We detected 585 customers using Channel Talk, 70 companies that churned or ended their trial, and 15 customers with estimated renewals in the next 3 months. The most common industry is Retail (69%) and the most common company size is 2-10 employees (75%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Channel Talk
Channel Talk provides an all-in-one AI messenger platform for customer service that combines live chat, team chat, CRM, marketing, and chatbot features to help businesses deliver personalized customer engagement.
๐ง What other technologies do Channel Talk customers also use?
Source: Analysis of tech stacks from 585 companies that use Channel Talk
Commonly Paired Technologies
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Shows how much more likely Channel Talk 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 Channel Talk users are overwhelmingly e-commerce businesses, and specifically ones operating in a very particular growth segment. The strong correlation with Shopify tells me these are online retailers, while the appearance of specialized tools like Boost Commerce and Forter suggests they're dealing with real transaction volume and complexity, not just getting started.
The pairing of Shopify with Facebook Ads makes perfect sense for direct-to-consumer brands that rely on paid social acquisition. These companies need to talk to customers throughout the buying journey, which is exactly where Channel Talk fits in. The Microsoft Clarity correlation is particularly interesting because it shows these merchants are actively analyzing how visitors behave on their sites, trying to optimize conversion rates. And Forter, a fraud prevention tool, only becomes necessary when you're processing enough orders that chargebacks and fraud become material problems. This isn't hobby shop territory.
My analysis shows these are marketing-led organizations focused heavily on conversion optimization. They're past the earliest startup phase but still growth-focused, which is why they need customer communication tools that can handle both pre-sale questions and post-purchase support. The presence of Langshop, a translation tool, suggests many are expanding internationally or serving multilingual markets. These companies are systematically removing friction from the customer journey, and real-time chat is part of that playbook alongside A/B testing, fraud protection, and paid acquisition.
๐ฅ What types of companies is most likely to use Channel Talk?
Source: Analysis of Linkedin bios of 585 companies that use Channel Talk
Company Characteristics
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Shows how much more likely Channel Talk 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
Country: KR
340.9x
Funding Stage: Series A
84.5x
Country: JP
53.1x
Funding Stage: Series unknown
22.5x
Funding Stage: Seed
21.5x
Industry: Software Development
5.0x
I noticed that Channel Talk's customers span a wide range of industries, but they share a common thread: they're primarily product-focused companies selling directly to consumers or businesses. These aren't pure service providers. I see cosmetics brands like TIRTIR and haruharu wonder, logistics companies like CJ Logistics and VTOV, tech platforms like Myrealtrip and ZEP, education companies like ์ผ๋๋ and ClassIn, and manufacturing businesses from semiconductor parts to pet care products. What unites them is that they have tangible offerings, whether physical products, software platforms, or educational content, and they need to communicate with customers throughout the buying journey.
Most of these companies fall into the scaling growth stage. I see frequent Series A and B funding rounds, employee counts typically ranging from 11-200 people, and revenue milestones being celebrated. Companies like ์์ mention 75% repeat purchase rates and rapid sales growth. Myrealtrip describes itself as Korea's "Travel Super App." These aren't brand new startups figuring out product-market fit, nor are they Fortune 500 enterprises. They're in that critical phase where customer communication becomes complex because volume is increasing but they haven't yet built massive support teams.
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