Companies that use Full Story

Analyzed and validated by Henley Wing Chiu

Full Story We detected 2,441 customers using Full Story and 67 customers with upcoming renewal in the next 3 months. The most common industry is Retail (15%) and the most common company size is 11-50 employees (27%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

Note: We are unable to detect churned customers for this vendor, only new customers

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
BaBylissPRO 2–10 N/A US N/A 2026-01-19
Mobileye 1,001–5,000 Motor Vehicle Manufacturing IL +7.5% 2026-01-18
Glue Store 501–1,000 Retail AU -14.1% 2026-01-16
Rushbet 51–200 Gambling Facilities and Casinos CO N/A 2026-01-15
Mycon 51–200 Financial Services BR +5.2% 2026-01-14
Sonny's Enterprises Inc. - Conveyorized Car Wash Equipment Leader 1,001–5,000 Motor Vehicle Manufacturing US N/A 2026-01-14
Sunlover Reef Cruises 201–500 Entertainment Providers AU N/A 2026-01-11
ShipIn Systems 51–200 Maritime Transportation US +65.1% 2026-01-11
Covers & All AU 2–10 N/A AU N/A 2026-01-10
Program-Ace 51–200 Information Technology & Services CY -10.1% 2026-01-09
Hemlane 11–50 Real Estate US -9.8% 2026-01-06
Eberjey 51–200 Retail Apparel and Fashion US +4.3% 2026-01-06
BOOM! Power 11–50 Software Development AU +21.4% 2026-01-02
InMotion Hosting 201–500 Technology, Information and Internet US -10.1% 2025-12-31
Athena Ag, Inc. 11–50 Facilities Services US +38.2% 2025-12-24
pay.com.au 51–200 Financial Services AU +72% 2025-12-21
Modo Energy 51–200 Services for Renewable Energy GB +20.4% 2025-12-21
Osteogenics Biomedical, Inc. 51–200 Medical Device US +1.7% 2025-12-19
Philips Lifeline 501–1,000 Medical Equipment Manufacturing US -6.6% 2025-12-18
T.M.Lewin 11–50 Retail GB -2.2% 2025-12-17
Showing 1-20 of 2,441

Market Insights

🏢 Top Industries

Retail 332 (15%)
Software Development 310 (14%)
Financial Services 152 (7%)
Technology, Information and Internet 141 (6%)
IT Services and IT Consulting 67 (3%)

📏 Company Size Distribution

11-50 employees 640 (27%)
51-200 employees 568 (24%)
2-10 employees 522 (22%)
201-500 employees 227 (9%)
501-1,000 employees 159 (7%)

📊 Who usually uses Full Story and for what use cases?

Source: Analysis of 100 job postings that mention Full Story

Job titles that mention Full Story
i
Job Title
Share
Director of Product Management
18%
Director of Marketing
15%
Director of Customer Success/Experience
12%
Head of Product
10%
My analysis shows that FullStory buyers are predominantly product and digital experience leaders, with Directors of Product Management (18%), Directors of Marketing (15%), and Directors of Customer Success/Experience (12%) leading procurement decisions. These buyers are focused on digital transformation and customer journey optimization. Heads of Product (10%) and Directors of Analytics (8%) round out the leadership purchasing group, revealing that FullStory is a strategic investment in understanding user behavior across digital touchpoints.

Day-to-day users span a broader range of practitioners including UX researchers, product managers, digital analytics teams, and marketing operations professionals. These hands-on users leverage FullStory for session replay analysis, user journey mapping, conversion funnel optimization, and identifying friction points in digital experiences. The tool supports data-driven decision making across product development, marketing campaign measurement, and customer experience improvement initiatives.

The recurring pain points center on fragmented user insights and the need to understand the complete customer story. Job descriptions emphasize phrases like "articulate the full story across multiple streams of work," "understand and design for user behavior," and "drive data-driven decision-making to optimize performance." Companies are hiring to bridge the gap between quantitative metrics and qualitative understanding, seeking to "tell the full story" behind user actions and "ensure tracking and measurement of all full-funnel marketing activities."

👥 What types of companies is most likely to use Full Story?

Source: Analysis of Linkedin bios of 2,441 companies that use Full Story

Company Characteristics
i
Trait
Likelihood
Funding Stage: Series B
39.1x
Funding Stage: Series A
18.7x
Funding Stage: Debt financing
17.6x
Industry: Beverage Manufacturing
8.3x
Industry: Software Development
5.8x
Industry: Manufacturing
3.9x
I noticed Full Story attracts an incredibly diverse range of companies, from luxury hospitality brands like Marriott and The Ritz-Carlton to direct-to-consumer startups like Caraway Home and Wander. What unites them is a focus on digital customer experience. These are companies where the online journey matters intensely: e-commerce brands selling cookware and luggage, SaaS platforms managing shipping and payments, food delivery services, sports betting sites, and even traditional businesses like hotel chains that have invested heavily in their digital presence.

The company maturity spans dramatically. I see early-stage ventures like Clozers with 2 employees and $25K in pre-seed funding alongside massive enterprises like Marriott with 211,000 employees. However, the sweet spot appears to be growth-stage companies: Series A and B startups with 50-500 employees, plus established mid-market companies modernizing their digital operations. Even the large enterprises here (Pella, Colonial Life, Master Lock) emphasize innovation and digital transformation in their messaging.

🔧 What other technologies do Full Story customers also use?

Source: Analysis of tech stacks from 2,441 companies that use Full Story

Commonly Paired Technologies
i
Technology
Likelihood
2562.5x
219.1x
199.9x
83.3x
78.8x
21.3x
I noticed that Full Story users are predominantly SaaS companies with sophisticated digital customer experience strategies. The extremely high correlation with Segment (219x more likely) and the Full Story Enterprise tier tells me these are growth-stage B2B companies that have moved beyond basic analytics. They're investing in understanding the complete customer journey across their digital properties, not just tracking page views or conversion rates.

The pairing of Full Story with Segment makes perfect sense because these companies are collecting customer data from multiple sources and need to unify it. Full Story captures the behavioral layer (what users actually do), while Segment acts as the data pipeline to connect that insight with other tools. The strong presence of both Intercom products (Widget and Help Center) suggests these companies are using session replay data to improve their support operations. When a customer reaches out, support teams can literally watch what happened before the conversation started. The LinkedIn Ads correlation points to B2B targeting, where they're likely using Full Story insights to optimize their ad spend and landing page experiences for enterprise buyers.

My analysis shows these are solidly product-led growth companies with strong marketing operations. They're past the scrappy startup phase (hence the enterprise-tier tools) but still focused on optimizing digital conversion funnels rather than building large sales teams. The emphasis on self-service support through Intercom and data-driven product decisions through Full Story points to companies scaling revenue without proportionally scaling headcount.

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