Marketing & Growth

How to build lifecycle email flows as Educators, Coaches, and Course Creators

Marketing & GrowthFor Educators, Coaches, and Course Creators3 apps12 steps~24 min to set up

You built your course once. Now you rebuild the launch email sequence every cohort because ConvertKit tags got messy, Stripe says 47 people paid but your Teachable roster shows 43, and three students who enrolled two weeks ago still haven't received the welcome sequence. Your drip emails were written for a generic 'new subscriber' — not someone who bought Module 3 standalone, or a returning student who already finished your intro course. You're manually exporting CSVs from your course platform, pasting them into ConvertKit, and hoping the segment logic holds. It doesn't. Every cohort costs you four to six hours of list hygiene before you send a single email.

Build this on Starch → See the apps used

Marketing & GrowthFor Educators, Coaches, and Course Creators3 apps12 steps~24 min to set up

Outcome

What you'll set up

A lifecycle email system that triggers the right drip sequence automatically based on what someone bought, where they are in the course, and whether they've been going quiet — no more manual CSV exports between Stripe and ConvertKit

A student CRM that tracks enrollment status, module completion, last email opened, and last reply, so you can answer 'who's at risk of churning before the next cohort' in under a minute

A weekly digest that tells you which emails in your sequence are getting clicks, which students are disengaging at the same lesson every cohort, and what to fix before you launch again

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

CRM Email Agent Growth Analyst

Data sources & config

Starch syncs your Stripe data on a schedule (charges, customers, subscriptions) to power enrollment triggers and payment reconciliation. ConvertKit and Mailchimp connect from Starch's integration catalog — the agent queries them live when automations run to check subscriber status and log sends. Gmail syncs on a schedule for reading and drafting reply threads. Google Calendar syncs on a schedule to coordinate cohort launch dates. Teachable, Kajabi, and Thinkific are automated through your browser — no API required — so Starch can read module completion data and roster updates directly.

Prompts to copy

Build me a student CRM with fields for: enrollment date, course purchased (dropdown: Foundations, Advanced, Bundle), modules completed (number), last email opened date, last reply date, cohort number, and a churn-risk flag that turns red if they haven't opened anything in 14 days. Pull contact and payment data from Stripe.

Set up a lifecycle email sequence for new Foundations enrollees: Day 0 welcome with login link, Day 2 check-in asking if they've hit lesson 3, Day 7 a nudge if module 1 isn't marked complete, Day 14 a mid-course encouragement, Day 28 an upsell to Advanced for anyone who finished. Draft each email in my voice — direct, no fluff — and trigger them automatically when a new contact matches the segment.

Every Monday at 8am, email me a digest covering: open rates and click rates by email in my lifecycle sequence, which lesson in the course correlates with the highest drop-off in engagement, how many new students enrolled this week via Stripe, and one suggestion for which email in the sequence I should rewrite first.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Stripe (scheduled sync) so Starch has a live record of who paid, when, and for which product — this becomes the enrollment trigger that starts every lifecycle sequence.

2 Connect your course platform (Teachable, Kajabi, or Thinkific) through browser automation — Starch logs into your admin dashboard and reads module completion and roster data on the schedule you set, no API needed.

3 Start with the CRM app and describe your student schema in plain language: cohort number, course tier, modules completed, churn-risk rules. Starch builds the data model around how you actually track students, not a generic sales pipeline.

4 Connect Gmail (scheduled sync) so Starch can read student reply threads, flag unanswered emails, and surface students who've gone quiet — this is the signal that triggers re-engagement emails before someone asks for a refund.

5 Connect ConvertKit or Mailchimp from Starch's integration catalog — the agent queries your lists live when automations fire, checks whether someone is already in a sequence before enrolling them, and logs send events back to the CRM.

6 Describe your welcome sequence in plain language — tell Starch the emails, the timing, the conditions (e.g., 'only send Day 7 nudge if module 1 completion is still zero in the course platform data'). Starch assembles the automation and wires it to the Stripe enrollment trigger.

7 Set up the mid-course re-engagement automation: if a student's last email open is more than 14 days ago and they're less than 50% through the course, Starch drafts a personal-sounding check-in email for your review and queues it for send.

8 Build the upsell segment: after course completion is logged from the platform data, Starch automatically moves the student into the Advanced upsell sequence in ConvertKit — no manual tagging, no CSV export.

9 Set up the Growth Analyst app and describe your digest: open rates by email in the sequence, lesson-level drop-off correlation, weekly Stripe enrollment count. It emails you the summary every Monday before you start your week.

10 After your next cohort launch, ask the CRM: 'Which students enrolled more than 10 days ago and haven't opened a single email?' — use that list to manually reach out or trigger a deliverability-check sequence.

11 At the end of each cohort, ask Starch to reconcile Stripe payments against your course platform roster and flag any discrepancies — this replaces the Friday afternoon spreadsheet you've been doing manually.

12 Fork the sequence for your next course tier: describe the differences to Starch, and it builds a parallel lifecycle flow without overwriting your existing one.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →

Worked example

March 2026 Cohort 7 Launch — Foundations Course

Sample numbers from a real run

New Stripe enrollments (week of March 3)	34
Welcome email sent automatically within 5 min of payment	34
Day 7 nudge triggered (module 1 incomplete)	11
Students flagged churn-risk by Day 14 (no opens)	6
Re-engagement emails drafted and queued for review	6
Upsell emails triggered after completion (week 4)	9
Hours spent on list hygiene vs. previous cohort	0

Cohort 7 opened on March 3. Stripe logged 34 new charges across the Foundations tier; Starch picked up each one and triggered the welcome sequence within minutes — no CSV export, no manual tagging in ConvertKit. By Day 7, Starch had cross-referenced module completion data from the Teachable dashboard (read via browser automation) and found 11 students who hadn't touched Module 1. It fired the nudge email automatically. By Day 14, 6 students had still opened nothing — Starch flagged them in the CRM with the churn-risk indicator, drafted a personal check-in from your Gmail account, and put them in a review queue. You approved 5 of the 6 drafts with minor edits and sent them in under 15 minutes. Week 4, 9 students completed the course; Starch moved them into the Advanced upsell segment in ConvertKit the same day. Monday morning digest showed a 41% open rate on the Day 2 check-in email, a 19% open rate on the Day 14 encouragement (the lowest in the sequence), and noted that students who don't open by Day 10 almost never complete — giving you one concrete rewrite priority before Cohort 8.

Measurement

How you'll know it's working

Email open rate by sequence step — tells you which email in the drip is actually landing and which one you need to rewrite

Module completion rate at Day 14 — the leading indicator of whether a student finishes or ghosts before asking for a refund

Churn-risk flags resolved per cohort — how many at-risk students you caught and re-engaged before they went silent

Stripe-to-roster reconciliation gap — number of payments that don't match an active course account (your current Friday afternoon problem)

Upsell conversion rate post-completion — what percentage of students who finish Foundations buy Advanced within 30 days

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

ConvertKit alone

Great for writing and sending email sequences, but it has no connection to your course platform's completion data or Stripe's payment records, so your segments are always a step behind reality.

Kajabi all-in-one

Solves the integration problem if you're 100% inside Kajabi, but you lose flexibility when your stack includes tools outside it, and the automation logic is rigid compared to describing what you want in plain language.

ActiveCampaign + Zapier

Powerful combination but you're maintaining Zap logic every time a field name changes in your course platform, and there's no AI layer that notices a student going quiet and drafts the re-engagement email for you.

Manual cohort launch checklist (Google Sheets + copy-paste)

Zero cost and full control, but you're spending four to six hours per cohort on list hygiene that should happen automatically, and you have no signal on which email in the sequence is failing until a student emails you to complain.

On Starch RECOMMENDED

One platform — crm, email agent, growth analyst all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

My course is on Teachable / Kajabi / Thinkific and none of them have a real API. Can Starch still read completion data?

Yes. Starch automates your course platform through your browser — no API needed. It logs in the same way you do, reads the admin roster and completion data on a schedule you set, and uses that to drive automation logic like the Day 7 nudge. The browser automation approach is a first-class pattern, not a workaround.

Will this duplicate students who are already in my ConvertKit sequences?

The agent queries ConvertKit live before enrolling anyone in a sequence, so it checks whether a contact already exists and which tags they carry before doing anything. You describe the de-duplication logic in plain language — 'don't trigger the welcome sequence if the contact already has the Cohort 6 tag' — and Starch builds that check in.

I use Mailchimp, not ConvertKit. Does this still work?

Yes. Mailchimp connects from Starch's integration catalog and the agent queries it live the same way. The lifecycle automation logic is the same — you describe the sequence and the triggers, and Starch wires it to whichever email tool you're using.

Is Starch SOC 2 certified? I'm handling student payment data.

Not yet — Starch is not SOC 2 Type II certified as of today. If your institution or enterprise clients require SOC 2 compliance before connecting payment or student data, that's worth knowing upfront. For most independent course creators and coaches, this isn't a blocker, but it's an honest limitation.

What happens if the browser automation for my course platform breaks when they update their UI?

Browser automation is more brittle than a native API, which is the honest tradeoff. If the admin page layout changes, you'd need to update the automation. Starch will flag failures so they don't silently break your sequences. For critical triggers like the welcome email, you can add a Stripe-only fallback that fires regardless of course platform data.

Can I build different lifecycle sequences for students who bought different tiers — like Foundations vs. Advanced vs. a standalone module?

Yes. You describe the branching logic to Starch — 'if the Stripe product name contains Advanced, start the Advanced welcome sequence; if it's the Module 3 standalone, start the Module 3 drip' — and it builds the conditional routing. You're not limited to one sequence per account.

I don't use PostHog for analytics. Can the Growth Analyst still track my email performance?

The pre-built Growth Analyst app uses PostHog as its primary data source. For email-specific performance — open rates, click rates by sequence step — you'd build a custom digest app that pulls from ConvertKit or Mailchimp directly via the integration catalog. Describe what you want in your Monday email and Starch builds the custom version. It's not a pre-built template for that specific combination, but it's a straightforward custom build.