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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Lead Forensics
Score 9.0 out of 10
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UK company Lead Forensics offers their eponymous platform for lead generation and web analytics.
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.
Lead Forensics has helped the team monitor and track high intent prospects, and reference their buying behaviour against conversations. Lead Forensics may struggle to deliver meaningful lead volume in our ICP. In this case, the outbound team could be chasing companies that aren’t aligned with [...]'s core offering or aren’t showing genuine buying intent.
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.
Lead Forensics helps us see which companies are visiting our site, even if they don’t fill out a form. This gives us a chance to reach out to businesses that are already showing interest but might not have contacted us yet.
Instead of cold-calling random prospects, we can see which pages a company has viewed and how often they return. This helps us tailor our conversations based on what they’re actually interested in.
The Lead Forensics support team has been great whenever we’ve had questions. They’re quick to respond and always ready to help, whether it’s troubleshooting an issue or offering advice on how to get the most out of the platform.
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).
Better updates on companies' current names. Often if a company was a different company years ago it still says the old company name which is confusing.
Better identifying the correct location. Sometimes it seems like that the location coming up is the wrong location.
Giving a better understanding of how they got to the website would help too. Often is says "direct" but I would like to know if it was via a link from an email or what
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.
I give it an 8 because with just 15–30 minutes a day, I can uncover valuable activity that leads to real revenue. It’s simple to use, and the insights help me prioritize outreach effectively. That small daily investment consistently turns into meaningful follow-ups, upsells, and new opportunities, making it a strong contributor to my sales results.
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.
[Their] support is great, [whether] you call or send in an email. They are always friendly and willing to help. Anytime I can’t figure something out and need to reach out, I always get a response back quick[ly] - and they will always offer to go in and make the change, but I like when they show me so I can do it next time.
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.
I personally use sales intel in tandem with Lead Forensics. They provide different set of data. Lead Forensics is a great tool for helping open up to new markets that you might not have realized existed. It’s an excellent tool for anyone in any facet of sales, worth the money all day long.
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.
We are still in the very early stages of using Lead Forensics for our agency, but I can see that it could already be very useful to us as we haven't had insights like this previously.
Our very first use case with Lead Forensics was with a brand-new client and I would say it went exceptionally well. We were running a large media campaign for them, and it was very insightful to see how those specific businesses were getting to the site and what page they were going to. Like mentioned previously, this helped their very small sales team to go after businesses they know were interested in them.
