We detected 381 customers using connectif, 64 companies that churned, and 24 customers with upcoming renewal in the next 3 months. The most common industry is Retail (30%) and the most common company size is 51-200 employees (27%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use connectif?
Source: Analysis of Linkedin bios of 381 companies that use connectif
Company Characteristics
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Shows how much more likely connectif 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: Apparel & Fashion
82.5x
Country: ES
53.1x
Industry: Retail Apparel and Fashion
31.7x
Industry: Retail
21.6x
Country: IT
9.8x
Company Size: 51-200
4.7x
I analyzed these companies and found that Connectif's typical customer operates in consumer-facing retail, predominantly in fashion, beauty, home goods, and specialty products. These are companies that sell physical products directly to end consumers, whether through e-commerce, physical stores, or both. I see fashion retailers like Chamela and Algo Bonito, cosmetics brands like La Poción and Trendy Shop, sporting goods companies like Bodytone, and home furnishing sellers like móbica. They're not software companies or B2B service providers. They're in the business of moving inventory to shoppers.
These are not early-stage startups. The employee counts reveal established businesses, mostly ranging from 50 to 500 employees, with some exceeding 1,000. Very few mention funding rounds, and when they do, it's modest seed funding. I see companies celebrating 20, 30, even 90+ years in business. They have physical store networks, multiple locations, and international distribution. This is the growth and maturity stage, not the scrappy startup phase.
🔧 What other technologies do connectif customers also use?
Source: Analysis of tech stacks from 381 companies that use connectif
Commonly Paired Technologies
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Shows how much more likely connectif 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 Connectif users are primarily e-commerce companies with a strong focus on customer experience and conversion optimization. The concentration of tools like Oct8ne, Doofinder, and Flowbox tells me these are online retailers who invest heavily in creating interactive, personalized shopping experiences. They're not just running basic online stores. They're building sophisticated digital retail operations where visual engagement and search functionality are critical to their business model.
The pairing of Oct8ne (visual assisted sales chat) with Connectif makes perfect sense for retailers who want to replicate in-store assistance online. When I see Doofinder alongside this, it confirms these companies understand that product discovery drives revenue. They're solving the same problem from two angles: helping customers find what they need through search and helping them make decisions through visual engagement. The presence of Flowbox and Skeepers suggests these retailers also leverage user-generated content and social proof extensively, creating a complete persuasion ecosystem that guides shoppers from discovery to purchase.
The full stack reveals these are marketing-led organizations that treat customer engagement as a competitive advantage. They're likely past the startup phase and into scale mode, with enough revenue to justify specialized tools for each part of the customer journey. The inclusion of FactorialHR indicates they're building actual teams with HR infrastructure, not just scrappy early-stage operations. These companies are sophisticated enough to understand that personalized marketing automation (what Connectif provides) needs to work in concert with search, social proof, and customer service.
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