What metrics would you use to evaluate Branch's Cross-Platform Attribution feature?

Introduction

Evaluating Branch's Cross-Platform Attribution feature requires a comprehensive approach to product success metrics. This critical tool for mobile marketers demands careful consideration of its impact across various platforms and stakeholders. I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Branch's Cross-Platform Attribution feature is a sophisticated tool designed to track user journeys across multiple devices and platforms. It allows marketers to understand the full customer journey, from initial touchpoint to conversion, regardless of the devices or channels involved.

Key stakeholders include:

1. Mobile app developers: Seeking accurate attribution data to optimize user acquisition and engagement strategies.
2. Marketers: Needing comprehensive insights to allocate budgets effectively and measure campaign ROI.
3. Product managers: Requiring data to inform feature development and prioritization.
4. End users: Benefiting from more personalized experiences, though not directly interacting with the tool.

User flow:

1. Integration: Developers implement Branch's SDK into their apps and websites.
2. Data collection: The system captures user interactions across various touchpoints.
3. Attribution: Branch's algorithms process the data to attribute conversions to specific marketing efforts.
4. Reporting: Marketers and product teams access dashboards to view attribution data and insights.

This feature aligns with Branch's broader strategy of providing comprehensive mobile growth solutions, differentiating itself through cross-platform capabilities in an increasingly fragmented digital landscape.

Compared to competitors like AppsFlyer or Adjust, Branch's cross-platform approach offers a more holistic view of the user journey, potentially capturing more touchpoints and providing more accurate attribution.

In terms of product lifecycle, Cross-Platform Attribution is in the growth stage. It's established enough to have proven its value but continues to evolve with new platform integrations and machine learning improvements.

Software-specific context:

• Platform/tech stack: Cloud-based infrastructure with machine learning capabilities
• Integration points: SDKs for various platforms (iOS, Android, web), API integrations with major ad networks and analytics tools
• Deployment model: SaaS, with regular updates and feature releases