Mailchimp is an email marketing and marketing automation platform. Beyond just tracking how campaigns perform, Mailchimp takes it a step further by analyzing data from over half a billion emails to show why campaigns perform, driving informed decisions.
$0
per month
Tableau Desktop
Score 8.4 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.
$1,380
per year (purchased via a Creator license)
Pricing
Intuit Mailchimp
Tableau Desktop
Editions & Modules
Free
$0
Essentials
starts at $13
per month
Standard
starts at $20
per month
Premium
starts at $350
per month
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Intuit Mailchimp
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
For any E-commerce related needs, like you need to see a list of customers who have added products to cart but did not purchase, this can be done really easily, but if your e-commerce provider provides integration, then it is best suited. Most of the systems in the Market provide out-of-the-box integration. Their API is also very easy it can be integrated to any language. You can integrate it into your custom developed system and use the features, like adding customers to specific lists. Also, if your lists become really big, then their system can get a bit slow to respond via API, so you might need a strategy for how you are gonna fetch the data using API.
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).
Mailchimp allows you to manage your mailing list really well. You can subscribe people, unsubscribe people manage the mailing list directly into segments, and what not.
Mailchimp has features where you can create campaigns based on your mailing lists and send out newsletters to your subscribers based on a multitude of parameters that you can setup. Such as send email daily, weekly, monthly and they also have event based mails that you can send out.
Mailchimp also has a feature where you can design your emails. The look and aesthetics are very important when sending emails to your subscribers and all those needs are addressed here.
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.
We've had Mailchimp for about ten years, I want to say. I started with the company about four years ago, and I don't see us ever diverting to another source. It's easy for us to use, and we have all our clients already built into the database. I imagine we'll use them for as long as we have the company.
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.
The interface is a bit complicated, and I need to spend some time to learn new functions and understanding how it works. I don't like working with email templates because of the limited customization options. However, functions like AI for generating emails, segmentation, and analytics still work well and are very useful.
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.
I have, in the 4+ years that I've used Mailchimp, never seen an issue that restricted the use of their software/tools. I don't know of a single time when they're system crashed or went down. I could be wrong, but I honestly haven't experienced any issues with outages, errors or unplanned downtime
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.
I haven't noticed any slow speeds from Mailchimp or their tools. I think the landing pages load quickly and look nice. The email reports and editing operates smoothly and doesn't take time to load. Additionally, when I use Mailchimp in conjunction with Zapier + Hubspot I don't notice any drag between any of these tools
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
Website tools were easy to use and understand so a novice can easily meet or exceed their client's expectations! Loved that we were able to totally customize so that the e-mail we created conveyed our client's overall messaging consistent with their branding! Client love that we can provide turnkey services to support their sales and marketing teams!
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
It's pretty easy to get up and running! There's a slight learning curve on a few things, but once you find where everything is located, you can import your list and send your first email. It really makes our clients feel great to see how quickly they can get that first email out.
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.
I don't think they are comparable; we use Google Ads to put our website at the top of the list when someone googles certain words. We use meta business to manage our social media. Google aims to gain customers, while Mailchimp is used to interact with both existing and new customers.
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.
Mailchimp over the years I've used it has grown in leaps and bounds. They have added so many additional features than were previously available. They are truly an all-in-one marketing platform now. If you're a small operation and just want to add email to your marketing efforts, they're there for you. If you're a larger operation and want to start sending postcard advertisements, they can do that. If you'd good with that and want to kick up your marketing by going social, you can do that on their platform. They are truly able to be as small as you need, but also get quite large in whatever it is you'd like to do through their system.
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.
One of my retail web store clients was sending out email specials and notices about once a month. After clicking the send button, we would watch Google Analytics and the current site users would light up immediately. Often, the current site visitors would pop up to 20, 30 or more after the email was sent. On a normal day, seeing 1 or 2 online users would be OK.
Pretty much in all cases, we could see an uptick in positive activity after sending out a Intuit Mailchimp email to a list.
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.
