Adobe Analytics vs. Heap vs. Webtrends 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.

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Scenarios when Heap was well suited: It is when a user claims that he encountered a bug without giving us the details of the error message. Scenarios where it is less appropriate: Its when we try to capture user interaction in our mobile app

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Scenarios 1. If you want to use web server log files as input to your web analytics, then Webtrends will provides a good product, with great ease of implementation. Don't even think about being cheap on hardware, and make sure Webtrends runs on real servers, not in a VM environment. 2. If you want to use Data Tagging, similar to Google Analytics or Site Catalyst, Webtrends has a powerful product, just be prepared to pay. 3. If you are new to Web Analytics, but it is the strategic direction, start with Webtrends on Premises. Questions to Ask 1. What are you trying to accomplish? 2. Can you place a dollar value on the benefit that you expect/need from Webtrends? 3.Can you live with Webtrends running SaaS?

• 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.

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• Realtime interactions which are captured automatically is a unique feature which no other product offers.
• Low code implementation is a big plus for marketing teams, as there is less dependency on engineering
• Detailed customer behaviours can be studied with captured replay sessions
• Due to all the above points - it helped to improve customer experience

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• Control privacy, data sharing and competitive industrial knowledge using Webtrends on premises
• Great control over custom reports, custom dimensions and metrics
• Flexible tool which allows multiple methods of data capture. To my knowledge it was the first tool with a Tag Builder / Tag Management function built in via a supporting website.

• 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).

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• I think Heap can improve its onboarding; I would love to see some info that is helpful for someone who isn't in Heap every single day.
• Sharing dashboards can be tricky, it feels like a huge learning curve that I already have forgotten how to do.

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• The big downside, the elephant in the room, is that it does not (as of right now) have on-demand segmenting, drilldowns, etc. You have to think of what you want in advance and create those reports then analyze some data. This is huge. You can, of course, re-analyze old data after creating new reports but you still have to wait. (This deficiency may become obsolete with the release of Webtrends Explore later this month (May 2014).)
• It has fewer mature integrations with other products and databases than competitors do, although I'm told it works with SharePoint better than anything else does.
• Its attribution modeling capability is behind Google Analytics'. In my humble opinion, this could be changed quickly if Webtrends would make some tweaks to its standard visitor history files (i.e. preserve the order in which past visits were sourced beyond the single most recent one, rather than storing all those past sources as a randomized list).
• It doesn't incorporate statistical tests, confidence intervals, or statistical associations. However, this same criticism can be applied to its competitors (other than A/B Testing products). It's a tabulation program, as they all are. In this respect, web analytics tools as a group are relatively primitive. Sorry to bring this up as a criticism of Webtrends but it's my pet peeve about the whole industry and I just have to say it. (p.s. take advantage of the heavy-duty Webtrends Scheduled Export functionality to get really granular data that you can feed to a stats program to get significances.)
• Although the documentation, help screens, phone support and the knowledge base have improved tremendously in recent years, there is still a pretty steep learning curve because it is different from the tools that entry-level users may have already been exposed to. This can be a shock and many users are alienated at first because they just don't get some of the fundamentals at first. I'd like to see much better help screens that are thoroughly interlinked with the KB and documentation. Having superb online support would make a world of difference with the adoption of this basically powerful tool.

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.

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It's a great platform. I'm glad that one of our product managers introduced it because it has allowed us to create all kinds of new functionality. We're not only able to create a better product experience from our communications because of Heap, but we're also able to generate all kinds of helpful analysis.

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I would be willing to try Webtrends again AFTER some research from other users. I would need to see that users mention better and faster customer support on questions and issues that arise while using the software. The software is capable of vast and incredible things, but if it isnt properly set up and supported during use, it is just a big hassel and waste of everyones time and money.

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.

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On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.

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If I could give it a 0, I would. Not having an intuitive user interface made it impossible to convince non-analytic business users to use the tool on their own. Even as a seasoned analyst, frequent calls were needed to get what should be simple tasks done. Account managers don't understand the tool either, and have to refer you to technical support

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.

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I've never run into any issues with Heap's availability, Heap is always there when I need it. I haven't run into any issues like application errors or unplanned outages during my 2+ years of using Heap. Each and every time I log in to Heap I have a completely functional experience

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It is much better than average. Down time usually occurs because of a need to refresh the server on our end.

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

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Heap doesn't affect page load times considerably nor has a large impact [on] our overall score, as far as page loading times inside of the tool its pretty reliable to retrieve data as much as "instant" that it can be the delay seems to be on data getting tracked into the servers to be read but it's not significant.

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The v9 admin interface and v10 reporting interface work as well as expected, but have a tendency to be pokey, especially for bulky reports and whenever you're connected to wifi. I much prefer using the REST API for all reporting for this reason, which simply dumps out the data and doesn't bother with the user interface.

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.

Heap support has allowed us to troubleshoot and test a lot of different items. Their support team is always helpful and friendly, even when we come to them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and friendly.

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I once went on to Twitter to ask for help from my network of analytics people, and Webtrends themselves responded. They have been an excellent partner in making sure that their product is being used to the best of it's ability and I greatly appreciate that. Both Omniture and Google Analytics, do not have that level of support over social media

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 in-person training was comprehensive enough to get you started, but I strongly recommend having a more experienced person when beginning with the tool.

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.

Webtrends provides several free webinars over the course of the year, many of which I would expect to pay for. The people providing the webinars seem to have a good feel for real-world application of the product.

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.

The implementation was smooth and easy. The Heap team helped us with implementation and it went great! Within a few weeks, we were fully up and running and utilizing the platform to its full capability. This is an additional thing that has made this platform so great and we couldn't recommend it enough.

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Careful planning and patience. Use a non-public test site to fine tune tags and reporting. Despite best laid plans, there will be surprises when you collect the data, run the analysis and begin generating reports using the tool. Perform a tag audit to ensure tags fire as desired.

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.

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Heap offers a ton of functionality on a single platform.It also has an smart data science layer to offers suggestions for next steps in the analysis, allowing us to explore alternative paths we may not think to take. The low-code option for updating data is appealing, and there is a lot of automation with minimal engineering effort.

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Webtrends has its work cut out for itself considering you have the behemoth Google Analytics and Google Analytics Premium having a strong offering and brand recognition for the price of free. After reviewing the paid service I'd suggest you start off with GA as a cheaper alternative that is just as robust, if not much more flexible in regards to the reporting and goal tracking needs for our company.

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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.

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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.

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The most challenging part of using Heap in a growing organization is the naming and structure in which reports and dashboards are organized. I work within the marketing department and our Heap leader internally works within the IT/Product department, which makes it challenging because we often don't speak the same language, so the learning curve has been steep without any specific use-case examples to leverage online.

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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

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• 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.

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• It has helped us make decisions on what products to scope for our MVP based on the usage data.
• It's allowed us to measure success with our beta product.
• It's helped us view our conversion rates in an easy and usable manner.

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• Webtrends has had a positive impact on site visitation because it allowed us to understand the sources by domain for site traffic and find out ways to increase visits from those domains.
• Webtrends has also allowed us to understand areas of optimization on the site, which has had a positive impact on the overall user journey on the site, likely leading to longer site duration and engagement.