Every B2B organisation has experienced some version of this conversation. Marketing walks in with lead generation numbers. Sales questions the quality of those leads. Marketing responds by pointing to slow follow-up from the sales team. Before long, both sides are quoting different reports to support their position. The discussion ends without a clear conclusion, and everyone leaves the room to repeat the same process until the next pipeline review.
The foundation of sales and marketing alignment is a process that both teams trust. When everyone works from the same lead qualification criteria and handoff rules, disagreements become far less common.
Marketing is expected to generate leads. Sales is expected to turn those leads into customers. If both teams use different standards to assess lead quality, disagreements during the handoff are almost inevitable.
The cause is almost never bad faith. Marketing generates leads because that is the metric on their scorecard. Sales disqualifies leads because protecting close rate is the metric on theirs. Put two teams in that structure without a shared definition and the conflict is guaranteed. The issue is not how well the teams get along. It is whether they are working within a process that gives both teams the same expectations and objectives.
Three things that keep the handoff ambiguous enough to argue about:
Take ambiguity off those three points and the blame game runs out of fuel.
An MQL is a lead marketing believes is ready for sales. An SQL is a lead sales agrees is worth pursuing. When those definitions do not match, the handoff quickly starts to break down. MQL criteria work best when both teams help define them. Without sales input, marketing may hand over leads that are not yet sales-ready. Sales ignores them. Marketing reports high volume. Sales reports poor quality. Both readings are accurate. Neither is useful.
Here is what the criteria looked like before and after in the company this process was built for:
Criteria | Before | After |
Lead source | Any form fill | Form fill on a high-intent page only |
Company size | Not defined | 20 to 200 employees |
Job title | Not defined | Director level or above |
Engagement signal | One page visit | Two or more visits to pricing or solutions pages |
Intent signal | None required | Demo request, trial signup, or content download |
Disqualifiers | None documented | Competitor, student, or outside target geography |
The before column is not an exaggeration. It reflects what most early-stage B2B companies are actually running. The after column came out of one working session. No new software. No consultant. Just both teams in a room agreeing on the same standard and writing it down.
The handoff process became much simpler once both teams agreed on a consistent way of working. They introduced a shared lead scoring model, set a 24 hour response target for MQLs, held a short weekly review between the sales and marketing leads, and used monthly feedback from sales to fine tune lead quality based on actual results.
The sequence ran like this:
Step 1- Marketing scores the inbound lead against the shared criteria. If it clears the threshold it becomes an MQL and triggers a CRM notification to the assigned rep.
Step 2- The sales rep reviews within 24 hours. If it meets SQL criteria they move it forward. If not, they select a disqualification reason from a fixed list in the CRM. Free-text is not an option. The reason gets logged and routes the lead back to marketing for nurture.
Step 3- The weekly sync reviews every MQL from the previous seven days. How many became SQLs. Which disqualification reasons appeared most. Whether specific lead sources or content types are predicting conversion or not.
Step 4- Once a month, sales submits a short structured review of leads that closed or died in the prior thirty days. What the prospect’s actual situation turned out to be versus what the MQL data suggested. That information feeds back into the scoring model.
The entire process lives in the CRM. Nothing sits in a spreadsheet. Nothing depends on someone remembering to update a shared document.
The blame stopped because blame needs ambiguity and the process removed it. When a lead converts, the data shows which channel and content type produced it. When a lead dies, the data shows where and why. Neither team can credibly point at the other when the shared dashboard shows the full picture to both of them at the same time.
The meetings changed character entirely. Forty minutes previously spent on whose fault the pipeline gap was became forty minutes spent on what to change about the process. That is a different conversation. It produces decisions rather than arguments.
A few things that shifted in day-to-day working:
That last one was the change leadership noticed first. Two teams presenting different versions of the same revenue number means someone is working from wrong data. One source resolved that and made board meetings shorter.
Look at the MQL to SQL conversion rate. Below 30 percent means the qualification criteria are too loose. Reasonable conversion but slow pipeline velocity points to a follow-up SLA problem. Healthy pipeline but poor close rates suggests the issue is downstream of the handoff in the sales process itself.
A quick diagnostic:
Symptom | Most Likely Cause |
High MQL volume, low SQL conversion | MQL definition is too loose |
SQLs created but deals stall early | Qualification criteria missing intent signals |
Long gap between MQL and first contact | No follow-up SLA or not enforced |
Sales ignores marketing leads entirely | No shared definition, no trust in the criteria |
Same argument in every pipeline review | No shared data, no feedback loop |
Each symptom has a specific fix. None of them require a new CRM or a six-month process redesign. They need a working session, a written agreement, and someone with authority to hold both teams to it.
The teams that stop arguing over pipeline are not more collegial than the ones that keep arguing. They have a written lead definition, a handoff SLA, a feedback loop, and one shared revenue view. Build those four things and the blame game ends not because everyone decided to collaborate but because there is nothing left to disagree about.
Sales and marketing alignment at its most practical is a process, not a culture initiative. The process is buildable. It does not require a perfect relationship between two teams. It requires a written agreement and the discipline to run it. If your pipeline reviews keep producing the same argument, BizEmporia builds the operational infrastructure that replaces internal blame with shared accountability. Book a consultation through the website and get a straight read on where your current handoff is losing revenue.
A: Writing down a shared definition of a qualified lead and getting both teams to sign off on it. Everything else, scoring models, SLAs, feedback loops, depends on that definition existing in a form that both teams agreed to. Without it the handoff will keep producing the same arguments regardless of what else changes.
A: Industry benchmarks vary by sector and deal size but 25 to 40 percent is the range most B2B companies should be targeting. Below 25 percent suggests the MQL criteria are too loose. Above 60 percent may suggest the criteria are so strict that marketing is pre-qualifying work that belongs to sales, which slows pipeline velocity without improving quality.
A: Weekly for lead quality review, monthly for process and criteria review, quarterly for the scoring model itself. The weekly cadence catches problems before they compound. The monthly review prevents the criteria from drifting out of alignment with what is actually converting. The quarterly scoring model review is where both teams look at closed-won data and ask whether the things being scored actually predicted success.
A: No. A prospect who requested a demo has demonstrated more intent than one who downloaded a whitepaper. A prospect who attended a webinar and then visited the pricing page twice is different from one who found a blog post through organic search. Channel and behaviour context should inform the score. Treating all inbound leads as equal because they came through the same form is one of the most common reasons MQL to SQL conversion rates are low.
A: In companies with a RevOps function, RevOps owns it. In companies without one, the most senior person who touches both sales and marketing pipeline, often a COO, VP of Growth, or the founder, needs to own it until the company is large enough to dedicate a role to it. The process will not maintain itself. It needs an owner with the authority to hold both teams accountable to the agreed standard.