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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Agentforce Sales
Score 8.8 out of 10
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Salesforce' Agentforce Sales (formerly Salesforce Sales Cloud) is the company's flagship CRM platform. The AI CRM for Sales features data built right in.
I've used Google Analytics, which is probably the most direct competitor to Adobe Analytics, as well as Pendo Analytics, which is a little bit more of an adjacent product. It's more focused on product analytics rather than web analytics. I've also used Localytics, which is a …
Adobe in my mind, like I I've had clients that have used it, it feels like more of an enterprise, large size company type of solution. so yeah, it's been one of the, the two, you know, as I've been in advertising for 15 years, like IT and Google Analytics are the two big …
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 …
Compared to Google Analytics, Adobe Analytics is more powerful for deep segmentation and global analysis. It’s a bit less intuitive, but we chose it for flexibility, better cross-channel attribution, and the ability to handle complex user journeys at scale, which mattered more …
As I mentioned before, we identify a need to scale up our web performance in different languages and countries. Adobe Analytics allow us to use filters, segments, metrics inside an "all-in-one" report. No new web browser tabs to be loaded every time we need to change a date or …
I cant see direct compition with other products apart from one product which is Adobe Customer Journey Analytics. I'm generally suggesting to use Adobe Analytics with eCommerce platforms like Adobe Commerce as well as Adobe Experience Manager. It works best and easy to …
Google Analytics had issues with Geo locations, and our Markets were tracking less and less users. Also the GA is based on sampled data and it was not flexible enough for us to create different segments and classifications.
We felt Adobe Analytics was a much more robust platform and stacked that gave us much more depth into user behavior across our different channels. We needed a platform that had no sampling involved with a longer time. Period for analysis to ensure we were always able to pull …
Adobe Analytics is a more advanced tool which is used for complex business needs and it does require a lot of setup from the backend. However, when compared to tools like Google Analytics, it is significantly better with customization, personalization and attribution. It is …
Clients usually select Adobe Analytics because it suits them better than the alternatives and they want more customisation than GA4 offers. Also because they might be with Adobe Experience Cloud for a few other things like tag management, A/B testing, audience manager, campaign …
Based on my experience, I’ve used Odoo — it’s an open-source ERP system. It’s not exactly the same as Salesforce or Sales Cloud, but it serves a similar purpose. And I feel that Sales Cloud is better. Personally, I find it easier to use and better than what Odoo offers, …
Over the years, I’ve helped many people move from different sales solutions — like Dynamics, HubSpot, and Act, which was one of the first ones. I’ve supported a lot of organizations in moving from those platforms to Salesforce.
So I've evaluated, implemented Microsoft Dynamics in the past. I've used Oracle CRM solutions. I've used Daylight, which is a very niche CRM system the last couple of years. And I've evaluated a variety from Legacy Microsoft Ones to Zoho and Sugar when making implementation …
Actually, we have not. By the time I joined my company, we already had Sales Cloud. It was already there and the decision was made. I'm sure that there were other small companies that the upper management team evaluated very quickly, but they came to a decision very quickly. I …
Raiser's Edge, CSING. Those are the primary ones. There's no competition at all. I mean, in terms of tracking duplicate contact, I mean contacts ability to be secure and provide the right access for different levels. Salesforce was able to do that. Oh yeah. Yes. Whereas the …
We have used HubSpot and we have used jojo CRM. So the customer who cannot afford the licensing model of Salesforce, jojo CRM is a very good platform and another for assembly level, hub Spot does the work as well.
Salesforce is magnificently more robust and functions much better when managing complex sales cycles with multiple individuals and products. With simple sales cycles and few products, Excel is a strong contender.
Salesforce CMS stacks up as a Customer management system because it has a more user friendly snd intuitive interface. The UX is better and more modern. It can be customised and extended. There are always learning opportunities and updates for the system so it keeps on …
Salesforce more so compliments these products, rather than stacks against them. We don't have any products similar to Salesforce CMS, so in lieu of that, these are the products we were using that mesh the easiest with Salesforce CMS in terms of proceeding through the …
In my opinion, Salesforce CMS is the most complex of these offerings, and probably the most complex platform of its kind. It was selected by another stakeholder - I would likely have chosen something less expensive and more intuitive to use. The robust feature set is amazing, …
We used the Catalyst product of Totango. It was not great as it was hard to navigate, and it did not offer any reporting capabilities at all, nor did it speed up our day-to-day tasks.
It is well suited for everything. I do because my advertising platforms will show me where I'm spending money and where I'm getting clicks, but you don't know anything beyond that. I always have to go into Adobe Analytics to see what those clicks are getting me. Are they actually visiting the website and doing anything we want them to do? And advertising, you can't just spend money without the results. So it allows me to close that loop and show the actions, in some cases, revenue, and the ROI for spending money. What's the return in revenue that we're getting? So I use it for everything. I can't look at the data that's in it. Adobe Analytics, when you live in the world of advertising, the contrary, you said, when would I not use it? So there are some instances where I'll go to a different sales-focused reporting platform or Salesforce reporting. Adobe Analytics is currently in our world at ESRI, but we don't have all that Salesforce data in Adobe Analytics. So that means I don't always go there for that sales-related data. I go into other reporting platforms to see that.
In the end, I think we can always make it fit — and that’s one of the powers of Salesforce. Because of its flexibility and wide range of possibilities, you can really make it work for almost any need. The key, though, is to make thoughtful decisions upfront and plan carefully how you set it up. If you do that, you’ll end up with a truly flexible and effective system.
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.
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).
I’d say the only thing that can be a bit tricky — and I know Tableau helps address this — is that sometimes we’re limited in how deep we can go with the data in terms of reporting. It would be great to have a bit more robustness within the app itself. However, we’ve figured out our workarounds, and overall, I think it’s a fantastic product — which is why I’ve been working with it for 23 years.
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
There are days when I wish we hadn't switched, but I know that if we put in the time, we will get to where we want to be with the software and that it has many more capabilities than anything else we looked at. However, the amount of time and onboarding we need to do is also far greater than we realized/were told when we originally bought the product. They told us we should hire onboarding support, but at the end, after we had already reached our budget maximum for this, so it's been slower than we had hoped.
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.
All in all, it's a great product that use all day, every day. It's aesthetically pleasing overall and specifically provides information in a clean, concise way. It's easy to manipulate and seems to play well with the other products I use such as Pardot, Gmelius, and our company's proprietary data system. It increases my efficieny in my admin tasks so I have more time to focus on revenue-generation and account management. It's also easy to use from everywhere where it be on a university campus, in a hotel room, one of a million Starbucks, or at home
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.
All Force.com apps run on world-class data centers with backup, failover, and disaster-recovery facilities. Force.com has had a proven 99.9 percent uptime record for years. Accordingly, I only recall our instance of Salesforce having one unscheduled, brief down time over 6 years. I can't remember for sure, but it may have been due to our Internet Service Provider (ISP) versus Salesforce itself. Also, Salesforce does it's best to keep customers in the loop:
Trust.salesforce.com is the salesforce.com community's home for real-time information on system performance and security. On this site you'll find:
Live and historical data on system performance Up-to-the minute information on planned maintenance Phishing, malicious software and social engineering threats Best security practices for your organization Information on how we safeguard your data
Overall, Adobe's servers seem responsive. Like any large-scale SAS provider, they can have occasional slowdowns where, I presume, a node is not available and other servers get bogged down with the user load. I have noticed this with both large and small data sets and reports.
On that note, Adobe Analytics can take a long time to run reports and pull various data points, depending on the period of time, number of metrics and segments applied. As you create reports, particularly in Workspace, the data are pulled in real-time while you're creating the report. This can often cause issues while trying to drag more metrics into the interface when certain elements of a table are grayed out because data is being pulled in.The more data points and segments involved, the longer it takes to update. When you look at larger windows of time, it takes even longer. If one were to compare to Google Analytics or one of the open source products like Piwik or Motomo, Adobe seems much slower. However, Adobe also supports far more variables than other web analytics products.
For a SaaS provider, I'd rate their performance to be one of the best. At times, reporting tends to slow down if the data set is very large, which is the case in any system. But, that's a very rare phenomenon
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.
The overall support has been good. More and more features are being released quite frequently. Very small features are also making big difference in how the tool can be adapted and used better. If there is anything we need or are stuck, the support team sets up a call and helps in resolving the issue/provides workarounds.
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
I attended two training sessions. I would rate them a 4 as an advanced user. It was very basic – great for someone new – would give 8+ for new person.
I had 3 years of experience at the time. I skipped basic and went onto advanced and still not helpful. A lot of it was best practices that didn’t feel relevant for our business
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.
I have gone through multiple. The content that’s delivered is quite basic – I wish they had more advanced training.
We are grandfathered into premium support plus training. We get unlimited access to instructor led and online training for free. We have taken advantage of this
It is a large effort to implement. Throwing a developer with zero experience with Adobe Analytics with no support is a REALLY BAD IDEA!!! Having experienced developers working as a team is crucial to a strong implementation. I say this because I have experienced both scenarios. I was the only developer on an implementation project and I had no experience with Adobe Analytics. As a result I made many architecturally bad decisions which lead to a rigid fragile implementation that eventually was scraped. It took some hard lessons to learn that Adobe Analytics was not as simple as their sales reps make it sound. Using the Adobe Dynamic Tag Manager made sequential implementations incredibly STRONG. Having a DTM to manage the code was a miracle and a life saver!!! If you plan on doing a big enterprise level implementation, please seriously consider using the Adobe Dynamic Tag Manager!!! it made code maintenance super slick and easy which is super important for a developer!!!
Just from an organizational standpoint - we standardized our data prior to moving to Salesforce. But we essentially standardized it wrong. That's created a big disgusting mess for us know that I'll have to deal with as the Admin. Be sure you think through use cases prior to doing something like that - seek outside opinions on how the data will work best, especially depending on what else you're going to integrate with Salesforce.
I've used Google Analytics, which is probably the most direct competitor to Adobe Analytics, as well as Pendo Analytics, which is a little bit more of an adjacent product. It's more focused on product analytics rather than web analytics. I've also used Localytics, which is a mobile app analytics platform, which is there. In my experience, Adobe Analytics is far more full-featured and rich compared to Google Analytics and Pendo Analytics. Pendo has some interesting features that it offers that Adobe Analytics doesn't, but at an enterprise level, at least, or at a large organization scale, they're not critical features that are necessary. Adobe Analytics's flexibility in ingesting and exporting data makes it well-suited to environments like ours, where we need to merge web analytics data with other datasets we might have. And so that's been very effective for us. Localytics is strictly a mobile analytics platform, so it has some point level advantages, but the fact that Adobe Analytics is able to marry and kind of merge web analytics data with mobile analytics data into one kind of view of the data is a really nice feature that, in my mind, makes it superior to Localytics in general. And its Localytics reporting capabilities are far limited, I would say, from a reporting standpoint. All of the other competitors I've looked at, they're, the reporting capabilities are just not nearly as sophisticated as Adobe Analytics.
Based on my experience, I’ve used Odoo — it’s an open-source ERP system. It’s not exactly the same as Salesforce or Sales Cloud, but it serves a similar purpose. And I feel that Sales Cloud is better. Personally, I find it easier to use and better than what Odoo offers, especially in terms of customization and achieving business objectives. That’s where Salesforce Sales Cloud really stands out in comparison to Odoo.
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.
It's very scalable as it has a ton of features (but you do need an admin who understands how to leverage these features). Because of the various features, we've also needed to host onboarding sessions with our users so that they can familiarize themselves with the platform, which isn't always super user-friendly or intuitive.
I think we're able to quantitatively analyze and report back on activities on our websites, where in the financial services sector, we really haven't been able to report that in the past. And so, as a company that has clutched onto paper as long as it possibly can, it's refreshing to our leadership to be able to report back and say these are exact things that are being done on our website that can lead to increased sales, increased signups, ease of use for our end users, et cetera.
It helps us achieve our objectives, especially now with Agentforce — we can get more insights to help our sellers sell more. It’s really nice because it’s almost like you can use the standard part of Salesforce to train your agents and teach your sellers how to improve their sales. So that’s really nice.
