Nielsen Marketing Mix Modeling vs. Q Research Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Nielsen Marketing Mix Modeling
Score 1.0 out of 10
N/A
Nielsen Marketing Mix Modeling enables customers to assess the impact of their investments, understand what’s working, and optimize marketing budgets accordingly. It replaces Nielsen Attribution (formerly Visual IQ, acquired by Nielsen in October 2017) , the platform for cross-channel attribution and marketing analytics suite.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
Nielsen Marketing Mix ModelingQ Research Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Nielsen Marketing Mix ModelingQ 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
Nielsen Marketing Mix ModelingQ Research Software
Top Cons

No answers on this topic

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User Ratings
Nielsen Marketing Mix ModelingQ Research Software
Likelihood to Recommend
1.0
(1 ratings)
10.0
(1 ratings)
User Testimonials
Nielsen Marketing Mix ModelingQ Research Software
Likelihood to Recommend
Nielsen
Would be suited for simpler products with 1-2 KPIs, online-only, web-only, etc. Not suited for multiple KPIs that interact with customers through many tools, offline and online, and with both web and native apps.
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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
Nielsen
  • Access to FB impressions.
  • TapAd device graph for stitching device ids to web cookies.
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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
Nielsen
  • Missing timestamps of the touch points in the output (instead, they repeat the conversion timestamp for all touch points that preceded the conversion).
  • Inflated clicks.
  • No connectors to import cost from media partners.
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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
Nielsen
VisualIQ is 1 of 2 partners only that have access to FB impressions.
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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
Nielsen
  • We’ve been implementing for a year now and still not using the tool cross-functionally so probably $0 ROI at this point.
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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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