The stages from subscriber to customer
Most B2B SaaS teams use a six-stage model:
- Subscriber. The contact opted in to hear from you. Intent is low. They read the newsletter or downloaded one asset. - Lead. The contact gave more information or took a second action. They are known but not yet qualified. - Marketing Qualified Lead (MQL). The contact fits the ideal customer profile and has engaged enough for marketing to pass them to sales. - Sales Qualified Lead (SQL). Sales reviewed the MQL and accepted the contact for active work. - Opportunity. Sales created a deal. The contact is now in the pipeline with a value and a close date. - Customer. The deal closed won.
The stages are a shared language. They let marketing and sales agree on what qualified means and measure conversion between each step.
Where handoffs break down
The MQL to SQL handoff fails most often. Marketing scores a lead as ready and sales disagrees, so the lead falls into a gap no one owns. Two causes recur. First, marketing and sales use different definitions of a qualified lead, so marketing passes contacts sales will never work. Second, no service level agreement governs response time, so MQLs sit for days and go cold before a rep calls.
The opportunity to customer handoff leaks the most value. ORM's data shows that of the pipeline carrying close dates inside a quarter on day one, only about 20% closes in that quarter. The other 80% of that value goes unrealized in the period. Deals stall, and the earliest sign is the absence of any signal, no stage change and no reply from the buyer. A rep pushing a close date into the next quarter is the clearest slippage signal, and a deal that slips is less likely to close even while it sits in commit.
How to keep lifecycle stages clean
Write one definition of each stage that marketing and sales both sign. Attach an SLA to every handoff, starting with how fast a new MQL gets its first touch. Measure conversion rate and time-in-stage between every step. The final win rate hides where contacts actually stall, and the stage where they pile up or age out is the stage costing you revenue.
Frequently Asked Questions
What are the lead lifecycle stages in order?
The common B2B SaaS model runs in this order: subscriber, lead, marketing qualified lead (MQL), sales qualified lead (SQL), opportunity, and customer. Marketing owns the stages through MQL and sales owns everything from SQL onward, so the MQL to SQL point is the critical handoff.
Where do lead lifecycle handoffs break down most?
The MQL to SQL handoff fails most often, because marketing and sales use different definitions of a qualified lead and because no SLA governs how fast a rep follows up. The opportunity to customer stage leaks the most value. ORM's data shows only about 20% of the pipeline dated to close in a quarter actually closes in that quarter.
What is the difference between an MQL and an SQL?
An MQL is a contact marketing judges ready for sales based on fit and engagement. An SQL is that same contact after a sales rep reviews and accepts it for active work. The MQL is a marketing decision and the SQL is a sales decision, and the gap between them is where most leads are lost.
How do you fix a broken lead lifecycle?
Start by writing one definition of each stage that marketing and sales both approve. Attach an SLA to every handoff, beginning with first-touch speed on new MQLs. From there, track conversion rate and time-in-stage between steps to find where contacts stall or age out.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like lead lifecycle stages into prescriptive action for your team.
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