We detected 2,510 companies using Intelligems, 879 companies that churned, and 212 customers with upcoming renewal in the next 3 months. The most common industry is Retail (49%) and the most common company size is 2-10 employees (62%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Intelligems installed on their website and may not capture stores running tests only on checkout flows or gated pages
📊 Who usually uses Intelligems and for what use cases?
Source: Analysis of job postings that mention Intelligems (using the Bloomberry Jobs API)
Job titles that mention Intelligems
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Based on an analysis of job titles from postings that mention Intelligems.
Job Title
Share
CRO Specialist
19%
UX Designer
19%
Ecommerce Specialist
13%
Shopify Developer/Administrator
13%
I noticed that Intelligems buyers are primarily ecommerce leaders focused on profit optimization and growth. The Head of Marketing role at Intelligems itself reveals their buyer profile: companies hiring for conversion rate optimization, growth management, and performance marketing positions. These decision-makers prioritize measurable revenue impact, with strategic goals centered on increasing conversion rates, average order value, and customer lifetime value through data-driven experimentation.
My analysis shows the day-to-day users are conversion optimization specialists, UX designers, and technical ecommerce operators working within Shopify Plus environments. These practitioners use Intelligems to implement A/B tests on pricing, shipping fees, offers, and content. I found multiple roles explicitly mentioning responsibilities like "setting up shipping, content, pricing and offer A/B tests" and leveraging tools to "implement A/B testing and personalization strategies using tools like Intelligems." They're running experiments across product pages, checkout flows, and promotional funnels to drive incremental revenue gains.
The core pain point I identified is that brands are "leaving 6–10% of potential profit on the table" by making guesses instead of testing. Companies want to access "technology that has previously only been available to the Amazons and Ubers of the world" and move beyond traditional conversion rate optimization to comprehensive "profit optimization." The recurring theme is the need for "measurable business impact" through experimentation programs that directly influence revenue metrics rather than relying on intuition.
👥 What types of companies are companies that use Intelligems?
Source: Analysis of Linkedin bios of 2,510 companies that use Intelligems
Company Characteristics
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Shows how much more likely Intelligems 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
Industry: Retail Health and Personal Care Products
49.3x
Industry: Retail Apparel and Fashion
25.8x
Industry: Consumer Goods
25.5x
Funding Stage: Series A
11.9x
Funding Stage: Series unknown
10.4x
Funding Stage: Non equity assistance
9.7x
I noticed that Intelligems customers are predominantly direct-to-consumer brands selling physical products online. These are companies making everything from apparel and footwear to supplements, beauty products, outdoor gear, and home goods. They're not marketplaces or software companies. They're brands that design, manufacture, and ship tangible products directly to consumers through their own ecommerce stores.
The vast majority of these companies are in growth stage, not early startup or mature enterprise. Most have 2-50 employees, with a sweet spot around 11-50. Very few show significant venture funding. When funding exists, it's typically seed or Series A rounds under $10 million. These are profitable or near-profitable businesses that have found product-market fit and are scaling their marketing and operations, not venture-backed companies burning cash to grow at all costs.
🔧 What other technologies do companies that use Intelligems also use?
Source: Analysis of tech stacks from 2,510 companies that use Intelligems
Commonly Paired Technologies
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Shows how much more likely Intelligems 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 Intelligems users are clearly direct-to-consumer e-commerce brands running sophisticated, data-driven operations on Shopify. The combination of conversion optimization tools, customer service platforms, and advanced analytics tells me these are companies obsessed with maximizing revenue per visitor through rigorous testing and personalization. They're not just selling products online, they're treating their stores like laboratories where every price point, offer, and customer interaction gets measured and optimized.
The pairing with Replo is particularly revealing. Replo lets brands build custom landing pages without developers, and when combined with Intelligems for A/B testing pricing and promotions, it suggests these companies are constantly running experiments to find the perfect combination of design and offer. Triple Whale appearing so frequently makes sense too because these brands need a unified dashboard to track how their pricing tests impact overall profitability across channels. And Klaviyo's presence shows they're connecting these insights back to email marketing, likely segmenting customers based on price sensitivity or purchase behavior.
These companies are definitively marketing-led operations, probably in the growth stage where they've found product-market fit and are now focused on scaling efficiently. They've moved past basic Shopify functionality and invested in a premium tech stack that costs real money each month. The presence of Gorgias and Rebuy Engine suggests they're handling significant customer volume and looking for ways to increase repeat purchases and lifetime value, not just one-time conversions.
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