5 Numbers That Tell You If Your Business Is Healthy

Most founders check revenue every day. Revenue is the scoreboard, but it is a lagging indicator. By the time revenue drops, the cause happened two to four weeks ago.

Smart founders track leading indicators: the numbers that predict where revenue is headed before it gets there. Here are five that matter for solo product businesses, plus three ways most founders get the tracking wrong.

1. Customer Acquisition Cost by Channel

Your blended CAC is a vanity metric. It hides the fact that one channel is driving efficient customers and another is lighting money on fire.

Break it down by channel. If your Meta CAC is $32 and your Google CAC is $58, you are not learning anything useful from the blended number of $41. You need to know which channel to scale and which to cut.

The signal to watch: when your best channel's CAC starts creeping up. A 15 to 20% increase over 30 days usually means your audience is saturating. Time to refresh creative or expand targeting before efficiency collapses.

One thing founders miss here: CAC should include your time. If you spend 10 hours a week on organic TikTok content and that drives 30 customers, your "free" channel has a real cost. Value your time at whatever hourly rate would make you indifferent between working and not working. For most solo founders, that is somewhere between $50 and $150/hour. A channel that looks free at $0 CAC might actually cost $75 per customer when you account for the 15 hours you spent on it last month.

2. Repeat Purchase Rate

For product businesses, the difference between a sustainable business and a treadmill is repeat purchase rate. A business where 5% of customers come back is a business that needs to constantly find new customers. A business where 35% come back can grow with less spend.

Track this by cohort, not in aggregate. Your January cohort's repeat rate is a different number than your March cohort's. If the number is declining across cohorts, something changed in your product experience or post-purchase sequence.

The signal to watch: repeat rate by product. If your flagship product drives 40% repeat but your newer products drive 12%, your expansion strategy is diluting your economics.

Benchmarks vary wildly by category. Consumables (coffee, supplements, skincare) should target 30 to 50% repeat within 90 days. Durable goods (bags, furniture, electronics) might see 10 to 15% within a year, and that can be perfectly healthy if your margins support it. The number that matters is not the absolute rate. It is the direction. A repeat rate trending down across three consecutive cohorts is a problem regardless of where it started.

3. Email Revenue per Recipient

Open rates and click rates are activity metrics. Revenue per recipient tells you whether your email program is actually driving business.

Calculate it monthly: total email-attributed revenue divided by total recipients. If you sent to 10,000 people and generated $4,200, your RPR is $0.42. Track this over time. If RPR drops while your list grows, your new subscribers are lower quality than your existing base.

The signal to watch: RPR by flow (welcome sequence, post-purchase, browse abandonment, winback). One underperforming flow is an optimization opportunity. All flows declining simultaneously is a list quality problem.

A common trap: founders grow their list through giveaways or aggressive pop-ups, then wonder why RPR drops. You added 3,000 subscribers who wanted a free thing, not your product. Your list got bigger but your revenue per send got worse. If you ran the math, you might find that a 5,000-person list with $0.85 RPR generates more email revenue than a 15,000-person list with $0.22 RPR. List size is not the goal. Revenue per recipient is.

4. Gross Margin by Product

Revenue means nothing if you do not know what you keep. Most founders know their blended gross margin but do not track it per product.

A product that does $5,000/month at 70% margin contributes more profit than a product that does $8,000/month at 35% margin. If you are running ads to the lower-margin product, you may be growing revenue while shrinking profit.

The signal to watch: margin compression. If your bestselling product's margin dropped from 65% to 58% over three months, find out why before it drops further. Supplier cost increases, shipping rate changes, and rising return rates are common culprits.

Do not forget to include transaction fees in your margin calculation. Payment processing (typically 2.9% plus $0.30 per transaction), marketplace fees, and fulfillment costs all eat into margin. A product priced at $29 with a $10 COGS looks like 66% margin until you add $1.14 in processing fees, $4.50 in shipping, and $0.80 in packaging. Real margin: $12.56 on $29, or 43%. That is a very different number to make ad spend decisions against.

Behavioral economics research from Dan Ariely shows that prices are not just numbers. They are signals. The price you set anchors customer perception of your value, quality, and positioning. A $29 price point anchors differently than a $49 price point for the same product, not because the product changed but because the reference frame changed. When you find margin compression on a product, the answer is not always "cut costs." Sometimes the answer is "re-anchor the price." Adam Galinsky's research on anchoring shows that the first number a customer encounters explains 50 to 85% of their final value judgment. If your margin data tells you a product cannot sustain its current price, re-anchoring with a bundle or a premium tier can recover margin without losing volume.

5. Days of Runway at Current Spend

This is the number founders avoid. Total cash divided by monthly burn (all expenses minus all revenue). If you have $40,000 in the bank and you are burning $8,000/month, you have 5 months of runway.

The signal to watch: the trend. If your runway was 8 months three months ago and it is 5 months now, your trajectory is unsustainable at current spend levels. You either need to increase revenue faster than expenses or cut costs.

Runway is not just a startup metric. Profitable solo businesses should track it too. If you are doing $15,000/month in revenue and $12,000/month in expenses with $30,000 in the bank, you have 10 months of runway if revenue goes to zero. That sounds fine until you realize a single bad month (a supplier issue, a platform suspension, a product recall) could cut revenue in half and shrink your runway to 5 months overnight. The founders who survive disruptions are the ones who knew their runway number before the disruption hit.

The numbers you think matter but do not

Three metrics that solo founders over-index on, and why they are misleading in isolation.

Website traffic is the most common offender. You had 45,000 sessions last month, up 20% from the month before. Great. But if your conversion rate dropped from 2.8% to 2.1% over the same period, you actually generated fewer orders despite the traffic increase: 1,260 in month one versus 945 in month two. Traffic without conversion context is noise. You need both numbers, and conversion rate is the one that tells you whether your traffic is actually worth something.

Social media followers are the second trap. A founder with 50,000 Instagram followers and a 0.3% engagement rate reaches about 150 people per post. A founder with 3,000 followers and a 6% engagement rate reaches 180 people per post, and those people are more likely to buy because they actively chose to pay attention. Follower count is a vanity metric. Engagement rate multiplied by follower count, then multiplied by conversion rate, gives you the actual revenue potential of the channel. That is the number worth tracking.

Average order value is the third. AOV going up sounds great, but if it is going up because you eliminated your entry-level product and your total order count dropped 40%, you have not improved your business. You have just changed who can afford to buy from you. AOV is only useful in the context of total orders and total revenue. A $45 AOV with 200 orders beats an $80 AOV with 90 orders every time.

How often to check

Not every number deserves the same cadence. Checking all five daily will make you anxious and reactive. Checking monthly will leave you blind to problems until they compound.

A reasonable split: check runway and CAC by channel weekly. These are the numbers that can shift fast enough to require quick action. A sudden CAC spike from a platform algorithm change or a runway drop from an unexpected expense needs a response within days, not weeks.

Check repeat purchase rate, email RPR, and gross margin by product monthly. These numbers move slowly. Checking them weekly will mostly show you noise. Monthly gives you a real signal with enough data to be statistically meaningful. If you have low volume (under 100 orders per month), extend this to every 6 to 8 weeks so you are working with a sample that actually means something.

The most important thing is consistency. Pick a day. Block 30 minutes. Pull the numbers the same way each time. Write them down somewhere you will look at again. The pattern across months tells you more than any single snapshot.

The compound effect

None of these numbers are useful in isolation. The power is in watching them together. CAC rising plus repeat rate falling is a crisis. Email RPR growing plus margin stable is a sign you should scale email spend. Revenue flat plus runway shrinking means you are growing expenses faster than income.

Here is a real scenario: your Meta CAC jumps from $28 to $39 over three weeks. In isolation, that looks like an ad problem. But your repeat rate also dropped from 32% to 24% over the same cohorts. Now you are spending more to acquire customers who are less likely to come back. That is not an ad problem. That is a product or experience problem showing up in two different metrics simultaneously. The response is completely different: instead of tweaking ad creative, you need to dig into why customers are not returning.

Another one: your email RPR is climbing, your gross margin is holding steady, and your runway is growing. That is three green signals pointing in the same direction. Scale email spend. Increase send frequency. Invest in better segmentation. The data is telling you this channel works and your business can absorb the investment.

The synthesis across numbers is where strategic decisions live. It is also the part that takes the most time and the most context. Most founders either skip it entirely or do it once a quarter when things feel off. Stryder runs this synthesis every night and delivers the result every morning. Not five dashboards to check. One text with the numbers that shifted, what they mean together, and what to do about them.