What is Letter Friend?
Letter Friend is a specialized service that enables businesses to send authentic handwritten letters through automation. The platform uses artificial intelligence to facilitate the creation and distribution of personalized handwritten correspondence, which is physically written by people in New Jersey without using fonts, robots, or printers. This approach aims to enhance customer relationships by delivering a personal touch that stands out from digital or printed communications.
The service integrates with various tools including CRM systems, web applications, APIs, Zapier, email, and CSV files, allowing for seamless campaign management. It supports end-to-end customizable campaigns with options to include additional items like business cards, gift cards, or chocolates. Letter Friend helps businesses increase response rates, drive word-of-mouth referrals, and improve customer loyalty through handwritten thank-you cards, referral requests, prospecting letters, and event announcements.
Features
- Real Handwritten Letters: Letters are physically written by people without using fonts, robots, or printers
- Integration Options: Send via web app, API, Zapier, email, or CSV with CRM automation
- Customizable Campaigns: End-to-end campaigns with options for additional items like business cards or gifts
- High Response Rates: Boosts email and phone response rates with 200%-500% more responses than printed mail
- Multiple Use Cases: Supports thank-you cards, referral requests, prospecting, reactivation, and announcements
Use Cases
- Sending thank-you notes after meetings or purchases to show appreciation
- Asking happy customers for referrals to generate qualified leads
- Prospecting for new customers with high-value targeting
- Resurrecting inactive customers or dead leads with personalized outreach
- Announcing products, services, or events to increase customer retention
Related Queries
Helpful for people in the following professions
Letter Friend Uptime Monitor
Average Uptime
100%
Average Response Time
203.33 ms
