Oracle Moat Measurement vs. Q Research Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Moat Measurement
Score 9.0 out of 10
N/A
Moat Analytics is a cross-channel analytics platform with emphasis on mobile analytics and its mobile heatmap for analyzing web engagement. The product is an independent product offering in the Oracle Data Cloud family of products since Oracle acquired Moat in 2017.N/A
Q Research Software
Score 10.0 out of 10
N/A
Q Research Software, a division of Displayr, offers a predictive analytics application for marketers, designed to be easier to use by automating correct statistical to use, drag-and-drop interface for building models, and the ability to read many types of files (e.g. SPSS data files) and able to output the desired file type for presentation, with graphics.N/A
Pricing
Oracle Moat MeasurementQ Research Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Moat MeasurementQ Research Software
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Oracle Moat MeasurementQ Research Software
User Ratings
Oracle Moat MeasurementQ Research Software
Likelihood to Recommend
8.3
(2 ratings)
10.0
(1 ratings)
User Testimonials
Oracle Moat MeasurementQ Research Software
Likelihood to Recommend
Oracle
Moat is well suited to implement into digital placements that are being served through third-party ad servers (Campaign Manager, Flashtalking, etc). It holds your publishers accountable from a viewability standpoint. If you are running high dynamic or site serving placements with 1x1 or click trackers, you aren't able to measure viewability and are at the mercy of publishers providing viewability metrics.
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Displayr
We use Q for quantitative data. If you know what you are doing it can still take a bit of time to manipulate your data into the most suitable format for the software to help you. But it is time well spent because once it's set up, Q makes the analysis a breeze. We use it for producing data tables, word clouds, significance testing, audience segmentation and coding of open-responses.
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Pros
Oracle
  • Breaks down how well each creative has done in a campaign.
  • Allows us to see the progress of a campaign through its time live.
  • Can easily be organized to pull the data you're looking for.
  • Can export into an excel doc to then dig deeper and format and look at data outside of Moat.
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Displayr
  • Produces really easy to view tables
  • Automatically applies significance testing to data, helping the user spot trends
  • Create and insert your own variables and filters to help manipulate the data
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Cons
Oracle
  • I’ve experienced some issues exporting reports into an Excel doc and have to manually copy and paste data with can be very time-consuming.
  • You have to manually wrap video tags with the MOAT pixel which can be a tedious process.
  • Video and display are in separate interfaces so you have to export separately and then consolidate into one report.
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Displayr
  • The pricing model is a little restrictive for smaller teams that only really need one license but have to buy a 2nd to help out modest users/users learning the ropes.
  • Learning the basics can take quite a bit of time but they offer plenty of free resources that help you through it step-by-step
  • Too be honest, I don't have too many complaints
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Alternatives Considered
Oracle
Moat gives our team more insight into how campaigns are running. They give a more detailed breakdown per creative whereas other platforms only touch upon the limited or more specific information.
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Displayr
We still use Excel in order to use Q, but all the analysis happens in Q. No need to learn formulas or reformat spreadsheets. Q does all the heavy lifting.
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Return on Investment
Oracle
  • It has given the media and analytics team more granular metrics to measure for campaigns that may have awareness objectives and no KPIs.
  • Measuring view ability ensures that clients media dollars are being viewed by the targeted audience.
  • Moat allows you to gain metrics that can be very insightful and how users are interacting with placements, creative, etc.
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Displayr
  • Time saving - not exaggerating when I say we can do at least 10x the amount of analysis than we could without it
  • More thorough insights obtained from our data sets
  • Makes data engaging to other stakeholders
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