Informing content development strategies with data
Nissan
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The Nissan communications team sought to centralize performance metrics across digital platforms and paid media campaigns. Stripe Theory developed an automation system to allow deeper learnings around content strategies and paid media efficiencies. With integrated analytics, the team could access content and platform insights to assess performance at annual auto shows, product launches, corporate announcements and other high profile initiatives to compare and measure YoY performance.
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Using a proprietary method to assess content performance with unlimited variables, Stripe Theory applied the content learnings to develop recommendations and insights to inform creative assets and paid strategy.
Stripe Theory designed a self-service dashboard empowering Nissan to view their data MoM, QoQ, and campaign to campaign for quick reference and strategy support. Stripe also developed a content tagging framework for Nissan to efficiently uncover insights specific to platform, format, content type, topic, campaign, setting, etc.
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Data is analyzed monthly, quarterly, and annually to identify areas of impact, testing opportunities, areas to optimize for efficiencies, and measuring platform success.