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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Similarweb
Score 6.9 out of 10
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For marketing managers, Similarweb offers competitive analysis across websites and apps, offering insights into traffic sources, user engagement, and market trends. Beyond SEO, Similarweb supports overall digital performance, helping businesses benchmark against competitors and uncover growth opportunities across industries.
$129
per month 1 user
Pricing
Adobe Analytics
Similarweb
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Sales Intelligence - Individual
$129
per month 1 user
Web Intelligence - Starter
$199
per month 1 user
Web Intelligence - Professional
$399
per month 1 user
Shopper Intelligence - Business
$25000
per year 5 users
Web Intelligence - Team
Custom
5 users
Web Intelligence - Enterprise
Custom
per year 10 users
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Adobe Analytics
Similarweb
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Optional
Additional Details
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The Starter and Professional plans are available with monthly subscriptions, ideal for individuals or small teams. For larger organizations, the Team and Enterprise packages are customized annual solutions, tailored to specific goals and scale.
These plans are for marketers, market researchers, and SEO/PPC teams looking to track competitors, uncover market trends, and benchmark performance.
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Community Pulse
Adobe Analytics
Similarweb
Features
Adobe Analytics
Similarweb
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Adobe Analytics
8.6
Ratings
7% above category average
Similarweb
-
Ratings
Lead Conversion Tracking
8.40 Ratings
00 Ratings
Bounce Rate Measurement
8.30 Ratings
00 Ratings
Device and Browser Reporting
8.70 Ratings
00 Ratings
Pageview Tracking
8.90 Ratings
00 Ratings
Event Tracking
8.90 Ratings
00 Ratings
Reporting in real-time
9.30 Ratings
00 Ratings
Referral Source Tracking
8.10 Ratings
00 Ratings
Customizable Dashboards
8.30 Ratings
00 Ratings
SEO
Comparison of SEO features of Product A and Product B
Adobe Analytics
-
Ratings
Similarweb
8.0
Ratings
Keyword analysis
00 Ratings
8.00 Ratings
SERP ranking tracking
00 Ratings
7.20 Ratings
Competitive analysis
00 Ratings
8.90 Ratings
Market Research
Comparison of Market Research features of Product A and Product B
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.
Similarweb is our go-to tool for SEO research. We can identify high-value keywords, track our rankings, and monitor changes in our website's traffic. This data is invaluable for optimizing our content and ensuring we rank high on search engine results pages.
eVars (love, wish there was more but I heard they are unlimited in AJA)
Projects. The transition from Reports to Projects was easier for me to navigate than I thought it was going to be.
Adobe Templates. Again with the love. Nothing helps me more than copying a template and then deconstructing it to see how it works and reconstruct to how I want it to be.
Competitive Analysis: Similarweb has provided us with a comprehensive toolkit for analyzing web traffic and audience behavior for various sports teams, leagues, and players. We can compare and contrast their online presence, helping us gain a competitive edge by understanding their digital strategies.
Sponsorship Decisions: Making informed sponsorship decisions is vital in sports. Similarweb assists us in evaluating potential sponsorships by providing insights into the online presence and reach of potential partners.
Audience Demographics: One of the standout features of Similarweb is its ability to provide detailed audience demographics. We can pinpoint the age groups, locations, and interests of online visitors, which is crucial for tailoring content, promotions, and sponsorship deals effectively.
Our site has about 250,000 definitions pages on dictionary.com. We've got about 150,000 synonym pages across the source.com. So very high volume of pages. As you can imagine, most of these are pretty low traffic. You've got maybe that top 5%, 10% are really driving a huge amount of traffic, but then you have all these really obscure things out there. There's still a lot of important information you can get there and oftentimes in our Adobe Analytics reporting suite, it'll kind of bundle things at low traffic at a pretty low threshold for us to get to. So that can be a limitation when we're trying to do some really detailed keyword analysis. The way we've gotten around that is we make use of the data feed and the export. So we make the data available to our analyst in more of that raw state. So when they really do need to truly get into that weeds data, we don't run into that low traffic limitation.
Top Pages Data: In the past, Similarweb PRO provided extensive data on a website's top pages, allowing for a deeper understanding of competitors' content strategies. However, the platform has reduced the extent of this information in recent years, limiting the insights users can glean. Restoring more comprehensive top pages data would be a valuable addition to the platform.
Data Accuracy: While Similarweb PRO generally provides accurate data, there have been instances where the reported numbers deviate from the actual figures, particularly for smaller or niche websites. Improving the platform's data accuracy, especially for less prominent sites, would enhance the overall reliability of the tool.
New pricing models are very expensive compared to old pricing model, even though it includes several additional tools, most of which seem to be beneficial
Horrible support experience despite working with escalation teams to try and resolve
Several bugs in recent releases which remain unresolved for many months at a time
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.
Similarweb is a very easy to use tool and gives us data on the go. It takes only a few clicks to get the relevant data. However, I have deducted 2 points as it only allows us to add 5 websites at a time on the platform, and data availability is only for the last 37 months.
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.
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.
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.
Support is just helpful and effective when you need them; we have only needed to contact them once about a misunderstanding while setting up our Market Analysis. Since we don't really contact them too often, it's hard to offer anything but a positive rating from the single positive experience we had with tech support.
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.
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!!!
Historically I've looked at a lot of different products. More recently I'd say Mamo and Google Analytics. Those are probably the two big ones that I've seen around, so yeah. It's more feature rich. It provides more dimensions, more breakdowns, and it also scales data better
Whilst data.ai has strong app competitor intelligence data, Similarweb do a better job of showing the upstream and downstair behaviour across desktop and mobile web. Additionally, Similarweb's channel marketing mix goes deeper and allows us to understand a wider set of channels and be able to get a holistic understanding of our overall marketing strategy performance
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.
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.
Similarweb PRO has helped us gain conviction in industries or companies we're interested in early on and, conversely has helped us kill deals where see many negative indicators
Helped us give our portfolio companies insights into their own website performance vs. competitors