Pet Brand Case Study
A mid-market challenger pet brand faced a common struggle many mid-market brands face. They were trapped in a cycle of "defensive" spending, essentially paying a tax to ensure their own name appeared in search results.
While this protected their existing territory, it left little room for the offensive spending required to capture new pet parents.
The root cause was a combination of platform-specific limitations and a historical reliance on automatic targeting, which often prioritized the "easiest" sale (existing customers) rather than the most valuable one (new customers).
To reach their goals of scalable, incremental growth, the brand needed to stop playing defense and go on the attack.
The high-level objective was clear: find new customers without cannibalizing existing business. Acadia’s core insight was that an "omni-channel" strategy does not mean a "one-size-fits-all" strategy. Different platforms require different technical levers:
The high-level objective was clear: find new customers without cannibalizing existing business. Acadia’s core insight was that an "omni-channel" strategy does not mean a "one-size-fits-all" strategy. Different platforms require different technical levers:
Amazon US: The breakthrough required a shift from automated "black box" targeting to manual, keyword-level precision. As the most developed platform, ad type utilization expanded from the bottom-of-funnel sponsored products to broader sponsored brand and video educational ad types.
Chewy: We needed to bid smarter. The Chewy platform is heavily reliant on bid modifiers for keywords to buy highly relevant share of voice. This system can be easily misused, driving up CPCs and running campaigns out of budget. We optimized to balance visibility with delivery to maximize ROI.
Walmart: This was our biggest strategic shift. Walmart doesn't allow brands to manually exclude search terms, so the brand had historically burned its budget defending its own brand name. We flipped the script, pulling spend from branded terms and redirecting it to non-branded category terms. The trade-off was some brand position exposure, but the upside was access to a far larger, higher-value audience.
Digging into historical buyer data, the Acadia team uncovered a behavioral pattern hiding in plain sight: the 11-16 Day Trade-Up Window.
The majority of customers who became high-value loyalists followed the same path. Within exactly two weeks of their first purchase, they traded up from a 30-count trial size to a 60-count or 120-count value pack.
🟡 TRUE GROWTH WAS IN THE "TRIAL SIZE" BRIDGE
By intentionally over-investing in acquiring customers through lower-cost 30-count items, the brand essentially "bought" a predictable path to a high-value 120-count repeat purchaser exactly 14 days later.
🟡 CUSTOMERS WERE BUYING BUNDLES
Data also showed that new customers weren't just buying one item; they were buying bundles. The brand wasn't just a supplement company; it was a "regimen" company. By shifting focus to "Gateway ASINs" (products that act as entry points), new-to-brand consumers grew 6% in the month of our strategic change.
Within a month of shifting to an omnichannel and product targeting & prioritization strategy, the brand achieved its highest sell-through in history, unlocked incremental category-level expansion, and saw its investment pay back faster than any competitor in its class.
AMAZON
- Total Revenue Growth: +12.16% Increase (US)
- Customer Acquisition Cost: -46% (US)
- Non-Branded Sales: +145.4% Increase (CA)
CHEWY
- New Customer Sales: +29.62% Increase
- Marketing Efficiency: +12.5% Improvement
WALMART
- Market Reach (SOV): +859.62% Increase
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