Adobe Analytics vs. Adobe Marketo Engage vs. Google 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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Adobe Marketo Engage is an excellent tool for hosting registration forms and sending out tokenized emails based on a particular person's information within your database. For example, if someone attends an event or webinar and indicates that they'd like to learn more about your product, then Adobe Marketo Engage can easily trigger a specific email template to that person that will be personalized with tokens about them. The pixel tracking that can be applied to any web page is also very helpful. If you want to focus on a more 1:1 type of follow up with a Lead, then the automated emails are not going to be as useful.

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Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.

• 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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• It keeps all of our very important lead data in one place. It's very flexible, allows us to do a lot of different things around list building and segmentation. It deploys our email campaigns for us and it's also where our landing pages are built. So it does a lot of the things that we need to do from a data and deployment perspective.

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• Multiple reports to see website use and behavior
• Allows you to customize reports with days, weeks, months, and years
• You can build out a dashboard to easily view stats from multiple websites in one place
• You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats

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• 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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• Adobe Marketo Engage crashes a lot or freezes. We don't have many users and less than 300k contacts so there's no reason it should ever crash.
• It's really expensive! It would be nice to pick which features we want a la cart versus being stuck paying more for a feature and not using the others in the package.
• Because of our integration with Dynamics, we had to use a 3rd party tool called Scribe for field matching. No one at Adobe will help us now that we have a 3rd party tool

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• Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
• Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
• Gotchas around filtering and data validation.
• Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.

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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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We're likely to renew for several reasons:

• Now that it's been implemented, I can't imagine not having marketing automation and the easy interface that Marketo provides to run our campaigns
• Marketo's community and customer service is fantastic; I know that when I need help, I'll get it
• Marketo continues to improve the product, so I know that I can expect it to be even more useful in the future

We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.

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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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In some aspects, the tool can feel quite clunky in parts. But with the rich feature set it has, it's understandable. There is a lot of room for improvement for the user interface. The system itself doesn't have a slick or modern feel, so the usability could feel nicer to use with these areas considered.

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Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements

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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Marketo provides different way and abilities to connect. If you are having product support or unexplained errors you can get someone on Marketo support 24 hours a day. One of Marketo's greatest assets in my opinion however would be the community. Often times our company is just looking for case success stories from someone else. In the community you can search for problems you are currently facing and see others having the same issue and solutions for those issues. If not, you can pose a question to the whole community and champions of the product and others can chime in to provide suggestions to fix your needs. The community is truly a 24/7 place to get your answers quickly.

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We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.

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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There are times when it is slightly slow for us, where we sit on a screen waiting for it to load. This could be our internet since we have had the same issue occasionally with other systems, but it is enough to make you crazy.

This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics

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.

On multiple occasions we've had Marketo support (technical and license based) issues. Technical issues were minor and resolved within a day. License based issues (even things encouraged by Marketo for partners, like provisioning another license) took WEEKS. They actually took so long to respond that the client we were working with withdrew from the contract because they were no longer convinced Marketo was capable of supporting their business. As an agency trying to sell the software, you can only explain away so much before they just made us look silly.

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The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.

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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

Our account rep stopped out in Lincoln, NE to ensure we were properly set up and running. This was very much appreciated. I was very, very new at this point, so I can't comment very much on the extent of what was taught because I was still brand new to the company and the system

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.

I had never used Marketo prior to taking this job so online training was my starting point. I was able to follow along, it was interesting and quickly and efficiently taught me what I needed to know without a lot of fluff. It was far from boring and really helped me get my hands dirty with Marketo.

love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.

1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.

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.

1. Have a content marketing plan to run in parallel with the marketing automation installation--you'll need a lot of content to make full use of Marketo's capabilities. 2. Work with sales (and ISRs) to define and document a workflow--build your Marketo installation around how you do business--not figure out how to apply your business to the tools 3. Spend time of data cleaning--both an initial project as well as a strategy for ongoing data management. We found some change manaement issues (no more appending ZZZ to the first name to identify contacts who have left the company, for example, or prohibiting the entry of "info@company.com" email addresses). 4. Find some champions in the sales and ISR teams. You'll have both fans and detractors--work with the fans to build some success stories

I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.

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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Adobe Marketo Engage is one of the best email sending platforms I have worked with, because there is so much you can do on a lead scoring area and also then connect this to other platforms such as Salesforce. It allows for seamless reporting and working alongside sales colleagues. We chose Adobe Marketo Engage because it allows for more sophisticated audience segmentation and management of ongoing large scale nurture flows across a number of complex criteria.

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I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.

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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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The total cost is a little bit higher than we expected.

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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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We look at scaleability in a few different ways. First, the speed while using Marketo has remained relatively the same as our database has grown. Though I would say Marketo is slow at times, it has not gotten slower over the last few years. If anything, it has improved, and they are working to improve it. Second, the amount of programs we have developed in Marketo has exponentially grown as well. Marketo has allowed us to drastically increase our output without having to drastically increase our headcount.

Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions

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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• Generated a 35% higher return on investment (ROI) in demand generation in the company.
• The focus on the accounts that presented a greater sales potential, allowed us to prioritize and reduce costs by 20 Million USD.
• Being personal and optimized. reduced efforts towards a more personalized customer experience, in working hours by almost 100 h.

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• It has helped us gain understanding of what is going on on our website.
• It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
• It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
• It has helped guide our website redesign.

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