Attribution in Google Analytics vs. Nielsen Marketing Mix Modeling

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Attribution in Google Analytics
Score 6.6 out of 10
N/A
Attribution in Analytics is Google's free cross-channel, multi-touch attribution solution. It's currently released as a beta feature and is based on the former Adometry, a cross-channel marketing analytics and attribution platform that was acquired by Google in May 2014.N/A
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
Pricing
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
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
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
Best Alternatives
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
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User Ratings
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
Likelihood to Recommend
6.3
(0 ratings)
1.0
(0 ratings)
User Testimonials
Attribution in Google AnalyticsNielsen Marketing Mix Modeling
Likelihood to Recommend
The very first point where Google Analytics is well suited is it's ease of implementation as it does not require a developer to integrate it with the source. The real time reporting is very beneficial. Accuracy (too many robot clicks) and missing information are areas where Google Analytics has a room for improvement.
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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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Pros
  • Data Dashboard.
  • Connects directly to Google Ads.
  • Can export data.
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  • Access to FB impressions.
  • TapAd device graph for stitching device ids to web cookies.
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Cons
  • There is a large learning curve for coming up to speed on ensuring proper setup, reviewing data sets, & understanding the user interface
  • custom reports take expertise to set up for all of our needs
  • default last-click attribution isn't what should be considered the standard. I would expect google's default to be more well-rounded
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  • 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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Alternatives Considered
GA is less user-friendly, and organizations with fewer resources benefit from more intuitive platforms.
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VisualIQ is 1 of 2 partners only that have access to FB impressions.
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Return on Investment
  • giving more insight into our ROI
  • i can trust what i see in GA
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  • 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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