We detected 440 customers using Marchex, 171 companies that churned or ended their trial, and 4 customers with estimated renewals in the next 3 months. The most common industry is Motor Vehicle Manufacturing (15%) and the most common company size is 51-200 employees (36%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Marchex
Marchex provides AI-powered conversational intelligence that analyzes phone calls and text messages to deliver actionable insights for businesses, enabling sales, marketing, and executive teams to optimize customer interactions, improve attribution, and increase revenue across industries like automotive, home services, and healthcare.
📊 Who in an organization decides to buy or use Marchex?
Source: Analysis of 100 job postings that mention Marchex
Job titles that mention Marchex
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Based on an analysis of job titles from postings that mention Marchex.
Job Title
Share
Digital Marketing Manager
19%
Digital Marketing Specialist
19%
Field Operations Manager
10%
Marketing Automation Manager
10%
My analysis shows that Marchex buyers are concentrated in digital marketing leadership (38% across managers and specialists) and sales operations roles (15% including VP and field operations positions). These hiring managers prioritize call tracking, conversion optimization, and marketing attribution. They're building teams to drive measurable revenue outcomes through data-driven decision making, particularly around phone call conversions and customer journey analytics.
Day-to-day users are primarily digital marketing practitioners who implement and monitor call tracking across campaigns. They manage integrations between Marchex and platforms like Google Analytics, Salesforce, and marketing automation tools. One role specifically requires expertise to "Set up lead capture tracking and create and manage call tracking scripts (all tracking vendors)" while another needs someone to "Understand and suggest Marchex features to optimize system usage. This includes keyword detection, tracking, call recording, and other features."
The core pain point emerging across these postings centers on attribution and ROI measurement for offline conversions. Companies want to "track and measure the effectiveness of their marketing campaigns" and achieve "accurate attribution, actionable insights" from customer interactions. Multiple roles emphasize "data-driven campaigns" and the need to "ensure clean, actionable data for marketing." Organizations are clearly struggling to connect digital marketing spend to actual customer acquisition, particularly through phone channels, which Marchex addresses directly.
🔧 What other technologies do Marchex customers also use?
Source: Analysis of tech stacks from 440 companies that use Marchex
Commonly Paired Technologies
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Shows how much more likely Marchex 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 Marchex users are sophisticated digital advertisers who rely heavily on paid marketing channels and need to track conversions back to their ad spend. The presence of tools like Skai, TheTradeDesk, and Mediamath tells me these companies are running complex, multi-channel paid campaigns across search, display, and programmatic advertising. They're not just dabbling in ads. They're managing substantial advertising budgets and need call tracking to prove ROI.
The pairing of Marchex with Skai (formerly Kenshoo) is particularly revealing. Skai manages campaigns across Google, Facebook, and Amazon, while Marchex tracks phone call conversions. This suggests companies that understand many high-value customers still prefer to call rather than convert online. Treasure Data appearing so frequently makes sense too. These companies are collecting call data from Marchex and feeding it into their customer data platform to build unified profiles. Adobe Dynamic Tag Manager's presence indicates they're tagging everything meticulously to understand the full customer journey from first click to phone call.
My analysis shows these are mature, marketing-led organizations, likely in industries where phone calls matter for conversions. Think healthcare, financial services, insurance, legal services, or home services. They're past the early startup phase and have reached a scale where they're spending enough on ads to justify sophisticated attribution. They care deeply about marketing efficiency and are willing to invest in tools that help them optimize cost per acquisition.
👥 What types of companies is most likely to use Marchex?
Source: Analysis of Linkedin bios of 440 companies that use Marchex
Company Characteristics
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Shows how much more likely Marchex 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: Automotive
66.4x
Industry: Motor Vehicle Manufacturing
60.9x
Industry: Banking
56.1x
Funding Stage: Grant
20.4x
Company Size: 1,001-5,000
11.6x
Country: US
10.4x
I noticed that Marchex customers are predominantly local, customer-facing businesses where the phone is a critical revenue driver. These aren't tech startups or SaaS companies. They're car dealerships (Fritts Ford, Titus-Will Toyota, Ballas Buick GMC), law firms (O'Donnell Law Offices), home service providers (Apple Air Heating & Cooling, Hulett Environmental Services), healthcare facilities (Claxton Hepburn Medical Center), and hospitality venues (Caribe Royale Orlando). These companies rely on inbound calls to drive sales, book appointments, or schedule services.
These are mature, established businesses, not startups. The funding data is mostly absent or shows post-IPO debt and private equity, not venture capital. Employee counts cluster in the 25- range, with many noting decades of operation. Shore United Bank dates back to 1876, Dayton Toyota since 1959, and EP Henry since 1903. These are stable operations with predictable revenue models, not high-growth ventures seeking venture funding.
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