What new features could Appier add to its CrossX programmatic advertising solution to improve cross-channel campaign performance?

Introduction

To improve Appier's CrossX programmatic advertising solution for enhanced cross-channel campaign performance, we need to identify key pain points and develop innovative features that address them. I'll analyze the current product, user segments, and market trends to propose strategic improvements that align with Appier's goals and user needs.

Step 1

Clarifying Questions

• Looking at CrossX's position in the programmatic advertising space, I'm curious about its current market share and primary competitors. Could you share some insights on where CrossX stands in relation to other major players like The Trade Desk or Google's DV360?

Why it matters: Helps determine if we should focus on differentiation or feature parity. Expected answer: CrossX has a growing market share but trails behind industry leaders. Impact on approach: Would prioritize unique features to stand out in the market.

• Considering the cross-channel nature of CrossX, I'm wondering about the current integration capabilities. What channels does CrossX currently support, and are there any significant gaps in coverage compared to user demands?

Why it matters: Identifies potential areas for expansion and improvement. Expected answer: Supports major digital channels but lacks integration with emerging platforms. Impact on approach: Would focus on expanding channel coverage and improving cross-channel synergy.

• Given the rapid evolution of privacy regulations, I'm interested in CrossX's current approach to data management and compliance. How is CrossX addressing challenges like third-party cookie deprecation and evolving privacy laws?

Why it matters: Crucial for ensuring long-term viability and user trust. Expected answer: Basic compliance measures in place, but room for improvement in privacy-centric features. Impact on approach: Would prioritize developing privacy-enhancing technologies and first-party data solutions.

• Considering the importance of AI in modern adtech, I'm curious about CrossX's current AI capabilities. What machine learning models or AI-driven features are currently implemented in CrossX?

Why it matters: Determines the potential for AI-driven improvements and automation. Expected answer: Basic AI for bid optimization, but limited use in creative optimization or audience targeting. Impact on approach: Would focus on expanding AI capabilities across the platform.