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About Jacquard
What is Jacquard?
Jacquard is an agentic enterprise platform that unifies generative AI with performance intelligence to create content that converts. It helps brands move beyond basic A/B testing by using mathematical certainty to uncover the highest-performing language for any audience, then delivering that content across email, SMS, mobile push, in-app, web push, and ChatGPT apps.
Who is it for?
Jacquard is built for enterprise marketing teams — especially CRM, lifecycle, and personalization managers at large brands like Currys, P&O Cruises, and Home Chef. It is not for small businesses or solo marketers looking for a simple copywriting assistant; it requires integration with existing marketing stacks and a data-driven workflow.
Key capabilities
Jacquard generates brand-compliant copy using its proprietary Language2 architecture, which enforces strict stylistic guardrails before prediction. It replaces subjective approval bottlenecks with automated governance. Its audience-wide optimization uses experimental design to find the best messaging for the total audience, while contextual messaging personalizes 1:1 based on product and user profile data. The platform also supports omnichannel distribution and native-quality generation across 27+ languages, with cross-region performance learnings.
Real use cases
Enterprise marketers use Jacquard to increase email open rates (e.g., 42% uplift), click rates (e.g., 93% uplift), and revenue (e.g., 102% uplift). It is particularly effective for event-based messaging, lifecycle campaigns, and quarterly reporting where data-driven copy outperforms human-written alternatives.
Key features
- Brand-Compliant Generation — Language2 architecture enforces deterministic guardrails for stylistic compliance before prediction, ensuring brand safety.
- Automated Governance — Replace subjective bottlenecks with data-led compliance checks, ensuring every variant is on-brand and performant.
- Audience-Wide Optimization — Uses best-in-class experimental design to uncover the highest-performing language for the total audience, replacing A/B testing with mathematical certainty.
- Contextual Messaging — 1:1 personalization engine analyzes product and user profile data to generate the perfect message for every user, every time.
- Omnichannel Consistency — Deliver optimized content across email, SMS, mobile push, in-app, web push, and ChatGPT apps from a single strategic brief.
- Global Reach & Local Nuance — Native-quality generation and calibration across 27+ languages and dialects, with cross-region performance learning.
Jacquard Pricing
Jacquard pricing: Custom enterprise pricing.
Enterprise Plan
Custom pricing — tailored to your brand’s messaging volume, channels, and support needs. Includes full access to brand-compliant generation, audience-wide optimization, contextual messaging, omnichannel distribution, and governance features. Free demo available — no pricing tiers publicly listed.
Frequently asked questions
How much does Jacquard cost?
Jacquard offers custom enterprise pricing. There are no publicly listed monthly plans; you must book a demo to get a quote.
Is there a free trial for Jacquard?
Jacquard does not advertise a free trial on its website, but a free demo is available where you can see the platform in action.
What does Jacquard do?
Jacquard is an agentic enterprise platform that generates brand-compliant content at scale using AI, then optimizes and delivers that content across multiple channels to maximize conversions.
Who is Jacquard best for?
Jacquard is best for enterprise marketing teams (CRM, lifecycle, personalization) at large brands. It is not suitable for small businesses or solo marketers.
What are the main features of Jacquard?
Key features include brand-compliant generation with guardrails, audience-wide optimization, 1:1 contextual messaging, automated governance, omnichannel distribution (email, SMS, push, in-app, ChatGPT), and support for 27+ languages.
How does Jacquard compare to alternatives?
Jacquard differentiates itself from raw LLMs and copywriting assistants by enforcing deterministic brand guardrails and replacing A/B testing with mathematical certainty for optimization. It is enterprise-grade, unlike simpler tools like Jasper or Copy.ai.
