Scaling Direct-to-Consumer Growth in a Restricted Vertical
Result:
Blended ROAS
0
x
Reduction in CAC
-
0
%
Growth in Non-Branded Search Traffic
+
0
%
Increase in ATV
+
0
%
Problem Statement
Regulatory Bottlenecks
Operating in a "gray area" where traditional cannabis terminology triggers immediate ad account suspensions or "shadow-banning" by Google’s automated crawlers.
Attribution Gaps
Inconsistent data reporting between in-platform Google metrics and third-party tools (like Triple Whale), leading to "black hole" spending without clear incrementality.
Market Education Gap
The challenge of shifting consumer behavior from "buying weed" to "replacing a 6-pack of beer," requiring a sophisticated balance of education and hard-sell conversion.
High CPA Saturation
Facing rising costs in the D2C beverage space, making it difficult to maintain profitability while scaling spend beyond a "pilot" budget.
Spokes Solutions
We utilized "Machine Learning" terminology and lifestyle-centric messaging to bypass automated policy flags. By focusing on the benefit (socializing without the hangover) rather than the ingredient, we maintained 100% account health.
Instead of broad cannabis interest, we targeted "Search Arbitrage" opportunities, bidding on high-intent terms related to wellness, sobriety, and premium mixers where competition was lower but relevance was high.
We redesigned the post-click experience by implementing "Mobile-First" landing pages that integrated live inventory and streamlined "Shop Now" CTAs, reducing friction for first-time buyers.
Leveraged advanced tracking to identify "high-value" clusters. We moved away from manual bidding to target ROAS (tROAS) models, allowing the algorithm to hunt for users with a high probability of repeat subscription, not just one-off sales.
