AB Tasty is a SAAS application created for e-marketers that enables them to optimize their website and conversion rate without technical knowledge. They can test several versions of their pages to identify which one has the biggest impact on their business objectives, e.g. click-through rate on a call to action button, add-to-cart rate, global conversion rate of their website.
N/A
Adobe Analytics
Score 8.3 out of 10
N/A
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…
A/B Tasty tool allows us do easy testing without burdening our limited developer resources all the time. Reports are simple enough to interpret. Support has been excellent and proactive, also the onboarding was successful. It is also an advantage that we have the possibility to drive all our traffic to the test versions rather than being limited to specific user amount per month. We can recommend A/B Tasty for testing purposes, as the platform keeps it’s promises, doesn’t require too much technical knowledge and the support is excellent.
Adobe Analytics is better than some other tools as it feels better set up for actual "analysis", rather than simply "reporting". The power of Workspace allows you to drag 'n' drop at ease which makes you are far more in control of your own analysis/discovery/exploration. However, regards the final reports and dashboards' look 'n' feel the Workspace PDF output is lacking visually compared to other products like Google's Looker. To engage with less technical end users sometimes Looker feels the better, more polished option.
Customer-focused. Over the past year, AB Tasty has worked with us to overcome many obstacles (e.g. tracking hurdles, ITP issues, etc.). The team always finds a solution in a timely manner to ensure we're able to execute on experiments.
Reliability. One of the biggest hurdles earlier this year were the ITP regulations set out by Apple. Over 40% of our ad traffic was Safari users. AB Tasty was using 3rd party cookies but quickly migrated over to a local session storage solution that circumvented the issue.
They've been really an industry standard tool in analytics for a long, long time. They've got the trusted brand and the reputation, a wonderful community behind it. It is always nice, having that level of support where you can meet other practitioners. It's a great benefit because I can meet other people who have already pushed the tool a lot farther than I have. And it's a great place to get ideas in that way. We came from a world where we were running on a homegrown system that we'd use to do click tracking. You get some advantages on that of the customization, but losing out on community of support was one of the big reasons why we decided to move beyond that and implement Adobe Analytics instead.
Sometimes the platform is a little glitchy and requires a refresh.
Would be great to be able to see the experiments and projects on a timeline with their status and main result to have an immediate view of ongoing and completed projects.
Email notification for when an experiment reaches a certain confidence level.
Most of the problems that Adobe Analytics as of now is having, it is getting addressed in a newer tool called Web Desk DK from implementation. They are already addressing that issue with the new tool and also the time data with the customer general analytics. So there is something not in workspace analysis and this is what they're addressing in customer general analytics. Which is good.
AB Tasty's tool as well as the support team completely met my goals on A/B Testing. Editing a test is really easy and AB Tasty made the marketing team free to launch nearly any test. Reporting is also easy to set up and give us the information needed to keep improving transformation on landing pages and 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.
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 is good, but it would be better if it was quicker or if AB Tasty provided a quicker SLA. At times, you require stuff urgently but AB Tasty support isn't as quick as I personally like it to be.
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.
We selected AB Tasty mostly because we got a sense that their dev and customer service teams were going to go above and beyond to help us out. We were right! The cost was also a factor as they came in a small bit lower, but cost wasn't the only factor.
I think Adobe's been around longer as a product but Tealium, from when I did research, it has auto-tagging. So one of my biggest pet peeves is when I'm rolling out new features, and whether it's an app or a website, is that I have to go speak with our metrics team or tagging team and we have to come up with these different strategies. Okay, how are we gonna tag it? What are we going to name it? It just seems like a lot of wasted time in my opinion. I want to track everything. I want to know every single thing these people are doing. We shouldn't have to have this conversation if we tag this, you might not have time to tag this right away for MVP. It's like that to me right now. That shouldn't even be a conversation. I should be able to release a feature, I should be able to just automatically go pull reports on that. And just figure out exactly what they were doing.
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
Since we use AB tasty our conversion rates have significantly increased on the Watch pages.
We can report positive comments about the evolutions of our interfaces, from our expert users. And so improved customer satisfaction.
The solution allows us to validate or invalidate without taking major risk while gaining in reactivity, our proposals relook pages.
Commitment rates are much higher, multiplied by 2 or 3, when we implement customizations that are relevant. These customizations are very relevant insofar as we are governed by the seasonality of events as a media site.
I like to think it's positive. It's a very steep learning curve, so we do face a lot of challenges with adoption inside of the companies. My team and I evangelize this and also who's in charge of data and advanced analytics, but it's very hard to leverage that with typical business analysis people. These are people who live their life in Excel and SQL and Power BI. They just use this very occasionally and by only looking at that sort of aggregate data, they miss out on behavior and what actually happens in execution. And because it's such a steep learning curve, we do have a challenge pushing it in there.
