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Docebo (DCBO) investor relations material

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

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Oppenheimer 29th Annual Technology, Internet & Communications Conference summary13 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.

Healthcare verticalization strategy and ROI
AI monetization model and credit usage
H2 2026 ARR acceleration and churn comps
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