Executives from DataRobot, LaunchDarkly and ServiceNow share strategies, actions and recommendations to achieve profitable growth in today's competitive SaaS landscape.
Topics Include:
- Introduction of panelists from DataRobot, LaunchDarkly & ServiceNow
- ServiceNow's journey from service management to workflow orchestration platform.
- DataRobot's evolution as comprehensive AI platform before AI boom.
- LaunchDarkly's focus on helping teams decouple release from deploy.
- Rule of 40: balancing revenue growth and profit margin.
- ServiceNow exceeding standards with Rule of 50-60 approach.
- Vertical markets expansion as key strategy for sustainable growth.
- AWS Marketplace enabling largest-ever deal for ServiceNow.
- R&D investment effectiveness through experimentation and feature management.
- Developer efficiency as driver of profitable SaaS growth.
- Competition through data-driven decisions rather than guesswork.
- Speed and iteration frequency determining competitive advantage in SaaS.
- Balancing innovation with early customer adoption for AI products.
- Product managers should adopt revenue goals and variable compensation.
- Product-led growth versus sales-led motion: strategies and frictions.
- Sales-led growth optimized for enterprise; PLG for practitioners.
- Marketplace-led growth as complementary go-to-market strategy.
- Customer acquisition cost (CAC) as primary driver of margin erosion.
- Pricing and packaging philosophy: platform versus consumption models.
- Value realization must precede pricing and packaging discussions.
- Good-better-best pricing model used by LaunchDarkly.
- Security as foundation of trust in software delivery.
- LaunchDarkly's Guardian Edition for high-risk software release scenarios.
- Security for regulated industries through public cloud partnerships.
- GenAI security: benchmarks, tests, and governance to prevent issues.
- M&A strategy: ServiceNow's 33 acquisitions for features, not revenue.
- Replatforming acquisitions into core architecture for consistent experience.
- Balancing technology integration with people aspects during acquisitions.
- Trends in buying groups: AI budgets and tool consolidation.
- Implementing revenue goals in product teams for new initiatives.
Participants:
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