How can Appier enhance its AIQUA platform to better predict customer behavior across different touchpoints?

Introduction

To enhance AIQUA's ability to predict customer behavior across different touchpoints, we need to focus on improving its data integration, machine learning algorithms, and user experience. I'll outline a strategic approach to address this challenge, considering user needs, technical capabilities, and business objectives.

Step 1

Clarifying Questions (5 mins)

• Looking at AIQUA's position in the market, I'm thinking about its current integration capabilities. Could you elaborate on the types of touchpoints AIQUA currently supports and which ones are most challenging to predict behavior for?

Why it matters: Determines where to focus our improvement efforts Expected answer: Web, mobile, and email are supported, with social media integration being challenging Impact on approach: Would prioritize enhancing social media prediction capabilities

• Considering the evolving nature of customer behavior, I'm curious about the accuracy of AIQUA's current predictions. What's the current prediction accuracy rate across different touchpoints, and how has it changed over the past year?

Why it matters: Helps identify areas of strength and weakness in the current system Expected answer: Overall accuracy is 75%, with web predictions at 85% and mobile at 70% Impact on approach: Would focus on improving mobile predictions and maintaining web performance

• Given the importance of data in behavior prediction, I'm wondering about AIQUA's data collection and processing capabilities. How real-time is the data processing, and are there any limitations in terms of data sources or volume?

Why it matters: Influences the feasibility of potential improvements Expected answer: Near real-time processing with a 5-minute delay, some limitations on social media data Impact on approach: Would explore ways to reduce processing delay and expand social media data collection

• Considering Appier's overall strategy, how does improving AIQUA's prediction capabilities align with the company's long-term goals and other product offerings?

Why it matters: Ensures our improvements support broader company objectives Expected answer: Critical for maintaining market leadership in AI-powered marketing solutions Impact on approach: Would focus on integrating improvements with other Appier products for a cohesive ecosystem