Lead

A lead is a person or organization that has left some trace of interest in your product or service (filled out a form, requested a quote, sent a WhatsApp message, downloaded a resource) and whose contact details were recorded, but that has not yet been qualified as a real buying opportunity. It is the first named link in the sales process: the point where an anonymous visitor becomes an actionable contact.

The key idea is that a lead is not yet a customer or a sale, it is a hypothesis. It may have plenty of interest and budget, or it may have left an email address just to download a PDF. That is why the next job is to separate the wheat from the chaff: find out whether it fits your ideal customer and whether it has real intent. That orderly lead management is part of what a sales CRM like Sellium structures, capturing each contact, enriching it and pushing it through the stages until it is converted (or discarded).

In a sales team's day-to-day work, "lead" is the most used noun in the pipeline: leads are generated, leads are qualified, leads are assigned to sales reps and teams measure how many leads it takes to close a sale.

Where a lead comes from

A lead is born every time someone leaves actionable information, either in exchange for something or on their own initiative. Typical sources at a B2B company in Latin America are: the website's "Contact us" form, an inbound message through the WhatsApp Business API, the download of an ebook or case study behind a form, a campaign landing page, a trade show or event, a purchased list (the lowest-quality source) or a referral from a current customer. Each source brings leads of very different quality: someone who requested a demo is worth much more than someone who only downloaded a PDF.

The difference between channels comes down to where the intent originates. An inbound lead comes in on their own because they found your content or your brand and raised their hand; an outbound lead is someone you identified and contacted cold (through an SDR or a prospecting sequence). Inbound leads usually have a better conversion rate because there is prior interest; outbound leads provide more volume and more control over who you target.

Lead, contact and prospect: why they are not the same

These three terms are used as synonyms in everyday conversation, but it pays to keep them apart because they mark different stages and obligations. A contact is simply a person with details in your database, regardless of whether they showed interest (it could be a supplier, a former customer or someone you entered by hand). A lead is a contact who has also expressed interest and whom you have not yet qualified. A prospect is a lead who has already passed a first filter and seems to fit as a potential buyer, in other words someone worth working actively. In Salesforce, for example, the "Lead" object is deliberately separate from the "Contact" object: the lead lives on its own until it is converted, and only then does it become a contact linked to an account and an opportunity. Keeping this hierarchy clear prevents inflated reports ("I have 5,000 contacts" is not the same as "I have 5,000 active leads") and helps apply the golden rule: each stage triggers a different action and a different metric.

Why measuring them well matters

If you do not record leads in an orderly way, the funnel becomes a black box: you do not know how many contacts come in, how many move forward or where they drop off. Keeping count of leads lets you calculate the conversion funnel, the CPL (how much it costs you to generate each lead) and the conversion rate from lead to opportunity and to sale. Without those numbers, you cannot tell whether you should invest more in marketing or in more sales reps, or detect in time that a channel grew in volume but dropped in quality.

A very common mistake at Argentine SMBs is treating every lead the same and "chasing" even the ones that clearly do not fit, burning the sales reps' time. The other extreme, just as costly, is leaving leads unanswered for days: the probability of reaching a lead drops sharply after the first few minutes, so response speed usually matters more than the sales script. Every lead that comes in is a window that closes quickly, and the cost of not following up on it does not show up in any report, but you pay it anyway.

Lead, MQL, SQL and opportunity: the maturity path

The lead is the start of a chain of statuses. As it shows interest and fit, it "moves up" a category. Don't mix up the terms, because each one triggers a different action:

The transition from lead to MQL to SQL is what is called lead qualification, and it relies on behavioral signals (opened emails, visited the pricing page) and profile signals (company size, role, industry). To automate part of that decision, many teams use lead scoring, which assigns a score to each contact, and frameworks such as BANT or the ICP to define what a "good lead" is.

How a lead is worked, step by step

• Capture: the data enters the CRM with its source identified, ideally without being typed in by hand.
• Enrichment: it is completed with company data, role and the need detected.
• Qualification: fit (ICP) and intent are assessed to decide whether it moves forward.
• Assignment: it is routed to the right sales rep by territory, product or size.
• Nurturing: if it is not ready yet, it enters lead nurturing (content and follow-up) until it matures.
• Conversion: when there is a concrete deal, it becomes an opportunity in the pipeline.

A concrete example

An industrial supplies distributor in Córdoba publishes a maintenance guide behind a form. In one week, 80 leads come in. Marketing sees that 25 of them opened the follow-up emails and visited the products page: those become MQLs. An SDR calls them and confirms that 9 are companies of the right size with a purchase planned for the quarter: those 9 become SQLs and are assigned to sales reps, who open the opportunities. Of those, two close. The value of the exercise is that the company now knows it needs about 80 leads from that source to close 2 sales, and it can decide with data how much to invest in the next campaign.

Common mistakes to avoid

• Confusing a lead (interest) with an opportunity (a deal with an amount): it inflates the projection and throws off the sales forecast.
• Not recording the lead's source, which makes it impossible to know which channel is worth it.
• Responding late: every hour that passes lowers the chance of making contact.
• Qualifying "by gut feel" without a written criterion (ICP or BANT), which fills the pipeline with contacts who were never going to buy.