Cloudflare (NET) Goldman Sachs Communacopia + Technology Conference summary

Product and platform evolution

• Expanded from 8 to over 50 revenue-generating products since IPO, emphasizing a platform strategy for customer cost savings and product consolidation.

• R&D investment is data-driven, shifting toward next-generation products like Workers AI and inference solutions as Zero Trust and SASE reach enterprise-grade maturity.

• Nearly 80% of the top 50 generative AI companies use the network, with a focus on adoption and diverse use cases to optimize GPU utilization.

• The network's architecture enables every product to run on any server, maximizing utilization and CapEx efficiency, with GPU capacity now in nearly 170 cities.

• New products, especially in AI and security, are iterated rapidly, with R&D and go-to-market resources shifting to high-growth areas.

Go-to-market strategy and customer engagement

• Go-to-market spending is increasing, especially to support SASE, with a transition from digital to strategic account sales.

• Pool of Funds deals allow customers to flexibly consume products, driving larger, stickier contracts and higher retention when customers use more than nine products.

• Sales hiring surged 150% quarter-over-quarter, with productivity ramp expected in the next year as new hires reach full capacity.

• Large enterprise deals are a key growth vector, with significant white space in $1M+ customers and a focus on engaging higher-level decision makers.

• Dual sourcing is increasing post-CrowdStrike incident, with customers layering SASE vendors for resilience and performance.

Financial and operational efficiency

• CapEx intensity remains low, with plans to increase GPU investment to 10-12% of network CapEx by year-end.

• SASE and Magic WAN products deliver 30-50% total cost of ownership reductions, leveraging existing network architecture for high gross margins.

• The network can absorb all current SASE vendors without additional CapEx, highlighting efficiency gains.

• Pool of Funds deals add forecasting complexity but enable faster, larger deployments for critical infrastructure customers.

• Macro uncertainty persists, with tight budgets and back-end loaded deals, but heightened cyber threats provide tailwinds, especially in federal business.