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PINS Q1 2024 Earnings

AI Summary

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Call Details

  • Call Title: Pinterest, Inc. Q1 2024 Earnings Call
  • Date: April 30, 2024 at 8:30 PM UTC
  • Management Team:
    • Andrew Somberg (Vice President of Investor Relations and Treasury)
    • Bill Ready (Chief Executive Officer)
    • Julia Brau Donnelly (Chief Financial Officer)

Call Summary

Financial Performance

  • Global MAUs reached 518 million, growing 12% year over year and accelerating for the seventh consecutive quarter.
  • Q1 revenue was $740M, up 23% year over year and up 22% on a constant currency basis.
  • Adjusted EBITDA was $113M, representing a 15% margin and improving nearly 1,100 basis points year over year.
  • Ad impressions grew 38% year over year while ad pricing declined 11% year over year, an improvement from down 16% last quarter.
  • Cost of revenue was $177M, up 6% year over year and up 2% versus Q4 due to infrastructure spend.
  • Non-GAAP operating expense was $453M, up 10% year over year driven by headcount and incremental marketing.
  • Cash, cash equivalents, and marketable securities totaled $2.8B at quarter end and the company used approximately $100M of cash for net share settlement of equity awards.

AI & Technology Initiatives

  • Pinterest transitioned from CPU to GPU serving to enable models that are 100 times larger and to improve personalization and relevance.
  • Recommendation models now incorporate proprietary signals from human curation to optimize for depth of engagement and outcomes such as saves, clicks, and conversions.
  • Collages powered by computer vision and AI drive higher engagement, with users roughly three times more likely to save collage pins versus other pins.
  • Gen Z comprises more than 40% of users and represents nearly 70% of collage creators, indicating product-market fit for AI-powered creative formats.
  • Shop the Look was expanded to video pins in Q1 to surface shoppable carousels directly from video content.
  • Planned product launches include dynamic creative optimization using generative AI and ROAS bidding to automatically optimize toward advertiser ROI.

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