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.
N/A
Tableau Desktop
Score 8.3 out of 10
N/A
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.
$75
per month
Pricing
Adobe Campaign
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
Adobe Campaign
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Adobe Campaign
Tableau Desktop
Features
Adobe Campaign
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Adobe Campaign
-
Ratings
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports
00 Ratings
8.1145 Ratings
Customizable dashboards
00 Ratings
9.1174 Ratings
Report Formatting Templates
00 Ratings
8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Adobe Campaign
-
Ratings
Tableau Desktop
8.3
172 Ratings
3% above category average
Drill-down analysis
00 Ratings
8.5167 Ratings
Formatting capabilities
00 Ratings
8.4170 Ratings
Integration with R or other statistical packages
00 Ratings
8.0126 Ratings
Report sharing and collaboration
00 Ratings
8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Adobe Campaign
-
Ratings
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web
00 Ratings
8.0155 Ratings
Publish to PDF
00 Ratings
8.0154 Ratings
Report Versioning
00 Ratings
8.3120 Ratings
Report Delivery Scheduling
00 Ratings
8.6128 Ratings
Delivery to Remote Servers
00 Ratings
8.678 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
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.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
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.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
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.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
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.