Most side‑hustlers check their payment app more than their metrics—and that’s backwards. You launch a product, a few sales trickle in, your email list creeps up… but you can’t say *why*. In this episode, we’ll fix that by turning three simple numbers into clear, weekly decisions.
Firms that actually use their data grow about 30% faster per year, yet most side‑hustlers still run on vibes. You ship something, check your payment notifications, and keep grinding—but you’re not really testing, you’re just hoping. In this episode, we’ll turn your side‑hustle into a tiny “insight‑driven” business with a dead‑simple dashboard.
Here’s the twist: you don’t need 27 charts. You need three numbers, updated automatically:
- Revenue: how much money came in this week. - Customer or subscriber growth: how many new people joined. - Cost of acquisition or effort: how much money or time it took.
Pull these from tools you already use—Stripe or Gumroad for revenue, Mailchimp for subscribers, Google Analytics for traffic. The goal: glance once a week, in under 10 minutes, and still know exactly what to double down on next.
Most side‑hustlers already *have* the data they need—hidden in Stripe exports, Gumroad reports, email tools, and analytics—but it’s scattered and ignored. In a 2023 Indie Hackers poll, 67% of solo founders spent under 30 minutes a week on analytics once they automated their tracking. That’s the goal here: one simple view that updates itself so you can react fast. Think in small, testable windows: for example, compare last week’s $240 in revenue, 19 new subscribers, and 3 hours of effort to this week’s $410, 32 subscribers, and 4 hours. Now you’re not guessing; you’re running mini‑experiments.
Here’s how to turn those three numbers into something you can actually *use*.
Step 1: Decide your “unit of effort” Pick **either** money **or** time for your cost metric this month—don’t mix yet.
- If you’re running ads: track **ad spend** in dollars. - If you’re mostly hustling manually: track **time spent** in hours.
Example: You spend $60 on Twitter ads and $15 on Canva templates, or you spend 5 hours writing DMs and 2 hours recording a tutorial. Your effort number is either **$75** or **7 hours**.
Step 2: Define one clear source for each number Avoid hunting across five tools. Choose:
- One place for money in (e.g., Stripe **or** Gumroad). - One place for new people in (e.g., just your newsletter, not every social). - One place for effort (a simple log or ad account).
If you made $410 through Stripe, got 32 new subscribers in Mailchimp, and worked 4 hours this week, those are your three inputs—ignore everything else.
Step 3: Turn numbers into ratios Raw totals are nice, but ratios show what’s actually working.
Two powerful ones:
1. **Revenue per new person** - Formula: revenue ÷ new customers/subscribers. - Example: $410 ÷ 32 ≈ **$12.81 per new subscriber** this week. - Next week, if it’s $520 ÷ 21 ≈ **$24.76**, your audience grew slower—but each new person was more valuable. That usually means better targeting or a higher-priced offer.
2. **Revenue per unit of effort** - If you track money: $410 ÷ $75 spend ≈ **$5.47 per $1 spent**. - If you track time: $410 ÷ 4 hours = **$102.50 per hour**.
Now you can compare weeks even if totals differ.
Step 4: Make it automatic (but simple) Use whatever you already have:
- A Notion or Google Sheet page with three fields and two formulas. - A no-code tool (Airtable, Softr) pulling from Stripe/Mailchimp via Zapier/Make. - Many payment tools offer a basic “this week vs. last week” view—embed or screenshot that into your doc.
Aim for **under 30 minutes to set up** and **under 10 minutes to review weekly**.
Step 5: Decide with “if–then” rules Create tiny rules tied to your metrics. Example:
- “If revenue per hour drops below $40 for two weeks, I stop that channel.” - “If revenue per subscriber goes above $20, I double my effort on the source that drove them.”
Your challenge this week: Set up a single page (notebook, doc, or app) that shows **only**:
- This week vs. last week: revenue - This week vs. last week: new customers/subscribers - This week vs. last week: effort (money or hours) - Two ratios: revenue per new person, revenue per unit of effort
Then, write **one** if–then rule you’ll follow based on what those numbers say next week.
A freelance designer running a Notion template shop decides to watch one specific tweak for two weeks: adding a $29 “template + 20‑minute audit call” upsell. Week 1: 18 customers, $522, 6 hours of effort. Week 2 (with the upsell): 21 customers, $783, 7 hours. The change isn’t the totals—it’s the jump from **$29 per hour to $37** and from **$29 to $37 per customer**. That’s a clear signal to keep the upsell and test a higher price next.
Think of this like a doctor tracking three vitals during a new treatment: heart rate, blood pressure, and temperature. Any one reading in isolation can mislead; the pattern across all three tells the real story.
Try another scenario: You run a tiny course. Week A: 40 new subscribers, $320, 8 hours. Week B: 15 new subscribers, $450, 5 hours. On the surface, Week A “grew faster,” but **Week B earns $30 per subscriber and $90 per hour**. That’s the week you want more of—so you’d go back, tag where those 15 people came from, and deliberately send more traffic there next week.
As AI surfaces anomalies for you, your role shifts from “number collector” to “decision maker.” Instead of checking 20 charts, you might get one alert: “Conversion from TikTok dropped from 4.2% to 1.9% this week.” That’s a precise question to investigate, not a sea of noise. If you respond by running a quick $40 A/B test and recover even $120/month in lost revenue, that’s a 3× return—compounded over 12 months, you’ve added $1,440 from a single, fast reaction.
Your next level isn’t more hustle; it’s tighter feedback loops. Once this page is running for 4 straight weeks, zoom out: total revenue over 28 days, total new people, total effort. If $640, 80 people, and 16 hours becomes $1,280, 70 people, and 18 hours, you’ve doubled output with only 12.5% more time. That’s how tiny bets turn into real leverage.
Before next week, ask yourself: 1) “If I could only track three numbers for my business this month (for example: leads generated, sales calls booked, and revenue per week), which three would tell me most clearly whether I’m moving in the right direction—and why those three?” 2) “Looking at this past week, where did I actually spend time that I *thought* would move the needle, and what simple metric (like ‘DMs sent,’ ‘emails sent,’ or ‘landing page visits’) could I track daily to test if that belief is true?” 3) “If I opened a super-simple dashboard every morning—just a Google Sheet with 5 columns—what *exact* columns would I put in it, and how would seeing yesterday’s numbers change what I choose to do first today?”
