Lunar Strategy is a full-stack marketing agency specializing in crypto growth. The team works with leading crypto and blockchain projects to design and execute performance-driven marketing campaigns.
As a performance-focused agency, Lunar Strategy needed a structured, data-backed approach to creator sourcing, benchmarking, and campaign optimization. Instead of relying on subjective evaluation or surface-level metrics, the team integrated Cookie3’s KOL Intelligence to make creator decisions measurable and scalable.
Results
Key Activities
Lunar Strategy used Cookie3’s KOL Intelligence to identify high-potential creators and compare performance across audience quality, engagement rates, and historical campaign metrics.
The team analyzed creator and brand performance across different campaign phases, identifying which content angles and creators consistently outperformed others.
Underperforming creators were flagged quickly, while high-performing profiles received additional budget allocation, improving overall campaign efficiency.
As an agency managing multiple creators and campaigns simultaneously, Lunar Strategy needed more than vanity metrics.
The team faced three key challenges:
- Selecting the right creators at scale
- Validating audience quality to avoid inflated engagement
- Optimizing campaigns mid-flight based on objective data
Relying on gut feeling or surface-level follower counts created inefficiencies. Without a unified intelligence layer, comparing creators fairly across campaigns and timeframes required manual effort and slowed decision-making.
The team needed a faster, objective, data-driven way to evaluate performance and allocate budget with confidence.
Turning Creator Selection Into a Data-Driven Process
Cookie3’s KOL Intelligence provided Lunar Strategy with a structured evaluation framework.
Clear creator benchmarking
Instead of manually comparing metrics across tools, the team used Cookie3 dashboards to evaluate:
- Audience quality
- Engagement strength
- Historical performance
- Relative positioning vs. competitors
This made creator selection significantly faster and more objective.
Timeframe-based performance analysis
Cookie3 allowed the team to compare creator results across different time periods. This helped identify:
- Creators with consistent long-term performance
- Short-term spikes that weren’t sustainable
- Content angles driving stronger engagement
These insights directly influenced campaign direction and optimization.
Budget optimization in real time
By identifying high-performing creators early, Lunar Strategy was able to reallocate budget toward profiles generating stronger engagement and better CPM efficiency.
Lower-quality creators were phased out more quickly, reducing wasted spend and improving overall social performance.
End-to-end visibility
While full impression → wallet conversion tracking still requires additional setup outside Cookie3, the platform significantly improved visibility into upper- and mid-funnel performance, enabling smarter strategic decisions.
219 creators activated
and benchmarked using a single intelligence layer, enabling structured and scalable creator evaluation.
43.5M impressions and 1.265M engagements delivered
validating the effectiveness of performance-led creator selection
Improved CPM efficiency
by reallocating budget toward higher-performing creators and content angles identified through benchmarking
Faster optimization cycles
with underperforming creators identified and adjusted mid-campaign instead of post-campaign
Audience quality validation reduced wasted spend
ensuring impressions translated into meaningful engagement rather than inflated metrics
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