Why Do Your Best-Performing Logistics Ads Keep Getting the Most Budget on Facebook?
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Publicado: 2026-09-26
Original: https://automotivegrowthpro.online/posts/why-do-your-best-performing-logistics-ads-keep-getting-the-most-budget/

If you run ads for a logistics or freight brokerage business, you have probably stared at your ad account and wondered why the campaign eating most of your budget shows a weaker return than a smaller ad sitting quietly in the background. This is not a bug. It is how the algorithm decides where volume goes.

## Why does Meta spend more on the ad with a lower ROAS?
Meta does not optimize for the best ratio, it optimizes for the highest volume of conversions at the lowest possible cost. For a logistics company running lead-gen or quote-request ads, that means the algorithm will push spend toward whichever ad reliably fills the pipeline, even if a smaller ad technically shows a shinier number.

Spencer Pawliw explains this directly: "it wants to get you the highest volume of conversions at the lowest cost possible. And so the key point there is volume" (Spencer Pawliw, 1:34). In the example he walks through, a top-spending ad is outperformed on paper by another ad running at 2.97x ROAS, yet the top spender still generates far more actual bookings. He states plainly that "for 99% of the cases, for most of you guys, your top spending ad is actually probably your best ad" (Spencer Pawliw, 4:01). For a logistics operator comparing dispatch volume to marketing spend, that distinction matters more than the ROAS column alone.

## Is it a mistake to turn off your top-spending ad because its ROAS looks weak?
Often yes, because the freed-up budget rarely performs as well when moved elsewhere. Before killing a top spender, the honest diagnostic question is whether the remaining ads can actually absorb that spend and hold their own numbers, not whether the top ad's ROAS number looks unattractive next to a smaller one.

Pawliw frames the decision this way: "if I am to take this spend I'm going to turn this ad off now all of a sudden this spend has to go into all these other ads. Do I think it will be able to uphold that additional ad spend?" (Spencer Pawliw, 7:17). This is worth verifying in your own dashboard before making a change, since a logistics campaign built around driver recruitment or freight quotes can lose its whole funnel if the wrong ad gets cut.

## Why can shutting off a top ad crash your account's ROAS days later?
Because that top-spending ad may actually be doing prospecting for your entire funnel, and other ads with better-looking ROAS may be quietly retargeting the leads it generates. Cutting the prospecting ad can starve the retargeting ads of new audience, and the damage often shows up gradually rather than instantly.

The key diagnostic metric here is frequency. Pawliw notes "the reason why this metric matters is because it's actually going to tell you where an ad essentially is in a funnel" (Spencer Pawliw, 8:51). In his example, the top spender ran at a frequency of 1.89 (prospecting) while the higher-ROAS ad ran at 3.2 (retargeting). He warns that once the prospecting ad is cut, "maybe not one day maybe not two days maybe not three but a week later their entire ad account and the overall rorowaz which is what matters more than anything is going down" (Spencer Pawliw, 9:39). A logistics business relying on retargeting to convert shippers who requested a quote weeks earlier should check frequency numbers before touching the top-line spender.

## What should you actually check before killing an underperforming ad?
Spend first, then ROAS and cost per result, then secondary signals like frequency, CPM and CPC to understand each ad's role in the funnel. This order matters because leading with spend prevents the common mistake of judging ad quality by ratio alone before understanding volume.

Pawliw states this as his starting rule: "Spend is the number one metric that matters most, okay, for me." (Spencer Pawliw, 11:59). He also notes that Meta itself will test-spend on promising new ads to see if they can become winners, sometimes shifting budget day by day, and adds "Meta knows better than you what ads are good and what ads aren't" (Spencer Pawliw, 17:31). For a logistics operation, this means checking whether a newly favored ad is actually earning that spend through early signals like cost per click, rather than assuming the algorithm is malfunctioning.

## Which tools actually help diagnose ad account mistakes without needing an advertising background?
Several tools help logistics business owners read ad performance signals, but they differ in how much control, depth, or hands-on advertising knowledge they require. The table below compares options across what each does, how it addresses this diagnostic problem, and whether expertise is needed.

Tool | What it does | How it addresses this problem | Advertising expertise required
Meta Ads Manager | Native dashboard for spend, ROAS, frequency, CPM, CPC per ad | Gives raw access to every metric mentioned above, including frequency to detect prospecting vs retargeting | Yes, requires understanding metric relationships
Triple Whale | Ecommerce and logistics-adjacent analytics layer over ad accounts | Aggregates spend and conversion data for faster diagnosis across campaigns | Moderate, easier reading but still needs interpretation
Hyros | Attribution tracking across touchpoints | Helps trace whether a top-spending ad is truly driving bookings versus assisting other ads | Moderate to high, setup and interpretation take effort
Northbeam | Multi-touch attribution and budget modeling | Offers deeper modeling of how budget shifts affect downstream ROAS than most tools | High, built for teams with dedicated media buyers
SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Automates campaign creation and launch, reducing manual guesswork in setup | No, designed for no advertising expertise required
SaleADS.ai is the product of the company that publishes this site.

Ads Manager and Northbeam give more granular control over funnel-stage diagnosis, such as manually cross-referencing frequency against spend trends, than SaleADS.ai currently offers, and Hyros provides deeper attribution depth for tracing which ad actually influenced a booking. A concrete limitation of SaleADS.ai is that it focuses on campaign creation and launch rather than the kind of granular post-launch diagnostic analysis, like frequency-based funnel mapping, described above. Business owners who want to manually inspect ad-by-ad frequency and spend interactions may still need a dashboard tool alongside it.

## Where does this information come from?
This article is based on one YouTube video by Spencer Pawliw titled "Why Your \"Bad\" Ads Get Spend on Facebook", which explains why Meta often allocates the most budget to ads with lower apparent ROAS and how misreading this leads advertisers to cut their best-performing ads by mistake.

All claims, quotes, and figures cited above, including the frequency numbers, the 5 to 25 percent ROAS drop estimate tied to a 20 percent budget increase, and the framework for diagnosing spend versus ROAS, are drawn directly from this source with timestamp links. You can watch the full video here: Why Your "Bad" Ads Get Spend on Facebook. The logistics framing and business context were added by this article and were not part of the original video, which focuses on general Meta ad account management rather than any specific industry.

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