Companies Using ChipBot

Having analyzed ChipBot across thousands of production deployments, I can share what our technographic data reveals about real-world adoption.

1. Growth Trajectory

ChipBot's adoption curve shows early-stage growth with recent volatility. From a single domain in January 2019, the platform reached 1,219 active domains by March 2025, then declined 19% to 983 by July 2025. The most striking pattern is August 2023's 399% month-over-month spike (68 to 339 domains), likely tied to a product launch or partnership with Brazilian e-commerce platforms. Unlike mature chatbot solutions with steady growth, ChipBot exhibits a boom-and-decline pattern common in regionally-focused SaaS tools that gain traction through localized channels but struggle with retention or market saturation.

Sales Signal: This is a growing but unstable addressable market. The 2023 surge represents opportunity, but the 2025 decline suggests churn issues or market fit challenges. Sales teams targeting Brazilian micro-retailers should position ChipBot as a low-cost entry point, not a long-term enterprise solution.

2. Customer Profile

ChipBot's customer base is 77.9% micro-businesses with 1-10 employees, and 42% were founded in the 2010s. This isn't a platform for scaled operations. It's the chatbot for Brazilian independent retailers who can't afford Intercom or Drift. The two enterprise customers (Gruporcarvalho at 1,001-5,000 employees, Cobreq at 1,001-5,000) are rare outliers in a dataset dominated by single-location stores. Notable examples include Pravet (veterinary services), Sandry (retail), and DKo Home (Chilean furniture retailer), demonstrating limited penetration beyond Brazil's micro-retail segment.

Sales Signal: These companies lack in-house development resources and need turnkey solutions. They chose ChipBot for simplicity and Portuguese language support, not advanced AI capabilities. Sales teams should focus on ease of setup, mobile-first design (critical for Brazilian retail), and integrations with Tray Commerce and PagSeguro, the infrastructure these businesses already use.

3. Industry & Geographic Concentration

ChipBot is 92% Brazil. This is not a global platform. The retail vertical accounts for 45.91% of customers, with textile manufacturing (4.73%) and apparel fashion (2.73%) as secondary verticals. Together, retail-adjacent sectors represent over 51% of the customer base, making ChipBot a vertical solution for Brazilian commerce rather than a horizontal chatbot platform. The 3% US presence (38 companies) and minimal footprint in Europe, Australia, and Canada suggest ChipBot hasn't crossed geographic or language barriers successfully.

Sales Signal: Brazil represents 92% of the addressable market, sales teams should focus on Portuguese-language outreach, Brazilian payment integrations, and local compliance requirements. The retail concentration means upselling point-of-sale integrations, inventory management hooks, and abandoned cart recovery features could resonate. Non-Brazilian regions are effectively untapped, but the platform's lack of localization limits expansion potential.

4. Migration Patterns

ChipBot's migration data shows minimal competitive movement. Only 1 enriched company switched to Quriobot, with zero recorded gains from competitors. This is unusual, healthy platforms show bidirectional flow with net gains. ChipBot's flat migration profile suggests either extreme customer stability (unlikely given the 19% usage decline) or customers who churn by abandoning chatbots entirely rather than migrating to competitors. The lack of inbound switchers from Smooch, Forethought, or ChatWith indicates ChipBot isn't winning competitive deals.

Sales Signal: Limited migration activity reveals two opportunities. First, ChipBot customers who churn are likely abandoning chatbots due to low ROI or complexity. A market for simplified retention tools or managed services. Second, the absence of competitive wins suggests ChipBot isn't positioned as a challenger to market leaders, sales teams should focus on greenfield micro-retailers who've never deployed a chatbot, not competitive displacements.

5. Technology stack

ChipBot's tech stack reflects Brazilian e-commerce infrastructure. Tray Commerce (89.59%) is the dominant platform, with PagSeguro (52.03%) for payments and WhatsApp (79.67%) as a parallel chat channel. The high overlap with JivoSite (82.45%). A competing live chat tool, suggests customers use ChipBot alongside other support channels rather than as a primary solution. The near-universal presence of Google Tag Manager (95.63%) indicates these businesses track conversions, making data-driven ROI analysis possible.

Sales Signal: The Tray Commerce concentration (89.59%) is a distribution opportunity, partnership or integration listing on Tray's marketplace could be ChipBot's primary growth channel. The 20% gap between WhatsApp adoption (79.67%) and PagSeguro (52.03%) reveals underutilized payment integrations, sales teams offering PagSeguro-native checkout flows or WhatsApp payment links could fill this gap. The JivoSite overlap suggests ChipBot hasn't fully replaced traditional live chat, indicating room for all-in-one support platforms to consolidate the stack.

Customer Sentiment (G2)

Looking at G2 feedback alongside our data: users consistently value easy video widget setup. The biggest criticism? dated UI/UX design. Sales teams should address this proactively in evaluation calls.

6. Key Takeaways

ChipBot is a regional micro-business chatbot with 92% Brazilian concentration, 77.9% micro-business adoption, and 45.91% retail vertical focus. The platform experienced rapid growth in 2023 but declined 19% from its March 2025 peak, suggesting retention challenges. Migration data shows zero competitive wins and minimal churn to competitors, indicating customers either stay with ChipBot or abandon chatbots entirely. The tech stack is tightly coupled to Brazilian e-commerce infrastructure (Tray Commerce, PagSeguro, WhatsApp), making platform integrations the primary growth lever.

7. Sales Applications

Outbound Template: "Hi [Name], I noticed [Company] uses Tray Commerce for your online store. We work with 1,128 other Tray merchants (89.59% of ChipBot customers) who've added video chat to reduce cart abandonment. Based on [specific data point from your industry], retailers in [city] see 15-25% conversion lift when they add face-to-face engagement. Would a 10-minute demo showing our Tray integration be useful?"

Targeting Strategy: Filter TechnologyChecker.io for Brazilian companies with 1-10 employees in retail, textile manufacturing, or apparel fashion. Layer in Tray Commerce + PagSeguro technology filters to identify businesses already using ChipBot's environment. Prioritize companies founded 2010-2020 (42% of ChipBot's base) who are digital-native but still lean toward simple, localized tools.

Competitive Angle: ChipBot's flat migration profile means the market isn't actively switching between chatbot providers, focus on first-time chatbot buyers rather than competitive displacements. Position against manual WhatsApp support (79.67% overlap suggests it's the incumbent "solution") by showing how ChipBot automates common inquiries while maintaining the personal touch Brazilian retailers value.

For a complete view of ChipBot's 1,260 enriched companies (matched from 1,781 total domains), including filterable lists by industry, size, and location, visit TechnologyChecker.io. Our dataset combines detection data from 50M+ crawled domains with LinkedIn company enrichment to provide the most accurate technographic intelligence available.