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ZOETIS ACQUIRES PERFORMANCE LIVESTOCK ANALYTICS TO EXPAND ITS DIGITAL AND DATA ANALYTICS OFFERING
Source: Performance Livestock Analytics news release



Zoetis today announced the acquisition of Performance Livestock Analytics to enhance its animal health solutions across the continuum of care for beef producers. The addition of Performance Livestock Analytics, a technology company that simplifies data and analytics for the livestock industry, will help Zoetis to accelerate progress in precision livestock farming and improve sustainability of producers' operations. Financial terms of the transaction are not being disclosed.

"The addition of Performance Livestock Analytics is an important part of our strategy to bring precision livestock farming to our customers to help improve the health of their animals and the sustainability of their operations," said Mike McFarland, DVM, DABVP, Executive Vice President and Group President of Accelerated Growth Businesses for Zoetis. "The team at Performance Livestock Analytics has successfully applied Silicon Valley technology learnings to the needs of livestock producers, and we are thrilled to have them join us at Zoetis to continue leading the way in digital and data analytics for livestock."

"Our digital platform changes how livestock producers manage their business. Real-time, accurate data allows producers to make better management decisions to help boost efficiency and profitability," said Dane Kuper, co-founder and CEO, Performance Livestock Analytics. "Both our culture and vision align well with Zoetis. Now as part of Zoetis, we will be better positioned to provide practical technology solutions to improve livestock health and sustainability for our customers."

Precision livestock farming can help improve producers' decision-making, right down to the level of each individual animal, to maximize health and well-being, performance, and efficiency across livestock operations. Digital platforms and technology can help integrate information that a producer has available from multiple sources and turn that information into useful insights that inform health and management decisions. On-farm data also may be meaningful if shared throughout the supply chain in response to consumers' growing interest in how food-producing animals are raised.


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