Adobe acquired Neolane in July 2013 and later re-named the product Adobe Campaign. Adobe Campaign provides both marketing automation and marketing resource management functionality such as spend & financial management, workflow, and asset management.
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Tableau Desktop
Score 8.3 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
Multi-Channel Campaign Management: I have found Adobe Campaign to be excellent for managing campaigns across multiple channels, including email, mobile, social media, and web. Its centralized platform allows me to plan, execute, and track campaigns effectively, making it ideal for organizations with diverse marketing channels. For example, when I was running a campaign to promote a new product launch across email, SMS, and social media channels, Adobe Campaign provided me with the tools to orchestrate and track the campaign seamlessly. I could ensure consistent messaging and a cohesive customer experience across different channels.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
It allows me to capture leads through various sources, such as website forms or landing pages.
It offers a centralized repository where I can securely store and manage customer data, encompassing contact information, preferences, transaction records, and additional relevant data.
It provides robust analytics and reporting capabilities.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Adobe Campaign does not have a high enough sales intelligence to let us know which landing page format would be the most optimal for the proper development of our mass marketing operations, which in the long run would also help with customer collection.
Does not directly track the number of people who enter our website, beyond sending them automated messages depending on whether they entered a certain section of the site. This problem is important, because it does not allow us to get complete tracking results in that area.
The platform does not do social media marketing extensively enough to let us create dynamic evaluations on the results of interactions that are obtained within social networks, which creates a huge margin of error in our analytical results messages, and so we have stopped applying social marketing.
Once you go for Neolane you are a bit stuck with it, so we will most likely stay with Neolane. Cost of investment and training are the main factors at work here. We havesimply have invested too much in the product to stop using it after 2 years. That said, my score of 8 does not imply that the product is worthy of getting an 8 but reflects our willingness to renew. Given that upgrading to a new version will cost again a substantial sum, we most likely will keep using the current version we are on which is 6X.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Thanks to this tool we are taking more internal control of the creation and deployment of campaigns with less dependency on an ESP. We can pre-program marketing publications, being able to concentrate on the target audience. It helps me manage email campaigns with real-time tracking.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Although there is a lot of material available on the internet to answer questions, I still feel a lack of commitment and delay in the responses of the support, but as a whole, it leaves nothing to be desired. I believe that, in the great majority, companies sin in the desired support, but we cannot generalize. But this one, in particular, has a wide range of specialists and well-qualified management, but I believe that it is not so bad.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
As we tried to centralise the marketing automation platform within the enterprise, Adobe Campaign can plug into several instances of Salesforce.com for lead management queues. All other marketing automation platforms can only plug into one instance of Salesforce.com. Adobe Campaign was also able to handle the complexity and challenges of our enterprise data which are a result of years of legacy, mergers and acquisitions and data aggregation.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Not everything was great at all times. It was handled accordingly, pricing was reasonable for what was purchased. It was the best value on the market at the time of purchase.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Talking about profits can be subjective if you don't take into account the periodic variations between net and gross profit margins, but fortunately with Adobe Campaign, it is easy to notice these differences quickly.
Results have always seemed relative to us, as they vary greatly depending on how much is invested.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
