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
StackAdapt
Score7.2 out of 10
N/A
StackAdapt, headquartered in Toronto offers their native advertising specialized DSP, supporting programmatic advertising with audience discovery, B2B targeting, and engagement analytics among other features.
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.
StackAdapt's programmatic buys are great for a quick awareness campaign to reach the most eyeballs. Solid user segmentation from 3rd party sources that is available almost immediately. The platform is less proficient at converting users, though I've never had sufficient volume to test if this works better for enterprise-level clients with more conversion data
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
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.
Audience targeting - there are so many options for both B2C and B2B audiences, from browsing behavior audiences to account-based marketing audiences to CRM lists. There's a way to find your ideal audience no matter their industry.
Pixel setup and management are pretty easy. It uses a universal pixel that you can easily place on your site. We use Google Tag Manager for this. Then, you can create any number of conversion events and easily implement them, also with Google Tag Manager, so we can trust we're getting good tracking.
It seems many display ad platforms lack optimization tools, but StackAdapt makes it easy to adjust, add, or remove audiences, pause certain website categories, exclude batches of websites, pause individual ads, and really fine-tune the targeting as you see what works and what doesn't.
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
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
There has been occasional slopping maintenance of the campaigns, and we have to follow up with questions about spending spikes or significant changes in delivery CPMs.
Account rep knowledge can sometimes be lacking. When we question our reps about performance, we sometimes get confusing or nonsensical answers.
The reporting UI is definitely clunky and unintuitive.
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
The platform is easy to use and understand whether it is being used as self-serve or a managed service. The audience targeting is solid, and array of placements is versatile. With these, the level of engagement for video content is usually great
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
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
It is very user friendly and if any team members need further help, we are able to easily access their customer service team for hands on assistance with an actual human being, not a robot. Their team has been incredibly kind, understanding and thorough. It is really a great all in one tool for a business who relies greatly on advertising campaigns.
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
Support has been exceptional. Our dedicated team is always available and ready to answer any questions that may arise. We receive updates from them on a regular basis and they go above and beyond providing assistance when needed. The team is absolutely one of the bright spots in our relationship with StackAdapt
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
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
StackAdapt is significantly less expensive than The Trade Desk. StackAdapt doesn't have campaign minimums, unlike The Trade Desk, meaning you can experiment with a lower ad spend to gain client confidence before investing at a larger level. Plus they don't lock you into an annual contract or anything long term. It feels very similar to The Trade Desk but without the high contract.
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
Excellent traffic from our ads. Traffic exceeded our forecast.
Excellent management of our budget. We did not spend near as much as we budgeted for the response we received through our test.
The lead conversion was not expected to be high due to the type of content we deployed, but we received zero conversions, well below anticipated when compared to other ads for the same content.
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
