Strategy & Planning

How to run a pricing analysis as Solo Media and Creator Founders

Strategy & PlanningFor Solo Media and Creator Founders3 apps12 steps~24 min to set up

You set your sponsorship rates two years ago based on a gut feeling and a blog post about CPMs. Since then your newsletter has grown from 3,000 to 18,000 subscribers, your podcast hit 40k monthly downloads, and you still charge the same $500 flat fee because you haven't had an afternoon to sit down and actually model what you should be charging. Your Stripe history is in one tab, your Beehiiv analytics are in another, your sponsor Google Sheet is a third, and there's no clean line connecting what you've earned, what the audience is worth, and what comparable creators charge. You're probably leaving $2,000–$4,000 per month on the table, but you can't prove it to yourself because the numbers are scattered.

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Strategy & PlanningFor Solo Media and Creator Founders3 apps12 steps~24 min to set up

Outcome

What you'll set up

A pricing model that ties your actual audience metrics — open rates, download counts, CPM benchmarks by niche — to a defensible sponsor rate card you can send without second-guessing yourself

A spend and revenue dashboard that pulls your Stripe payouts and Plaid transactions into one view, so you can see what you've actually earned per sponsor slot and where your costs are going

A scenario comparison that shows how your runway and monthly net changes if you raise rates 20%, add a third sponsor slot, or launch a paid tier — without touching a spreadsheet

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

Scenario Analysis Transaction Insights Growth Analyst

Data sources & config

Starch syncs your Stripe data on a schedule (charges, payouts, subscription revenue) and your Plaid bank transactions on a schedule (categorized spend, balances, recurring charges). PostHog is connected from Starch's integration catalog; the Growth Analyst queries it live when generating your weekly digest. Beehiiv or ConvertKit subscriber and open-rate data is pulled through browser automation — no dedicated API required.

Prompts to copy

Build me a pricing scenario tool for my newsletter and podcast sponsorships. My current baseline: 18,000 newsletter subscribers, 42% open rate, 40,000 monthly podcast downloads. I charge $500 flat per newsletter sponsor and $400 per podcast mid-roll. Scenario A: raise newsletter rate to $800 and podcast to $650, keep 2 slots each. Scenario B: hold rates, add a third slot. Scenario C: launch a $9/month paid tier targeting 3% of free subscribers. For each scenario show projected monthly revenue, annual run rate, and how each compares to my trailing 3-month Stripe average.

Show me every transaction from my connected bank accounts for the last 6 months, grouped by vendor. Flag any subscription charges above $50/month, any new vendors that appeared in the last 60 days, and give me a plain-English summary of what my business actually costs to run each month.

Connect to my PostHog data and email me a weekly digest covering: new subscriber growth by referral source, open rate trend over the last 4 weeks, which newsletter issues drove the most click-throughs, and one specific thing I should test or change next week based on what the data shows.

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

Walkthrough

Step-by-step

1 Connect Stripe: Starch syncs your charges, payouts, and any subscription revenue on a schedule. This becomes your revenue baseline — actual dollars earned per month, not projected.

2 Connect Plaid: Starch syncs your business bank account transactions on a schedule. You'll see exactly what the business costs to run: software subscriptions, contractor payments, equipment, platform fees — categorized and trended month over month.

3 Open Transaction Insights from the Starch App Store and run the prompt to surface your trailing 6-month spend breakdown. Flag every recurring charge above $50/month and every vendor that appeared for the first time in the last 60 days — this tells you what your fixed cost floor actually is.

4 Pull your current audience numbers: newsletter subscriber count and open rate from Beehiiv or ConvertKit (Starch automates the pull through your browser — no API needed), podcast download figures from your host, and your Stripe average monthly payout. Write these down as your baseline inputs.

5 Open Scenario Analysis from the Starch App Store and enter your baseline revenue and burn from steps 1–3. Your actual Stripe and Plaid data pre-populate the baseline so you're not guessing.

6 Define three pricing scenarios: current rates held flat, a rate increase (use CPM math — $25–$40 CPM on newsletters at your open rate is the industry range; model where you'd land), and a hybrid with a paid subscriber tier. The Scenario Analysis app shows monthly revenue, annual run rate, and runway for each side-by-side.

7 Research comparable creator rates. Starch automates browsing public sponsor rate card pages, newsletter advertising marketplaces, and podcast ad network CPM guides through browser automation — no manual tab-jumping required.

8 Connect PostHog from Starch's integration catalog and install the Growth Analyst app. Configure your weekly digest to cover new subscriber growth by referral source, open rate trends, and top-performing issues. This closes the loop between 'what you charge' and 'what's actually growing your audience.'

9 Build a custom sponsor pricing dashboard: tell Starch 'build me a dashboard that shows my Stripe revenue per month, broken out by sponsor name if I tag it in the payment description, alongside my Beehiiv open rate for the same week.' Starch assembles it from your connected data — no drag-and-drop, just describe it.

10 Set a quarterly pricing review automation: tell Starch 'every quarter, pull my average Stripe monthly revenue, my current subscriber count from Beehiiv, and my open rate trend, and send me a Slack message with a suggested rate adjustment based on my CPM target of $30.' Starch runs it on a schedule without you having to remember.

11 Update your sponsor rate card using the scenario output. The model gives you the numbers; you decide the positioning. Most solo creators at 15,000–20,000 subscribers with 40%+ open rates undercharge by 30–50% — the scenario comparison makes that concrete.

12 Archive your old Google Sheet. Your pricing logic now lives in Starch where it connects to real data, not a static file you update once a year and forget.

See this running on Starch

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

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Worked example

April 2026 Pricing Audit — The Informed Founder Newsletter

Sample numbers from a real run

Stripe payouts — Q1 2026 average monthly	3,200
Current sponsor revenue per issue (2 slots × $500)	1,000
Podcast mid-roll revenue (2 slots × $400 × 4 episodes/mo)	3,200
Plaid fixed costs — software, contractors, platform fees (monthly)	1,450
Scenario A: newsletter raised to $800/slot × 2 × 4 issues	6,400
Scenario A: podcast raised to $650/slot × 2 × 4 episodes	5,200
Scenario A projected monthly gross	11,600
Delta vs current run rate	5,200

The Informed Founder Newsletter has 18,400 subscribers and a 43% open rate. The founder has been charging $500 per newsletter sponsor slot for 18 months. Running the Transaction Insights app against connected Plaid data shows $1,450/month in fixed costs — Beehiiv Pro, Riverside, a Notion team plan, and two contractor invoices. Stripe shows $3,200/month average payout in Q1, which pencils out to the two newsletter slots plus four podcast episodes at $400 mid-roll. The Scenario Analysis baseline matches: $3,200/month gross, $1,750/month net. Scenario A reprices the newsletter to $800/slot (implying a $22 CPM on 18,400 subscribers at 43% open rate — conservative for a B2B audience) and the podcast mid-roll to $650 (against 40k monthly downloads, this is a $16 CPM — still below industry floor for a business niche). Projected monthly gross under Scenario A: $11,600. Net after the same $1,450 cost base: $10,150. The delta is $5,200/month, or $62,400 annualized — on no new audience growth, just updated rates. The Growth Analyst weekly digest confirms the open rate has been stable at 41–44% for six weeks, which removes the one objection a sponsor might raise. The founder uses this output to rebuild the rate card and sends it to three active sponsors with a 60-day rate increase notice.

Measurement

How you'll know it's working

Revenue per subscriber per month (Stripe payouts ÷ total subscriber count, tracked monthly)

Effective CPM on newsletter placements (sponsor fee ÷ (subscribers × open rate / 1,000))

Sponsor slot fill rate — what percentage of available slots were sold in the last 90 days

Net creator margin — monthly Stripe payouts minus Plaid-tracked fixed costs

Open rate stability over trailing 8 weeks — the single metric sponsors ask about most

Comparison

What this replaces

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

Google Sheets with manual Stripe and Beehiiv data exports

Free and familiar, but you're copy-pasting numbers every time you want to rerun the model, the data is stale the moment you export it, and the sheet doesn't update when your audience grows or your costs change.

Beehiiv or ConvertKit native analytics

Shows you subscriber and open-rate data well, but has no connection to your Stripe revenue, your bank spend, or any scenario modeling — it's the publishing layer, not the business layer.

Creator-focused spreadsheet templates (e.g., from creator economy newsletters)

Good starting-point structure, but static inputs that require manual updates quarterly, no live data connections, and no scenario comparison across multiple pricing hypotheses simultaneously.

Pilot or Bench for bookkeeping

Handles your accounting correctly and is worth having for tax purposes, but gives you backward-looking categorized spend — not a pricing model, not scenario analysis, and not connected to your audience metrics.

On Starch RECOMMENDED

One platform — scenario planning, transaction insights, 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 newsletter is on Beehiiv, which isn't listed as a scheduled-sync provider. Can Starch still pull my subscriber and open-rate data?

Yes. Starch automates Beehiiv through your browser — no API required. You log in once, and Starch can pull subscriber counts, open rates, and issue-level performance data as part of any app or automation you build. It's the same approach Starch uses for any web-based tool that doesn't have a formal integration in the catalog.

I track sponsors in a Google Sheet right now. Does Starch replace that or connect to it?

Both options work. You can connect Google Sheets from Starch's integration catalog — the agent queries it live when your dashboard or automation needs it. Or you can describe the sponsor tracker you actually want and Starch builds it as a native app: 'Build me a sponsor CRM that tracks company name, contact, rate negotiated, issue date, payment status from Stripe, and open rate for that issue from Beehiiv.' Most creators find the native app more useful than the sheet because it's connected to live payment data.

I don't use PostHog — I'm not a SaaS company. Is Growth Analyst useful for a media business?

Growth Analyst is built around PostHog as its primary data source, so it's most immediately useful if you have a web property with PostHog installed — a newsletter landing page, a paid community site, or a course platform. If your analytics are entirely inside Beehiiv or YouTube Studio, you'd build a custom growth dashboard instead: describe what you want to track and Starch pulls it together from the sources you actually use.

Will this tell me what other creators in my niche charge for sponsorships?

Starch can automate browsing public sponsor rate card pages, newsletter advertising marketplace listings, and podcast ad network rate guides through browser automation — no API needed. It won't give you a clean database of private rate cards (those don't exist publicly), but it can pull and summarize what's publicly disclosed and help you benchmark your CPM against published ranges for your audience size and niche.

Is my Stripe and bank data stored somewhere I should worry about?

Starch is not SOC 2 Type II certified yet — that's worth knowing if you have a strict compliance requirement. For most solo creator businesses, the relevant question is whether you're comfortable connecting financial data to an AI platform. Starch stores scheduled-sync data (your Stripe charges, Plaid transactions) in its own database to power the live dashboards and automations. If that's a dealbreaker for your situation, it's an honest limit of the product today.

How often does the pricing model update with new data?

Your Stripe and Plaid data syncs on a schedule automatically — you don't have to re-pull it every time you want to check the model. The Scenario Analysis app recalculates against your current baseline whenever you open it or when you trigger it as part of an automation. If you want a monthly pricing check-in, you can tell Starch: 'On the first of every month, recalculate my three pricing scenarios using last month's Stripe average and current subscriber count, and Slack me the summary.'