We detected 1,680 customers using Optimizely Web Experimentation, 448 companies that churned or ended their trial, and 60 customers with estimated renewals in the next 3 months. The most common industry is Retail (11%) and the most common company size is 51-200 employees (22%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Optimizely Web Experimentation scripts on their site and may not include users with server-side or self-hosted deployments.
About Optimizely Web Experimentation
Optimizely Web Experimentation enables businesses to run A/B tests, multivariate experiments, and multi-armed bandit tests on their websites to optimize digital experiences and increase conversions. The platform provides a visual editor for creating test variations without code, advanced audience targeting, automated traffic distribution, and statistical analysis to identify winning variations.
🔧 What other technologies do Optimizely Web Experimentation customers also use?
Source: Analysis of tech stacks from 1,680 companies that use Optimizely Web Experimentation
Commonly Paired Technologies
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Shows how much more likely Optimizely Web Experimentation 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 companies using Optimizely Web Experimentation are sophisticated digital marketers running mature, data-driven operations. The strong correlation with consent management platforms, audience segmentation tools, and programmatic advertising tells me these are companies obsessing over personalization at scale. They're likely mid-market to enterprise businesses with substantial digital revenue that justifies investing in optimization infrastructure.
The pairing with OneTrust Consent Management appearing in 434 companies makes perfect sense because serious experimentation requires serious data governance. These companies are testing across multiple regions and need to balance personalization with privacy compliance. The connection to Adobe Audience Manager and TheTradeDesk reveals a clear workflow: they're segmenting audiences, running experiments to understand what resonates, then activating those learnings through programmatic advertising. Movable Ink's appearance, despite the smaller sample size, is particularly telling. It suggests these companies are extending their testing mindset beyond web pages into email, treating every customer touchpoint as an optimization opportunity.
The full stack screams marketing-led growth with significant technical resources. These aren't scrappy startups running simple A/B tests. They're established companies, probably post-Series C or revenue-stage, with dedicated conversion optimization teams. The presence of Contentful indicates they've moved beyond monolithic CMSs to headless architectures, giving them the flexibility to test and personalize across channels. This level of infrastructure investment suggests companies generating at least eight figures in digital revenue.
👥 What types of companies is most likely to use Optimizely Web Experimentation?
Source: Analysis of Linkedin bios of 1,680 companies that use Optimizely Web Experimentation
Company Characteristics
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Shows how much more likely Optimizely Web Experimentation 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
Company Size: 5,001-10,000
19.3x
Industry: Restaurants
14.4x
Funding Stage: Series unknown
9.2x
Company Size: 1,001-5,000
7.2x
Industry: Food and Beverage Services
6.8x
Industry: Spectator Sports
6.6x
I noticed that Optimizely Web Experimentation attracts companies primarily focused on direct consumer engagement through digital channels. These aren't abstract B2B software companies. They're retailers selling clothing and furniture, banks and financial services providers managing customer accounts, healthcare organizations scheduling patients, restaurants taking orders, and subscription-based services. What unites them is the need to convert website visitors into customers or guide existing customers through digital experiences. They're operating in competitive spaces where small improvements in conversion rates directly impact revenue.
These are predominantly established, mature companies rather than early-stage startups. I counted numerous organizations with 500+ employees, many operating for decades (Byrd Cookie Company since 1924, GEERS for over 70 years, Fjällräven since 1960). The funding data shows many have no recent venture funding, and several are public companies or divisions of larger corporations. The presence of multi-location retail chains, international operations, and substantial employee counts signals these are companies with proven business models now focused on optimization rather than validation.
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