Reading Market Signals Early: Inquiries, Lost Deals, and Prices as Warnings

Why changes in the market are noticed so late

A business has a weak quarter. On closer inspection, it was foreseeable. Since spring, fewer inquiries had come from an industry that used to be reliable. More lost deals cited price as the reason. Two customers had mentioned that a new provider was considerably cheaper. Each of these observations was harmless on its own. Together, they were a warning that nobody read.

The central question, then: how does a small business recognize early from inquiries, lost deals, and prices that its market is changing, and when should it react? To answer it, we first clarify the terms, then introduce Ansoff’s model of weak signals, go through the three most important sources within the business, weigh when a signal should be taken seriously, and finally build an early warning sheet with a rule for the response.

The market announces its changes. It just does so quietly and in the sales team’s records.

Terms: market signal, leading indicator, noise

A market signal is an observation that points to a change among customers, competitors, or general conditions: fewer inquiries of a certain kind, a new reason for losing deals, a conspicuous price. Experts distinguish two kinds of figures. A lagging indicator measures a result that can no longer be changed, such as revenue or profit. A leading indicator measures something that precedes the result and that you can still influence, such as the number of open quotes. This distinction from the guide Sales KPIs for SMEs is the basis of any early warning system.

The counterpart of the signal is noise: fluctuations that arise by chance and mean nothing. A month with few inquiries may be due to holidays, a deal lost on price due to a single customer. The art lies in separating the one from the other without reacting to every fluctuation and without overlooking a real change.

The mental model: Ansoff’s weak signals and graduated response

Igor Ansoff (1975) described two difficulties of corporate planning. First, information about impending threats and opportunities is perceived too late to allow a timely response. Second, the planning cycle is too long for developments that escalate quickly. His answer: companies should pay attention to weak signals, meaning early, fuzzy clues whose causes and consequences are still unclear, and match their response to the quality of the information.

The core of the model is the graduated response. As long as a signal is weak, a large measure would be premature and expensive. But doing nothing would be just as wrong, because by the time the signal is strong enough to be certain, it is often too late for an inexpensive answer. That is why you start with steps that cost little and increase flexibility, and move on to larger steps as the information becomes clearer.

Three sources within the business: inquiries, lost deals, prices

Large companies conduct market research. A small business has something better: direct contact with every customer. Most signals are already in emails, quote lists, and conversation notes. They just need to be counted.

For the reasons behind lost deals, a simple list is enough, as described in the guide Analyzing lost orders, with a few fixed reasons such as no response, price, timing, competitor, and no need. Existing customers have signals of their own, such as growing intervals between orders or a change of contact person at the customer. The early warning system of five signals in the guide Why customers leave complements this sheet.

What research shows about perception and small businesses

George Day and Paul Schoemaker (2005) describe how many changes begin at the edge of a company’s field of vision, at its periphery. As with human sight, signals there are hard to see and interpret but can decide success or survival. Most companies, they say, lack a method for determining where to look, how to interpret weak signals, and how to allocate their limited attention. They propose working with questions, such as about one’s own past blind spots and about who in the industry picks up signals early.

For small businesses, there are some findings on the value of such an outward look. Orpen (1994) surveyed 51 small firms by telephone. Businesses with formal planning performed better financially, had more information about themselves and their environment, and made greater use of it in decisions. The acquisition and use of this information explained part of the advantage. Chebo and Kute (2019) studied 210 firms that had grown into mid-sized enterprises. Where developments in the environment were observed and understood, strategic practices such as learning from mistakes had a stronger effect on growth.

Both studies are small, rely on surveys, and show relationships, not causes. But they support a sober insight: the advantage does not come from more information but from using it for decisions. The guide Competitor analysis with little effort describes that experience alone does not protect you: in one study, industry experience even went along with a less accurate assessment of the competition.

Two views: overreacting or overlooking

The first view warns against overreaction. A small business has small numbers. With ten lost quotes per quarter, a pattern can easily be chance, as the guide to analyzing lost orders emphasizes. If you react to every fluctuation, you change prices, offer, and advertising every month, unsettle customers and employees, and learn nothing because no measure runs long enough.

The second view warns against overlooking. The case study Nokia shows how a market leader failed to take signals seriously because bad news did not travel upward. In small businesses too, unpleasant observations are readily dismissed as exceptions: a difficult customer, a bad month, a competitor who is overextending itself.

I consider both dangers real and see the solution in a fixed rule that I call the two-source rule. A single observation is recorded but not acted on. If two independent sources point in the same direction, for example falling inquiries from one industry and more deals lost on price from the same industry, the signal moves up one level in the graduated response. If this is confirmed over two months, the next level follows.

The early warning sheet: eight figures a month

The tool of this guide is a sheet with eight figures that is filled in once a month in half an hour. It complements the sales KPIs and the KPI dashboard with an outward view.

• Inquiries in total and by the two or three most important segments
• Average value of inquiries
• Share of lost deals with price as the reason
• Share of lost deals without a decision by the customer
• Number of mentions of a specific competitor
• Average discount customers requested
• Change in purchase prices of the three most important materials or services
• An open line for the unusual thing of the month

The last line is the most important for weak signals. It records what does not fit in any column: a new question three customers asked, a regulation a customer mentioned, an employee who moved to a competitor. More important than the individual value is the development over several months, as the following worked example shows.

From signal to decision

1. Write down the observation

   Record the signal with date and source and phrase an assumption in one sentence, for example: a new provider is winning customers in the food industry on price.

2. Look for a second source

   Check whether another source points in the same direction: lost deals, inquiries, existing customers, conversations with suppliers or partners.

3. Check inexpensively

   Ask five customers from the affected segment what has changed for them. Many answer openly when it is clearly about learning.

4. Grade the response

   Choose the response that fits the level of knowledge: observe, check, prepare, or act.

5. Set a date for review

   Decide when you will look at the signal again and how you will recognize that it has been confirmed or resolved.

Many signals concern buying behavior itself. Customers today research longer before they get in touch, and inquiries arrive later and with a shortlist. The article How business customers buy today describes what this means for interpreting inquiries: late inquiries are not automatically bad inquiries.

Conclusion and a first step

How does a small business recognize early that its market is changing, and when does it react? It counts once a month what inquiries, lost deals, and prices show, records the unusual in an open line, and watches the development over several months. Following Ansoff’s model, it responds to weak signals early but in a small way and increases the response as the information becomes clearer. The two-source rule protects against both errors, hasty action and overlooking. Research shows that the advantage does not come from more information but from using it for decisions.

1. This week: Create the early warning sheet with the eight figures and fill it in retroactively for the last three months as well as you can.
2. Next week: Introduce a fixed reason from a short list for every lost deal.
3. In a month: Fill in the sheet regularly for the first time and check every conspicuous figure with the two-source rule.

Surprises in the market are rarely truly surprising. Usually they just have not been counted.