Every ad gets tested, evolves
and outperforms.

Each new variant is built from three inputs: patterns extracted from your winning champions (what messaging angles, structures, and proof points drove performance), competitor ad intelligence (how rivals position against the same keywords), and search intent signals (what language your buyers actually use). The system doesn't randomly remix words — it constructs variants designed to test specific hypotheses about what drives clicks in your market.

The system begins running experiments within 24 hours of connecting your account. How quickly results emerge depends heavily on your impression volume — higher-volume ad groups reach statistical significance faster. Some accounts see initial signals within 7–14 days, while lower-volume accounts may take several weeks before the data supports confident conclusions. The real value compounds over multiple test cycles as the system learns which messaging angles resonate with your specific audience. We'd rather give you a reliable winner in 30 days than a premature one in 10.

Every variant is monitored across multiple dimensions: CTR trend, impression-weighted decay rate, time-since-peak analysis, and audience saturation signals. When any combination of these metrics crosses configurable thresholds, the system flags the variant for replacement. This catches fatigue 2–3 weeks before it becomes visible in aggregate campaign metrics, preventing the slow performance erosion that most teams only notice in monthly reviews.

Every variant is scored against your brand guidelines on three axes — voice consistency (word choice, sentence structure, personality), tone alignment (formal vs. conversational, authoritative vs. approachable), and positioning coherence (does this ad reinforce or dilute your strategic positioning). Variants that score below your configured thresholds are rejected before they ever enter testing. Currently maintaining 92% brand voice coherence across all active variants.

The system dynamically manages variant rotation based on your impression volume and statistical power requirements. Higher-volume ad groups can test more variants simultaneously while maintaining significance. Typically 1–2 variants compete at any time per ad group, with the system automatically adjusting allocation as winners and losers emerge — using contextual bandit algorithms to minimize the cost of testing while maximizing learning speed.

Absolutely. You can pin any variant as protected — preventing it from being retired regardless of performance — or manually promote or retire variants from your dashboard. When you override, the system adjusts its models to incorporate your strategic judgment. Protected variants continue to be monitored for decay but won't be automatically replaced.