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Fleksa Marketing Automation vs Olo GDP

What both publish

FactFleksa Marketing AutomationOlo GDP
AnalyticsThe product reports campaign ROI, revenue per recipient, and repeat-order lift using orders attributed to campaigns.GDP provides machine learning powered predictive analytics to help understand guest behavior and proactively address churn.
AudienceThe product page describes use for independent restaurants, multi-location groups, fine dining, and catering and events businesses.GDP is marketed to restaurant and hospitality brands, and Olo identifies Five Guys and Sonny's BBQ as customers using it.
CompanyFleksa lists Fleksa GmbH at Friesstraße 20, 60388 Frankfurt, Germany, and Fleksa, Inc. in Austin, Texas.Olo says it was founded in 2005 and describes itself as an open SaaS platform with more than 450 technology partners.
HeadquartersFrankfurt, GermanyNew York, New York, United States
IntegrationsThe integrations directory lists 26+ connections spanning Google ordering/reservations, Stripe, POS systems, delivery marketplaces and driver networks.Olo says GDP can import OpenTable data for use in segments, computed properties, marketing campaigns, automations, and reporting.
ProductFleksa describes its marketing automation as email, SMS, loyalty, win-back campaigns, and gift cards powered by POS data.GDP is Olo’s restaurant focused customer data platform for collecting, analyzing, and acting on guest data from restaurant systems.

Fleksa Marketing Automation plans

  • FlexFree
  • Essentials€99 a month
  • Bundle€199 a month
  • Enterprise & Multi-LocationPriced on request

Olo GDP plans

  • Olo GDPPriced on request

Pick Fleksa Marketing Automation if…

Fleksa suits restaurants that want to organize customer data and automate marketing around visits, orders, and loyalty activity. The listed audiences include independent restaurants, multi-location groups, fine dining, and catering and events businesses.

Pick Olo GDP if…

GDP is aimed at restaurant and hospitality brands that want to combine guest data from restaurant systems and use it for analysis or activation. It may suit teams working with POS, ordering, loyalty, reservations, or marketing data.

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