Tagging Creatives by Predicted Performance, Not Guesswork

Atharva Padhye
Atharva Padhye
April 22, 2025
Tagging Creatives by Predicted Performance, Not Guesswork

Most teams label creatives after results come in. By then, budget has already been spent and learning is slow.

GetCrux flips that model. It tags creatives based on how they are expected to perform, before and during launch, using AI that understands creative elements, historical patterns, and outcome signals across channels.

The result is a tagging system that does more than organize assets. It helps teams decide what to launch, what to iterate, and what to scale with higher confidence.

Creative Tagging That Operates at the Element Level

Traditional creative tagging relies on ad names, folders, or manual conventions. Those approaches break down as volume increases.

GetCrux analyzes each creative directly and applies tags at the element level, not the campaign or naming level. That includes:

  • Visual composition and layout
  • Messaging angle and narrative
  • Hook structure and sequencing in video
  • CTA framing and copy attributes
  • Format and pacing signals

Because tagging is driven by the creative itself, similar creatives receive consistent labels even when naming conventions differ. One creative can hold multiple, non-exclusive tags, allowing teams to see overlapping patterns rather than forcing assets into a single bucket.

Performance-Aware Tags, Not Static Labels

Tags in GetCrux are directly connected to predicted performance outcomes.

Each creative is scored before launch using a configurable prediction layer. Teams can use predefined scoring logic, or align predictions to their own winning criteria, attribution models, and KPIs.

Predictions can be generated across metrics such as CTR, CVR, CPA, and ROAS, normalized across channels when needed. Every prediction includes a confidence score that reflects the likelihood of success based on historical patterns, creative similarity, and engagement signals.

This allows tags to answer questions like:

  • Which messaging angles are most likely to produce winners?
  • Which visual patterns correlate with lower CAC?
  • Which combinations of elements tend to underperform before spend scales?

Instead of tagging for description, GetCrux tags for decision-making.

Human-Readable Explanations Behind Every Tag

Performance predictions only matter if teams understand why they exist.

GetCrux surfaces explanations alongside tags through dashboards and its Copilot interface. Rather than abstract model outputs, teams see:

  • How specific tags correlate with performance outcomes
  • Patterns shared by winning versus losing creatives
  • Side-by-side comparisons that show what changed and why it mattered

Insights are delivered in natural language so creative, performance, and analytics teams can align without translating metrics into intuition manually.

Works Across Formats, Channels, and Competitor Ads

GetCrux applies the same tagging and prediction logic across:

  • Static image ads
  • Video creatives, including hook timing and sequencing
  • Ad copy, headlines, and CTAs
  • Owned ads and competitor ads

By analyzing competitor creatives with the same taxonomy, teams can identify gaps, overused themes, and emerging patterns outside their own accounts.

Cross-channel normalization allows teams to compare creative performance across Meta, Google, TikTok, YouTube, LinkedIn, and more without being misled by platform-specific metrics.

Designed for Limited Data and Fast Onboarding

GetCrux does not require years of historical data to be useful.

Teams can onboard using direct ad platform connections, CSV uploads, or lightweight proof-of-concept integrations. Tagging logic and learned patterns transfer across creatives, helping teams evaluate net-new assets even when data is sparse.

This makes the platform practical for both high-scale advertisers and teams still building their testing muscle.

From Tags to Action, Not Just Insight

Every tag in GetCrux connects to action.

Tags feed directly into creative briefs, iteration guidance, and kill-or-scale decisions. The Fixer recommendation layer prioritizes creative changes based on expected impact, and the system learns from executed experiments over time.

Insights and reports can be shared automatically through dashboards, email, or Slack, keeping teams aligned without recurring manual analysis.

Governance and Trust Built In

Creative tagging at scale requires control.

GetCrux supports role-based access, audit logging, and human-in-the-loop approvals. Tags and taxonomies can be reused across accounts within an organization, helping agencies and enterprises maintain consistency without losing flexibility.

Security, data protection, and compliance are treated as first-class concerns rather than add-ons.

A Smarter Way to Understand Creative Performance

GetCrux treats creative tagging as a predictive system, not an organizational chore.

By combining element-level understanding, performance-aware predictions, and explainable insights, teams gain a shared language for why creatives work and what to do next.

Instead of labeling the past, GetCrux helps teams shape what performs next.

👉 Learn more at GetCrux.ai

Atharva Padhye
Atharva Padhye
April 22, 2025