KEY TAKEAWAYS
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Cutting low-quality lead volume increases efficiency:
Reducing total leads by 40-50% removes non-converting noise, spreads budget further, and lowers cost per opportunity. -
Track full-funnel metrics early:
Reporting on cost per lead, cost per MQL, and cost per opportunity before making changes helps demonstrate value and link marketing performance to revenue. -
Separate campaign optimization goals by funnel stage:
Split high-intent actions (like demo requests) from lower-intent actions (like white paper downloads) so ad algorithms target the right conversions.
One of the harder things to tell a marketing team is that their lead volume is about to halve. Ashleigh Rowles, senior paid media manager at Somebody Digital, does it fairly regularly.
“We come in and we say, well, we can make your spend a lot more efficient,” she says. “But that initially means your actual lead volume is going to be cut by maybe 40 to 50%.”
The panic that follows is predictable, because most teams assume MQLs and SQLs fall by the same proportion. Rowles’s response is to put the arithmetic on the table. “What we try and do is just show the math. If we can see that so many of these leads are not turning into any kind of MQL or SQL, then cutting those, reducing your cost per opportunity, will be able to spread the spend a lot further.”
Once the efficiency lands, the volume conversation restarts on better terms. Grow the leads again, this time with a profile that has a real chance of closing.
Cost per opportunity: The metric that makes the case for marketing spend ROI
The reason this argument works in some companies and stalls in others usually comes down to what’s already in the weekly report.
If a team only ever reports lead volume, a 50% cut looks like a 50% failure, and there’s nothing in the numbers to argue otherwise. Rowles’s advice is to start reporting cost per lead, cost per opportunity and cost per MQL long before you need them. “That makes a really well-told story throughout the quarter,” she says, “so that when we come to the end of the quarter, we can show growth, or if it is a decrease, we’re able to say these are the changes that we made, and this is how it impacted revenue.”
Those metrics also move in the right direction the moment you cut waste. Volume drops and cost per opportunity drops with it, which gives you a clean before-and-after to point at.
Lead quality vs volume: The trade-off for paid media efficiency
Rowles is blunt about the arithmetic of low-quality volume. “I would be quite happy to sacrifice lead volume,” she says. “What difference does it make if you’re getting a whole bunch of leads from really cheap traffic that isn’t going to convert, and your sales team is just going to be wasting their time in any case?”
Her plainest version of the pitch, for anyone who has to sell this internally: fewer leads, but higher quality leads, over time.
The first thing to do, before any of that conversation happens, is open the account and look at what the campaigns are currently optimizing towards. Where several goals of wildly different value sit inside one campaign, the algorithm is being asked to treat a white paper download and a demo request as the same outcome. Splitting those into separate campaigns by funnel stage is where most of the early efficiency comes from.
Reducing low-quality or non-converting lead volume removes non-converting noise, allowing ad spend to be distributed toward higher-intent prospects and lowering the overall cost per opportunity.
Teams should report on Cost Per Lead (CPL), Cost Per Marketing Qualified Lead (MQL), and Cost Per Opportunity long before making optimization changes to demonstrate full-funnel value and directly link marketing spend to revenue growth.
Audit campaign optimization goals to ensure cheap, low-intent traffic isn’t diluting your pipeline. Shift focus to generating fewer, higher-quality leads that have a higher probability of closing.
Campaign optimization goals should be split by funnel stage. High-intent actions (such as demo requests) and lower-intent actions (such as white paper downloads) should be separated into distinct campaigns so ad algorithms can optimize effectively for the right conversion types.
