What improvements could Snapchat make to its AR filters to increase user engagement?

Introduction

To improve Snapchat's AR filters and increase user engagement, we need to analyze the current state of the feature, identify pain points, and propose innovative solutions. I'll approach this by examining user segments, analyzing pain points, generating solutions, and prioritizing improvements. Let's dive in.

Step 1

Clarifying Questions

• Looking at Snapchat's position in the social media landscape, I'm curious about the current user engagement metrics for AR filters. Could you share some insights on the average daily active users (DAU) using AR filters and the average time spent per user on this feature?

Why it matters: This will help us understand the baseline engagement and identify areas for improvement. Expected answer: 60% of DAU use AR filters, with an average of 3 minutes per day spent on the feature. Impact on approach: Lower usage would focus on discoverability, while lower time spent would prioritize filter variety and depth.

• Considering the rapid evolution of AR technology, I'm wondering about Snapchat's current AR capabilities compared to competitors. How does our AR technology stack up against other platforms like Instagram or TikTok in terms of features and performance?

Why it matters: This will help us identify technological gaps and opportunities for innovation. Expected answer: Snapchat leads in face tracking accuracy but lags in full-body tracking and real-world object integration. Impact on approach: Would focus on leveraging our strengths while addressing key technological gaps.

• Given the importance of user-generated content in social media, I'm curious about the current state of user-created AR filters on Snapchat. What percentage of AR filter usage comes from user-created content versus Snapchat-created filters?

Why it matters: This will help us understand the ecosystem dynamics and potential areas for community engagement. Expected answer: 30% of AR filter usage is from user-created content, with steady growth over the past year. Impact on approach: Would influence whether to focus on improving creation tools or enhancing discovery of user-generated content.

• Considering the global nature of Snapchat, I'm interested in understanding regional differences in AR filter usage. Are there significant variations in popularity or types of filters used across different geographic markets?

Why it matters: This will help us tailor our improvements to specific market needs and cultural preferences. Expected answer: Asian markets show higher engagement with beauty filters, while Western markets prefer interactive game-like filters. Impact on approach: Would lead to a more localized strategy for filter development and promotion.