Sales ignoring your leads is not a sales problem. It's a signal that marketing is measuring the wrong thing. If your MQL-to-SQL conversion is under 15%, and your account executives have stopped logging calls into the CRM, the problem started upstream — in how you defined who you're going after and what counts as a qualified lead in the first place.
The MQL trap
The MQL trap works like this. Marketing gets rewarded for volume — leads in, target hit, bonus paid. Sales gets blamed for poor close rates. Nobody owns the gap between them, and nobody has an incentive to fix it. The longer this goes on, the more disconnected the two teams become. Eventually sales stops logging calls, marketing stops trusting their feedback, and the whole funnel operates on fiction.
This isn't a people problem. It's an incentive and definition problem. When a "qualified lead" is defined as "someone who filled in a form on the website," you're going to get a lot of people who filled in a form on the website. Whether any of them can buy is a separate question entirely.
What bad ICP looks like in the ad account
When we inherit a B2B account with lead quality issues, the ad account usually tells the same story. You'll see 5–8 active audience segments targeting different personas, each with generic messaging that tries to speak to all of them simultaneously. The creative says things like "scale your business" and "grow faster." It attracts everyone. It converts nobody with budget authority.
The targeting is typically broad by job title — "marketing managers," "operations leads," "business owners" — without any firmographic filters. So you're reaching the marketing manager at a 12-person startup and the marketing director at a 400-person scale-up in the same campaign. These people have entirely different problems, different buying processes, and different budgets. One of them can buy. The other is burning your CPL.
The ICP rebuild process
We run a structured session with the sales team before touching the ad account. The goal is to find the last 10 deals that closed fast and at healthy margin, and work backwards from there. The questions that matter:
- What was the company size and industry?
- Who initiated the conversation — was it inbound or outbound?
- What was the specific trigger that made them reach out now?
- Who was in the room for the final decision?
- What objection came up in every lost deal from a similar profile?
Doing this for 10 closed deals and 5 lost deals gives you a pattern. In most cases, the accounts that closed fast shared 3–4 firmographic characteristics that weren't reflected anywhere in the ad targeting. That's your ICP. Not a persona deck. Not a job title. Specific, observable attributes that predict buying intent.
Splitting demand gen from intent capture
Most B2B teams conflate two fundamentally different campaign types. Demand generation — making people aware they have the problem your product solves — and intent capture — reaching people who are already looking for a solution. These require different budgets, different creative, different success metrics, and they should never be in the same campaign.
Demand gen is a longer game. Content-led, LinkedIn-heavy, measured on brand lift and pipeline influence over 60–90 days. You're not expecting direct conversions. You're building the category consideration that makes your intent capture more efficient downstream.
Intent capture is what most B2B teams think all their campaigns are. High-intent search, competitor comparison, solution-aware messaging. Cost per qualified conversation is the metric. Not cost per lead, not cost per MQL — cost per conversation with a person who actually fits the ICP and is actively evaluating solutions.
Lead scoring without a big ops team
The standard objection to fixing lead quality is "we don't have the HubSpot setup for lead scoring." You probably don't need the full enterprise build. We use four fields to catch 80% of the signal:
- Company size — from enrichment or form field. Filter out the brackets that historically don't close.
- Role seniority — director and above versus manager and below. In most B2B deals, the manager can influence but can't approve budget.
- Page visits — did they visit pricing? Case studies? More than two pages? Passive readers and active evaluators behave differently.
- Content type — did they convert on a thought leadership piece (demand gen) or a product demo request (intent capture)? These are different buying stages.
A lead who hits all four signals should go to sales within the hour. A lead who hits one should go to a nurture sequence. This alone eliminates most of the noise that makes sales teams stop trusting the funnel.
What 3 months looks like
In the first 4–6 weeks, SQL volume drops. This is expected and is actually a sign that the filter is working. Marketing will feel the pressure. Hold the line.
By month 2, win rate starts moving. The deals that do progress tend to close faster because there's less early-stage qualification happening on sales calls. Salespeople are spending their time on conversations that should happen, not conversations that should have been filtered at the form.
By month 3, sales starts picking up the phone again. That's the real signal. When the team that's paid to close deals starts trusting marketing's handoffs, the attribution argument between departments disappears, and everyone is focused on the same number: revenue.
If this sounds like the dynamic in your company, we're happy to look at your funnel. We'll review your campaigns, your lead flow, and your ICP definition before the call — no slides, no pitch, just observations about what's actually going on.