We detected 1,495 customers using Forter, 63 companies that churned or ended their trial, and 37 customers with estimated renewals in the next 3 months. The most common industry is Retail Apparel and Fashion (31%) and the most common company size is 2-10 employees (32%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect customers with API-only implementations or using it in mobile apps only (edge cases)
About Forter
Forter provides identity intelligence and fraud prevention for digital commerce by using AI and machine learning to make real-time trust assessments across the entire buying journey, enabling brands to approve more legitimate transactions while blocking fraudsters and policy abusers.
๐ Who in an organization decides to buy or use Forter?
Source: Analysis of 100 job postings that mention Forter
Job titles that mention Forter
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Based on an analysis of job titles from postings that mention Forter.
Job Title
Share
Fraud Analyst/Investigator
26%
Risk Manager/Operations
18%
Product Manager
15%
Engineering Manager/Director
12%
My analysis shows that Forter buyers span both technical and business leadership roles. While fraud analysts and investigators make up 26% of hiring, the purchasing decisions appear to come from risk managers (18%), product managers (15%), and engineering leaders (12%). These buyers are focused on scaling fraud prevention infrastructure while maintaining customer experience. One posting explicitly seeks someone to manage relationships with vendors like Forter, while another mentions hands-on experience with Forter as a required skill, indicating the platform requires dedicated expertise to maximize value.
The day-to-day users are primarily fraud analysts, chargeback specialists, and risk operations teams. I noticed these practitioners monitor real-time transactions, investigate suspicious patterns, tune fraud rules and models, and respond to chargebacks through Forter's interface. Several postings mention using Forter alongside other tools like Adyen and PayPal, suggesting it integrates into broader payment and risk technology stacks. Users need to balance fraud detection with minimizing false positives that hurt legitimate customers.
The core pain point is protecting revenue without degrading customer experience. Companies want to reduce financial leakage while preserving generous policies for good customers. One posting describes the challenge as detecting fraudulent behavior across a $180M portfolio while ensuring policies remain generous for good customers and resilient to bad actors. Another emphasizes the need to deliver fast, frictionless, and fun customer experiences while limiting system abuse. The recurring theme is using AI and machine learning to scale fraud defenses as digital commerce grows globally.
๐ง What other technologies do Forter customers also use?
Source: Analysis of tech stacks from 1,495 companies that use Forter
Commonly Paired Technologies
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Shows how much more likely Forter customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Forter users are clearly direct-to-consumer e-commerce brands with sophisticated digital operations. The presence of tools like Klaviyo, Attentive, and Dash Hudson tells me these companies live and breathe customer engagement across email, SMS, and social media. They're not just selling products online, they're building relationships with consumers at scale and managing high transaction volumes where fraud prevention becomes critical.
The pairing of Forter with Loop Returns is particularly revealing. Companies processing enough returns to need dedicated software are dealing with substantial order volumes, and returns are a major fraud vector in e-commerce. Similarly, Nuorder appearing 552 times more often suggests many Forter users are wholesale brands managing both B2B and DTC channels. Rakuten Advertising's strong correlation indicates these companies are running affiliate and partnership programs, expanding their customer acquisition beyond owned channels. When you're driving traffic from multiple sources and partners, fraud risk multiplies, making Forter's protection essential.
My analysis shows these are marketing-led organizations in growth or scale-up stages. The combination of Klaviyo for email automation, Attentive for SMS, and Dash Hudson for social media management points to companies investing heavily in retention marketing and customer lifetime value optimization. They're not early-stage startups experimenting with basic tools, nor enterprise companies with custom-built everything. They're mid-market to upper mid-market brands that have found product-market fit and are scaling their customer acquisition and retention engines aggressively.
๐ฅ What types of companies is most likely to use Forter?
Source: Analysis of Linkedin bios of 1,495 companies that use Forter
Company Characteristics
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Shows how much more likely Forter customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Retail Apparel and Fashion
50.4x
Industry: Apparel & Fashion
40.3x
Funding Stage: Private equity
28.1x
Industry: Retail Luxury Goods and Jewelry
27.7x
Funding Stage: Series unknown
10.9x
Company Size: 1,001-5,000
5.9x
I noticed that Forter's customers are predominantly consumer-facing brands that sell physical products directly to shoppers, either through e-commerce platforms or omnichannel retail operations. These companies span fashion and apparel (from luxury brands like Balmain and Aquazzura to accessible retailers like Primary.com), beauty and cosmetics (Tarte, Laura Mercier, Patrick Ta Beauty), footwear (Blundstone, Timberland, Paradox London), jewelry and accessories, home goods, sporting equipment, and specialty retail. What unites them is that they're all processing online transactions and managing digital storefronts where fraud prevention is critical.
These companies range from established players to growth-stage brands, but most sit in a middle zone. I see heritage brands with decades of history (Blundstone since 1870, Borsalino since 1857, Toys"R"Us Japan) alongside newer direct-to-consumer brands founded in the 2010s (Blackbough Swim, Attersee, Planet Nusa). The funding signals are mixed, with some Series A/B companies, private equity backed brands, and many bootstrapped operations. Employee counts typically range from 10 to 500, suggesting mid-market companies experiencing growth.
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