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.
Maybe for a small company with small products for their thing, Adobe may be bit of an implementation too much for them, but when it comes to companies like us, like a life sciences or large enterprises and even small enterprises, but with more products, more analysis that they need to make their marketing experience better, maybe Adobe product is the best suitable.
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.
It summarizes large complex data better than any other analytics solution I've dealt with without the need for sampling, gives the right level of detail, does the right level of breakdowns, aggregation. I consistently not only use Adobe Analytics, but I use other data sets and compare against Adobe Analytics. And as I go into Adobe Analytics and compare, as long as I've done the query right and the other systems, they're very, very close. And if anything, with a lot of Adobe's newer products, they've gotten more accurate over time. So that's basically, you asked me what I liked about it. I like that it's accurate. I like that I don't have to do a lot of explaining. There's enough explaining in the world of web analytics to have to go back and explain why data's problematic. And so like I said, provided that the implementation is correct, it's a very easy conversation. Even if people may not like the answer.
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)
Support. I mentioned this earlier and we don't know what we don't know. Researching the massive amounts of documentation isn't realistic with bandwidth constraints, and our rep getting frustrated with us when we go through what we are seeing is disappointing.
Education. More please, and designed more towards the "business side". I get with the many many many different implementations (every company is different!), that it's tough, but even a basic of the basics would be nice for situations that everyone is looking at, like the engagement with the merchandising on the home page (or any certain page).
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've found multiple uses for Adobe Analytics in our organization. Each department analyzes the data they need and creates actionables based off of that data. For E-Commerce, we're constantly using data to analyze user engagement, website performance and evaluate ROI.
Sometimes the processing times are very long. I have had reports or dashboards time out multiple times during presentations. It could be improved. It is understandable since there is a huge data set that the tool is processing before showing anything, however for a company that large they should invest in optimizing processing times.
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
I barely see any communication from Adobe Analytics. The content on the web is also not that great or easy to read. I would recommend a better communication about the product and the new addons information to come to its user by a better mean.
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.
Google Analytics comes across more of a reporting tool whereas Adobe Analytics is more of an Enterprise level analytics tool. Contentsquare provides some traffic and flow capabilities but not to the same level as Adobe Analytics. However, Contentsquare's major advantage is its Zoning (Heatmapping), Impact Quantification and Find 'n' Fix modules; none of which are knowingly available in Adobe Analytics.
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
Adobe Analytics impacts nearly every aspect of a billion plus dollar revenue eCommerce business. From measuring the impact of new build features to marketing campaigns.
We are saving substantial money and resource effort by consolidating all of our properties to Adobe Analytics from alternative solutions, at which point we will finally be able to report on Total Digital, rather than disparate reports.
We support experimentation on every platform and the performance is only known through Adobe Analytics tagging.
