As you use our platform, you may come across some phrases you're unfamiliar with. Perhaps you're also seeing some words you recognise that we seem to be using differently.

We're happy explain our Jacquard terminology to make sure we're all speaking the same language.

Below you'll find definitions and example sentences for our some of our most common Jacquard terms.

Project

An organisational element that houses a collection of Jacquard experiments and defines their channel, language model, optimisation method and integration. (e.g. My U.S. English triggered message experiments are all grouped together under one Jacquard project.)

Experiment (previously Campaign)

A multivariate language test designed to find the most engaging message for your audience. (e.g. Jacquard tests as many as 10 variants in a single experiment.)

Variant

A unit or collection of language in a Jacquard experiment. (e.g. Every Jacquard experiment is used to find a winning variant.)

Broadcast message (previously Engage)

An email, push notification or SMS message a brand sends to a large audience or audience segment at once, usually promotional in nature. (e.g. Our weekly newsletter is a broadcast message sent to all our mailable users at once.)

Triggered message (previously React)

An email, push notification or SMS message that is triggered as part of a customer journey. (e.g. Customers received a triggered message as part of our abandoned cart campaign.)

Ad experiment (previously Attract)

A language-based multivariate test in a digital advertising channel. (e.g. Jacquard ad experiments work best in social, or display channels.)

Web experiment (previously Convert)

A language-based multivariate test on a website or landing page. (e.g. Testing our call-to-action language on our landing page was an incredibly impactful web experiment.)

App experiment (previously Convert)

A language-based multivariate test within an owned application. (e.g. Testing our in-app messaging with an app experiment lead to some astounding customer insights.)

Dynamic Optimisation (previously Phrasee X)

An experiment optimisation methodology that adjusts an experiment's language variant proportions in real time based on performance. (e.g. We're quickly able to remove lower performing variants in a test thanks to Dynamic Optimisation.)

Test and deploy / Test and send / Split test and deploy

A standard experiment optimisation methodology in which a test is conducted on a small portion of the audience in advance. After a period of time, a winning variant is chosen and then deployed to the remainder of your audience. (e.g. We're able to apply learnings from a small sample of our audience to the larger group with test and deploy.)