies working with multiple clients.
We've shown it to a number of users both clients and our own team and despite initial apprehensions, they "get it" very quickly. It's intuitive and friendly and quick to perform daily tasks. We once had a client tell us "Using Magnolia makes me smile" which says it all for us.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
I gave [it] 7/10 only because of the loading time of pages. Otherwise, I think it deserves an 8. Normally this is not an issue per [se] but considering the rating matrix and as I have been asked to honestly write about it. Yes, the page loading times could be improved.
You always get an answer based on your SLA. But you always get a solution. That's the successfactor in this case. To often i was frustrated about people in a company without even a clue what there product is about or how to solve a problem. Magnolia's Support Team does a very good job and try to help you in most of the cases
I've used several CMSs like AEM and EpiServer, and comparatively, they all excel at different things. Magnolia is the best to develop for/against. Episerver has the best/most fluid UI in terms of content editing, and the overall admin experience AEM is just all around sucks.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Magnolia has brought about positive impacts. For instance, we need not outsource web design and marketing services because thanks to this software, we can handle most work inhouse
The software is affordable with no compromises on capabilities and therefore it is gives us value for money.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Great data that can help a lot in decision making. For example, as the system provides very granular, real-time data we can easily see if certain posts / conntent is resonating with the target deomgraphic group or not. If we are trying to appeal to males between the ages of 35 and 45, it's quite simple to see if our messaging is effective in reaching this group. We can do A/B testing and test different things until we find the content that resonates most strongly with this demographic group.