MCHXNasdaqServices-Prepackaged SoftwareUS GAAP · USD

Marchex, Inc

Marchex is a U.S.-based software company that applies AI and conversational intelligence to phone, text, and other customer communications. Its platform turns those interactions into analytics and actionable insights that help enterprises improve sales conversion, customer experience, and revenue performance.

Revenue45.4m USD
−5.6 %y/y
Operating profit (EBIT)-5.7m USD
−28.7 %y/y
EBIT margin-12.6%
−3.4 ppy/y
Net income-5.2m USD
−5.8 %y/y
Free cash flow-1.4m USD
+2.8 %y/y

Fiscal year 2025 · change from previous year

Development 2020–2025

-60-40-200204060m USD2020: 51 m USD2020: EBIT -44 m USD20202021: 53 m USD2021: EBIT -12 m USD20212022: 52 m USD2022: EBIT -8.1 m USD20222023: 50 m USD2023: EBIT -9.6 m USD20232024: 48 m USD2024: EBIT -4.4 m USD20242025: 45 m USD2025: EBIT -5.7 m USD202545-5.7
RevenueOperating profit (EBIT)

Business

Share of revenue
Conversational intelligence platform70 %

AI software that analyzes customer conversations across phone, text, and related channels.

Call tracking and attribution20 %

Phone-number tracking and call-based measurement used to attribute leads and conversions.

Text and messaging analytics5 %

Messaging-related tracking and analytics for customer engagement and lead conversion.

Professional and data analytics services5 %

Implementation, support, and vertical data insights that help customers operationalize the platform.

Customers

Marchex sells primarily to large enterprises that manage high volumes of inbound and outbound customer conversations. Its customers use the platform to improve lead conversion, personalize interactions, and measure marketing and sales effectiveness across distributed footprints. The company specifically targets B2B2C vertical markets where phone and text interactions are important to revenue generation.

Large enterprise brands

Buy conversational intelligence tools to monitor and improve customer interactions at scale.

Sales and marketing organizations

Use call/text analytics and attribution to optimize campaigns and conversion rates.

B2B2C vertical market operators

Adopt vertical-specific analytics to improve performance in industries where conversations drive sales.

Customer experience and operations teams

Use insights from conversations to improve service quality and operational execution.

Strategy

Marchex is focused on expanding its AI-driven conversational intelligence offerings and embedding generative AI into its analytics workflow. The company is also emphasizing vertical-market data analytics so it can deliver more prescriptive insights and defend itself against broader competitors such as Twilio, Invoca, Google, and messaging-platform vendors.

Advance AI and generative AI capabilitiesShort term

AI features are central to product differentiation and customer value in a fast-moving market.

Strengthen vertical-market analyticsMedium term

Industry-specific insights help Marchex sell into B2B2C verticals and improve retention.

Protect competitiveness through product breadthMedium term

Broader product coverage helps offset competition from larger software and ad-tech platforms.

Geography

Marchex is incorporated in Delaware and operates primarily from offices in Seattle, Washington and Wichita, Kansas. The filings do not provide a country revenue split, but the business appears centered on U.S. enterprise customers and U.S.-based operations. Its exposure is therefore tied more to domestic enterprise spending, telecom infrastructure, and U.S. macro conditions than to international manufacturing or supply chains.

Risks

Marchex faces intense competition in a market with short product cycles, price sensitivity, and rapid technology change, including AI feature competition from larger platforms. Its business also depends on third-party telecom and software infrastructure, so outages or security incidents can quickly disrupt service and damage customer trust. Revenue is exposed to macroeconomic weakness, lower call volumes, customer consolidation, and contract migration effects that can reduce usage and slow sales cycles.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Intense competitive pressure1Cybersecurity and data security incidents2Macroeconomic demand softness3Third-party service dependency4
Impact is the risk’s severity and likelihood how probable it is over the next few years, both assessed from the company’s reports. Numbers match the list.
  1. Intense competitive pressureImpact: HighLikelihood: High

    The market is crowded and rapidly changing, with larger vendors able to bundle adjacent products.

    Exposure: Call analytics and messaging analytics

  2. Cybersecurity and data security incidentsImpact: HighLikelihood: Medium

    The platform depends on sensitive communications data and always-on systems.

    ExposureCustomer dataService uptimeBrand reputation
  3. Macroeconomic demand softnessImpact: HighLikelihood: Medium

    Customers may cut budgets, delay decisions, or reduce call volumes in weaker conditions.

    Exposure: Enterprise customer spending and usage volumes

  4. Third-party service dependencyImpact: MediumLikelihood: Medium

    Telecom, bandwidth, and software providers are essential to delivering the service.

    Exposure: Network operations and call/text processing

Accounting

Judgemental items
Over-time revenue recognition

Revenue depends on services performed and usage volumes, so timing of activity affects quarterly comparability.

Impact: Can shift revenue between quarters as call/text volumes change

Receivables and post-period adjustments

The company notes collections may vary from reported information after third-party refinement.

Impact: Can affect revenue, accounts receivable, and cash conversion

Stock-based compensation

Material SBC is embedded in operating expenses across cost of revenue, sales, product, and G&A.

Impact: Affects reported operating loss and non-cash expense profile

Liquidity and going-concern assessment

Management states additional financing may be needed if revenue or capital access weakens.

Impact: Important for solvency analysis and dilution risk

Publicly listed companies with a comparable business focus.

Last updated: 24/09/2026