Amplitude CFO Andrew Casey outlined the company’s 2026 transformation into a unified data and decisioning platform, anchored by new AI agent capabilities and a revamped pricing model. Management described a strategic shift from fragmented tools to a consolidated platform where agents enable "self-improving products." A major focus was the transition to a transparent, value-based pricing structure designed to remove friction and encourage multi-product adoption. Financially, Amplitude aims to expand Net Revenue Retention to 115% through cross-selling, while balancing new logo growth and optimizing long-term operating margins as it scales up-market.
Key Takeaways
- AI Product Traction: AI Studio reached over "$6 million ARR" in under a year with eight customers spending over $100,000; AI Teammates will move from beta (200+ customers) to general availability later in March.
- Financial Performance: Q4 revenue grew 9.2% with non-GAAP operating margins of 9% (up 1,300 bps year-over-year) and free cash flow margins of 13% (up 700 bps year-over-year).
- Leading Indicators: cRPO grew 17% in Q4, and Net Retention Rate (NRR) improved for the third straight quarter, with top 10 renewals exceeding 100%.
- Tech Sector Stabilization: The technology cohort, representing 25% of ARR, stabilized to "flat growth" in Q4 after declining for seven consecutive quarters.
- Guidance and Headwinds: FY 2027 revenue guidance assumes 8% growth, factoring in a "2% impact or headwind" from product-led growth (PLG) top-of-funnel pressure.
- Monetization Model: Asana utilizes a hybrid pricing model for AI products involving pre-packaged credits and overages, rather than a full consumption model.
- Capital Allocation: The company increased its share buyback authorization by "$160 million to about $200 million" to capitalize on current valuation levels.
Q&A
Josh Baer (Morgan Stanley): What does the strategy to be the pioneer of the agentic enterprise really entail?
- Dan Rogers: Asana functions as the "ledger" and "system of record" for work, providing the necessary instruction set for humans and agents to collaborate. Because agents increase the volume of tasks, the need for a structured Work Graph to coordinate this activity grows exponentially.
Josh Baer (Morgan Stanley): Can you detail Asana's AI products like AI Studio and AI Teammates and the value they bring?
- Dan Rogers: AI Teammates utilize the Work Graph to be "instantly productive" for specific roles like marketing or IT without needing inference training. AI Studio allows companies to embed intelligence into workflows—such as a fashion retailer coordinating from SKU to factory—and operates within existing enterprise governance rules.
Josh Baer (Morgan Stanley): How are you monetizing these AI agents and tools; do they require a seat or is it consumption-based?
- Aziz Megji: The company currently uses a "hybrid model" involving pre-packaged credits based on organization size and use cases, plus overages. This approach is working well, as evidenced by eight customers spending "$100,000 or more" with AI Studio in the past quarter.
Josh Baer (Morgan Stanley): How do you respond to investors who worry that AI could fundamentally disrupt the collaborative work management category?
- Dan Rogers: AI is an amplifier that "increases the need for coordination" rather than replacing it. Leading AI labs are actually customers expanding their usage of Asana to manage the complexity, persistent memory, and governance required for thousands of employees and agents.