What features could Taboola add to its native advertising platform to help advertisers better target their audience?

Introduction

To improve Taboola's native advertising platform for better audience targeting, we need to analyze the current features, understand advertiser pain points, and propose innovative solutions. I'll explore user segments, identify key challenges, and suggest data-driven improvements that align with Taboola's strategic goals.

Step 1

Clarifying Questions

• Looking at Taboola's position in the native advertising market, I'm curious about the primary metrics driving this improvement initiative. Could you share which KPIs are most critical for Taboola right now – is it more about increasing advertiser retention, improving click-through rates, or expanding to new advertiser segments?

Why it matters: This helps prioritize features that align with Taboola's current business objectives. Expected answer: Focus on improving advertiser ROI and retention rates. Impact on approach: Would emphasize features that enhance targeting precision and campaign performance visibility.

• Considering the evolving privacy landscape, I'm wondering about Taboola's current data collection and targeting capabilities. How has recent privacy legislation like GDPR or CCPA affected Taboola's ability to gather and utilize user data for targeting?

Why it matters: Determines the constraints and opportunities for new targeting features. Expected answer: Significant impact, with a shift towards contextual and first-party data targeting. Impact on approach: Would focus on developing privacy-compliant targeting solutions and first-party data activation features.

• Given the competitive nature of the ad tech industry, I'm interested in understanding Taboola's unique value proposition. What do advertisers consistently say is Taboola's biggest strength compared to competitors like Outbrain or Google Ads?

Why it matters: Helps identify areas to double down on and potential gaps to fill. Expected answer: Taboola's strength lies in its extensive publisher network and content recommendation algorithm. Impact on approach: Would look to enhance features that leverage Taboola's publisher relationships and improve content-audience matching.

• Thinking about the diverse advertiser base, I'm curious about the current segmentation of Taboola's advertisers. Could you provide insight into the breakdown between large brands, small businesses, and perhaps content marketers or affiliate advertisers?

Why it matters: Allows for tailored feature development for different advertiser segments. Expected answer: Mix of large brands (30%), small businesses (50%), and content/affiliate marketers (20%). Impact on approach: Would consider developing segment-specific targeting features and user interfaces.