Two hundred names are entered into the report. The campaign appears to have worked. The team starts calling and finds curious onlookers, incomplete registrations, people looking for something else, and a few real needs. At the end of the day, the quantity is still impressive. The sales forecast, however, is not.
The number in the title is part of a hypothetical scene, not an investigated campaign or a research sample. The question is about the difference between access to a contact and the existence of a demand. Confusing them can cause an operation to waste energy, bother people, and project revenue that doesn't yet exist.
The thesis of this report is that qualification works better as the construction of understanding than as a filter for who deserves to be served. It seeks to find out if there is a compatible need, a decision process, and the conditions to move forward. It is not meant to invent urgency or force a person to explain their budget.
A larger pipeline can coexist with a more difficult sale
The H1 update of Ebsta's 2024 B2B Sales Benchmarks presents an analysis of 4.7 million opportunities, across 566 companies, involving $57.3 billion in analyzed revenue. In this dataset, the report shows a 25% increase in pipeline creation and a 20% growth in sales cycles compared to 2023. The indicators are in the original publication.
The coexistence of these trends does not prove that generating contacts makes selling worse. It only shows that a larger pipeline, by itself, does not warrant the conclusion that closing has become easier. The dataset belongs to a company that provides sales solutions, not a probabilistic sample of the Brazilian market. Nor does it allow for its percentages to be applied to a specific store or rural dealership.
This cautionary note changes the interpretation. A benchmark can help formulate questions; it cannot be used to automatically explain a team's performance. Before comparing numbers, one must know what each operation calls an opportunity and when that record begins to exist.
What the campaign promised
Qualification begins before the first call. An ad offering educational content might generate interest in learning, not in buying. A form to receive a simulation may attract people researching future possibilities. The team transforms this behavior into immediate demand when it ignores the promise that originated the contact.
In Brazilian retail, an inquiry about availability may simply be a comparison between stores. In agribusiness, requesting the terms for a piece of equipment may be part of planning an operation that has not yet secured credit. These are hypothetical examples, presented to explain differences in intent, not to characterize all buyers in these sectors.
Calling these people bad leads shifts the problem. The contact may be legitimate and the company's expectation, inadequate. Understanding their stage of investigation allows for offering relevant information and halting commercial follow-up when there is no authorization or need.
The right question doesn't humiliate the buyer
Asking about use, timeframe, and restrictions helps to verify suitability. Demanding revenue figures or financial capacity without context can turn a useful conversation into an invasive screening. The customer needs to understand why the information is necessary and have the option of not providing it.
The process gains precision when it distinguishes a confirmed need from a team's hypothesis. There is a difference between the person saying they will evaluate suppliers this month and the salesperson concluding they seem ready. This distinction is especially important when bonuses are tied to opportunity creation, as the record may be a response to the internal incentive.
My interpretation is that qualifying also includes identifying what the offer does not address. An excessive tool, an unfeasible condition, or an operational incompatibility cannot be solved with persistence. Admitting this narrows the gap between what marketing attracts and what operations can deliver.
The cost of volume without continuity
Contacts who do not receive an adequate return may be lost, but responding quickly is not enough if the conversation is irrelevant. A script applied without considering the origin of the interest forces the buyer to repeat something they have already provided. The activity is logged, while the experience deteriorates.
The article about CRM and forgotten customers connects this point to the pipeline. The sales memory needs to preserve the reason for the interaction, not just the number of attempts. The link between the campaign and the service is worth more than an automatic, context-free sequence.
Comparing channels must also track what happens after qualification. One source might bring a few well-aligned opportunities; another, many research-oriented interactions. Performance is not just about the cost per lead. It needs to consider the work required, the actual purchase, and the quality of the relationship after delivery.
The learning that reports usually hide
A loss analysis can reveal that the audience was looking for a non-existent condition, that the solution was poorly explained, or that the contact found no room to decide. It must preserve the difference between explicit answers and inferences. Without this, the company learns from stories crafted to justify targets.
Nothing in the cited research proves a universal qualification script. What can be advocated is a discipline of evidence: recognizing when a demand exists, verifying who needs to participate, and defining a compatible next step. The customer is not an object to be pushed through the funnel at any cost.
An operation can reduce the number of recorded opportunities and improve the quality of its forecast. This is not giving up on prospecting, but refusing to let volume replace understanding.
When the next campaign delivers two hundred contacts, will the company know how many were looking to buy, how many were looking for information—and how many just responded to the wrong promise?
Sources and methodology
Ebsta — 2024 B2B Sales Benchmarks: H1 Update. First half of 2024 update: 4.7 million opportunities from 566 companies, $57.3 billion in analyzed revenue, and over 1.2 million hours of conversations. Observational commercial database, not a probabilistic sample of Brazilian companies; associations do not prove causality.
Opening photograph: illustrative image from Unsplash stock photography; it does not depict a company or case investigated in this article.