AI Analysis | Feedback

Here are 1-3 brief analogies for Amplitude (AMPL):

• Google Analytics, but for understanding deep user behavior *within* digital products (apps and websites) – Like Google Analytics provides insights into website traffic, Amplitude provides much deeper insights into how users actually interact with features and navigate inside an app or website.
• Salesforce for product teams – Just as Salesforce is an essential platform for sales teams to manage customer relationships and drive sales, Amplitude is an essential platform for product teams to understand user behavior, optimize products, and drive engagement.
• Datadog or Splunk, but for analyzing *user behavior* in digital products – Similar to how Datadog or Splunk collect and analyze large volumes of operational data (logs, metrics) for system performance, Amplitude collects and analyzes user event data to understand and optimize human behavior within digital products.

AI Analysis | Feedback

• Amplitude Analytics: Provides insights into user behavior and product usage to help teams build better digital products.
• Amplitude Audiences: Enables teams to segment users based on behavior and integrate with other tools for personalized experiences.
• Amplitude Experiment: A platform for running A/B tests and managing product experiments to drive data-informed decisions.
• Amplitude CDP (Customer Data Platform): Unifies customer data from various sources to create a complete view of each user and activate that data across tools.
• Amplitude Session Replay: Allows teams to visually replay individual user sessions to understand their experience and troubleshoot issues.

AI Analysis | Feedback

Amplitude (AMPL) primarily sells its product analytics platform and services to other companies (Business-to-Business or B2B) to help them understand user behavior and optimize their digital products. Its platform is used by product teams, data scientists, and marketers within these organizations.

Its major customers include a wide range of enterprises across various industries. Some of its prominent customer companies are:

• Atlassian (TEAM)
• Peloton Interactive (PTON)
• DoorDash (DASH)
• Warner Bros. Discovery (WBD)
• Under Armour (UAA)
• Dropbox (DBX)
• Ford Motor Company (F)
• NBCUniversal (a subsidiary of Comcast, CMCSA)
• PayPal Holdings (PYPL)

AI Analysis | Feedback

• Amazon (AMZN)

AI Analysis | Feedback

Spenser Skates, Chief Executive Officer (CEO) and Co-founder

Spenser Skates is the CEO and co-founder of Amplitude, which he co-founded in 2012. Before Amplitude, he co-founded Sonalight, a text-to-voice app, where he identified the need for a better product analytics solution, which led to the creation of Amplitude. Prior to his entrepreneurial ventures, Skates worked as an algorithmic trader at DRW Trading Group. He holds a degree in Bioengineering from MIT. He led Amplitude through a direct public offering.

Andrew Casey, Chief Financial Officer (CFO)

Andrew Casey joined Amplitude as Chief Financial Officer on August 1, 2024, bringing over 25 years of experience in enterprise software. His previous roles include serving as CFO for Lacework, Inc., where he was instrumental in its acquisition by Fortinet. Casey also led WalkMe Ltd.'s Initial Public Offering (IPO). His extensive career includes senior finance positions at companies such as ServiceNow, Hewlett-Packard, NortonLifeLock Inc. (formerly Symantec), Oracle, and Sun Microsystems.

Curtis Liu, Chief Technology Officer (CTO) and Co-founder

Curtis Liu is the Chief Technology Officer and co-founder of Amplitude. He plays a key role in shaping the company's technological vision and strategy. Liu's background includes roles at Google and Electronic Arts, and he holds a B.S. in Electrical Engineering and Computer Science from MIT. He co-founded Sonalight with Spenser Skates, which eventually led to the creation of Amplitude.

Thomas Hansen, President

Thomas Hansen serves as the President at Amplitude, where he is responsible for overseeing strategic initiatives and driving global growth. His professional experience includes leadership positions at Forter, Dixa, and UiPath, and he has held roles such as Chief Revenue Officer at UiPath and Global Vice President of Revenue at Dropbox.

Jeffrey Wang, Chief Architect and Co-founder

Jeffrey Wang is the Chief Architect and co-founder of Amplitude. He is essential in defining the company's technical architecture and product development. Before co-founding Amplitude, Wang held key engineering roles at Sumo Logic, Clinkle, and Palantir Technologies. He holds a B.S. in Computer Science from Stanford University.

AI Analysis | Feedback

The key risks to Amplitude's business (AMPL) are:

1. Heavy Reliance on Amplitude Analytics Product and Customer Retention/Acquisition: Amplitude largely depends on its Amplitude Analytics product for revenue, making continued demand and market acceptance of this product critical for its success. The company faces significant risks if it experiences a decline in customer retention, struggles to expand commercial relationships with existing customers, or fails to attract new customers. Any such decline could materially and adversely affect its business, financial condition, and results of operations.
2. History of Losses and Difficulty Achieving Consistent Profitability: Amplitude has a history of net losses, reporting $94.3 million and $90.4 million for the fiscal years ended December 31, 2024, and 2023, respectively. The company anticipates increased costs due to investments in platform development, technology infrastructure, sales, marketing, and international expansion. Analysts project Amplitude to remain unprofitable for the next three years, with losses having increased at an average rate of 15.4% annually over the past five years. Gross margins have also slipped, impacted by rising data ingestion, infrastructure, and professional services costs.
3. Intense Competition and Rapidly Evolving Market, Including AI Technologies: Amplitude operates in a highly competitive and rapidly changing environment within the Software-as-a-Service (SaaS) applications market. Failure to innovate or adapt to evolving customer needs could adversely affect its competitive position. Furthermore, the company is investing in AI technologies, which inherently present risks such as inaccurate data outputs and potential legal liabilities, and there's a risk that new AI features may not gain traction or customer adoption of new products could remain slow, potentially dampening growth expectations.

AI Analysis | Feedback

The increasing adoption of a "warehouse-native" approach to product analytics, where companies centralize all their behavioral data in a cloud data warehouse (e.g., Snowflake, Databricks, Google BigQuery) and then build custom analytics and reporting layers directly on top of this owned data infrastructure. This trend leverages modern data stack tools (like dbt for transformations and various BI tools or specialized "headless" analytics interfaces) to perform analysis, potentially reducing the need for standalone product analytics platforms that traditionally ingest and manage their own proprietary data stores.

AI Analysis | Feedback

Product Analytics: The global product analytics market is projected to be worth USD 9.09 billion in 2024 and is expected to reach USD 27.01 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 14.6% during the forecast period. Another report states the global market size for product analytics at USD 11.39 billion in 2025, with a forecast to grow to USD 22.74 billion by 2030 at a CAGR of 14.83%. North America held the largest share of the product analytics market in 2023, and it is expected to continue to dominate. In 2021, the global product analytics market size was valued at USD 10.2 billion and is projected to reach USD 76.7 billion by 2031, growing at a CAGR of 22.7% from 2022 to 2031.

Customer Data Platform (CDP): The global customer data platform market size was valued at USD 5.37 billion in 2023 and is projected to reach USD 51.95 billion by 2030, growing at a CAGR of 39.5% from 2024 to 2030. Another estimate places the global market size for CDPs at approximately USD 9.72 billion in 2025, with an expectation to grow to USD 37.11 billion by 2030, at a CAGR of 30.7%. North America accounted for the largest revenue share in the global CDP market in 2023.

Digital Analytics Platform / Digital Optimization System: Specific addressable market sizes for Amplitude's broader "Digital Analytics Platform" or "Digital Optimization System" as a unified market were not explicitly found in the search results as a distinct, comprehensively sized market. Amplitude's offerings in this area encompass a suite of tools including Product Analytics, Marketing Analytics, Session Replay, Feature and Web Experimentation, Activation, and Guides and Surveys. While these components contribute to the larger digital analytics and optimization landscape, a single, encompassing market size figure for the entire system was not available.

Marketing Analytics, Session Replay, Experimentation, Activation, and Guides and Surveys: Dedicated global or regional market sizes for these individual components as distinct addressable markets for Amplitude were not found in the search results.

AI Analysis | Feedback

• Expansion to New Enterprise Customers: The company is consistently focused on acquiring new enterprise clients, a strategy highlighted in recent earnings calls and reports. This focus on a high-value customer segment is anticipated to contribute significantly to revenue growth.
• Cross-selling and Multi-product Adoption: Amplitude aims to increase sales of its various platform offerings to existing customers. This includes driving cross-platform sales and encouraging the adoption of multiple products, which has a positive impact on Net Revenue Retention (NRR) and overall revenue.
• Innovation and Launch of New AI-Native Products and Features: A primary driver of long-term growth for Amplitude is its investment in innovation, particularly in AI capabilities. The company has recently launched and plans to continue releasing new AI-native products such as AI Visibility, the Amplitude Model Context Protocol (MCP) server, AI agents, Guides and Surveys, and Frustration analytics, all designed to enhance its digital analytics platform.
• Strategic Acquisitions and Partnerships: Amplitude has strategically acquired companies like Command AI and Kraftful to bolster its product offerings and broaden its market reach. Collaborations with other technology providers are also expected to integrate Amplitude's analytics capabilities into wider ecosystems, increasing its accessibility and value.
• Monetization of Data Ingested into the Platform: Amplitude sees an opportunity to generate revenue by monetizing the data that customers ingest into its platform, thereby aligning the value customers receive with the company's growth objectives.

AI Analysis | Feedback

Share Repurchases

• Amplitude's Board of Directors authorized a share repurchase program on May 7, 2025, allowing for the purchase of up to $50 million of its Class A common stock.
• The share repurchase program does not have an expiration date.
• The timing and amount of any repurchases are determined based on market conditions, share price, and other factors, and the program may be modified, suspended, or terminated at any time without notice.

Share Issuance

• Amplitude reported $0.0 million in "Issuance of Stock" for the trailing twelve months ended June 2025.
• In the first quarter of 2025, GAAP Net Loss per share was based on 129.7 million shares, compared to 120.8 million shares in the first quarter of 2024, indicating an increase in the number of outstanding shares.

Capital Expenditures

• Capital expenditures for the last 12 months, as of November 4, 2025, were -$2.18 million.
• Analysts anticipate ongoing investments in platform expansion, specifically in AI-driven analytics and compliance infrastructure, as crucial for long-term growth.