Companies Using Optimizely

With over a decade in web crawling and technographic data analysis, I've spent the last year studying how experimentation platforms shape digital strategy for enterprise teams. This analysis draws on 13,219 enriched company profiles matched to Optimizely detections from our crawl of 50M+ domains, cross-referenced with G2 review data and Optimizely's own published case studies, as of our March 2026 crawl. Optimizely reported $400M in annual recurring revenue in May 2024, quadrupling its revenue in four years (per their press release). Here's what the data tells us.

1. Growth trajectory

Optimizely's adoption curve tells a story of three distinct phases. From its founding in 2009 by Dan Siroker and Pete Koomen (both ex-Google) to 2017, growth was steady but modest: 2 domains in October 2010 climbing to 4,394 by December 2017. The second phase, 2018-2020, brought the Episerver acquisition (Insight Partners had purchased Episerver for $1.16B in 2018) and subsequent rebranding. Active domains nearly doubled from 4,879 to 10,838 in that window. The third phase, late 2023 through 2024, saw the sharpest acceleration: active domains jumped from 13,008 in January 2023 to 24,413 in December 2024, an 87.7% increase in 24 months. This coincides with the launch of Optimizely One in late 2023, which drove 21% YoY growth in multiproduct ARR.

The recent pullback to 19,319 by July 2025 deserves attention. It could reflect seasonal crawl timing, but it's worth watching. Even at 19K, Optimizely's domain count still dwarfs every other pure-play personalization platform in our data. And the company's own numbers confirm the trajectory: 70,000+ experiments completed in 12 months (an 18.5% YoY increase) generating 390 billion test impressions, per their $400M ARR announcement.

"The 87% surge between 2023-2024 wasn't organic experimentation adoption alone. Optimizely's pivot from pure A/B testing to a full DXP pulled in entirely new buyer segments. The $400M ARR milestone confirms it: 52% of that revenue now comes from multi-product customers." - Mehmet Suleyman, CEO at TechnologyChecker.io

Sales Signal: The 2023-2024 acceleration means there's a wave of relatively new Optimizely customers still onboarding. These companies need implementation partners, training, and complementary tools. The recent deceleration also means some accounts may be re-evaluating, creating an opportunity for retention-focused services.

2. Customer profile

63.1% of Optimizely customers have 1-10 employees. That's the headline number, and it might seem surprising for a platform that works with 40% of Interbrand's Top 100 global brands (per Optimizely's own data). But dig deeper: every single company in our top 50 by LinkedIn employee count has 10,001+ employees. Deloitte, IBM, Siemens, Bank of America, FedEx, Starbucks, Nike, IKEA, Ford, Uber. The small-business majority likely reflects agencies, consultancies, and digital-native startups using Optimizely's experimentation snippet. The enterprise tail, while numerically smaller at 3.1% (10,001+), includes some of the world's most recognized brands.

Cross-referencing with Optimizely's own case studies confirms the enterprise positioning. L'Oreal runs 200+ experiments per year through their Luxe Division, with Kelly Jenkins (Director of Testing & Optimization) describing how they use Optimizely to "make every customer feel seen." Zillow reports 2-3X ROI from their Optimizely-powered experimentation program across 233 million monthly users. The Australian Red Cross achieved a 1,300% visitor increase after migrating to Optimizely One. These aren't small-business stories.

The age distribution adds context: 34% of customers were founded in the 2010s, but a notable 11.7% predate 1960. Companies like Takeda (founded 1781), Siemens (1847), and American Express (1850) show that even centuries-old institutions turn to Optimizely for digital experimentation.

Sales Signal: The dual market creates two distinct sales motions. For enterprise (10,001+), sell the full Optimizely One DXP with content, commerce, and experimentation. For the long tail of small businesses and agencies, the entry point is the experimentation snippet. Upsell paths from experimentation to CMS and commerce are the growth play.

3. Industry and geographic concentration

Retail leads at 10.64%, which makes intuitive sense: A/B testing product pages, checkout flows, and personalized recommendations is table stakes for modern ecommerce. But Photography at 6.49% and Motor Vehicle Manufacturing at 6.30% are more unusual. The automotive presence ties to major OEMs like Ford and BMW running Optimizely on configurator and dealer pages. Photography likely reflects a cluster of portfolio and stock image platforms.

Geographically, the 73.3% US concentration is higher than most enterprise tools in our database (typically 40-60%). Combined with the UK (6.1%), Canada (5.7%), and Australia (3.2%), English-speaking markets account for 88.3% of all enriched Optimizely customers. Spain (1.7%) and Germany (1.5%) are the largest non-English markets, but neither exceeds 2%.

Sales Signal: The heavy US skew means European and APAC markets are underserved. For sales teams targeting Sitecore CMS or Monetate customers in EMEA, Optimizely's localized offering (with offices in Stockholm, London, and Amsterdam) is an undertold story. The automotive vertical at 6.3% is an underexplored specialization opportunity.

4. Migration patterns

The Adobe Target corridor is the most significant migration flow in our data. 1,772 companies that previously used Adobe Target (combining Omniture Test and Target and Adobe Target Standard detections) now run Optimizely. Going the other direction, only 496 companies left Optimizely for Adobe Target, a 3.6:1 gain ratio in Optimizely's favor.

This migration corridor makes strategic sense. Adobe Target is bundled with Adobe Experience Cloud, which requires deep investment in the Adobe ecosystem. Companies that don't want full Adobe lock-in but need enterprise-grade experimentation find Optimizely a natural alternative. The 196 companies that came from Google Content Experiments (sunset in 2019) represent a historical migration wave that's now complete.

Outbound losses are spread thin. Movable Ink (262 lost), Zoho PageSense (112), and Sitecore CMS (179) each captured some Optimizely churners, but no single competitor dominates the outflow.

"The 3.6:1 gain ratio against Adobe Target isn't just about product preference. It reflects a broader market shift away from monolithic DXP suites toward best-of-breed experimentation tools that integrate via APIs." - Mehmet Suleyman, CEO at TechnologyChecker.io

Sales Signal: Companies still on Adobe Target are the highest-probability prospects for Optimizely. The migration corridor is well-established, implementation playbooks exist, and the gain ratio proves the product comparison favors Optimizely. For retention teams: watch for Kameleoon (56 lost, 24 in last year), a newer entrant gaining traction in EMEA.

5. Technology ecosystem

The tech stack data reveals what kind of company runs Optimizely. Google Analytics at 88.52% is near-universal, as expected. But GA4 at 52.76% tells us roughly half the base has already migrated from Universal Analytics. FullStory (13.19%) and Hotjar (14.01%) overlap confirms that Optimizely users invest in session replay alongside experimentation, a pattern consistent with mature CRO teams.

The Adobe Marketing Cloud overlap at 10.93% is striking given the migration data. Many companies run both Optimizely and Adobe tools, using Optimizely for experimentation while keeping Adobe for analytics or content. HubSpot at 5.25% and Pardot at 1.80% suggest the marketing automation stack skews toward mid-market tools rather than enterprise-only options.

On the CMS side, Drupal (3.05%) leads over Squarespace (1.73%) and Wix (1.65%). The relatively low CMS overlap makes sense: many Optimizely customers use Optimizely CMS itself (not tracked as a separate technology here), while others run the experimentation layer on top of custom-built sites.

Sales Signal: The FullStory/Hotjar overlap at 13-14% means these companies have budget for CRO tools. If they're using session replay but not Optimizely yet, they're prime candidates. The 10.93% Adobe Marketing Cloud overlap creates a wedge: these companies already pay for Adobe but chose Optimizely for experimentation, suggesting dissatisfaction with Adobe Target specifically.

6. G2 review signals

G2 reviewers of Optimizely Web Experimentation cite ease of use as the top pro (31 mentions), followed by experimentation management (29) and easy setup (24). This aligns with our data showing 63% of customers are small businesses who need accessible tools. The top con, a steep learning curve (16 mentions), seems to contradict the ease-of-use praise, but it's likely targeting different user personas: marketers find it easy, developers find it complex.

Cross-referencing with migration data, the learning curve criticism may explain some of the outbound churn to simpler tools like Zoho PageSense (112 lost). Companies with limited technical resources gravitate toward lower-complexity alternatives. Meanwhile, the feature richness (24 mentions as a pro) keeps enterprise teams locked in, which is consistent with the 3.6:1 gain ratio against Adobe Target.

Sales Signal: The learning curve concern is a retention risk for SMB accounts. Companies that churned to Zoho PageSense or ConvertBox were likely overwhelmed by Optimizely's feature depth. For sales teams: emphasize onboarding support and managed services to reduce time-to-value for smaller customers.

Key takeaways

1. Market leader in personalization: 7.12% share, #2 in the category, with 4.3x the domains of the nearest comparable competitor.

2. Enterprise DNA, SMB volume: 63% are micro-businesses, but the top 50 companies are all 10,001+ employees. Both segments need different sales approaches.

3. Adobe Target migration corridor is the biggest opportunity: 1,772 gained vs. 496 lost, a 3.6:1 ratio. Companies leaving Adobe's monolithic ecosystem are the warmest leads.

4. US-centric with EMEA upside: 73.3% US concentration means Europe and APAC are growth frontiers.

5. DXP pivot drove 2023-2024 surge: The jump from 13K to 24K domains coincides with Optimizely One's broader positioning beyond A/B testing.

6. Learning curve is the retention risk: G2's top criticism aligns with outbound migration to simpler tools. Onboarding investment is the counter.

Sales applications

Outreach template (targeting Adobe Target users):

"Hi [Name], I noticed [Company] currently uses Adobe Target for experimentation. Our data at TechnologyChecker.io shows that 1,772 companies have migrated from Adobe Target to Optimizely in the past 5 years, a 3.6:1 ratio vs. companies going the other direction. Common reasons include Optimizely's standalone experimentation platform that doesn't require full Adobe ecosystem buy-in. Would a 15-minute comparison be useful?"

Targeting strategy: On TechnologyChecker.io, filter for companies using Adobe Target Standard or Omniture Test and Target, in Retail, Financial Services, or Insurance industries, with 1,001+ employees. These are the highest-conversion prospects based on actual migration patterns.

Competitive angle: For companies evaluating Monetate or Kameleoon, Optimizely's 7.12% market share and Fortune 500 customer base (IBM, Nike, Starbucks) provide enterprise credibility that smaller vendors can't match.

For the full dataset, including 13,219 enriched company profiles, industry breakdowns, and migration flows, explore the Optimizely technology page on TechnologyChecker.io.