Snap Pixel is a tool available for use in advertising services. Its user base mainly comprises advertisers. It is a JS code available for use on websites. It accurately tracks Snapchat user actions and provides reliable information to Snap Pixel users. It provides the benefit of measurement, optimization and building of audiences for the purpose of high-quality ad campaigns. Snap Pixel provides insights in real time to its users. It is designed to be easy to deployment. It is known for its custom integrations for top platforms such as Shopify, BigCommerce, Google Tag Manager and Ensighten.
15,758
websites using Snap Pixel
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Websites using Snap Pixel by countrymarket share · top 8 countries
🇺🇸United States
🇬🇧United Kingdom
🇮🇳India
🇫🇷France
🇦🇺Australia
🇨🇦Canada
🇦🇪United Arab Emirates
🇩🇪Germany
0%5%10%15%20%
Websites using Snap Pixel by industrydetected industries
Fashion & Beauty45%
Shopping35%
Food & Drink7.5%
Health & Fitness6.9%
Sports3.3%
Technology & Computing2.4%
Websites using Snap Pixel
showing 25 of 15,758| Website | Country | Industry | Size | Founded | |
|---|---|---|---|---|---|
| 🇮🇳IN | Hardware & Electronics | 501-1000 | 2016 | ||
| 🇵🇰PK | Fashion & Beauty | 10001+ | 1990 | ||
| 🇮🇳IN | Fashion & Beauty | 11-50 | 2022 | ||
| 🇧🇪BE | Shopping | 201-500 | 2016 | ||
| 🇺🇸US | Fashion & Beauty | 51-200 | 1993 | ||
| 🇬🇧GB | Shopping | 201-500 | 2016 | ||
| 🇺🇸US | Fashion & Beauty | 51-200 | 2014 | ||
| 🇺🇸US | Fashion & Beauty | 501-1000 | 2007 | ||
| 🇬🇧GB | Fashion & Beauty | 11-50 | 2003 | ||
| 🇫🇷FR | Fashion & Beauty | 11-50 | 1996 | ||
| 🇬🇧GB | Shopping | 501-1000 | 2012 | ||
| 🇺🇸US | Shopping | 201-500 | 2017 | ||
| 🇨🇳CN | Hardware & Electronics | 201-500 | 2015 | ||
| 🇺🇸US | Fashion & Beauty | 51-200 | 1994 | ||
| 🇵🇰PK | Shopping | 1001-5000 | 2010 | ||
| 🇺🇸US | Shopping | 1001-5000 | 1990 | ||
| 🇵🇰PK | Shopping | 1001-5000 | - | ||
| 🇺🇸US | Fashion & Beauty | 51-200 | 2011 | ||
| 🇺🇸US | Technology & Computing | 51-200 | 2021 | ||
| 🇺🇸US | Fashion & Beauty | 201-500 | 2021 | ||
| 🇺🇸US | Fashion & Beauty | 1001-5000 | 2006 | ||
| 🇺🇸US | Fashion & Beauty | 1001-5000 | 1920 | ||
| - | Fashion & Beauty | 1-10 | - | ||
| 🇺🇸US | Health & Fitness | 1-10 | - | ||
| 🇮🇳IN | Fashion & Beauty | 201-500 | 2013 |
Showing 25 of 15,758 websitesGet the full list →
Frequently asked
What is Snap Pixel?›
Snap Pixel is a tracking tool designed for businesses and advertisers using Snapchat advertisements. It allows you to measure the effectiveness of your ads by tracking user actions, such as purchases or sign-ups, on your website after viewing or engaging with your ad on Snapchat.
How does Snap Pixel work?›
Snap Pixel works by placing a small piece of JavaScript code on your website. When a user visits your site after interacting with your ad on Snapchat, this code communicates with Snapchat, providing valuable insights and data about the user's actions on your website for conversion tracking and retargeting purposes.
Why would businesses benefit from using Snap Pixel?›
By using Snap Pixel, businesses can gain valuable insights into their Snapchat ad campaigns' performance, optimize ad targeting, and improve their return on investment (ROI). It allows advertisers to track user actions on their website, enabling them to measure the effectiveness of their ads and make data-driven decisions to enhance their marketing strategies.
Is Snap Pixel compatible with all web browsers?›
Yes, Snap Pixel is designed to work seamlessly across all popular web browsers such as Google Chrome, Mozilla Firefox, Apple Safari, Microsoft Edge, and more. However, it may not work effectively on older browsers with limited JavaScript support or when a user has disabled JavaScript or blocks third-party cookies.
Are there any limitations to using Snap Pixel?›
While Snap Pixel is a powerful tool for tracking conversions and gaining insights into your ad campaigns, it does require adding JavaScript code to your website, which might be a challenge for some users with limited technical knowledge. In addition, ad-blocking software and browser privacy settings might sometimes hinder accurate tracking of user interactions, limiting its effectiveness in certain scenarios.
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