---
title: "The 200-Unit Mistake That Changed How I Measure Demand"
url: "https://marketermagazine.co/insight/the-200-unit-mistake-that-changed-how-i-measure-demand/"
author: "Aviad Faruz"
published: "2026-09-25"
updated: "2026-09-25"
---

# The 200-Unit Mistake That Changed How I Measure Demand

In August 2025, I ordered 200 units of a product for my jewelry business. They did not sell.

I had treated signs of interest as proof of demand. The distinction sounds obvious after the fact. It was expensive before the fact. The stock tied up cash and turned a marketing judgment into an inventory problem.

That mistake changed the order in which I make decisions. I still use market research, search behavior and campaign data, but I no longer ask one signal to answer every question. Interest can justify another test. It cannot, by itself, justify a large inventory commitment.

### Good market research can still lead to a bad commitment

Market research is useful because it narrows uncertainty. The U.S. Small Business Administration recommends looking at demand, market size, customer location, market saturation and pricing. Those questions help a business decide where to investigate.

They do not all measure the same thing.

A search trend shows attention. A competitor selling a similar product shows that a market exists for someone. Survey responses show stated preferences. Clicks show that a message earned a response. None of those signals proves that a customer will buy your exact offer, at your price, within your delivery terms.

Google makes this limitation clear in its own documentation. Google Trends uses sampled, normalized search data and scales results from 0 to 100. Google also says Trends is not a scientific poll and that a spike should be treated as one data point among others. It is a useful listening tool. It is not a purchase order.

Research on purchase intentions reaches a similar conclusion. Vicki Morwitz, Joel Steckel and Alok Gupta found that the relationship between stated intent and actual purchasing changes with the product, time horizon, specificity of the question and study design. Intent matters, but it does not carry a fixed conversion rate into reality.

I had used evidence meant for exploration to support a commitment that was too large.

### The demand proof ladder

I now sort market signals into four levels.

### 1. Attention

This includes search activity, social reactions, page views, press interest and competitor visibility. Attention answers a useful question: are people noticing or exploring the problem?

The reasonable next step is more research or a small message test. The unreasonable next step is assuming the audience has accepted the product, price and timing.

### 2. Commercial intent

Intent appears when someone takes an action closer to a purchase. They may join a product waitlist, request availability, start checkout or respond to an offer that includes a real price.

This is stronger than a like because the person has seen some of the tradeoffs. It still may not survive shipping cost, delivery time or the moment payment is due.

### 3. A paid order

A transaction settles questions that clicks cannot. The buyer accepted the product, price and terms at least once.

One order proves one order. It does not establish a stable market. A single buyer can arrive because of a gift deadline, a narrow use case or a temporary spike in attention. The right response is to fulfil the order and keep learning, not automatically to multiply it into a forecast.

### 4. Repeated paid demand

Inventory becomes easier to justify when paid orders repeat across time. Repetition matters because it tests whether the offer can survive beyond one customer and one moment.

For [personalized necklaces](https://www.faruzo.com/personalized-necklaces/) at FARUZO, that means made-to-order production first. I consider buying ahead only after an item has sold steadily for months. The rule is deliberately slower than enthusiasm. It gives real orders time to contradict the story I want to believe.

### Match the evidence to the commitment

The ladder puts early signals to work without overrating them. Spend each signal on a decision it can support.

| Signal | What it can support | What it cannot establish | Reasonable next commitment |
| --- | --- | --- | --- |
| Search, traffic or engagement | There is attention around a problem or message | Buyers will choose your offer | Research the audience and test a specific message |
| Waitlist, product inquiry or checkout start | Some people accept more of the offer | They will complete payment in sufficient volume | Run a limited test with real price and terms |
| Paid orders | Buyers accepted the offer | Demand will continue | Fulfil through a low-risk batch or made-to-order process |
| Repeated paid orders | The offer has held across more than one moment | Demand will continue forever | Consider inventory in controlled steps |

This approach also changes how I read a campaign. A high click-through rate may tell me the creative found an interesting promise. It does not tell me that the item deserves shelf space. A campaign earns more budget or inventory only when the business result moves with it.

### Design tests that are allowed to fail

Many marketing tests are built to produce activity rather than a decision. The team launches ads, watches several metrics and explains the outcome after the money has been spent.

A better test begins with four written lines:

- What do we believe customers will do?
- Which behavior would support that belief?
- What result would stop the project or force a change?
- What is the smallest commitment that can produce a trustworthy answer?

Google Ads gives similar advice for campaign experiments: state a clear hypothesis tied to a business goal and keep records of previous tests. That discipline matters beyond advertising. A test becomes useful when its result changes what happens next.

For a product business, the smallest useful test might be a page with the real price and delivery window, followed by made-to-order fulfillment. For a campaign, it might be a limited budget against one defined audience, with completed orders as the decision metric. The exact test will vary. Keep the first commitment reversible.

The failure condition deserves as much attention as the success condition. If every outcome can be described as "promising," the test cannot protect the business from a confident mistake.

### Inventory is part of marketing

Marketers often treat inventory as an operations problem that begins after a campaign succeeds. For a small product business, inventory is part of the marketing decision. It is a bet on which message, customer and buying moment will repeat.

Made-to-order production is not possible for every product. When it is possible, it creates a useful delay between demand discovery and inventory commitment. When it is not, a small batch can serve the same purpose. Some risk remains, but the business pays for better evidence before paying for scale.

My 200-unit mistake made me stricter about what each signal is allowed to prove.

Attention earns research. Intent earns a test. A sale earns fulfillment. Repeated sales earn inventory.

That is the sequence I wish I had followed the first time.

---

Aviad Faruz is the CEO of [FARUZO](https://www.faruzo.com), where he works on ecommerce operations, inventory and automation.