Annmarie Stockinger

Meet 𝐀𝐧𝐧𝐦𝐚𝐫𝐢𝐞 𝐒𝐭𝐨𝐜𝐤𝐢𝐧𝐠𝐞𝐫: A strategic powerhouse in Product-Led Growth (PLG) and enterprise analytics, currently steering the post-sales data strategy as the 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫 𝐨𝐟 𝐂𝐗 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 at Zendesk.

With over a decade of expertise, Annmarie specialises in bridging the gap between sophisticated machine learning and boardroom strategy, having refined the “𝐈𝐝𝐞𝐚𝐥 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫” logic for industry leaders like MURAL and Vimeo.
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🎯 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐆𝐫𝐨𝐰𝐭𝐡 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Annmarie’s core competence lies in the science of the 𝐈𝐝𝐞𝐚𝐥 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 (𝐈𝐂𝐏). She architects the frameworks that define high-value acquisition rather than just tracking clicks. At MURAL, her 𝐦𝐚𝐜𝐡𝐢𝐧𝐞-𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠-𝐝𝐫𝐢𝐯𝐞𝐧 𝐥𝐞𝐚𝐝 𝐬𝐜𝐨𝐫𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬 𝐬𝐞𝐫𝐯𝐞𝐝 𝐚𝐬 𝐭𝐡𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐥𝐨𝐠𝐢𝐜 𝐭𝐡𝐚𝐭 𝐫𝐞𝐜𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐞𝐝 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐲’𝐬 𝐞𝐧𝐭𝐢𝐫𝐞 𝐠𝐥𝐨𝐛𝐚𝐥 𝐟𝐢𝐬𝐜𝐚𝐥 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲, ensuring Sales and Marketing efforts were aligned with long-term account value.
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🔄 𝐏𝐨𝐬𝐭-𝐒𝐚𝐥𝐞𝐬 𝐑𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧: At Zendesk, Annmarie has transformed post-sales analytics into a proactive engine for customer adoption. By championing modern data transformation capabilities, she ensures that insights are a driver for growth rather than a reactive report. Her focus on building robust KPI frameworks turns complex customer behaviors into actionable roadmaps that move the needle on retention for managed accounts.
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💡 𝐓𝐡𝐨𝐮𝐠𝐡𝐭-𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐚𝐧𝐝 𝐌𝐞𝐧𝐭𝐨𝐫𝐬𝐡𝐢𝐩: Beyond her executive roles, Annmarie is a veteran of "hyper-growth" environments who has successfully scaled high-performance data science teams while optimising operational costs. She is a vocal advocate for 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐞𝐝 𝐋𝐞𝐚𝐝 (𝐏𝐐𝐋) 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 and frequently shares her expertise on scaling data operations within the SaaS ecosystem, empowering the next generation of data practitioners to drive business impact.
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🌐 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐚𝐧𝐝 𝐒𝐨𝐜𝐢𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭: Annmarie’s approach to data is rooted in real-world problem-solving. As a co-founder of the award-winning GoSafely initiative she pioneered the use of predictive tools to enhance campus safety. This entrepreneurial grit defines her professional persona: she builds data systems that are as operationally robust as they are socially impactful.

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