Domo (DOMO) Cantor Fitzgerald Global Technology Conference summary

Business model transformation and customer relationships

• Transitioned from a seat-based to a consumption-based model over the past 24 months, now with nearly 90% of business on consumption by year-end.

• Consumption model has stabilized customer base, improved retention, and fostered stronger, longer-term relationships.

• Customers are incentivized to commit to multi-year, higher-volume contracts for lower per-credit pricing, driving increased long-term RPO.

• Churned unstable customers, resulting in a more stable and engaged user base.

• Cash flow positive for the quarter and year, with growth expected to accelerate in the second half.

Partner ecosystem and go-to-market strategy

• Shifted from competing with cloud data warehouse (CDW) vendors to partnering with them, now co-selling with CDWs like Snowflake and Databricks.

• Partnership deals close five times faster and at higher rates, with larger and more stable deal sizes.

• System integrators (SIs) and independent software vendors (ISVs) are increasingly recommending the platform due to simplified solution delivery.

• Hired experienced partner managers to deepen relationships with hyperscalers and CDWs.

• Pipeline from CDW partnerships is growing, with significant acceleration expected in the second half of the year.

Product innovation and AI integration

• Platform enables rapid deployment of AI agents, with dozens of customer-built agents to be showcased at the upcoming user conference.

• Provides robust data governance, security, and workflow automation, making it easy for organizations to build and manage AI-driven solutions.

• Agnostic to large language models, allowing customers to leverage any LLM within a governed environment.

• AI readiness and metadata management are key differentiators, supporting real-time, organization-wide data access.

• Customers are using AI for operational automation, such as workforce scheduling based on real-time data.