Oppenheimer 29th Annual Technology, Internet & Communications Conference
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Docebo (DCBO) Oppenheimer 29th Annual Technology, Internet & Communications Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Docebo Inc

Oppenheimer 29th Annual Technology, Internet & Communications Conference summary

13 Aug, 2026

Strategic initiatives and growth levers

  • Expanded from internal to hybrid LMS use cases, serving both internal and external training needs across industries.

  • Verticalization efforts began with government (FedRAMP certified in 2025) and are now focused on healthcare, leveraging existing customer base and compliance investments.

  • Entered the skills category via acquisition in 2025, integrating skills with LMS to win larger enterprise deals and double ACV.

  • Integration of 365Talents is in two phases, with full seamless experience expected by early 2027; sales enablement and cross-selling are ongoing.

  • Upmarket push has shifted focus to enterprise customers, increasing ARR per customer and improving retention metrics.

Financial performance and outlook

  • Outperformed expectations in H1 2026, with strong enterprise and government pipeline; ARR acceleration expected in H2 due to easier comps and improved bookings.

  • Dayforce and AWS churn in 2025 created easier comps for 2026; underlying ARR growth is expected to converge with top-line growth.

  • EBITDA margins expanded from 0% to 20% over recent years, with midterm target of 27%; leverage expected from G&A and sales/marketing, while R&D investment remains high.

  • ARR per customer has doubled since 2020, driven by upmarket shift, product innovation, and acquisitions.

Product innovation and AI strategy

  • AI features include LLM-based content creation, virtual role play, and upcoming AgentHub and Knowledge Search, with adoption steadily increasing.

  • Monetization of AI is planned via usage-based credits, with significant revenue impact expected from 2027 onward.

  • Forward deployed engineers are being introduced to help top customers build custom AI agents, with learnings expected to benefit broader verticals.

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