Companies that use Sift

Source: Analysis of tech stacks from 259 companies that use Sift

I noticed that Sift users are predominantly digital-first, transaction-heavy companies that need sophisticated fraud prevention while maintaining seamless customer experiences. The strong correlation with Braze, a customer engagement platform, combined with fraud detection tools like HumanSecurity, tells me these are consumer-facing businesses processing high volumes of transactions where both security and user experience are critical. They're likely in e-commerce, fintech, travel, or marketplace verticals where a single fraudulent transaction can be costly, but friction in the checkout process directly impacts conversion rates.

The pairing of Sift with Braze makes perfect sense because these companies need to communicate with users in real-time, often sending transactional messages, security alerts, or personalized campaigns based on user behavior. The presence of Tealium CDP alongside these tools suggests they're collecting customer data from multiple touchpoints and need to unify that information to make better fraud decisions while personalizing experiences. Datadog Real User Monitoring appearing so frequently indicates these companies obsess over performance metrics, which tracks with businesses where milliseconds of latency can mean lost revenue. Impact, an affiliate and partnership management platform, suggests many of these companies run complex partner ecosystems where fraud is particularly tricky to manage.

The full stack reveals growth-stage companies that are marketing and product-led rather than enterprise sales-led. They've moved beyond basic tools and are investing in best-of-breed solutions for specific problems. They're sophisticated enough to integrate multiple systems and likely have dedicated fraud, growth, and engineering teams.

Source: Analysis of Linkedin bios of 259 companies that use Sift

I noticed that Sift's customers span a remarkably diverse range of commerce-focused businesses. These companies primarily operate in retail, e-commerce, entertainment, food and beverage, travel, and financial services. What unites them is that they all handle direct-to-consumer transactions, whether selling mattresses and furniture online, processing event tickets, managing food delivery, or facilitating crypto trades. Many run marketplace platforms that connect buyers with sellers, like Vestiaire Collective for pre-loved fashion or Outdoorsy for RV rentals.

These companies cluster around the scaling growth phase. I see Series C and D funding rounds, employee counts typically in the 50-500 range, and revenue milestones suggesting they've found product-market fit and are expanding rapidly. Companies like Wayfair and DraftKings represent the mature enterprise end, while many others show classic hypergrowth signals: international expansion, multiple funding rounds, and rapidly growing customer bases in the millions.