Jets.com Case Study
Project Overview
Industry
Private Aviation
AI Solution
Outbound propsecting LLM
Quick Brief
Develop an AI platform that is able to send prospects hyper-personalised sales and marketing emails at scale.
Customer Pain Points
Templated emails were innefective
Campaigns lacked personalisation
Inability to scale
What We Delivered
A custom-tuned LLM with built-in web scrapers that write and send personalised emails at scale.
End Results
Fully automated solution
Email open rate increased by 3x
Reply rate increased by 350%
Introduction
Conducting cold outbound prospecting campaigns to win the business of ultra-high-net-worth prospects has never been easy. Especially with the spam filter changes introduced by Google and Outlook at the start of 2024 which made landing in inboxes harder than it ever has been.
Sending standardised, templated, sales and marketing content has become increasingly less effective over the years and Jets.com were looking for a way to replicate the personalised emails that their sales team would send, but at scale.
The Solution
We built a custom-tuned LLM that sat behind a platform optimised for sending cold emails and acheiving the best possible deliverability metrics. We built tone of voice guidelines, product information and up-to-the minute information scraped about the target prospect into a model which was then able to craft and send hyper-personalised emails at scale through a platform which plugged directly into their brokers' mailboxes.
Further productisation
The foundations of this platform were what became our first commercially available product. We have since rolled out our custom email and LinkedIn prospecting solutions to over 50 different customers including a major global bank, b2b SaaS companies, private equity and insurance brokers.
Check out Perlon AI for more information.
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