Full-Funnel Marketing Automation
Designed and optimized paid acquisition campaigns with data-led experimentation and AI-assisted insights.
Why It Matters
Marketing automation is most valuable when it compounds learning speed, not just ad delivery speed.
Key Metrics
The headline numbers that define this engagement.
31%
Lower cost per qualified lead
2.2x
ROAS improvement in 10 weeks
MoM
Consistent pipeline growth trend
Context
Paid acquisition was active but unstable, with inconsistent return between campaigns and audiences.
The team needed a repeatable experimentation system instead of one-off optimization attempts.
Challenge
- High ad spend with fluctuating lead quality and ROI.
- No reliable visibility into where the funnel leaked intent.
- Creative and audience tests lacked structure and learning loops.
Solution
Step 1
Rebuilt campaign architecture by funnel intent
- Split campaigns by awareness, consideration, and conversion objectives.
- Aligned messaging and landing pages to stage-specific user intent.
Step 2
Operationalized experimentation cadence
- Introduced weekly testing cycles for creatives, offers, and page variants.
- Tracked learning velocity, not just winner/loser outcomes.
Step 3
Closed the loop with downstream conversion data
- Synced CRM qualification signals back into campaign optimization logic.
- Prioritized spend toward channels driving revenue-quality leads.
Outcomes
- Cost per qualified lead reduced by 31% while maintaining volume.
- ROAS improved 2.2x over a focused 10-week optimization window.
- Pipeline growth became consistent month-over-month.
Next Steps
- Deploy creative fatigue prediction to refresh assets proactively.
- Extend funnel scoring to include sales cycle velocity.