LlamaIndex moves new users from verification to product education, then an upgrade prompt. Its five-email onboarding sequence uses founder voice throughout and includes plain-text emails, credits, benchmarks, and product use cases.
Automated emails sent in order, on a timeline.
Standalone emails first, then the emails from its sequences, each in the order they arrived.
Day 1 after signupPart of a sequence
Day 2 after signupPart of a sequence
Day 3 after signupPart of a sequence
Updated Oct 3, 2026
LlamaIndex starts with a plain-text account verification email on signup day. It uses a single-CTA design and sends a one-time code that expires after 10 minutes; the preview text also tells unrequested recipients they can ignore the message. A welcome email arrives the same day, introducing LlamaParse with free starter credits and calls to try the product, read the documentation, and join the community.
The welcome email begins a five-email onboarding sequence. The next messages arrive on consecutive days, moving from document parsing to extraction and then evaluation. The final onboarding email is an upgrade prompt, while a webinar invitation arrives on the same day. A feature announcement follows on day 6, after the day 4 messages.
The sequence gives users a reason to start before presenting an upgrade prompt. The welcome preview text promises “10k free credits to get started with the world's best document OCR for your AI agents.” The next email positions LlamaParse around cost and accuracy, then the extraction email introduces schema-based workflows, performance options, and citations. The evaluation email adds ParseBench and ExtractBench for evaluating document ingestion accuracy and cost.
The upgrade prompt encourages LlamaParse users to upgrade to the PRO plan with limited-time free credits. It also invites larger customers to discuss enterprise discounts and premium support. The sequence therefore moves from product introduction to capabilities and evaluation, followed by an upgrade and support offer.
All five onboarding emails use a founder voice, and their subjects include sequence markers such as “🎉 Welcome to LlamaParse (1/5)” and “📄 Meet the world's best document parser (2/5)”. Seventy-five percent of the subject lines use an emoji, and the median subject line length is 41 characters. Another sequence subject is “📋 From docs to data: Let’s extract the good stuff (3/5)”.
The preview texts include a benefit, a question, and a practical use case. “So you want both cheaper and better?” creates a question, while “Schema-based extraction from documents” states the topic directly. The webinar preview names a concrete scenario: “Turn complex insurance docs into AI-ready context”. Among the onboarding emails, two use plain text. The welcome and extraction emails use a single CTA, the extraction and webinar emails are personalized, and the feature announcement uses video with blue and teal.
How often, when and how LlamaIndex emails its subscribers, measured from every email we received.
Every email LlamaIndex sent in its first month, grouped by the day it arrived.
Day 0
Signup day
Day 1
Day 2
Day 3
Day 4
Day 6
2 days later
Every subject line and preview text, in the order they arrived.
