Adobe acquired Omniture in 2009 and re-branded the platform as SiteCatalyst. It is now part of Adobe Marketing Cloud along with other products such as social marketing, test and targeting, and tag management.
SiteCatalyst is one of the leading vendors in the web analytics category and is particularly strong in combining web analytics with other digital marketing capabilities like audience management and data management.
Adobe Analytics also includes predictive marketing capabilities that help…
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Cymbio
Score 5.0 out of 10
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Cymbio in Tel Aviv aims to accelerate digital sales for brands with their end-to-end drop ship and marketplace automation platform. Cymbio automates the full retail set-up for brands without changing any current systems or processes, streamlining product data, imagery, mapping, taxonomy, inventory syncing, orders, billing, tracking, and returns.
About two years ago, we transitioned our property from a three-star hotel to a four-star resort after a multi-million-dollar renovation. In the conversion, we wanted to start reaching out to a younger, affluent demographic that had the means to spend for vacation in a resort area. First and foremost, we want to see if vacations are being booked by desktop computers, laptops or mobile phones. With Adobe Analytics, we can see how a Guest books a room. What do they view? What rooms types do they like? Are they comparing rooms and if they give up searching, where are they else looking and are they coming back. It is a feature where how can we complete the sale? The new process we are also trying to keep Guests on the site is ending our relationship with OpenTable and doing all our resort restaurant reservations in-house. If the Guests were exclusively using OpenTable, we could not track where else on our resort site they are going? Finally, what marketing promotional rates are getting the most drive from
It is less expensive and more accurate than paying staff to update inventory numbers in Mirakl and then type the orders into an ERP. A product like this is needed. Ideally, Mirakl Connect would improve their product so that it mapped orders into one customer record, but until that time, this is the best option that I have found.
This product, Adobe Analytics, does a great job of helping us. I think it, it, it does an excellent job of outlining every step of the user journey, as well as giving a good, strong framework to work with as it relates to attribution, attribution of marketing data, and marketing channels, and how, where our users are coming from, how effective those marketing activities are.
Automated processes like uploading inventory numbers frequently
Cymbio is able to map the dropship orders to the company customer record in Shopify and does not create a new record for every customer (like Mirakl Connect does)
I like that the orders come through to Shopify without being marked as "Paid". I find this accounting easier to manually "pay" them in my system when I actually receive the payment from the vendor (this is another key difference between Cymbio and Mirakl Connect)
The tool is heavily a drag and drop kind of dashboard. You're building dashboards on the fly. So oftentimes, I learn my process and how to do things I'm comfortable with, that I can repeat, and get those answers on a consistent basis. But oftentimes, I may not find it easy to take it to the next level. So, areas that can improve are recommending or suggesting. Here's what you might try to improve in this report that you're looking at. Try adding in this metric, or try splicing it this way. Oftentimes, I feel like it requires me to go off and learn these techniques on the side, versus having them right there within the tool. Those recommendations, those helpful tips, and tricks.
Customer Service. It would be great if they had service hours that matched business hours in the USA, but even accounting for the time difference, the customer service is not quick or friendly.
They take away services. I am not sure if they hook you with extra services and then take them away over time or if it just happened to be that I started at a time they offered a lot more for the same price. When I started, they completely handled setting up a new retailer. Then they would set up the data, but I had to reformat all of images. Then they did nothing to set up a new retailer. Not only do you now have to set up in Mirakl all on your own, when you send them the file from Mirakl to map, you then have to go into Cymbio and upload the prices as well - a whole new extra step.
A more user-friendly customer interface. In my opinion, there is not much of a user interface at all. I think the interface for pricing uploads is terrible and cumbersome and they are not open to any feedback about that. It would be great if you could directly change a price, but even to change one price, you have to format an upload file. And that's all you can really do there. All other requests to add to assortments, etc are done though what looks like Google forms.
We need it to discover threats long before they become a loophole in the security ecosystem. Also, it is very much compliant with customer standards and expectations. It provides marketing intelligence through in-depth analysis. Overall, a very good product to gain customer attention and thereby improve market
It is necessary to have a minimum knowledge on tracking tools so you can use the tool on full performance. It is not an introduction tool, so please bear that in mind. Once you got the knowledge you just need a small training on how to create your custom reports, where to find the components you need and how to add them to your dashboard. Then you share your report or create a rule for periodic sharing and it's done. Finally, if you have a lot of data stored the tool might be a little slower but that's ok.
In my opinion, not easy to use. Based on my experience, they started with employees only directly using the system. Having an app to have customers log in and do tasks on their own seems like an afterthought that has not been well executed. However, once you have these things in place, you really don't have to mess with it very often. If you change your prices frequently, it might be more of an issue.
I do not ever recall a time when Adobe Analytics was unavailable to me to use in the 8 or so years I have been an end user of the product. My most-used day-to-day analytics tool Parse.ly however, generally has a multiple hours planned offline maintenance every two to four weeks, and sometimes has issues collecting realtime analytics that last anywhere between 15 minutes to an hour, and happen anywhere between 1 to 5 times a month.
Again, no issues here. Performance within the day updates hourly. other reports are updated overnight and available to access by the next morning. Pages load quickly, the site navigates easily and the UX is quite straightforward to get command over. On this front, I give Adobe kudos for building a great experience to work within
Support for Adobe Analytics is ok, it used to be worse years ago. Now, the technology team at Adobe is way more knowledgeable on the product itself as well as the implementation. They also study your custom implementation and have good knowledge of where your company stands. Dedicated support is something worth considering.
It was a one-day training several years ago that cost the organization several thousand dollars. There were only about 10 people in the training class. Adobe tried to cram so much information into that one-day class that none of our users felt like they really learned anything helpful from the experience. Follow-up training is too expensive
The online training for Adobe SiteCatalyst consists of short product videos. These are ok, but only go so far. For a while Adobe charged a fee for this, but recently made these available for free. There are many great blog posts that help users learn how to apply the product as well.
One of the benefits and obstacles to successfully using Adobe Analytics is a great / more accurate implementation, make sure your analytics group is intimate with the details of the implementation and that the requirements are driven by the business.
We evaluated and we currently use Mixpanel and we have Google Analytics on a couple of our properties. And honestly, once you get the hang of the Adobe Analytics workspace, the other products really don't stack up against it because the segmentation and the ability to create reports pretty rapidly are invaluable.
Mirakl Connect created a new customer record for every order. This was messy, difficult to figure out which customers went with which retailer and I was concerned about having my retail partner's customer data mixed in with my own. For me, this was a deal breaker which was such a bummer since this is a free product!
Adobe Analytics is relatively affordable compared to other tools, given it provides a range of flexible variables to use that I have not found in any other tools so far. It is worth investing in if your company is medium or large-sized and brings a steady flow of revenue. For small companies, it can be overpriced.
My organization uses Adobe Analytics across a multitude of brand portfolios. Each brand has multiple websites, mobile apps and some even have connected TV apps/channels on Roku and similar devices. Adobe can handle the multitude of properties that have simple, small(ish) websites and the larger brand properties that include web, mobile and connected TVs/OTT devices.
Each of those larger brands has multiple categories and channels to keep track of. We can see the data by channel/device or aggregate all the data together. This gives our executive teams the full picture and the departmental teams the view they need to see their own performance.
The professional services team is one of the best teams for complex adobe analytics implementations, especially for clients having multiple website and mobile applications. However, the cost of professional services is a bit high which makes few clients opt out of it, but for large scale implementations they are very helpful
I'd say business results. We tend to see better media and marketing engagement as a result of using Adobe Analytics, and that's largely because we can measure the effectiveness of campaigns and we can figure out which ones are driving better engagement, whether it's top of funnel or bottom of funnel. That's probably the biggest business result we see. It's obviously we even use it for other non-traditional use cases like AB testing to figure out which experience is a better or not, that type of thing.
