Olo GDP vs Paytronix
Olo GDP
olo.comPaytronix
paytronix.comSide by side
| Figure | Olo GDP | Paytronix |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Restaurant CRM Software | 8.0 (#9) | 7.9 (#12) |
| Analytics | GDP provides machine learning powered predictive analytics to help understand guest behavior and proactively address churn. | Paytronix provides real-time ROI analysis and shareable reports to help customers evaluate and optimize programs. |
| Founded | 2005 | 2001 |
| Headquarters | New York, New York, United States | Newton, Massachusetts, United States |
| Integrations | Olo says GDP can import OpenTable data for use in segments, computed properties, marketing campaigns, automations, and reporting. | The company advertises more than 450 existing integrations and more than 500 integration partners elsewhere on its site. |
| Security | Olo's security policy describes encryption of personal information in transit over public networks, data segregation, platform security, disaster recovery, and at least annual program reviews. | Paytronix says it follows PCI DSS requirements and maintains data-privacy and security practices. |
| Support | Olo directs new prospects to its sales team and current customers to their Customer Success Manager for information about product features. | Customer Success Plans range from self-guided online technical support to plans with faster support access, a designated success manager, or strategy and analytics services. |
Plans
In their own words
Olo GDP
Olo GDP is a web-based customer data platform for restaurant and hospitality brands. It collects information from restaurant systems and combines transactional, behavioral, demographic, and offline data into profiles for both known and unknown guests. Listed sources include POS, online ordering, loyalty programs, payment processors, reservations, websites and mobile apps, email and SMS, surveys, and reviews. Machine-learning-powered analytics are designed to help brands understand acquisition, retention, visit frequency, guest lifetime value, and churn risk. Unified guest data can be sent through Olo Engage and other destinations to inform business, operations, and marketing decisions. Brands can tailor interactions using preferences such as order history, dietary restrictions, visit frequency, and engagement. Olo describes imports from OpenTable and a Thanx loyalty integration. Pricing is on request, and the page directs prospective customers to request a demo or talk to sales. An account executive can arrange limited-time access following activation, with a custom demo walkthrough after two weeks. Olo was founded in 2005 and is headquartered in New York, New York.