How might Bazaarvoice enhance its Sampling campaigns to better target and incentivize high-quality reviewers?

Introduction

To enhance Bazaarvoice's Sampling campaigns for better targeting and incentivizing high-quality reviewers, we need to dive deep into the current product ecosystem, user behavior, and market dynamics. I'll structure my approach by first clarifying key aspects of the problem, then analyzing user segments and pain points, generating solutions, and finally evaluating and prioritizing these solutions with appropriate metrics.

Step 1

Clarifying Questions

• Looking at Bazaarvoice's position in the market, I'm thinking about the scale and reach of their current Sampling campaigns. Could you provide some context on the current volume of samples distributed and the average review quality we're seeing?

Why it matters: This helps us understand the baseline and potential for improvement. Expected answer: Distributing 100,000 samples monthly with a 70% review rate, average quality score of 3.5/5. Impact on approach: Would focus on quality improvement if volume is high, or on scaling if quality is already good.

• Considering the evolving landscape of user-generated content, I'm curious about the primary channels where these reviews are being published. Are we primarily focused on e-commerce platforms, social media, or a mix?

Why it matters: Different channels may require different incentivization strategies. Expected answer: Primarily e-commerce platforms with growing emphasis on social media integration. Impact on approach: Would tailor solutions to leverage platform-specific features and user behaviors.

• Given the focus on high-quality reviewers, I'm wondering about our current segmentation and targeting capabilities. How granular is our current ability to identify and target potential high-quality reviewers?

Why it matters: Determines the level of sophistication we can implement in our targeting strategy. Expected answer: Basic demographic and purchase history data available, limited behavioral insights. Impact on approach: Would prioritize enhancing data collection and analysis capabilities if limited.

• Thinking about the incentive structure, I'm curious about the current mix of incentives offered. Are we primarily using product samples, or do we have other types of rewards in place?

Why it matters: Helps identify potential areas for diversifying or optimizing incentives. Expected answer: Primarily product samples, with some experimentation in loyalty points or exclusive access. Impact on approach: Would explore innovative incentive models if current approach is limited.