Google offers the Optimize A/B testing tool for testing website content and versions.
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Nielsen Marketing Cloud
Score 7.6 out of 10
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Neilsen Marketing Cloud includes a Data Management Platform (DMP), Media Planning and Optimization, Data as a Service (DaaS), Multitouch Attribution Analytics, Inflight Analytics, and integrations to different digital media channels as well as to content marketing, creative testing, search, email and social media platforms. It's designed to enable marketers to plan, execute, and report on all of their marketing activities from one place.
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Pricing
Google Optimize
Nielsen Marketing Cloud
Editions & Modules
Google Optimize
Free
No answers on this topic
Offerings
Pricing Offerings
Google Optimize
Nielsen Marketing Cloud
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Optimize
Nielsen Marketing Cloud
Features
Google Optimize
Nielsen Marketing Cloud
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Optimize
4.9
8 Ratings
52% below category average
Nielsen Marketing Cloud
-
Ratings
a/b experiment testing
4.08 Ratings
00 Ratings
Split URL testing
2.08 Ratings
00 Ratings
Multivariate testing
4.08 Ratings
00 Ratings
Multi-page/funnel testing
1.06 Ratings
00 Ratings
Cross-browser testing
6.44 Ratings
00 Ratings
Mobile app testing
2.72 Ratings
00 Ratings
Test significance
1.07 Ratings
00 Ratings
Visual / WYSIWYG editor
3.07 Ratings
00 Ratings
Advanced code editor
2.07 Ratings
00 Ratings
Page surveys
5.02 Ratings
00 Ratings
Visitor recordings
10.01 Ratings
00 Ratings
Preview mode
3.06 Ratings
00 Ratings
Test duration calculator
9.03 Ratings
00 Ratings
Experiment scheduler
7.05 Ratings
00 Ratings
Experiment workflow and approval
8.93 Ratings
00 Ratings
Dynamic experiment activation
6.92 Ratings
00 Ratings
Client-side tests
7.04 Ratings
00 Ratings
Server-side tests
2.62 Ratings
00 Ratings
Mutually exclusive tests
8.02 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Google Optimize
7.0
8 Ratings
22% below category average
Nielsen Marketing Cloud
-
Ratings
Standard visitor segmentation
6.08 Ratings
00 Ratings
Behavioral visitor segmentation
7.06 Ratings
00 Ratings
Traffic allocation control
8.07 Ratings
00 Ratings
Website personalization
7.07 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Google Optimize
8.2
8 Ratings
5% below category average
Nielsen Marketing Cloud
-
Ratings
Heatmap tool
2.01 Ratings
00 Ratings
Click analytics
9.03 Ratings
00 Ratings
Scroll maps
9.02 Ratings
00 Ratings
Form fill analysis
8.01 Ratings
00 Ratings
Conversion tracking
9.06 Ratings
00 Ratings
Goal tracking
8.07 Ratings
00 Ratings
Test reporting
7.06 Ratings
00 Ratings
Results segmentation
10.04 Ratings
00 Ratings
CSV export
9.93 Ratings
00 Ratings
Experiments results dashboard
9.97 Ratings
00 Ratings
Data Collection
Comparison of Data Collection features of Product A and Product B
Google Optimize
-
Ratings
Nielsen Marketing Cloud
8.3
6 Ratings
2% above category average
Collection of first-party data
00 Ratings
8.56 Ratings
Collection of third-party data
00 Ratings
8.55 Ratings
Access to Third-party Data Providers
00 Ratings
7.95 Ratings
Data Classification
Comparison of Data Classification features of Product A and Product B
Google Optimize
-
Ratings
Nielsen Marketing Cloud
8.6
6 Ratings
4% above category average
Audience taxonomy
00 Ratings
8.26 Ratings
Tag Management
00 Ratings
8.25 Ratings
Data Analysis Dashboard
00 Ratings
9.46 Ratings
Ad Network Integration
Comparison of Ad Network Integration features of Product A and Product B
Google Optimize
-
Ratings
Nielsen Marketing Cloud
7.9
5 Ratings
1% below category average
Data Transfer
00 Ratings
7.95 Ratings
DSP integration
00 Ratings
7.95 Ratings
DMP Analytics
Comparison of DMP Analytics features of Product A and Product B
It is a little too limited for a full stack experimentation programme. Many times we required development support or tech advise but we were simply unable to get this due to it being google. This was a big problem for us. However it is quite good if you were looking to get started in experimentation and didn’t have the budgets for a wider tool
Best suited for scenarios involving detailed analysis of customer data and demographics. Allows for complex investigation of customer and audience details. Less well suited for scenarios involving simultaneous collaboration on analysis. This product is not the best for collaboration and is better suited for individual work and individual forms of analysis.
Easy to follow set up procedures. Once I walk a client through the process, it's effortless for them to emulate on subsequent tests.
Lots of geo and user attribute customization features to be able to drill down into specific targeted audiences — all based on the power of Google's immense data system.
Google Optimize is the logical choice for many people to start with since most are already familiar with and using GA.
I just like the manner it handles the analytical rationalization of giving a standing and updates of the inner and outside beliefs of Marketing analysis.
It facilitates me apprehend clients' desires and offers advice on a way to fulfill their desires.
When I am making plans and instinctually recognise what purchasers are going to purchase, I depend upon their real-time records to validate my assumptions and tell our media buys.
Automatic rewards with the media Connections. The availability of records and the alternatives to make our customer's picks understandable.
More segments need to be created as often as possible
Sometimes it is hard to optimize these segments when the CTR is low - segments make it difficult to pull out zones/sites that are dragging down the CTR because they are so narrowly targeted.
Google Optimize being part of the Google stack makes it great in reporting and analysis. Wish Google would add more features like dynamic tests, multi funnel tests, conversion calculator based on the total number of traffic of the page being tested instead of using the websites total traffic. Should integrate form analysis, heatmap, and page analytics.
Nielson Cloud helps businesses find, recruit, and create new advertiser client bases, as well as stand out in a crowded public space. Measure linear and digital media metrics across channels aids in giving insights in an efficient manner. Nielson Cloud also assists businesses in maximising ROI by analysing how their marketing and advertising reaches and influences audiences throughout the customer lifecycle.
We are using it for analytics, statistics control, and for a single pane of glass and reviews for our senior leadership. We fetch significant insights from this device which can be then provided to our stakeholders to higher understand the achievements and loopholes.
We can make Marketing strategies with the help of this. Also, it is benefiting financially and getting productive.