
Scaling Subscription Growth with ASC+ Beta
Overview
Following several consecutive years of strong subscription growth, I identified an opportunity to further accelerate performance for a leading business publication by tapping into Meta’s latest automation tools. Recognizing the need to evolve beyond legacy optimization structures, I led a strategic test that leveraged emerging platform capabilities to unlock greater efficiency and scale.
Challenge
At the time, Meta’s Advantage+ Shopping Campaign (ASC+) was still in their early stages and limited to optimizing toward the default “purchase” event—an approach that didn’t fully align with the brand’s subscription model. This constraint made it difficult to fully capitalize on Meta’s machine learning potential. To overcome this, I actively sought out and secured access to a newly released Beta that allowed for more tailored event optimization. I successfully enrolled the brand as one of the first participants in this Beta, enabling us to gain early insights and a competitive advantage before broader market rollout.
Strategy
One of the first to activate ASC+ Beta through Meta’s closed testing program.
Designed and executed a side-by-side A/B test comparing Business-As-Usual (BAU) campaigns with ASC+ using alternate event optimization.
Monitored in-platform behaviors, adjusted signal strength, and ensured proper conversion mapping for accurate performance attribution.
Analyzed results and provided actionable insights for long-term campaign structure improvements.
Results
The ASC+ Beta initiative significantly outperformed existing structures, delivering strong gains across key metrics. Compared to the same period in the previous year, results included:
+25%
Increase in Subscriptions
+47%
Increase in Subscription Revenue
+62%
Improvement in Return on Ad Spend (ROAS)
-27%
Reduction in Cost-per-Acquisition (CPA)
6.04%
Conversion Rate (CVR) compared to the previous 4.84% CVR