The Starting Point
A lower CPL did not always mean a better customer.
Stockwiz was running Google Ads across Demand Gen, Search, and Performance Max. But the challenge was not simply generating more leads.
A campaign could look efficient inside Google Ads and still produce weak workshop attendance, enrollments, and downstream revenue. The team needed to connect ad performance with what happened after the lead entered the funnel.
The Strategy Changed
Backend outcomes became the optimization signal.
Lead volume and CPL stopped being the final measure of success. Campaign decisions were increasingly tied to revenue, enrollments, ROAS, and actual sales.
Ad spend → leads → CPL → optimize.
Ad spend → workshop attendance → enrollment → revenue → optimize.
That changed how campaigns, audiences, creatives, placements, and budgets were evaluated.
Vaizle in Action
How Vaizle helped Stockwiz make better decisions
Stockwiz already had the campaign data. Finding which campaigns produced real customers was taking hours every week.
Vaizle made it easier to get the answer and decide what to change.
Ask which campaigns were bringing revenue
The team could start with the question instead of preparing another report.
Compare campaigns, audiences, creatives, and placements
Performance breakdowns made it easier to see what was helping or hurting results.
Look at enrollments and revenue instead of only CPL
Business context helped the team judge lead quality after the click.
Ask follow-up questions until the reason became clear
Each answer could lead to the next question without starting the analysis again.
Campaign Structure
Demand Gen became the core.
When campaign types were compared against backend performance, Demand Gen consistently produced stronger lead quality and higher backend ROAS.
Search and Performance Max were gradually reduced instead of spreading budget across every available campaign type.
Optimization Decisions
Every lever followed backend value.
Spend, audiences, creative, and placements were judged by the customers and revenue they helped create, not by isolated platform metrics.
Spend followed profitable outcomes
Campaigns consuming budget without contributing to backend conversions were paused. Budget moved toward campaigns repeatedly generating revenue and enrollments.
Higher-intent users became the priority
The account increasingly focused on higher-intent audience segments, not merely to narrow reach, but to improve purchasing potential.
The winner produced better customers
Urgency-led image and video creative showed stronger engagement and backend conversion, so those patterns were replicated across campaigns and audience segments.
YouTube became the clearest scaling signal
Placement analysis showed that YouTube and In-Stream inventory were producing the clearest signals for a focused, video-first Demand Gen strategy.
A Real-World Constraint
Better strategy still had to survive platform friction.
This was not a perfectly clean optimization period. Stockwiz also faced repeated ad disapprovals related to Google's Financial Services policies.
Previously approved ads could become disapproved, creating inconsistent delivery. Approved creative had to be refreshed and duplicated while the wider account continued to be optimized.
The Business Result
Revenue increased even as media spend fell.
Stockwiz reduced ad spend by 24% while increasing backend revenue by 33%. Backend conversion rate improved by 215%, and ROAS rose by 76%. The account became more efficient deeper in the funnel, not simply cheaper at the lead stage.
The Larger Lesson
