The audit found the usual problem
The account came in running five campaigns across three channels: Google Search, Meta, and LinkedIn. Monthly spend was $18,000. Lead volume was 42 qualified leads per month at a $428 cost per lead. The operator had been told by a previous agency that the account needed more campaigns to "cover the funnel" and more channels to "diversify risk."
The audit found that two of the five campaigns were producing zero qualified leads. A third was producing leads at $900 each, more than double the average. LinkedIn was consuming $3,000 per month and producing four leads, all of which the sales team graded as unqualified. The Meta campaign had been running the same three creatives for four months with no testing.
The pattern is generic. We see some version of it in roughly half the accounts we audit: spend spread too thin, campaigns running without scrutiny, and at least one channel producing nothing.
What concentration looked like
The restructuring was simple. We shut down the two campaigns producing zero leads. We paused LinkedIn entirely. We consolidated the Google Search campaigns into a single campaign with tighter keyword targeting focused on the 15 queries that had produced conversions historically. We rebuilt the Meta campaign with new creative and a dedicated landing page matched to the primary offer.
Total monthly spend dropped from $18,000 to $10,800, a 40% reduction. The surviving budget concentrated on two campaigns: one on Google Search, one on Meta.
What happened in 90 days
Qualified leads grew from 42 to 51 per month, a 22% increase. Cost per lead dropped from $428 to $212, a 50% reduction. The Google Search campaign produced 31 leads at $180 CPL. The Meta campaign produced 20 leads at $260 CPL.
The improvement did not come from better bidding. It came from two changes: removing spend from channels and campaigns that were not converting, and rebuilding the Meta landing page.
The old Meta landing page was the company's homepage. It had seven navigation links, a hero image with no specific offer, and a generic "Contact Us" form at the bottom. The new page had no navigation, a headline matching the ad's offer, three bullet points of social proof, and a four-field form above the fold. The Meta campaign's conversion rate went from 1.4% to 4.1% on the same traffic volume.
Why the previous setup failed
The previous agency had built the account around a theory of coverage: more campaigns catch more intent signals, more channels reach more buyers, and the total volume of all of it compounds. The theory sounds reasonable. In practice, it produced five campaigns competing against each other for reporting attention, three channels with budgets too thin to optimize, and a landing page that no one had touched since the engagement started.
The coverage theory fails at moderate budgets because each channel needs a minimum investment to produce enough data for the algorithm to optimize. Below that minimum, the platform is guessing. Spreading $18,000 across five campaigns on three channels meant none of them had enough data to exit the learning phase cleanly.
The pattern this illustrates
The firm's first position is that the right answer is usually "spend less, on fewer things." This case is one instance of a pattern we see repeatedly:
The operator believes more campaigns and more channels equal more results. The math says otherwise. The budget is finite. Each additional campaign or channel divides that budget further. Below a threshold that varies by vertical and platform but typically sits around $5,000 to $8,000 per channel per month, the platform cannot optimize effectively.
Concentration produces better data, faster learning, and more reliable optimization. Two campaigns that work beat five campaigns that fill a report.
What about the lost channels?
The concern operators raise when we recommend cutting channels is: "What about the demand we are missing?" In this case, LinkedIn was producing four unqualified leads at $750 each. The demand was not real. The two Google Search campaigns producing zero leads were targeting queries with high impressions and no conversions, meaning the traffic existed but the intent did not match.
Cutting those channels did not lose demand. It stopped spending money on traffic that was not converting. The demand that mattered, buyers actively searching for the service and responding to a specific offer on Meta, was better served by concentrating budget and improving the landing page.
The $212 CPL is not the end state
The 90-day results established a baseline. The work after that is iteration: testing new creative on Meta every two to three weeks, testing new landing page variants monthly, expanding the Google Search keyword list based on converting search terms, and gradually increasing spend on whichever campaign has headroom.
If the account reaches saturation on Google Search at $8,000 per month and on Meta at $6,000 per month, that is the point where adding a third channel is worth testing. Not before. The data will tell you when concentration has been exhausted. Until it does, the answer is to go deeper on what works, not wider on what might.