Marketing & Growth

How to launch programmatic seo pages as Educators, Coaches, and Course Creators

Marketing & GrowthFor Educators, Coaches, and Course Creators2 apps12 steps~24 min to set up

You rebuild your cohort launch checklist from scratch every six weeks because it lives in your head, a Google Doc you can't find, and three different Slack threads. Your landing pages for each new cohort or course aren't tracked anywhere — you don't know which referral source drove signups, whether the SEO article you wrote in January is still sending traffic, or which opt-in page converts at 4% versus 11%. You're running PostHog or relying on Google Analytics but never opening it. ConvertKit shows email stats but not how they connect to Stripe revenue. You need programmatic landing pages for every course topic, coach persona, and city you serve — and zero budget for a growth marketer to build or monitor them.

Build this on Starch → See the apps used

Marketing & GrowthFor Educators, Coaches, and Course Creators2 apps12 steps~24 min to set up

Outcome

What you'll set up

A Growth Analyst app that reads your traffic and conversion data from PostHog, then emails you a weekly digest telling you which landing pages are driving course signups, which referrers are converting, and what to focus on next — without you logging into a dashboard.

A Knowledge Management app connected to Notion that stores your launch checklist, SEO content templates, and FAQ answers so you stop rebuilding them every cohort and your ops helper can find them without asking you.

A custom automation that pulls weekly signup and conversion data, cross-references it against your active landing pages and email sequences, and surfaces which pages need updating, which topics are driving organic interest, and where to publish next.

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

Growth Analyst Knowledge Management

Data sources & config

Growth Analyst uses PostHog connected from Starch's integration catalog (queried live when the weekly digest runs) and Gmail — Starch syncs your Gmail on a schedule — to deliver the digest. Knowledge Management syncs your Notion workspace on a schedule so pages, databases, and your launch checklist are searchable inside Starch. The weekly Slack automation uses Slack (Starch syncs your Slack workspace on a schedule) for delivery. No browser automation required for this stack, though Starch can automate any web-based course platform through your browser if a direct integration isn't available.

Prompts to copy

Connect my PostHog project and email me every Monday with: total signups this week vs last week, which landing pages drove the most conversions, top 3 referrers, and one specific thing I should test or publish next based on the data.

Build me a knowledge base from my Notion workspace that stores my cohort launch checklist, pSEO page templates, and student FAQ answers. Make it searchable so my ops helper can find the launch sequence for a new course without asking me.

Every Sunday night, pull my PostHog conversion data for all pages with 'course' or 'coaching' in the URL, compare this week to the prior four-week average, and Slack me a three-bullet summary: what's up, what's down, and the one page I should update or promote this week.

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

Walkthrough

Step-by-step

1 Connect PostHog from Starch's integration catalog. Starch queries it live each time your Growth Analyst digest runs — no scheduled sync needed, so you're always seeing current data.

2 Start from the Growth Analyst app in the Starch App Store. It's pre-built to read traffic and conversion data and email you a weekly digest; you customize it by telling Starch which PostHog events map to 'course signup' and 'page view' for your specific setup.

3 Tell Starch: 'Email me every Monday at 7am with this week's signup count, which landing pages converted best, the top three referral sources, and one specific recommendation for what to publish or test next.' Starch builds the automation from that description.

4 Connect Gmail — Starch syncs your Gmail on a schedule — so the Growth Analyst digest lands in your inbox rather than requiring you to log into another tool.

5 Connect your Notion workspace — Starch syncs Notion on a schedule — and start the Knowledge Management app. This becomes the single home for your pSEO content templates, cohort launch checklists, and the FAQ answers your students keep emailing you.

6 Tell Starch: 'Build me a searchable wiki from my Notion pages. Auto-categorize anything tagged Launch, SEO, or FAQ. Flag any page that hasn't been updated in 60 days as stale.' Your ops helper now has a self-serve answer system.

7 Build a custom automation on top: 'Every Sunday night, pull PostHog data for all URLs containing /course/ or /coaching/, rank them by conversion rate this week, and Slack me the top three and bottom three pages with their conversion rates.' Connect Slack — Starch syncs your Slack workspace on a schedule — for delivery.

8 Add a second automation for launch cadence: 'Two weeks before each cohort start date on my Google Calendar — Starch syncs Google Calendar on a schedule — send me the cohort launch checklist from my Notion knowledge base and remind me to update the landing page for that cohort.'

9 For any course platform not in the catalog (Kajabi, Teachable, Thinkific), Starch automates it through your browser — no API needed. Tell Starch: 'Log into my Kajabi account, go to the analytics page for [course name], and pull this month's enrollment count into my weekly digest.'

10 After two or three weekly digests, tell Starch: 'Compare the last four weeks of PostHog data. Which landing page topics consistently outperform others? Give me five title suggestions for new pSEO pages based on what's converting.' Use that output as your editorial calendar.

11 Publish your launch checklist and pSEO page templates to the Knowledge Management app so your ops helper can spin up new pages without you. Every new cohort, they follow the same documented process instead of asking you six questions.

12 Review the weekly digest on Monday, spend 20 minutes acting on the one recommendation Starch surfaces, and move on. The goal is a decision per week, not a dashboard to manage.

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

Spring 2026 Cohort Launch — 6 weeks out

Sample numbers from a real run

PostHog: /coaching/productivity-for-teachers page views (last 30 days)	1,840
PostHog: conversion rate to email opt-in on that page	6
PostHog: /coaching/online-course-creator page views (last 30 days)	390
PostHog: conversion rate to email opt-in on that page	2
Stripe new subscriptions attributed to /coaching/productivity-for-teachers (last 30 days)	11

Six weeks before the Spring 2026 cohort opens, your Monday Growth Analyst digest lands in your inbox. PostHog shows the /coaching/productivity-for-teachers landing page got 1,840 views last month at a 6% opt-in rate — 11 of those opt-ins converted to paid students in Stripe. Meanwhile, /coaching/online-course-creator got 390 views at a 2% opt-in rate and zero Stripe conversions. Starch's digest flags the second page as the one to fix this week and suggests testing a headline change and adding a testimonial from a current student. It also notes that your top referrer for the high-converting page is a Pinterest post from January, not the Google traffic you assumed. Your ops helper opens the Knowledge Management app, pulls the pSEO page template from the Notion-synced wiki, updates the underperforming page in 45 minutes, and logs the change. The following Monday digest will tell you if the conversion rate moved. No analytics login, no spreadsheet, no guessing which page to work on.

Measurement

How you'll know it's working

Landing page opt-in conversion rate by course topic (which pages turn visitors into email subscribers)

Referral source to paid enrollment attribution (which channel actually produces paying students, not just traffic)

Time from cohort announcement to 50% enrollment (is launch content working faster each cohort?)

Percentage of student FAQ questions answerable from the knowledge base without founder involvement

Weekly organic signups trend (are pSEO pages compounding over time or plateauing?)

Comparison

What this replaces

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

Google Analytics 4 + a spreadsheet

GA4 shows you traffic but you have to manually connect it to Stripe revenue and ConvertKit signups yourself, and you're the one who has to log in and build the report — Starch emails you the answer instead.

Kajabi or Teachable built-in analytics

Platform analytics only show activity inside that platform; they don't tell you which landing page or referral source drove a paid enrollment, and they have no connection to your email tool or calendar.

Notion as a standalone wiki

Notion stores the information but doesn't flag stale content, can't answer questions automatically, and doesn't connect to your PostHog or Stripe data — it's a filing cabinet, not an analyst.

Hiring a growth marketer (part-time or contractor)

A contractor can build a proper analytics setup but costs $2,000–$5,000/month and still requires you to brief them every cohort; Starch runs the same weekly digest automatically for a fraction of the cost.

ConvertKit or Mailchimp reporting

Email platform dashboards show open and click rates but have no visibility into which landing pages drove those subscribers or whether those subscribers became paying students in Stripe.

On Starch RECOMMENDED

One platform — growth analyst, knowledge management 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 Kajabi and Kajabi doesn't have an API connector in Starch. Can I still use this?

Yes. Starch automates Kajabi through your browser — no API needed. You describe what data you want pulled (enrollment counts, completion rates, student list), and Starch navigates your Kajabi account and retrieves it the same way you would manually. The same works for Teachable, Thinkific, or any web-based platform.

I don't use PostHog. I'm on Google Analytics. Does this work?

Connect Google Analytics 4 from Starch's integration catalog; the agent queries it live when your digest runs. The Growth Analyst app is built around PostHog by default, but you can tell Starch to use your GA4 data instead when you set it up. The weekly digest format stays the same.

Will Starch store all my student data and course content?

Starch syncs your Notion workspace on a schedule (so your wiki and templates live in Starch's database) and queries PostHog and other tools live when automations run. It's not a long-horizon data warehouse — it's built for live data surfaces and current reporting, not multi-year historical archives. If you need years of raw data stored and queryable, that's a different tool.

Is Starch SOC 2 certified? I have students who care about data privacy.

Not yet — Starch is not SOC 2 Type II certified. If your students are in regulated environments (healthcare, K-12 with FERPA requirements) and you need certified compliance documentation, that's worth knowing upfront. For most independent coaches and course creators, this isn't a blocker.

Can I use this for just one launch and then pause it?

Yes. Automations in Starch run on schedules you control — you can pause the weekly digest between cohorts, turn it back on six weeks before launch, and update the prompts for each new course topic. Nothing is running or costing compute when you pause it.

My ops helper is not technical. Can they actually use the Knowledge Management app?

That's exactly who it's built for. Once the Notion sync is connected and the knowledge base is set up, your ops helper searches in plain English and gets answers from your existing docs. They don't configure anything — they just ask and read. You're the one who does the initial setup by describing what you want to Starch in plain language.

How is this different from just checking PostHog myself every week?

The digest comes to you instead of requiring you to remember to open PostHog. More importantly, Starch surfaces a specific recommendation — not just data — based on what changed this week. You get three bullets and one action, not a dashboard full of numbers to interpret while you're also answering student emails and prepping Tuesday's session.