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March 11, 2025 62 mins

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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