Companies Using FullStory

As of our March 2026 crawl, TechnologyChecker.io tracks 78,461 domains running FullStory, with 30,914 enriched company profiles. FullStory sits in a strategically interesting position: it's a behavioral analytics platform that doesn't really compete with Google Analytics, it competes with Hotjar, Microsoft Clarity, and session replay tools. Here's what our data shows about who's using it and why.

Growth Trajectory

FullStory went from 31 active domains in December 2014 to a peak of 78,741 by April 2025. Growth was steady but modest through 2023, hovering around 12,000-13,000 domains. Then came a sharp inflection in mid-2024: active domains jumped from 13,343 in April to 73,677 by September. A 5.5x surge driven partly by expanded crawl coverage. Since peaking, usage has stabilized around 71,000-78,000. FullStory holds 0.32% market share in web analytics, ranking #21.

Sales Signal: The stabilization around 78K domains after the 2024 surge means FullStory's organic growth has plateaued. New customer acquisition isn't accelerating, but the installed base is large and sticky. Target existing FullStory users for complementary products rather than expecting rapid net-new growth.

"FullStory's 0.32% market share in web analytics is misleading. It doesn't compete with Google Analytics. In its actual category, behavioral analytics and session replay. It's one of the largest platforms we track."

Customer Profile

78.4% of companies have 1-10 employees, and combined with the 11-50 range, 89.5% are small businesses. But the percentages hide the real story: 147 companies with 10,001+ employees include Accenture, Siemens, Bank of America, Starbucks, Target, GE, PepsiCo, and Uber. These aren't test deployments. Costco alone runs FullStory across 10+ subdomains. Age-wise, 49.6% were founded in the 2010s and 16.6% in the 2020s, over two-thirds are digital-native companies less than 15 years old.

Sales Signal: The enterprise tail is where the revenue concentrates. The 147 companies with 10,001+ employees likely represent the majority of FullStory's ARR. When prospecting, filter for 201+ employee companies (3.6% of the base but disproportionately high-value) in software, retail, and financial services.

Industry and Geographic Concentration

Industry distribution is remarkably flat. Software Development leads at just 5.74%, followed by Retail (5.21%), Individual & Family Services (4.91%), Real Estate (4.12%), and Business Consulting (4.10%). No vertical exceeds 6%. The top 10 industries combined account for only 39.2% of enriched companies. This makes FullStory a genuinely horizontal platform.

Geographically, Germany dominates at 32.5% (9,924 companies), unusual for a US-headquartered SaaS tool. This concentration is driven by heavy overlap with Jimdo-hosted websites in our crawl data and likely represents lower-value free-tier accounts. The US accounts for 25.9% (7,915 companies), followed by France (7.4%), Switzerland (4.4%), and the Netherlands (3.3%). English-speaking markets represent about 36% of the enriched base, lower than typical for US-based analytics tools.

Sales Signal: The German concentration is a crawl artifact (Jimdo overlap), not genuine enterprise adoption. Focus outreach on the US (25.9%) and UK (2.5%) segments where FullStory deployments are more likely to be intentional, paid implementations. The low industry concentration means you can't build vertical-specific playbooks, use company size and tech stack as primary filters instead.

Migration Patterns

Migration data reveals a challenging dynamic. The largest inflow comes from Google Universal Analytics (13,464 companies) and Google Analytics (13,056). But outbound losses are larger: 19,268 companies left FullStory for Google Analytics and 14,145 moved to GA4. The GA gain-to-loss ratio is unfavorable at roughly 0.68:1, FullStory loses more companies to Google's free tools than it gains.

The Facebook Pixel migration shows a similar pattern: 2,924 gained vs. 8,431 lost. Sites consolidating their analytics stack tend to drop FullStory while keeping ad tracking active. This net-negative migration profile suggests FullStory faces ongoing pressure from free alternatives.

Sales Signal: The 0.68:1 loss ratio to Google Analytics means FullStory customers face constant internal pressure to consolidate on free tools. If you're selling to FullStory users. They're already paying for analytics. They've justified the budget. But position your pitch carefully: these companies are cost-aware and may be evaluating whether to keep paying for behavioral analytics at all.

"The net-negative migration against Google Analytics tells you something important: FullStory's value proposition needs to be obvious to survive budget reviews. Companies that keep it are making an active choice to pay for session replay and behavioral data."

Technology Ecosystem

Google Tag Manager (56.95%) and Google Analytics (56.12%) are near-universal companions, confirming FullStory is deployed alongside Google's suite, not replacing it. Microsoft Exchange Online (64.85%) signals corporate environments. PayPal (59.61%) and Stripe (13.49%) indicate significant ecommerce activity.

React adoption at 21.82% stands out. One in five FullStory customers runs a modern JavaScript application, not just a static marketing site. The Jimdo overlap at 60.12% explains the German concentration but represents lower-value accounts. Amazon hosting (78.4%) confirms cloud-native infrastructure across the customer base.

Sales Signal: The 21.82% React adoption identifies a high-value sub-segment. These are product teams building SPAs and complex web applications. They're FullStory's core use case for session replay and frustration detection. Filter for React + FullStory overlap to find product-led companies most likely to buy complementary developer tools.

G2 Review Signals

Across 197 G2 review mentions, users consistently praise helpful and responsive customer support (34 mentions) and ease of use (33 mentions). The top pain point: steep learning curve (18 mentions), followed by performance issues (13 mentions). There's an interesting contradiction here, ease of use and steep learning curve both rank highly. Our crawl data suggests the explanation: FullStory's basic session replay is easy to start with, but unlocking advanced features (custom events, API integrations, frustration scoring) requires significant ramp-up time. The G2 feedback aligns with the migration data: companies that invest in learning FullStory's advanced capabilities stay; those who don't eventually churn back to free tools.

Sales Signal: The 34-mention praise for customer support means FullStory users value vendor responsiveness. Match that expectation in your outreach. The 18-mention learning curve concern is your opening, if your product reduces complexity or integrates with FullStory's data, lead with the simplicity angle.

Key Takeaways

1. Market share undersells FullStory's position. The 0.32% figure compares it against Google Analytics. In behavioral analytics, its actual category. It's among the largest platforms.

2. Enterprise tail drives value. 89.5% are small businesses, but 147 companies with 10,001+ employees (Accenture, Starbucks, Bank of America) likely represent most of the revenue.

3. Net-negative migration against Google creates churn risk. The 0.68:1 GA loss ratio means FullStory users face constant pressure to consolidate on free tools.

4. German concentration is a crawl artifact. The 32.5% Germany share is driven by Jimdo overlap, not genuine enterprise adoption. Focus on US and UK segments.

Sales Applications

Outreach template: "We noticed [Company] runs FullStory alongside Google Analytics. Based on our data, companies in your size range often struggle with session replay complexity. Are you getting full value from FullStory's advanced features, or is it mostly basic replay?"

Targeting strategy: Filter for FullStory + React overlap, 51-500 employees, US-based, Software Development or Retail industry. That intersection identifies product-led companies actively using FullStory for its intended purpose, behavioral analytics on modern web applications.

Competitive angle: FullStory's net-negative migration means some users are reconsidering. If you sell analytics alternatives, target companies that recently added GA4 alongside FullStory, they may be in evaluation mode. If you sell complementary tools, emphasize integration depth to increase FullStory's stickiness.

Explore the full list of 78,461 companies using FullStory on TechnologyChecker.io, complete with firmographic enrichment, tech stack data, and migration patterns updated monthly.