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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HG Insights Platform
Score 9.0 out of 10
Enterprise companies (1,001+ employees)
The HG Insights platform provides a view into global industries, markets, and companies allowing users to identify the most valuable opportunities and build strategies to maximize revenue and accelerate growth.
Well-suited for companies looking from a customer perspective. They can gain a deep understanding of market trends, customer activities, and where third-party integration is expected. Less suitable for small-scale organizations due to the cost of the tool; otherwise, really useful and productive.
For someone working in B2B IT Marketing, the HG Insights Platform has a wide range of data available that is suited for both a data level employee as well as an ISR. The one draw back is the integration with SFDC isn't as great as we'd like, meaning it is more manual for us to run propensity models using more than one source of data.
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).
The tool work perfect and give us a lot of information with a easy and simpler version. We've been using it during +4 years. It is easier to start and you can create your custom reports. You are able to "drag and drop" the feature you need to measure and give access to that report to specific people inside the corporation and schedule reports. We plan to keep on it as we expand our capabilities
Adobe Analytics has been useful to our company by providing great insight into our business overall demographics, lead conversion, and where are referrals are coming from. The customizing of the reports give us more autonomy over the data we present to our leadership to help them make more knowledgeable decisions.
It’s very easy to use, and the team is very responsive and friendly to work with. The information is unique and usable and can complement some of the data we get from call recordings. The integration with Salesforce is easy to implement and offers good insights into our database.
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.
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.
- Sales Intel seems to be more of a direct competition. Their human research seems to be something interesting. Also the claim to focus on firmographics - We went with Bombora for intent technology in the past - We did not move forward with 6sense
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.
I don't massively get involved in financial matters, but the propensity models we use internally to help run our campaigns are certainly a big factor when our sales people approach our clients.
Every campaign sold now comes with a flat data fee for us to run and use a propensity model for the activity we complete on behalf of our clients.
Whilst the client will never see the raw data behind the model (of which HG does play a part along with our other data sources) they are briefed on the methodology and reasoning behind them.
