LeadsPedia vs. NinjaCat vs. Tableau Desktop

Leadspedia is perfect for lead-gen campaigns. It makes tracking very simple. It's great for CPA,CPC and CPL campaigns. I've never tried using it for a CPV type campaign, so I'm not sure how it does with that

Incentivized

NinjaCat has been great for getting clients quickly connected to popular advertising platforms like Snapchat, Facebook, and Google. It can blend data together easily to make overall data easy to access. The template designer is easy to use (though careful there is no auto save or undo button) and you can have a client ready report done easily with one of their premade templates or customize it for your needs. The fact that I can build any metric or pull in about any information with the Google Sheet data feature makes the product far and away one of the best products I've had the pleasure of using.

Incentivized

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).

Incentivized

• LeadsPedia lives and breathes lead and call tracking. Few, if any, platforms do this better.
• LeadsPedia has integrations with several solution providers in the lead gen space, which facilitates lead validation and compliance.
• LeadsPedia's platform is incredibly feature rich, which gives end users plenty of optionality.

Incentivized

• It automates Client Reporting for Digital Advertising -- it's time-consuming to set up, but once it is, you don't have to do very much after that.
• Adding Data Sources to your reporting. NinjaCat integrates with most digital advertising platforms, in particular, Google Ads and Google Analytics.
• It Manages Client Reporting in one place -- there's no need to send reports from different platforms and stitch the information together. NinjaCat pulls all the data and allows you to customize reports for your clients and send them concise data in an appealing format.

Incentivized

• 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.

Incentivized

• I'd love to see LeadsPedia modernize its user interface. The UI already intuitive, but it looks a little outdated.
• I'd love to see LeadsPedia continue integrating with new solution provides in the marketplace. They've done this well, but they should continue these efforts.
• I'd love to see LeadsPedia build out a robust knowledgebase to educate end users on all of their features and functionality.

Incentivized

• The tool does struggle with handling data from tools that aren't particularly clean.
• Many of the tools are designed to help agencies, so publishers have to jump through a few hoops or ignore certain areas.
• Portions of the tool don't work as expected but there are work-arounds in almost all situations.

• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

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.

Incentivized

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

Incentivized

The platform is in-depth and thorough. The support team is amazing. The ability to do automations and data visualizations are fantastic. However, it does lack integrations fore taking data to the next step. Other platforms let you integrate Python and R scripts for organizing data or even forecasting. If NinjaCat were to add this, I think it would be a 10/10 and best product on the market

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

Previously, we had to use both CAKE and Invoca seperately. Cake for lead tracking, and Invoca for call tracking. Now we only have to use one platform, Leadspedia. It's much more user friendly, and makes campaign setup incredibly simple. Wish we would've switched to Leadspedia ages ago.

Incentivized

Google Analytics is raw data. Reporting has improved, but it is limited to the data available in Google Analytics Only. NinjaCat combines data across all the digital platforms you use. Acquisio and Kenshoo have similar capabilities on the reporting side but are cost prohibitive due to their pricing structure. You can't just us the reporting features of either of these 2 platforms as a stand-alone feature. NinjaCat does one thing and does it well -- Automated Client Reporting of digital marketing and advertising.

Incentivized

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.

Incentivized

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.

• It has centralized our entire program, and cut back on a lot of manual reporting

Incentivized

• Improved perception of business by improving reporting
• Much quicker optimization for clients
• Stands out ahead of competitors

• 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.

Incentivized