Websites using Fit Analytics
Total websites using Fit Analytics is 49
Okay, let s break down Fit Analytics, covering its overview, revenue (as much as publicly available), alternatives, pricing, and customer care details.
Overview
Fit Analytics (now known as Sizebay by Snap) is a personalized size recommendation platform. Its core function is to help online shoppers find the right size when buying clothing and footwear, aiming to reduce returns, increase conversion rates, and improve customer satisfaction. They do this using data-driven algorithms that consider body measurements, past purchases, and product information. It was acquired by Snap Inc. (the parent company of Snapchat) in March 2021. Snap Inc. rebranded it to Sizebay.
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Key Features:
- Size Advisor: Recommends the best size based on the shopper s information.
- Virtual Fitting Room: Allows shoppers to compare garment measurements with their own or similar items.
- Data Analytics: Provides insights into sizing trends, return rates, and customer behavior to help retailers optimize their product offerings.
- Integration: Works with e-commerce platforms like Shopify, Magento, Salesforce Commerce Cloud, and others.
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Target Audience: Online fashion and apparel retailers.
Revenue
Unfortunately, precise revenue figures for Sizebay by Snap are not publicly available. Since it is part of a larger publicly traded company (Snap Inc.), its financials are bundled within Snap s overall earnings reports, and specific revenue breakdowns for individual acquisitions like Fit Analytics/Sizebay are not typically disclosed. Before the acquisition, Fit Analytics was a venture-backed startup, so some historical revenue estimates may exist in older articles, but those are unlikely to be accurate today.
Alternatives
Several companies offer similar size recommendation solutions. Here are some prominent alternatives to Sizebay:
- 3DLOOK: Uses body scanning technology (smartphone camera) to gather accurate body measurements and provides size recommendations. Focused on personalization and visual representation.
- Virtusize: Helps shoppers compare garment sizes and fit across different brands and items. Relies on a community-driven database of product measurements.
- True Fit: One of the largest and most established players in the size recommendation space. Uses a combination of customer data, product data, and machine learning to provide personalized size advice.
- Bold Metrics: Uses machine learning to predict body measurements from minimal customer input (e.g., height, weight). Focuses on reducing returns and improving the overall customer experience.
- WAIR: Offers a virtual fitting room experience and size recommendations. Focuses on visual appeal and ease of use.
- SIZEMO: Uses AI to help customers find the right size.
When evaluating alternatives, consider the following factors:
- Accuracy: How well does the solution predict the right size?
- Integration: How easily does it integrate with your e-commerce platform?
- Data Privacy: How does the solution handle customer data and privacy?
- Cost: What is the pricing model, and how does it scale with your business?
- User Experience: How easy is it for shoppers to use?
- Features: What specific features are offered (e.g., virtual fitting room, data analytics)?
Pricing
Again, precise pricing details for Sizebay by Snap are not publicly available. Size recommendation solutions often use one of the following pricing models:
- Subscription-based: A recurring monthly or annual fee.
- Usage-based: Pricing based on the number of recommendations served or transactions processed.
- Hybrid: A combination of subscription and usage-based fees.
- Custom Enterprise Pricing: Tailored pricing for larger retailers with specific needs.
To get an accurate quote, you ll need to contact Sizebay directly and discuss your specific requirements. In general, these solutions cater to enterprise businesses, and their pricing is based on custom quotes.
Customer Care Details
Since the acquisition by Snap Inc. and rebrand to Sizebay, finding specific customer care details dedicated solely to Sizebay can be a bit challenging. The best approach is to:
- Visit the Snap Inc. Website: Look for sections related to developer support, business solutions, or advertising. These areas may have contact information for Sizebay-related inquiries.
- Contact Snap Inc. Support: Use Snap Inc. s general support channels and specify that your inquiry relates to Sizebay.
- Reach Out to Your Snap Inc. Account Manager (if applicable): If you re an existing Snap Inc. customer, your account manager can likely connect you with the appropriate Sizebay support resources.
- Check the Sizebay documentation for contact details: They might have a separate support email or contact form.
Before the acquisition, Fit Analytics was a separate company, and it was easier to find direct support contact details. Post-acquisition, support is handled through Snap Inc. s infrastructure.
When contacting support, be prepared to provide:
- Your company name
- A clear description of your issue
- Any relevant screenshots or error messages
- Your contact information
In summary: Sizebay by Snap is a size recommendation platform designed to help online retailers reduce returns and improve customer satisfaction. While precise financial and customer care details can be hard to find, exploring Snap Inc. s business support channels is the best way to get assistance. Remember to compare Sizebay with alternatives to find the best fit for your specific needs.
Download free leads for websites using Fit Analytics
Website | Traffic | Tech Spend | Contacts | Social |
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11teamsports.cz | medium | $250-$630 | ![]() ![]() |
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11teamsports.es | medium | $230-$590 | ![]() ![]() |
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11teamsports.pl | medium | $230-$580 | ![]() ![]() |
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11teamsports.sk | medium | $240-$590 | ![]() ![]() |
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cottontraders.com | medium | $200-$510 | ![]() |
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aritzia.com | medium | $170-$430 | ![]() ![]() |
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opus-fashion.com | high | $80-$210 | - | ![]() ![]() |
pedrodelhierro.com | high | $90-$230 | ![]() |
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dnsadguard.co.uk | high | $5820-$14560 | - | - |
doh.best | high | $5820-$14540 | - | - |
alltricks.com | medium | $200-$500 | - | ![]() ![]() ![]() |
alltricks.es | high | $230-$570 | - | ![]() ![]() ![]() |
alltricks.fr | high | $250-$620 | - | ![]() ![]() ![]() |
alltricks.it | high | $220-$550 | - | ![]() ![]() ![]() |
potterybarn.com.mx | high | $300-$760 | ![]() |
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potterybarnkids.com.mx | high | $240-$600 | ![]() |
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princesspolly.co.uk | medium | $650-$1640 | - | ![]() ![]() |
princesspolly.com | medium | $770-$1930 | - | ![]() ![]() |
princesspolly.com.au | high | $780-$1950 | - | ![]() ![]() |
go-sport.com | high | $110-$290 | - | - |
lilysilk.com | high | $430-$1070 | ![]() ![]() |
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ray.st | high | $7010-$17540 | ![]() |
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floyd.no | high | $150-$380 | ![]() ![]() |
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bluemood.me | medium | $5820-$14560 | - | - |
boje8.me | high | $5640-$14090 | - | - |
sbdns.co.in | medium | $5820-$14560 | - | - |
cea.com.br | high | $350-$870 | - | ![]() ![]() ![]() |
seasaltcornwall.com | medium | $240-$600 | - | ![]() ![]() ![]() |
gobicashmere.com | high | $150-$370 | - | ![]() ![]() ![]() |
universalstandard.com | medium | $270-$680 | ![]() ![]() |
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sizefox.com | medium | $450-$1130 | - | ![]() ![]() |
casual-fashion.com | high | $90-$220 | - | ![]() ![]() |
someday-fashion.com | medium | $80-$210 | - | ![]() ![]() |
top4running.com | medium | $250-$630 | ![]() ![]() |
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top4running.cz | high | $270-$670 | ![]() ![]() |
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laboutiqueofficielle.com | high | $170-$420 | - | ![]() ![]() |
seasaltcornwall.co.uk | medium | $280-$710 | - | ![]() ![]() ![]() |
madhappy.com | high | $550-$1390 | ![]() ![]() |
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mainlinemenswear.com | high | $310-$790 | - | ![]() ![]() ![]() |
westelm.com.mx | high | $310-$770 | ![]() |
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williams-sonoma.com.mx | high | $300-$760 | ![]() |
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cottontraders.co.uk | medium | $200-$510 | ![]() |
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slowear.com | medium | $160-$400 | ![]() ![]() |
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bananarepublic.com.mx | medium | $220-$560 | ![]() |
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49 websites using Personalisation and Fit Analytics. Download full list of 49 customers and clients who use Fit Analytics. 49 customers using Machine learning and Fit Analytics.
Use this data and enrich with any of the email finders and start sending cold emails to get targetted leads. Any customers who are already using a similar technology are sure shot customers who just need a better option.