We detected 413 companies using Listrak, 82 companies that churned, and 5 customers with upcoming renewal in the next 3 months. The most common industry is Retail (42%) and the most common company size is 51-200 employees (31%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
📊 Who usually uses Listrak and for what use cases?
Source: Analysis of job postings that mention Listrak (using the Bloomberry Jobs API)
Job titles that mention Listrak
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Based on an analysis of job titles from postings that mention Listrak.
Job Title
Share
Marketing Automation Specialist
43%
Email Marketing Manager
15%
CRM Manager/Specialist
12%
Director of Marketing Operations
10%
My analysis shows that Listrak buyers are predominantly marketing leaders, with Directors of Marketing Operations and CRM representing the core decision-makers. These leaders are focused on building sophisticated customer retention programs and driving revenue through owned channels. The strategic priorities reveal a clear shift away from discount-driven tactics toward engagement-based growth, with multiple postings emphasizing the need to "reduce reliance on continuous discounting" and build "content-led and journey-based engagement strategies."
The day-to-day users are Marketing Automation Specialists and Email Marketing Managers who execute campaigns across email, SMS, and direct mail. They spend their time building audience segments, coding HTML emails, managing testing calendars, and deploying automated lifecycle journeys. I noticed these practitioners are deeply involved in technical work like "building emails from templates and HTML" and "managing deliverability, compliance, segmentation strategy, and list health" while also collaborating with creative, merchandising, and analytics teams.
The pain points center on three areas: driving measurable ROI from retention marketing, creating personalized customer experiences at scale, and proving the business value of CRM investments. Companies are seeking candidates who can "drive measurable improvements in repeat purchase rate" and "turn data into strategy" while managing complex MarTech stacks. One posting specifically noted the need to "harmonize tracking with broader business objectives and deliver best in class data capabilities," revealing frustration with disconnected systems and unclear attribution.
👥 What types of companies use Listrak?
Source: Analysis of Linkedin bios of 413 companies that use Listrak
I noticed that Listrak's typical customers are primarily retailers and consumer product companies selling physical goods directly to consumers. These aren't software companies or service providers. They're businesses moving tangible products: women's apparel brands like Title Nine and MATT & NAT, firearms manufacturers like KelTec and Davidson's, beauty companies like Pacifica and Anastasia Beverly Hills, home goods retailers like abc carpet & home, and sporting goods suppliers. Many operate both physical stores and e-commerce sites, creating an omnichannel retail presence.
These are established, mature businesses rather than early-stage startups. The signals are clear: most have been operating for decades (Hamrick's since 1945, Stanley Steemer for 75 years, Crayola since 1903), they employ substantial workforces ranging from 50 to several thousand people, they operate multiple physical locations, and they mention distribution centers and manufacturing facilities. Very few show recent venture funding. These are profitable, operational businesses focused on growth and optimization, not companies seeking product-market fit.
🔧 What other technologies do Listrak customers also use?
Source: Analysis of tech stacks from 413 companies that use Listrak
Commonly Paired Technologies
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Shows how much more likely Listrak 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 Listrak users are clearly mid-market to enterprise e-commerce retailers with sophisticated fraud prevention and customer experience priorities. The combination of tools points to companies running high-volume online stores that need to balance growth with security and conversion optimization.
The pairing with Forter and Signifyd is particularly revealing. These are premium fraud prevention platforms that companies only invest in when they're processing serious transaction volume and dealing with chargebacks that hurt their bottom line. When I see these alongside Listrak, it tells me these retailers have moved past basic payment processing concerns and are focused on protecting revenue at scale. BrainTree fits this pattern too, serving as a payments platform that handles complexity beyond simple checkout. The presence of SearchSpring and Power Reviews shows these companies are also heavily invested in the shopping experience itself. They're not just driving traffic, they're optimizing every step of the customer journey to maximize conversion rates.
My analysis suggests these are marketing-led organizations, but with mature operations teams supporting them. They're past the scrappy startup phase and into systematic optimization of their e-commerce engine. The investment in tools like Noibu for error monitoring indicates they have the budget and sophistication to care about technical issues that might lose them sales. These aren't companies guessing about what works. They're measuring, testing, and refining constantly.
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