GetCrux helps teams understand why a creative is likely to work and what to make next by tagging every ad with performance-predictive signals before and after launch.
Instead of guessing which concepts will win, GetCrux analyzes the actual elements inside your creatives and connects them to real outcomes. Every tag is designed to answer a practical question growth teams care about: Which hooks drive clicks? Which narratives convert? Which formats fatigue faster?
Predict performance before launch
Every new creative is scored before it goes live using content-based signals extracted directly from the asset.
GetCrux evaluates visuals, messaging, structure, and similarity to past winners to estimate how a creative is likely to perform. Teams can define their own success criteria or use built-in dimensions such as messaging strength, engagement proxies, visual composition, and winner similarity.
This means new ads with no history can still be prioritized with confidence, without waiting weeks for data.
Automatic tagging at creative-element level
GetCrux watches every creative and applies consistent, interpretable tags across your entire library.
Tags cover both high-level concepts and granular elements, including:
- Hooks and opening frames
- Emotional tone and narrative style
- Messaging angles and value propositions
- Product presence and timing
- UGC vs studio cues
- Visual layout, framing, and composition
- CTAs, personas, and audience intent
Each creative can carry multiple tags at once, allowing teams to analyze combinations rather than isolated attributes.
No manual naming. No brittle conventions. Just a shared language across creative, performance, and analytics teams.
See which elements actually drive results
Tags are directly linked to downstream performance signals such as CTR, CVR, CAC, ROAS, engagement, spend, and frequency.
GetCrux surfaces patterns that show which tagged elements appear most often in winners, which combinations underperform, and where performance decays over time. Insights are presented as clear comparisons that make it obvious what to scale, what to refresh, and what to stop.
Instead of dashboards that require interpretation, teams get answers they can act on immediately.
Built for real workflows, not experiments in isolation
GetCrux fits into how teams already work.
It connects natively to major ad platforms and attribution systems, pulling in creative assets, metadata, and performance data without disrupting existing pipelines. Insights can be filtered by platform, format, geography, or custom KPIs, making it easy to see what works where.
Creatives can be searched, grouped, and analyzed by tags and performance together. Reports are shareable and exportable, so insights travel across teams without friction.
Learn continuously as campaigns run
Performance data feeds back into the system automatically.
As ads run, GetCrux updates insights, flags emerging patterns, predicts fatigue, and refines future scoring. Teams can override tags, adjust criteria, or provide feedback, creating a human-in-the-loop learning cycle that improves relevance over time.
The result is not a static analysis tool, but a living system that evolves with your creative strategy.
Brand-safe, secure, and controllable
Brand guidelines, legal constraints, and compliance rules are enforced during analysis and generation. Teams retain full ownership of their data, with role-based permissions and auditability built in.
GetCrux is designed for enterprise-scale creative libraries and high-volume iteration without sacrificing governance or security.
From insight to action
The real value of tagging is not the labels themselves. It is what they unlock.
GetCrux turns tagged insights into concrete next steps: creative briefs, recommended angles to test, variations to generate, and signals on when to refresh or double down.
Instead of asking “Which ad won?”, teams can finally answer:
- What specifically made it win?
- Where does this pattern break?
- What should we launch next with confidence?
That is what performance-based creative tagging is meant to do.
