IIDigital MarketingGuide

Lead Handoff from Marketing to Sales: MQL, SQL, Rules and Deadlines

Between marketing and sales, the inquiry changes owners. If you do not regulate that moment, it is where you lose most prospects.

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Photo: Joachim Schnürle / Unsplash

Key takeaways

  • MQL and SQL are two maturity levels of an inquiry. The first belongs to marketing, the second to sales. The handoff lies in between.
  • The baton rule: an inquiry only counts as handed over when it is complete, addressed to a person and accepted by the recipient.
  • Response times are staggered by rating and have to be sustainable in everyday work. A four-hour deadline that is kept beats a five-minute one that is broken.
  • Sales may return inquiries, but only with a reason. These reasons are the most important feedback to marketing.

Why do inquiries disappear between marketing and sales?

Marketing reports 80 new leads a month. Sales says it saw 20 of them and five were usable. Both numbers can be true. In between lies a step that nobody has written down in many companies: the handoff.

Research has a name for this phenomenon. Sabnis, Chatterjee, Grewal and Lilien (2013) speak of the sales lead “black hole.” They start from a figure taken from earlier surveys, according to which sales reps never contact around 70 percent of the leads generated by marketing. The authors point out themselves that both sides share in this: often more leads arrive than sales could possibly work. In their analysis of 461 sales reps at four firms, the share of time for marketing leads depended on prequalification, on managers tracking the follow-up and on lead volume.

Then there is time. Oldroyd, McElheran and Elkington (2011) report in Harvard Business Review on research into how U.S. companies handle online inquiries. Many were slow to respond.

42 hoursaverage response time to online inquiries in the research
24%of companies did not respond within 24 hours

Source: Oldroyd, McElheran, Elkington (2011)

The research is older and comes from the United States. The numbers cannot simply be transferred to your business. But they show how wide the gap between ambition and everyday practice can be. A handoff without a rule becomes a matter of luck. The basics are covered in the article on aligning marketing and sales. This one is about the rules in detail, and the guiding question is: how does forwarding an inquiry become a handoff in which nothing gets lost? To answer it, we first clarify the stages of lead, MQL, and SQL, then introduce the baton rule, and go through response times, returns and nurturing, responsibility, and metrics.

An inquiry is only handed over once someone has accepted it. Forwarding is not a handoff.

Lead, MQL, SQL: what do the stages mean?

The abbreviations come from the marketing departments of large companies and denote maturity levels of an inquiry. MQL stands for marketing qualified lead, SQL for sales qualified lead. Sudharsanam, Manivannan and Venkatachalam (2021) summarize the usual distinction like this: an MQL has shown interest and engaged with marketing content or initiatives but is not yet ready for a direct sales approach. An SQL meets specific criteria indicating that readiness. In their account, the transition depends mainly on lead scoring, on alignment between the two teams and on lead nurturing.

Four stages of an inquiry and who owns them
StageMeaningExampleOwner
LeadContact details and a reason existDownloaded a checklist, subscribed to the newsletterMarketing
MQLFits the target group and shows recognizable interestCompany fits, visited the pricing page and asked for a callbackMarketing
SQLChecked and accepted by salesFirst conversation held, need and timeline clarifiedSales
OpportunityConcrete project with a proposalProposal sentSales

Worked example

The handoff sits between MQL and SQL. Marketing proposes, sales accepts or returns. Which criteria are suitable for this is described in the article on lead qualification.

The baton rule: when does an inquiry count as handed over?

In a relay race, the exchange often decides. The fastest team loses if it drops the baton. The exchange is precisely regulated there: a fixed zone, a clear signal, and the runner only lets go once the next one has taken hold. I call the application of this to inquiries the baton rule.

  1. Complete

    The inquiry contains the minimum data set. If something is missing, it stays with marketing until it has been added.

  2. Addressed

    It goes to a named person with a named deputy. A shared inbox is not a recipient.

  3. Timed

    A deadline for the first response starts with the handoff. The deadline depends on the rating.

  4. Accepted

    The recipient confirms acceptance or returns the inquiry with a reason. Until then, marketing remains responsible.

The fourth point makes the difference. In most companies, marketing’s responsibility ends when an email is sent. Under the baton rule it only ends once sales has taken hold.

Minimum data set for the handoff
ItemWhy sales needs itWhere it comes from
Name, company, roleHow to address the person and gauge decision authorityForm
Phone and emailFirst contact by two routesForm
Reason in their own wordsOpening the conversation without asking againFree-text field
SourceLater analysis per channelHidden field or follow-up question
Previous touchpointsKnowing what the prospect has already read or askedMarketing
Rating A, B or COrder and deadlinePre-check
Forwarding or handing over

Forwarding

  • Email to the sales distribution list
  • No fixed recipient, no deadline
  • Sales asks for everything again
  • Nobody knows what became of the inquiry

Handing over

  • Record sent to a named person
  • Deadline runs from the handoff
  • Sales knows the reason and the history
  • Acceptance or return is recorded

Which response times are realistic?

Someone who sends an inquiry has time and the problem on their mind at that moment. Later they are in the next meeting or have already spoken to another provider. This does not create a duty to respond instantly. It creates a duty to set a deadline your team keeps on every normal working day.

Staggering by rating makes sense. A inquiries meet all criteria and get the shortest deadline. The following example is intended for a small team that also has customer appointments.

Example of staggered response deadlines
RatingFirst responseContact attemptsAfter that
AWithin 4 working hoursThree attempts in five business days, phone and emailStatus “not reached,” back to nurturing
BWithin 2 business daysTwo attempts in ten business daysDated reminder
CWithin 5 business daysOne written replyDecline or nurturing

Worked example

Deadline for the first response by rating, in working hours
  • A inquiry4 hours
  • B inquiry16 hours
  • C inquiry40 hours

Worked example based on eight working hours per business day. Choose deadlines your team keeps even in full weeks.

Technology takes away part of the pressure. Appointment booking right after the form or an automatic reminder before the deadline expires cost little. Which routine tasks lend themselves to this is shown in the article on how to automate sales.

Return and nurturing: what happens to inquiries that are not ripe yet?

Sales may return an inquiry that was handed over. This right is important; otherwise unsuitable inquiries pile up in sales and are quietly ignored. The return has one condition: it names a reason from a fixed list.

Reasons for return and what follows
ReasonMeaningConsequence
Does not fitTarget group criteria not metDecline; marketing checks channel and message
Too earlyFits, but no project in sightNurturing with a reminder
Not reachedAll contact attempts unsuccessfulNurturing; check form and deadlines
Data incompleteMinimum data set missingBack to marketing for completion

Nurturing means staying in touch with prospects until an occasion arises. Many vendors promise that automated lead nurturing reliably raises the close rate. Habel, Hartmann, Wiseman, Ahearne and Vaid (2025) tested this in the Journal of Marketing, with expert interviews and three data sets: 748 leads of a software provider, 13,525 leads of a protective wear supplier and 5,040 invitations to an industry conference, which in a randomized trial were either nurtured automatically or contacted by traditional email. The result is mixed. Only at the protective wear supplier did the probability of conversion rise on average, by 23 percentage points. In the other two studies there was no average effect on conversion.

What automated nurturing changed in the two company data sets was above all the kind of conversation. There were more meetings between salesperson and prospect, not more phone calls, and meetings were related to conversions. The authors explain this with information: both sides know more about each other before the conversation. Accordingly, the automation worked less well with long sales cycles, large order volumes and existing customers, where that information flows anyway, and better with new prospects. The authors advise against taking vendor promises at face value and recommend verifying in your own context whether automated nurturing works. For a small business this means: start with a reminder and a personal call after three months. You can automate later, once you know what you are automating.

Who makes sure the rules apply?

Rules on paper change nothing as long as nobody looks. The question is how you look. Altenscheidt, Ernst and Schmitz (2024) interviewed eleven sales managers and ten sales reps on this and then surveyed 410 sales reps. They distinguish two kinds of leadership: goal control, where results are measured against targets, and process control, where the manager influences how the work is done and gives feedback. Taken on its own, neither kind showed a direct effect on the effort put into handling leads. It came down to the reps’ attitude: among those who feel personally responsible for handling leads, process control had a stronger effect and goal control a weaker one. Under certain circumstances the two had a positive effect in combination. The survey is a snapshot and relies on the reps’ self-reports.

This fits the finding by Sabnis and colleagues that experienced reps respond less to tracking and more to the quality of prequalification. Together they yield practical advice: prescribe clear procedures and make sure the inquiries are good. Pressure through numbers alone achieves little with experienced people.

That tool and collaboration belong together is shown by a survey of 649 business-to-business companies in nine Latin American countries (Bustamante and colleagues, 2026). Only the interplay of customer relationship management capabilities and marketing and sales collaboration went along with better relationship maintenance and better results there. So a CRM alone does not solve the handoff. How to introduce such a system so that the team uses it is covered in the article on introducing a CRM.

Technically, the handoff can be mapped as a task with a recipient, a deadline and a status. That works in any CRM and in any task tool. One example of such a tool is quik OS, a work platform for tasks, knowledge and strategy from a business partner of Owners Council. What matters is the rule and not the tool.

How do you know whether the handoff works?

Four numbers are enough. They can be read from the same list that holds the inquiries.

Four handoff metrics
MetricCalculationWarning signal
Acceptance rateAccepted divided by handed-over inquiriesFalling: criteria or channels are off
Deadline complianceShare of inquiries with a response within the deadlineFalling: deadline too ambitious or responsibility unclear
Reach rateReached divided by accepted inquiriesFalling: response too late or data poor
Return reasonsDistribution of reasons in the monthOne reason clearly dominates
The handoff in one quarter: from inquiry to order
  1. 200Leads
  2. 80MQL40% of previous stage
  3. 60Handed over75% of previous stage
  4. 45Accepted (SQL)75% of previous stage
  5. 36First conversations80% of previous stage
  6. 9Orders25% of previous stage

Worked example with freely chosen numbers. The acceptance rate here is 75 percent; 15 inquiries go back with a reason.

In the example, 15 of 60 handed-over inquiries go back. That is not a failure. It is the information that lets marketing deliver better next month. Carry the source through to the order and you will also see which channel brings the accepted inquiries. The analysis is described in the article on how to measure marketing success.

How to get started

The rules fit on one page. Sit down with the people involved for an hour and fill it in. If you handle marketing and sales alone, the page still applies: it forces you to set the deadline for yourself as well.

  • Define the minimum data set and adapt the inquiry form to it.
  • Name one recipient and one deputy for handed-over inquiries.
  • Write down deadlines for A, B and C and set the number of contact attempts.
  • Create the four return reasons as a fixed selection in the list or CRM.
  • Add a field “accepted on” so that acceptance becomes visible.
  • Include the four metrics in the fixed weekly or monthly meeting.

You do not need a separate format for the fixed meeting. Five minutes in the existing round are enough if the numbers are prepared. An agenda for it can be found in the article on weekly planning in the team. What happens after acceptance, from the first conversation to the close, is covered in the article on how to optimize your sales process.

The answer to the opening question is a simple but binding rule: an inquiry only counts as handed over once it is complete, addressed to one person, and accepted by that person. Response times depend on the rating and must be sustainable in everyday work. If sales returns an inquiry, it gives a reason, and these reasons are the most valuable feedback for marketing.

Frequently asked questions

What is the difference between MQL and SQL?

An MQL (marketing qualified lead) fits the target group and has shown interest but has not yet been checked by sales. An SQL (sales qualified lead) has been checked and accepted by sales. The handoff lies between the two stages.

When should a lead be handed over to sales?

When it meets the agreed criteria and the minimum data set is complete. That includes contact details, reason, source and rating. If something is missing, the inquiry stays with marketing until it has been added.

How fast does sales have to respond to a lead?

As fast as the team can manage on every normal working day. Staggering by rating makes sense, for example a few working hours for the best inquiries and several business days for the rest. What matters is that the deadline is kept and measured.

What is a service level agreement between marketing and sales?

It is an agreement in which both sides commit to service levels. Marketing commits to the quality and completeness of the inquiries, sales to the response deadline and feedback. For small businesses, one page is enough.

What happens to leads that sales rejects?

They go back with a reason from a fixed list. Depending on the reason, a decline, completion of the data or nurturing with a reminder follows. The distribution of reasons shows marketing what it needs to change.

Does a small business need MQL and SQL at all?

Not necessarily the terms, but certainly the rule behind them. Even if one person does both, separating “new” from “accepted” with a fixed deadline in between helps. As soon as a second person or an agency is involved, the more precise stages are worthwhile.

Sources

  1. Sabnis, G.; Chatterjee, S. C.; Grewal, R.; Lilien, G. L. (2013): The Sales Lead Black Hole: On Sales Reps' Follow-Up of Marketing Leads. Journal of Marketing, 77(1), 52-67.
  2. Oldroyd, J. B.; McElheran, K.; Elkington, D. (2011): The Short Life of Online Sales Leads. Harvard Business Review.
  3. Sudharsanam, S. R.; Manivannan, P.; Venkatachalam, D. (2021): Strategic Analysis of High Conversion Ratios from Marketing Qualified Leads to Sales Qualified Leads in B2B Campaigns. Journal of Science & Technology.
  4. Habel, J.; Hartmann, N. N.; Wiseman, P.; Ahearne, M. J.; Vaid, S. (2025): Sales Pipeline Technology: Automated Lead Nurturing. Journal of Marketing, 89(5), 66-87.
  5. Altenscheidt, J.; Ernst, S.-C.; Schmitz, C. (2024): Understanding sales representatives' unreliable lead management efforts: contingent impacts of sales managers' goal and process control behaviors. Journal of Personal Selling & Sales Management, 44(4), 441-459.
  6. Bustamante, J. C.; Sosa-Varela, J. C.; Bullemore-Campbell, J. et al. (2026): Leveraging CRM Capabilities for Enhanced Relationship Maintenance and Performance: Empirical Insights from Latin America's Business-to-Business Sector. Journal of Relationship Marketing.

All sources in the knowledge base

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