27th Annual ICR Conference 2025
Logotype for Olo Inc

Olo (OLO) 27th Annual ICR Conference 2025 summary

Event summary combining transcript, slides, and related documents.

Logotype for Olo Inc

27th Annual ICR Conference 2025 summary

10 Jan, 2026

Business overview and evolution

  • Olo provides restaurant technology solutions for ordering, payment, and guest engagement, serving over 700 brands and 85,000 locations.

  • The company began in 2005 to address inefficiencies in restaurant ordering and has since expanded to include delivery enablement and a modular platform.

  • Olo's platform processed $26 billion in sales volume in 2023, ranking third in the industry by sales volume if it were a restaurant brand.

  • The Olo Flywheel integrates Order, Pay, and Engage, leveraging guest data to drive personalized marketing and profitable traffic.

  • The company partners with over 400 technology providers, emphasizing an open ecosystem and modular integrations.

Financial highlights and revenue model

  • 2023 revenue is targeted at $281 million, reflecting a 23% year-over-year growth rate.

  • Operating income is projected at $30 million, with an operating margin above 10% and positive cash flow.

  • Gross revenue retention exceeds 95%, and net revenue retention is above 120%.

  • Revenue streams include software (flat fee and usage-based) and payments, with a take-rate model for card-not-present transactions.

  • Expansion into card-present payments is expected to drive further revenue and ARPU growth.

Product strategy and differentiation

  • Olo's open, modular platform allows brands to build custom tech stacks and integrate with a wide range of partners.

  • The sales process targets brand-level adoption for unified guest experiences, rather than franchisee-by-franchisee rollouts.

  • The Flywheel approach enables brands to use data from both digital and in-store transactions for targeted engagement.

  • Olo Pay addresses both guest and operator needs, improving fraud prevention, authorization rates, and user experience.

  • Engage leverages transaction data for personalized marketing, similar to recommendation engines in other industries.

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