Mutiny vs. Sizebay

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mutiny
Score 9.6 out of 10
N/A
Mutiny is a no-code AI platform that helps marketers convert their top of funnel demand into revenue, without engineers. Mutiny gives marketers data and analytics, as well as AI-powered recommendations and content writing. Mutiny states they are backed by Sequoia Capital, YCombinator and CMOs from tech companies including AngelList, Carta, Gong, Hopin, Salesforce and Snowflake.N/A
Sizebay
Score 0.0 out of 10
Small Businesses (1-50 employees)
Sizebay offers a Virtual Fitting Room that helps e-commerces increase Conversion Rates and Average Order Value delivering a better online shop experience. The fitting tool uses consumer data like weight, height, and age to estimate body measurements and suggest a proper size recommendation. Its algorithms are built with precise anthropometry models to understand and personalize recommendations to every kind of body.N/A
Pricing
MutinySizebay
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
MutinySizebay
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup fee$200 per installation
Additional Details
More Pricing Information
Community Pulse
MutinySizebay
Top Pros

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Top Cons

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Best Alternatives
MutinySizebay
Small Businesses
Bloomreach Commerce Experience Cloud
Bloomreach Commerce Experience Cloud
Score 8.7 out of 10
Bloomreach Commerce Experience Cloud
Bloomreach Commerce Experience Cloud
Score 8.7 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MutinySizebay
Likelihood to Recommend
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
MutinySizebay
Likelihood to Recommend
Mutiny
B2B website optimization is where Mutiny shines. However, you would need a certain level of traffic to justify the investment. Mutiny currently does not support outside the web like in-app and it's also not made for B2C. There are other experimentation tools out there that are a better fit for those areas.
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Sizebay
No answers on this topic
Pros
Mutiny
  • B2B Personalization. Many out-of-the-box audience segmentation options as well as integration options with tools like 6sense, Clearbit, Salesforce, Marketo, HubSpot, and Segment.
  • No need for engineering resources. Their simple, yet powerful visual experience editor as well as out-of-the-box functionalities like banners, side pops, survey modals and exit-intent modals let you create experiences without engineering.
  • Segment analyzer. They automatically suggest to you which segments have a high potential for improvement and recommend you a playbook from another Mutiny client to execute on successful use cases.
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Sizebay
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Cons
Mutiny
  • The reporting functionalities are limited and it's hard to do a deep dive.
  • Occasional bugs but nothing too major. Their support team is great to help resolve issues quickly.
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Sizebay
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Alternatives Considered
Mutiny
Mutiny makes it much simpler to execute personalization activities and A/B tests compared to big names out there like Optimizely and Adobe Target. The Mutiny team specifically tackled that hurdle that many marketers face when using these kinds of tools. They honed in on executing the "without the need for engineering" pieces. Note that Optimizely and Target both have WYSIWIG functionalities as well, it's just that Mutiny makes it easier to make changes, even with some AI-suggested copy recommendations. That being said, Optimizely and Adobe Target have more advanced features for A/B testing and AI/ML decision-making.
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Sizebay
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Return on Investment
Mutiny
  • Leads for our biggest target segment has more than doubled on the homepage.
  • We were able to add 100+ leads per month through their out of box banner feature.
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Sizebay
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ScreenShots

Sizebay Screenshots

Screenshot of First, the consumer gives us data such as weight, height, and age. Then, we ask how his mass body is distributed.Screenshot of With this data, our algorithm based on anthropometry (not statistical) estimates the body measurements of the person and merge this with the product measurements table to make a precise recommendation.