What channels does Jacquard support?

Jacquard supports email, SMS, mobile push, in-app messaging, web push, and ChatGPT apps, enabling omnichannel consistency from a single brief.

How does the Performance Prediction Engine work?

The engine is trained on years of copy experiment data. It predicts the expected performance of message variants before they are sent, allowing teams to start with the highest-likelihood champion and test intelligently.

Directory/Marketing/Marketing Automation/Jacquard

Jacquard

Jacquard is an enterprise agentic platform that generates, optimizes, and distributes marketing content across channels. It combines Generative AI with a Performance Prediction Engine to ensure brand-compliant, high-converting copy. The platform's Language2 architecture enforces deterministic guardrails for stylistic compliance, while its audience-wide optimization replaces A/B testing with data-driven certainty. Key capabilities include omnichannel consistency (email, SMS, push, web), contextual 1:1 personalization, automated governance, and global reach across 27+ languages. Jacquard provides explainable performance data and quarterly brand voice insights, helping marketers move from intuition-based to evidence-based creative strategy. Target users are marketing teams, CRM managers, and brand strategists in large organizations.

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Added on

Jul 13, 2026

Enterprise content platformLanguage2 architectureOmnichannel distributionPerformance prediction27+ languagesContextual personalization

Product information

Everything worth knowing about Jacquard

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Brand-Compliant Generation

Generate copy that adheres to brand voice with deterministic guardrails via Language2 architecture.

Automated Governance

Replace subjective approvals with data-led compliance checks before submission.

Audience-Wide Optimization

Use experimental design to uncover the highest-performing language for the total audience.

Contextual 1:1 Personalization

Dynamically personalize messages based on product and user profile data.

Omnichannel Distribution

Deliver optimized content across email, SMS, mobile push, in-app, web push, and ChatGPT.

Technical capabilities

Language2 Architecture

Proprietary generation architecture enforcing strict brand compliance before prediction.

Performance Prediction Engine

Trained on years of copy experiments to predict winning message variants 94% of the time.

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Who uses it

Real use cases, no hype

Brand-Compliant Content Generation

Generate marketing copy that adheres strictly to brand voice using deterministic guardrails.

Automated Governance and Approval

Replace subjective copy reviews with data-driven compliance checks and approval workflows.

Audience-Wide Optimization

Replace A/B testing with mathematically certain best-variant selection for the total audience.

Contextual 1:1 Personalization

Generate personalized messages for each user using product and profile data.

Omnichannel Campaign Deployment

Create and distribute consistent messaging across email, SMS, push, and web.

Global Multilingual Content

Produce native-quality copy in 27+ languages with cross-region performance learning.

Creative Performance Intelligence

Get explainable insights into why language resonates to improve strategy.

What's great

Predicts top-performing message variants 94% of the time
Automated brand voice compliance and governance
Omnichannel delivery from a single strategic brief

Technical strengths

Contextual 1:1 personalization beyond static segments
Proprietary Language² architecture with non-LLM-dependent generation
Performance Prediction Engine trained on years of copy experiments

Where it falls short

Focused exclusively on marketing content, not general copy
Requires integration with existing marketing stack
Enterprise pricing limits accessibility for small teams

Technical limitations

Limited control over underlying model architecture
Dependency on Jacquard’s proprietary LLM creates lock-in

For technical folks

The deep-dive specs

Architecture

Proprietary Language2 with deterministic guardrails before prediction

Security Certification

ISO 27001:2022

Uptime Guarantee

99.9%

Languages Supported

27+ languages and dialects

Personalization Method

1:1 contextual messaging using product and user profile data

Optimization Approach

Experimental design for audience-wide optimization

FAQ

Includes technical Q&A

Jacquard uses a proprietary Language² architecture that enforces strict, deterministic guardrails during generation, ensuring every variant adheres to brand style and compliance rules before output.