Part of the guide: Network Marketing Lead Generation
I’ve been around this industry part-time since 2002. Over twenty years of watching companies rise, plateau, and quietly disappear has taught me one thing that nobody teaches new distributors: most of what gets celebrated on stage is a lagging indicator of nothing.
Enrollments. Rank advancements. Volume. Team size. All of it can be inflated, front-loaded, or bought with enthusiasm. None of it tells you whether a single human being outside your downline actually wants the product.
There is one number that does. It’s called the reorder rate, and if you’re new, it’s the first metric you should learn to calculate — for your own business, and for any company you’re considering joining.
In this guide
What a Reorder Rate Actually Measures
The reorder rate is simple: of the customers who bought your product in a given period, what percentage bought again in the next period without being recruited, pressured, or incentivized to do so?
That’s it. No stage lights. No compensation plan math.
The reason it matters is that reordering is the only behavior a customer performs when nobody is watching and nobody is paid to make them do it. Enrollment can be driven by a relationship. A first purchase can be driven by loyalty to a friend. A second purchase, made three months later, on a random Tuesday, with no conversation attached to it — that’s demand.
Everything else in this business can be manufactured. Repeat purchase behavior mostly can’t.
Why Beginners Get This Backwards
When you join a company, you’re handed a scoreboard. The scoreboard tracks recruits, volume, and rank. Nobody hands you a customer retention report, because the compensation plan generally doesn’t pay you on retention directly — it pays you on volume, and volume can come from anywhere, including from distributors buying their own product to stay qualified.
This is the trap. You can build something that looks like a business — real volume, real checks, real momentum — where the underlying demand is almost entirely internal. Everyone in the organization is buying. Nobody outside it is.
That structure has a name and a regulator. The FTC’s Business Guidance Concerning Multi-Level Marketing is explicit that compensation should be tied to real sales to real end users, and it directly addresses the question of whether purchases are made “because of actual consumer demand” or to qualify for compensation. The agency’s staff guidance on the topic makes the same point from the consumer side.
Read those two pages before you read another comp plan PDF. They’re short, they’re free, and they’re written by the people who decide what’s legal.
I’ve written more about the warning signs elsewhere — see MLM red flags for the broader pattern list. But if I had to compress that entire page into one diagnostic question, it would be: do people reorder?
How to Calculate It (Beginner Version)
You don’t need software. You need a spreadsheet and honesty.
Step 1: Define your period. Use whatever matches your product’s natural consumption cycle. A 30-day supply of something consumable? Use 30 or 60 days. A durable item? You’re measuring replenishment of a different kind, and the reorder frame may not apply cleanly at all — which is itself useful information.
Step 2: Count your genuine customers. This is where most people cheat themselves. A genuine customer is someone who is not a distributor, not enrolled in your downline, and not buying to help you hit a rank. If you can’t separate these groups in your back office, that’s a signal about the company, not about your bookkeeping.
Step 3: Count how many of them ordered again. Unprompted. A reorder that happened because you sent three follow-up messages and offered to cover shipping is a different thing than a reorder that happened on its own. Track both, but keep them in separate columns.
Step 4: Divide. Repeat customers ÷ total customers from the prior period. That’s your reorder rate.
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Step 5: Do it again next period. One number is a snapshot. Three numbers is a trend. The trend is what you actually care about.
I’m not going to hand you an industry benchmark, because any specific percentage you see quoted online is almost certainly either made up or lifted from a context that doesn’t match yours. Products, price points, and consumption cycles vary too much. What matters is your own trend line and the direction it’s moving.
What the Number Tells You
If it’s climbing: you have product-market fit with the people you’re serving. Lean in. Serve those customers harder. This is the boring, unglamorous version of building a real asset.
If it’s flat and low: the product is fine but you’re selling to the wrong people, or you’re selling on relationship rather than need. Fixable. Usually a targeting problem, not a product problem.
If it’s near zero: either the product doesn’t deliver on its promise, or every “customer” you have is really a favor being done for you. This is the hardest thing to look at honestly, and it’s the reason most people never run the calculation in the first place.
If you can’t calculate it at all — because the company doesn’t distinguish customer orders from distributor orders, or the back office won’t show you the data — treat that as an answer. Opacity is a finding.
Reorder Rate as a Company-Evaluation Tool
Before you join anything, ask the person recruiting you a version of this: “What percentage of company revenue comes from customers who aren’t distributors, and what’s the repeat purchase rate on that revenue?”
Watch what happens. Three possible outcomes:
- They know and they tell you. Rare. Excellent sign. Follow up with how the number is defined.
- They don’t know but they find out. Good sign about them personally, and the answer is worth waiting for.
- They redirect to the compensation plan, the founder’s story, or the ground-floor opportunity. You have your answer.
That third response is the one I’ve seen most often, and it’s what I wrote about in the complexity trap and the real customer. The pattern also travels — it shows up wherever recruitment economics get dressed up as product economics, which is why the same playbook keeps reappearing in new sectors.
The Uncomfortable Part
Tracking reorder rate will probably make your business look smaller than it feels. That’s the point. You are trading a flattering number for a true one.
The upside is that everything you build on top of a true number compounds. Customer acquisition costs make sense. Retention efforts have a measurable payoff. And when you recruit people who think like professionals, you’ll find they ask for exactly this kind of data — because they’ve run real businesses and they know that revenue without repeat purchase is just a series of one-time events dressed as a company.
I stepped back from doing this industry seriously years ago, and the reasons why come down largely to what I’m describing here. Too many organizations are optimized to produce impressive-looking activity rather than durable demand. The reorder rate is the cheapest tool I know for telling one from the other.
Where to Start
Open a spreadsheet today. Three columns: customer name, first order date, most recent order date. Fill it in from your back office. Count how many people have a most-recent date that’s different from their first.
That number is your starting line. Everything else is commentary.
If you want the broader framework for building on top of a real customer base rather than a recruiting funnel, start here.
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Worth saying plainly for whoever’s new to this: most people who open that spreadsheet in step one are going to find a lower number than they expected, and the article’s hoped-for outcome — that they act on it, fix onboarding, change who they target — is not the median response. The median response is to add another exclusion rule until the number looks better, or to decide their case is different. That’s not cynicism, it’s just what happens to most people who run any honest self-audit for the first time. The ones who actually change what they sell after seeing a bad number exist. They’re just rare, not impossible, and worth being honest with yourself about which one you’ll be before you open the sheet.
No benchmark given, fine, but the article also never states a minimum sample size for the exercise to mean anything. Kelsey’s n=61 — is that enough to trust 36%, or is that still noise? Below what count does ‘your own trend line’ stop being a trend and start being three data points with opinions attached?
Yuki’s question, sharpened: at what cohort size does month-over-month comparison become statistically meaningless rather than just imprecise?
Kelsey, catching your own autoship order before it skewed the number is exactly the kind of honest check most people skip. Good instinct.
Steps one through five here are literally a groupby plus join if your order data has customer IDs and dates, which most platforms export. Wrote a fifteen-line script that does this for anyone with CSV exports and Python installed. The hard part was never the math, it’s getting clean ‘is this person a distributor’ flags on old orders — that’s manual no matter what tooling you throw at it.
Trina, a script is a fine answer if you already write scripts. For the rest of the beginners this post is aimed at, ‘open a spreadsheet’ was already the accessible version. Not everyone needs the fifteen-line solution to get value from the three-column one.
Did the five-step version on my own list last month. Sixty-one customers going back a year, twenty-two showed a second order date different from the first. Took about ninety minutes, mostly spent untangling which orders were mine on autoship for demo purposes versus actual customers. That column matters more than the article makes it sound — I almost counted my own restock as a reorder.
Kelsey sorry if this is a silly question but when you say ‘second order date different from the first,’ does a refund or exchange count as an order too, because I think a couple of mine might actually be the same purchase just fixed, and I don’t want to fake my own number by accident.