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#809: Jacquard Chief Product & Growth Officer Toby Coulthard on sounding verifiably human in an AI world
Today, we’re going to talk about a paradox at the heart of modern marketing. Generative AI has promised unprecedented scale and personalization, but for many, it’s delivering a sea of sameness where brand voice gets lost. We’ll explore how to break free from this generic output, moving from a reactive “test and learn” model to a predictive one, and discuss the critical balance of combining AI’s power with essential human expertise to maintain brand soul, safety, and performance across countless channels. To help me discuss this topic, I’d like to welcome, Toby Coulthard, Chief Product & Growth Officer at Jacquard.
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Most popular terms
Absorptive Capacity
According to a research paper written in 2004 by Susan J. Harrington and Tor…
Attentive
Attentive is a personalized text message marketing platform that helps brands acquire, engage, and…
Average Time to Hire (ATH)
Average Time to Hire (ATH) is a human resources and recruitment metric that measures…
Multimedia Messaging Service (MMS)
Multimedia Messaging Service (MMS) is an enhancement of the basic Short Message Service (SMS)…
Out of Home (OOH)
Out of Home (OOH) advertising refers to any form of advertising media that reaches…
MoSCoW Method
The MoSCoW method is a prioritization technique used in project management and software development…
Cost Per Acquisition (CPA)
CPA is a marketing metric that measures the cost of generating a new lead…
Audience Growth Rate (AGR)
Audience Growth Rate (AGR) is the percentage increase in your total audience size over…
Lead Velocity Rate (LVR)
Lead Velocity Rate or LVR is a metric that measures a brand’s lead generation…
AIDA – Attention/Awareness, Interest, Desire, Action
AIDA is an acronym for Attention, Interest, Desire, and Action. It represents the four…
Subscriber Identity Module (SIM)
A Subscriber Identity Module (SIM) is a small electronic chip used in mobile devices…
History of E-Commerce
A brief history of E-commerce, from the early pre-internet foundations in the 1960s to…
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