Lead generation is the process by which an organisation identifies potential customers, collects their contact details and guides them towards a sales assessment. A lead has shown interest by leaving information that allows them to be contacted again; the next step is to understand how well that contact fits the offer and how close it is to a purchasing decision.
Lead generation sits within a broader system of marketing and communications: it can draw on content, SEO, advertising, webinars, events, referrals, outbound and campaigns on professional platforms, while social media management can help reach and nurture specific audiences. The system starts to work when marketing and sales share clear criteria for deciding which contacts deserve priority and when they should pass from one function to the other.
This point is particularly important in B2B. Salesforce describes qualification as a joint effort between marketing and sales, useful for establishing which opportunities deserve time and resources. The guide also distinguishes between MQL and SQL based on fit, interest and purchase readiness.
Leads, MQLs and SQLs: what changes
The acronyms only make sense if the company defines them in operational terms.
Lead. An identifiable contact who has left their details or started an interaction that allows a follow-up.
MQL – Marketing Qualified Lead. A lead that meets criteria defined by marketing: it may belong to the right segment, hold the right role, show a sufficient level of interest or reach a set lead-scoring threshold.
SQL – Sales Qualified Lead. A contact that the sales function considers a good enough fit and close enough to purchase to warrant a sales conversation.
The gap between MQL and SQL is one of the places where the quality of alignment between marketing and sales becomes visible. When the two departments use different criteria, sales receives contacts it considers premature and marketing measures results that do not progress through the funnel.
Salesforce suggests building the hand-off using profile information, signals of interest, need, budget and timing. The distinction between MQL and SQL is also set out in its guide to sales-qualified leads.
From cost per lead to cost per customer
Four measures in sequence: each further down the funnel and more expensive than the last
Assesses channel efficiency at the top of the funnel
Measures the cost of initial quality
Connects marketing and the sales pipeline
Enables comparison with margin and customer value
A low CPL can coexist with few SQLs and a very high CAC: reporting that stops at the first step does not show it.
How much a lead costs
Cost per lead, or CPL, divides the spend on a campaign by the number of leads generated. It is a useful metric for comparing similar activities and becomes far more informative when read alongside the quality of the contacts.
There is no single benchmark for lead generation: channel, sector, geography, average contract value, length of the sales cycle and the very definition of a lead all produce very wide differences.
Paid search offers a useful reference for the order of magnitude. WordStream analysed 13,474 US Search campaigns running between April 2025 and March 2026: the overall median CPL was $66.69. For Business Services the figure was $93.69, for Industrial & Commercial $75.19. The report specifies that these are Google and Microsoft Ads benchmarks for the United States, so these figures should be used as a channel comparison, not as a price list for lead generation in Italy.
CPL shows the cost of entering the funnel. To understand real efficiency you need to go at least as far as cost per MQL, cost per SQL and CAC, that is, the cost of the customer actually acquired.
| Metric | What it measures | Why it matters |
| CPL | Cost per contact generated | Assesses channel efficiency at the top of the funnel |
| Cost per MQL | Cost per contact that passes marketing criteria | Measures the cost of initial quality |
| Cost per SQL | Cost per lead accepted or qualified by sales | Connects marketing and the sales pipeline |
| CAC | Cost per acquired customer | Enables comparison with margin and customer value |
The Bliss guide to business KPIs explores the criteria that make a metric genuinely useful to management: a stable definition, target, threshold, owner and resulting decision.
Lead generation channels and how they behave
Each channel captures a different stage of demand and needs a different length of time to produce results.
Organic search and content. These reach people who are already looking for information, categories or solutions. The assets built over time can keep generating traffic and contacts long after publication.
Paid search. Captures demand that has already been expressed and allows campaigns on high-intent queries to be activated quickly. The cost depends on competition and on the quality of the funnel after the click.
Social and professional platforms. These make it possible to reach defined audiences even before an active search. In B2B they can be useful when role, sector and company size are important qualification criteria.
Outbound. Works on accounts and contacts identified upfront. It works best when the potential market is narrow, contract value is high and personalisation justifies a higher operating cost.
Referrals and word of mouth. These start from existing customers, partners and relationships. Their quality depends on the organisation’s ability to make systematic a behaviour that is often left to chance.
The choice of mix depends on the size of demand, customer value and how quickly pipeline needs to be built. A company can use several channels and assign each a different role, rather than asking all of them to produce the same type of lead.
For B2B companies, this logic is explored further on the Bliss page dedicated to B2B marketing, where positioning, funnel and acquisition are considered together with the sales cycle.
Cost per lead in paid search
Median values in dollars, Google and Microsoft Ads campaigns in the United States
Source: WordStream, analysis of 13,474 US Search campaigns running between April 2025 and March 2026. The dashed bar is the median across all sectors, not a single sector. These are channel benchmarks for the US market: they are not a price list for lead generation in Italy.
How to build the qualification system
Qualification must be designed before volume grows. Four elements are particularly useful.
- Ideal Customer Profile. Describes the characteristics of the companies or people most likely to derive value from the offer: sector, size, problem, role, structure and other genuinely relevant criteria.
- Lead scoring. Combines profile signals and behavioural signals. Sector and role describe fit; pages visited, enquiries, downloads, replies and interactions help gauge the level of interest.
- Hand-off threshold. This determines when a contact passes from marketing to sales. The threshold should be calibrated on real data: which profiles generated opportunities and which became customers.
- Periodic review. Markets, offerings and customer mix change. Marketing and sales should therefore review the definitions together, looking at conversion between stages, reasons for rejection and the quality of opportunities.
Speed of response matters
Once a lead is generated, time enters the system. Research published by Harvard Business Review in 2011 analysed 2,241 US companies and a second dataset of 1.25 million leads. Companies that tried to contact a lead within an hour were nearly seven times more likely to qualify it than those that waited an hour longer, and more than sixty times more likely than those that waited at least a day. The study is “The Short Life of Online Sales Leads”.
The data is historical, yet the operating principle remains highly relevant: an inbound contact often arises at the moment someone is actively assessing a problem. Routing, ownership and follow-up times should therefore be designed together with the campaign.
The mistakes that make the system expensive
The first mistake is measuring volume before quality. A form that generates many off-target contacts can look efficient while simply passing useless work on to sales.
The second is building forms that collect no information useful for qualification. Two or three well-chosen questions can help establish context, size, problem or urgency, and allow follow-ups to be handled differently.
The third is leaving the ideal customer implicit. When marketing and sales work with different pictures of the target customer, keywords, messages, channels and hand-off criteria begin to diverge.
The fourth is stopping reporting at CPL. A low cost per lead can coexist with few SQLs and a very high CAC. That is why campaign data must flow all the way through to the CRM, the pipeline and the acquired customer.
It is the same logic we applied to Social Media Analytics: platform data acquires meaning when it is linked to the objective and to the decisions that follow.
Likelihood of qualifying a lead by response time
Index: companies responding after at least one day = 1
Source: Harvard Business Review, The Short Life of Online Sales Leads, 2011, covering 2,241 US companies and 1.25 million leads. The study reports two comparisons: companies that respond within an hour are about seven times more likely to succeed than those that wait an hour longer, and about sixty times more likely than those that wait a day or more. The intermediate value in the second bar is derived from the ratio between the two and does not appear as such in the research. The data dates from 2011: it serves as an order of magnitude, not as a current measure.
Lead generation starts before the campaign
Part of performance originates before the form. Branding builds recognisability and trust, while a clear unique selling proposition helps people grasp quickly why that offer deserves attention. Those who reach the point of contact with these elements already in place start from a different level of awareness.
This is why acquisition should be read alongside Brand Awareness. In B2B, the awareness that matters concerns the decision-making segment: already being present in buyers’ minds can make it easier to gain attention and open a conversation.
Consistency between the message and the organisation’s ability to deliver on its promises also matters. A lead generated through inflated expectations can enter the funnel easily and become expensive later on, when mismatches, lengthy negotiations or weak retention emerge.
When funnels, tracking and conversions produce lots of numbers and few answers, a Marketing Audit can help identify where the journey from traffic to lead, opportunity and customer breaks down.
Build an acquisition system that holds up over time
Good lead generation makes it progressively clearer how much it costs to turn attention into opportunity and how much value each channel produces.
If you want to understand where your funnel is losing opportunities, book a conversation with Bliss. A thirty-minute conversation will help examine tracking, qualification criteria and channel performance to identify which steps need correcting before the budget is increased.
Domande frequenti
What is the difference between a lead, an MQL and an SQL?
A lead is an identifiable contact who has shown interest. An MQL meets criteria defined by marketing in terms of fit or behaviour. An SQL is a contact that sales considers qualified enough, and close enough to a decision, to warrant a sales conversation.
How much does a lead cost?
It depends on channel, sector, geography, contract value and how a lead is defined. In the WordStream 2026 benchmarks for US paid search, the overall median CPL is $66.69, with widely varying values across sectors. To compare real campaigns, it is worth also looking at cost per MQL, cost per SQL and CAC.
Which channel generates the best leads?
It depends on the type of demand. SEO and paid search capture needs already expressed; social and professional platforms can build demand; outbound works well on identifiable accounts; referrals leverage existing relationships. The mix should be built around the sales cycle and customer value.
Why does sales say the leads are worthless?
Marketing and sales are often applying different criteria. You need to check which leads are rejected, which become opportunities and which convert into customers, then update definitions and handover thresholds together.
How often should MQL and SQL definitions be reviewed?
A quarterly review is a good cadence for many organisations, especially if volume is sufficient to produce meaningful data. The most important criterion is to update definitions when the offer, market, pricing or profile of acquired customers changes.
Should lead generation be outsourced to an external provider?
An external partner can accelerate channels and specialist expertise. The company should nonetheless retain ownership of the definitions of ideal customer, qualification, data, CRM and the criteria by which a contact is considered an opportunity.
Fonti e riferimenti
- Salesforce, Che cos’è la qualificazione dei lead e come funziona?
- Salesforce, What Is a Sales Qualified Lead (SQL)?
- James B. Oldroyd, Kristina McElheran, David Elkington, The Short Life of Online Sales Leads
- Ian Gross, James Piacentino, Mathias Bombardi, The New Rules of B2B Lead Generation
- Susie Marino, WordStream, Google Ads Benchmarks 2026: Competitive Data & Insights for Every Industry