A marketplace company running Google Ads across every product vertical discovered that the vast majority of their campaigns weren’t generating a single qualified lead. Here’s how Attribution exposed the waste — and revealed where the real growth was hiding.
The Spray-and-Pray Default
When you offer a dozen different financial products — business loans, hotel financing, equipment leasing, factoring, commercial mortgages, mezzanine lending, and more — the obvious Google Ads strategy is to run campaigns for all of them. More campaigns, more keywords, more coverage. Cast the widest net possible and let the data sort it out.
That was Bridge’s approach. And on the surface, it made sense. They were a full-service lending company. Every product vertical had potential customers searching for it. Why leave any demand uncaptured?
The answer, it turned out, was that most of that “demand” wasn’t demand at all. It was clicks that never became leads. Impressions that never became conversations. Budget that was being spent efficiently — according to Google — but wasn’t producing any actual business.
Bridge was spending $41,701 per month across 30+ campaigns, generating 57,288 impressions, 2,686 site visits, and roughly 42 conversions. That’s an overall conversion rate of 1.56% and an average cost per conversion of nearly $1,000. For marketplace, those aren’t alarming numbers at the top line. But the top line was hiding a severe concentration problem.
The 80/20 Was More Like 90/10
When Bridge implemented Attribution and connected their Google Ads data to actual lead outcomes, the campaign-level picture was stark.
Three to four campaigns were responsible for the vast majority of conversions. Hotel desktop broad generated around 6 conversions, with the “hotel financing” keyword alone converting at 6.0% — nearly four times the portfolio average. The corestates business-loan-exact campaign generated 5 conversions. The corestates business-loan-phrase campaign produced 4. Together, these campaigns accounted for most of Bridge’s meaningful pipeline.
Everything else? Fifteen-plus campaigns with zero conversions. Equipment financing: $5,352 spent, zero leads. Factoring: $2,036 spent, zero leads. Commercial mortgage, commercial refinance, asset-based lending, mezzanine, venture debt, working capital, franchise, medical lending, purchase orders, line of credit — all active, all spending, all producing nothing measurable.
This isn’t unusual. In multi-vertical B2B advertising, the natural instinct to “cover everything” almost always results in a long tail of campaigns that consume budget without contributing pipeline. The difference is whether you can see it happening.
“We were running campaigns across every product vertical we offer, but couldn’t tell which ones were actually generating real business.”
— Cletus McKeown SVP, Marketing & Growth at Bridge
The Keyword-Level Surprise
Attribution didn’t just reveal which campaigns were working. It surfaced keyword-level conversion data that changed how Bridge thought about targeting entirely.
The biggest find was hotel financing. In a portfolio of lending products, hotel and hospitality lending wasn’t the one getting the most attention or budget. But the data was unambiguous: “hotel financing” as a keyword was converting at 6.0% from 68 visits — producing leads at a fraction of the cost of Bridge’s higher-volume business loan campaigns.
Then there were the niche keywords nobody was watching. “Minority business loans” was converting at 18.2%. “Business financing for women” at 16.7%. Low volume, high intent, remarkably efficient. These weren’t keywords Bridge had built dedicated campaigns around. They were buried in broader ad groups, invisible at the campaign reporting level, punching well above their weight.
The pattern was clear: in marketplace search, specificity wins. The more targeted the search query, the higher the conversion rate. Borrowers who searched “hotel financing” or “minority business loans” weren’t comparison shopping — they were looking for exactly what Bridge offered.
Cutting, Concentrating, Compounding
With Attribution data in hand, Bridge did what most marketers know they should do but rarely have the confidence to execute: they cut aggressively.
Fifteen-plus zero-conversion campaigns were paused. Budget was consolidated around the three to four campaigns generating real pipeline. Match types were tightened — exact and phrase outperformed broad, and the data proved it. Regional “corestates” targeting was validated as the right geographic strategy for business loan products. And the niche keyword discoveries became the basis for focused, dedicated campaigns.
The shift was less about optimization and more about honesty. Bridge wasn’t tweaking bids or testing ad copy variations. They were confronting the reality that more than half their campaign portfolio was producing zero business — and acting on it.
“Attribution didn’t just help us optimize our ads — it showed us which parts of our business were actually growing from marketing, and which ones we were subsidizing.”
— Cletus McKeown SVP, Marketing & Growth at Bridge
Why This Matters Beyond Bridge
Every multi-product B2B company running paid search has a version of this problem. The campaigns are live. The budget is being spent. Google says things are going fine. But the connection between ad spend and actual business — the only connection that matters — is invisible.
Bridge discovered that their $41K monthly spend had a severe concentration problem: a few campaigns were doing all the work, and many more were doing none. The fix wasn’t more budget. It wasn’t better creative. It wasn’t a new bidding strategy. It was seeing, clearly and without platform bias, which campaigns were generating real business outcomes — and having the courage to turn everything else off.
If you’re running double-digit campaigns across multiple product lines or service categories, the question worth asking isn’t “how do we optimize all of them?” It’s “how many of them are actually producing anything?” The answer might surprise you. It almost always does.
