What metrics would you use to evaluate Sojern's Travel Intent Platform?

Introduction

Evaluating Sojern's Travel Intent Platform requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic understanding of the platform's performance and impact.

Step 1

Product Context

Sojern's Travel Intent Platform is a data-driven marketing solution designed to help travel businesses target potential customers based on their online behavior and travel intent signals. The platform leverages AI and machine learning to analyze vast amounts of travel-related data, including search queries, booking patterns, and browsing history.

Key stakeholders include:

1. Travel businesses (hotels, airlines, destinations)
2. Digital marketers
3. Travelers
4. Sojern's internal teams (product, engineering, sales)

The user flow typically involves:

1. Data collection and analysis
2. Audience segmentation
3. Campaign creation and targeting
4. Ad delivery across various channels
5. Performance tracking and optimization

This platform aligns with Sojern's broader strategy of providing data-driven marketing solutions for the travel industry. It differentiates itself from competitors like Adara and Criteo by focusing exclusively on travel and offering a more comprehensive set of intent signals.

In terms of product lifecycle, the Travel Intent Platform is in the growth stage, with ongoing feature enhancements and market expansion efforts.

Software-specific context:

• Platform: Cloud-based SaaS
• Integration points: CRM systems, ad networks, booking engines
• Deployment model: Continuous integration/continuous deployment (CI/CD)