How PetSmart Uses AI Decisioning to Boost Salon Bookings 22%
PetSmart is North America’s largest pet retailer, operating over 1,700 stores and serving 75 million Treats Rewards loyalty members. The company deployed Databricks Mosaic AI with Hightouch’s AI Decisioning Agents to move beyond static campaign calendars and deliver individualized marketing across owned channels. The result was a 22% incremental lift in salon bookings and a 13% improvement in autoship transaction rates.
Impact
22%
Incremental lift in salon bookings
13%
Lift in autoship transactions
75 million
Treats Rewards members benefiting from personalized outreach
Challenge
Traditional A/B testing and monthly campaign calendars could not deliver real-time personalization for 75 million loyalty members, leaving the marketing team unable to act on individual customer and pet data that lived in Databricks.
Solution
PetSmart deployed Hightouch AI Decisioning Agents on top of Databricks Mosaic AI, using reinforcement learning to personalize message content, offer type, and send timing for each customer across email and app push channels.
Tools & Technologies
What Leaders Say
“Our core mission is to use data not just for business outcomes, but to give pet parents the most relevant, meaningful experience possible.”
“Databricks gave us the speed, accuracy and single source of truth to move quickly from insight to action, while Hightouch’s interface let our marketing team collaborate directly with the AI.”
“Even single percentage-point gains translate to substantial business value at our scale. These lifts shifted our mindset from chasing volume to truly serving each customer.”
“Marketing teams can set clear goals and provide an action space for potential offers or messages while the system figures out the optimal treatment for each customer.”
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Full Story
PetSmart operates at a scale few retailers match — over 1,700 locations, 75 million Treats Rewards members, and 94% of sales tied to loyalty customers. With that concentration of loyalty data comes an immense responsibility to personalize: every customer has distinct pets, purchase patterns, and lifecycle moments worth recognizing. For PetSmart, generic campaigns were not just an opportunity missed — they were a strategic liability in a competitive market.
For years, the marketing team relied on A/B testing and monthly campaign calendars to reach customers. The process was structured but inflexible. Segmentation created buckets, not individuals. Teams could see what worked on average but struggled to optimize for each unique pet parent. With customer attention saturating, PetSmart needed to make the leap from predictive analytics to adaptive, real-time decisioning.
To accomplish this, PetSmart partnered with Hightouch to deploy AI Decisioning Agents on top of their Databricks data platform. The architecture placed Databricks as the single source of truth — consolidating customer history, pet profiles, and behavioral signals — while Hightouch’s reinforcement learning layer continuously optimized message content, offer type, and send timing for each individual. Marketers retained full visibility: they could inspect why the AI made each decision, adjust creative variables, and set goal guardrails per business priority, whether that was grooming bookings, autoship activation, or loyalty engagement.
The business impact was immediate. AI-powered salon campaigns produced a 22% incremental lift in bookings, while autoship-targeted agents drove a 13% improvement in transaction rates. These were not marginal test results — they represented measurable revenue gains across millions of customers. The data feedback loop also enabled creative teams to refine messaging and imagery faster than any manual cadence could.
PetSmart has since extended AI decisioning beyond email into app push notifications, creating coordinated personalization at every owned touchpoint. The shift represents a structural change in how the company approaches marketing: from campaign management to continuous, adaptive customer conversation — one that scales with the loyalty base rather than against it.
