The KPIs That Actually Matter for Peptide Brands
Six numbers run a peptide brand: blended ROAS, contribution margin per order, CAC, 90-day LTV, repeat rate, and CAC payback period. Everything else is diagnostic. If you only track one, track contribution margin per order — it's the only metric that tells you whether growth makes you richer or poorer.
most peptide brands track the wrong things because the platforms hand them the wrong things. meta shows you platform ROAS, shopify shows you sessions and conversion rate, klaviyo shows you open rates. none of those tell you whether the business is working. the six metrics below do, and each one has a definition that matters — because the most common reporting failure isn't tracking the wrong metric, it's tracking the right metric with a sloppy definition.
the six that run the business
1. blended ROAS
definition: total revenue for the period divided by total ad spend for the period. all revenue, including email, organic, and repeat. all spend, across every platform. no attribution windows, no modeled conversions.
why it matters: it's the only ad metric that reconciles with your bank account. platform-reported ROAS routinely overstates by 20–60% because of attribution windows and modeling, and the gap widens as you scale. target range depends on your margin, but 2.5–4.5 is a healthy scaling range for most peptide offers with strong gross margin. for reference, wayyless ran a 4.45 blended on $4.3M in spend, producing $19.1M in revenue — that's what durable looks like at scale, and your number will depend on your own offer and cost structure.
how to break it: include only meta spend while running google and creator budgets too, or count revenue on a different date basis than spend. keep both on the same calendar period and include everything.
2. contribution margin per order
definition: AOV minus COGS, minus inbound freight, minus 3PL pick/pack, minus outbound shipping, minus payment processing, minus an allowance for refunds and chargebacks. this is the money the order actually contributes before you've spent anything to acquire it.
why it matters: it sets your maximum sustainable CAC. if contribution margin is $95, a $110 CAC means you lose money on every first order and are betting entirely on repeat purchases to bail you out. target: 55–70% of AOV for a healthy peptide brand.
how to break it: using 2.9% for processing when your high-risk rate is 4.5% plus per-transaction fees and a rolling reserve. forgetting shipping because 'shipping is free' — it isn't, you're paying it. ignoring refunds. these three omissions routinely make a losing business look like a winning one on a spreadsheet.
3. CAC (customer acquisition cost)
definition: total acquisition spend for the period divided by new customers acquired in that period. new customers — not orders. include agency fees and creative production costs if you want the fully-loaded version, which you should look at at least monthly.
why it matters: paired with contribution margin, it determines whether you can grow. target: CAC below 60% of first-order contribution margin gives you a business that's profitable on order one. CAC between 100% and 150% of first-order contribution margin can still work, but only if repeat rate and LTV genuinely support it and you have the cash to bridge the gap.
how to break it: dividing by total orders instead of new customers, which understates CAC as your repeat business grows and makes acquisition look like it's improving when it isn't.
4. 90-day LTV
definition: total contribution margin generated by a customer cohort in the 90 days after first purchase, divided by the number of customers in the cohort. margin, not revenue — LTV measured in revenue is a number you can't spend.
why it matters: it's what you can actually afford to pay for a customer. use 90 days rather than 'lifetime' because lifetime LTV is a projection and 90-day is a fact — and because 90 days is roughly how long your cash can wait. healthy target: 90-day LTV of at least 2x CAC.
how to break it: measuring by calendar period rather than by cohort. cohort measurement means you follow the january customers for their own 90 days. mixing cohorts makes trends invisible.
5. repeat purchase rate
definition: percentage of a customer cohort that places a second order within a defined window — use 90 days as the standard, and track 30 and 180 as secondary reads.
why it matters: it's the highest-leverage number in the business, because it changes how many new customers you need every month, which changes your entire spend requirement. target: 30–40% at 90 days for one-time-purchase models, 50%+ with a real subscription or refill product. under 20% and you're on an acquisition treadmill that gets harder every month.
6. CAC payback period
definition: how many days until cumulative contribution margin from a cohort equals what you paid to acquire it.
why it matters: this is a cash flow metric, and cash flow is what kills growing companies. a brand with great LTV and a 200-day payback can go broke while growing. target: under 60 days is comfortable, 60–90 is workable if you have capital, and over 120 days requires either financing or a slower growth rate. note that a rolling reserve on a high-risk merchant account extends your effective payback — factor it in.
margin builds the tracking and the engine together for high-end med spas — payments, store, ads, creative, and email — so the numbers you report are the numbers in your bank. book a call if your dashboard and your bank account disagree.
the diagnostic layer
these don't run the business, but when one of the six moves, these tell you why. check them when something changes, not every day.
- —site conversion rate — under 1.5% is an offer or page problem; over 4% usually means traffic is very warm and you may be under-spending.
- —AOV and its trend — the fastest lever on contribution margin.
- —creative hit rate — the percentage of new ads that clear your threshold. 10–20% is normal. if it's near zero, your angle bank is stale.
- —cost per click and click-through rate — early creative diagnostics that show fatigue before ROAS does.
- —email revenue as a share of total — should be 25–35% at scale. under 15% is money on the table.
- —refund rate and chargeback rate — chargebacks above 0.6–0.9% put your merchant account at real risk, so this is an operational alarm, not a marketing metric.
- —stockout days — invisible in every dashboard and directly subtracted from revenue.
the metrics to stop reporting
- —impressions and reach. they measure how much you spent, not what you got.
- —engagement rate. a peptide ad with high engagement is often just controversial.
- —follower count. no correlation with revenue in this category.
- —email open rate. broken since apple mail privacy protection; use click and revenue per recipient.
- —platform-reported ROAS in isolation. useful for comparing ads inside one account, dangerous for judging the business.
- —'total revenue attributed' from any single platform. every platform claims the same sale.
if a metric can go up while your bank balance goes down, it isn't a business metric. it's a mood.
a reporting cadence that works
- 1.daily (5 minutes): spend, revenue, orders, and whether anything is broken. you're looking for anomalies, not making decisions.
- 2.weekly (30 minutes): blended ROAS, CAC, new versus repeat order split, creative hit rate, and what shipped. this is where you make ad-level decisions.
- 3.monthly (2 hours): full contribution margin recalculation, cohort LTV, repeat rate by cohort, payback period, and channel mix. this is where you make budget and pricing decisions.
- 4.quarterly: pricing review, product mix, supplier terms, processor performance, and whether your target ranges still make sense at your current scale.
the most common failure isn't a missing metric. it's making monthly decisions on daily data. paid acquisition is noisy — a bad tuesday is not a signal, and reacting to it is how accounts get destroyed. set your decision thresholds in advance and only act on the cadence they belong to.
how to spot a lying dashboard
three reconciliation checks, run monthly. one: does the sum of platform-attributed revenue exceed your actual total revenue? if yes, you're double counting, and blended is your only trustworthy read. two: does your reported contribution margin times order count roughly equal your actual gross profit in accounting? if not, a cost is missing from the model. three: does your CAC times new customers equal your actual ad spend? if not, you're miscounting new customers.
run those three checks and most reporting problems surface immediately. none of this is financial advice, and your accountant should own the authoritative version of the P&L — these metrics are the operating layer that sits above it and lets you make decisions faster than a monthly close allows.
frequently asked questions
what's the single most important KPI for a peptide brand?
contribution margin per order. it determines your maximum sustainable CAC, it's the input to payback period, and it's the only metric that tells you whether more revenue makes you richer or poorer. brands that scale on revenue without knowing this number reliably discover the problem after they've spent the money.
what's a good blended ROAS?
2.5–4.5 is a healthy scaling range for most peptide offers with strong gross margin, but the correct answer depends entirely on your contribution margin. a brand with 70% margins can grow profitably at 2.2 blended; a brand with 40% margins needs 4+ to survive. calculate your breakeven blended ROAS as 1 divided by your contribution margin percentage, then set your target above it.
why is platform ROAS different from blended ROAS?
attribution. platforms count conversions within a click and view window and apply modeling, so they claim credit for sales that would have happened anyway and for sales other channels also claim. the overstatement commonly runs 20–60%. platform ROAS is still useful for comparing creatives inside one account — just never use it to judge whether the business is profitable.
how do i calculate LTV if my brand is only a few months old?
use 30- and 60-day cohort contribution margin and extrapolate cautiously, but make budget decisions on the actual data you have rather than the projection. early-stage brands consistently overestimate LTV because their first cohorts are warm buyers — existing patients, friends, early adopters — who behave nothing like cold traffic. wait for a cold-acquired cohort to reach 90 days before you let LTV justify a higher CAC.
what chargeback rate is dangerous?
most processors get concerned above roughly 0.6–0.9% and card networks have their own monitoring programs. in a health-adjacent category, chargebacks often come from unclear billing descriptors, subscription confusion, and unmet expectations — all of which are fixable with clearer descriptors, explicit subscription disclosure, honest product education, and responsive support. treat this as an operational alarm; losing a merchant account is far more damaging than the chargeback fees themselves.
how often should i change my ad budget based on KPIs?
weekly for meaningful changes, and only against thresholds you set in advance. daily fluctuations in a paid account are mostly noise, and reacting to them resets learning and destroys performance. the exception is a genuine break — tracking down, a payment failure, a stockout — which you should catch in a five-minute daily glance and fix immediately.
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