Bing Ads for SaaS: Why Your Most Cost-Efficient Channel Is Probably Underfunded

Most SaaS advertisers know Microsoft Ads exists. They've probably even set up a few campaigns, imported their Google structure, and let it run on a modest budget. Then they glance at the volume numbers, shrug, and go back to pouring money into Google.

This is a mistake — not because Bing is a hidden goldmine of infinite scale, but because the math is staring you in the face and you're choosing to ignore it.

The Problem: You're Overpaying for Trials on Google and Calling It Strategy

Here's a pattern we see repeatedly in SaaS accounts: Google Search is eating 85–95% of the paid search budget. Cost per trial is climbing. The team responds by tweaking bids, adjusting device modifiers, testing new bid strategies — all within Google. Meanwhile, Bing sits in the corner with a fraction of the budget, quietly delivering trials at half the cost.

We've seen this play out with real numbers. In one B2B SaaS account, Google was delivering trials at roughly $249 each. The same keyword strategy on Bing? $103 per trial. That's not a rounding error. That's a 59% reduction in cost per trial.

And yet, when the budget conversation comes up, the instinct is always the same: "Bing just doesn't have the volume." That's true — to a point. But it's also a convenient excuse to avoid doing the work of scaling a secondary channel. The real question isn't whether Bing can match Google's volume. It's whether you're extracting all the volume Bing has to offer before you dismiss it.

Why Bing's Audience Is Actually Better for B2B SaaS

The knock on Microsoft Ads has always been about audience size. Fewer searches, smaller market share, less reach. All factually correct. But the composition of that audience matters more than the size of it, especially for B2B SaaS products.

Desktop-Heavy Traffic Is a Feature, Not a Bug

Bing's user base skews heavily toward desktop. For consumer brands chasing mobile-first shoppers, that's a limitation. For SaaS companies selling to professionals who sign up, configure, and evaluate software on a laptop during work hours, it's an advantage.

We've seen this dynamic firsthand. On Google, SaaS advertisers are constantly fighting the mobile problem — high click volume from mobile devices that converts to trials at lower rates and upgrades to paid plans even less frequently. Teams end up spending significant time adjusting mobile bid modifiers, sometimes reducing mobile bids by 70–90%, trying to push budget toward desktop traffic. On Bing, this problem barely exists. The traffic is already coming from computers. You're not paying a tax on mobile clicks that never convert.

The Corporate Default Browser Effect

A significant chunk of Bing's search volume comes from corporate environments where Edge is the default browser and IT policies discourage or prevent switching. These aren't casual browsers. They're people at work, on company machines, during business hours. For B2B SaaS, this is the exact audience you want — decision-makers and users in a professional context, actively searching for solutions to business problems.

Trial Quality Holds Up

The counterargument we sometimes hear is that Bing trials don't convert to paid at the same rate. In our experience, trial-to-upgrade rates on Bing can run slightly lower than Google — we've seen gaps like 6% versus 12% on the Google side. But when your cost per trial is less than half, the unit economics still work decisively in Bing's favor. A 6% upgrade rate on a $103 trial beats a 12% upgrade rate on a $249 trial if you're optimizing for cost per acquisition, not just conversion rate.

The Real Challenge: Scaling Volume, Not Efficiency

Let's be honest about the actual constraint. Bing's efficiency is not the problem. The problem is getting enough volume out of it to make a material impact on your pipeline. This is where most advertisers give up too early.

Stop Treating Bing as a Google Import

The most common Bing Ads setup we audit is a direct import from Google with identical structure, identical bids, and a budget set to "whatever's left." This approach guarantees underperformance. Bing's auction dynamics are different. Competition levels vary by keyword. Match type behavior isn't identical. If you import and forget, you're leaving volume on the table.

Budget Allocation: Fund to the Opportunity

The single highest-leverage move for most SaaS advertisers on Bing is simply increasing budgets on campaigns that are already performing. This sounds obvious, but it's remarkable how often we find Bing campaigns that are budget-constrained — impression share lost to budget sitting at 30–40% — while Google campaigns are fighting over increasingly expensive clicks.

If your Bing campaigns are delivering trials at $103 and your Google campaigns are delivering them at $249, every dollar you move from Google to Bing buys you more trials. Full stop. You don't need a complex model to justify this. You need to actually look at the numbers and act on them.

Bid Strategy Adjustments

Bing's automated bidding has improved significantly, but it still requires more hands-on management than Google's. A few specific tactics that help scale volume:

• Raise bids on high-performing keywords incrementally. Bing's auction is less competitive, so bid increases often translate more directly to additional impression share than they do on Google.
• Expand match types carefully. Broad match on Bing can surface relevant queries that exact match misses, without the same level of garbage traffic you'd see on Google broad match.
• Monitor and adjust daily. Bing's smaller volume means performance can shift more quickly. Weekly optimization isn't enough if you're trying to scale.

Explore PMAX on Microsoft Ads

Microsoft has rolled out its own Performance Max equivalent, and it's worth testing — particularly for SaaS advertisers who've already maxed out their search volume on the platform. PMAX on Microsoft Ads gives you access to the Microsoft Audience Network, native placements, and other inventory beyond traditional search.

Is it a proven channel yet? No. The data is still early. But if your constraint on Bing is volume, not efficiency, expanding into additional inventory types is the logical next step. Run it as a controlled test with a dedicated budget, measure incrementality, and make a decision based on actual performance data.

A Practical Framework for Bing Budget Decisions

Here's how we think about Bing budget allocation for SaaS accounts:

1. Calculate your cost per trial (or cost per qualified signup) on both platforms. Use a consistent attribution window.
2. Identify Bing campaigns losing impression share to budget. This is your immediate scaling opportunity.
3. Model the impact of shifting 10–20% of Google budget to Bing. If Bing's cost per trial is 50% lower, even a modest reallocation can meaningfully improve blended efficiency.
4. Set a volume target, not just an efficiency target. The goal isn't to keep Bing's CPT at $103 forever — it's to find the point where marginal cost per trial on Bing equals your Google CPT. Until you hit that point, Bing is underfunded.
5. Test emerging formats. PMAX, audience campaigns, and LinkedIn profile targeting on Microsoft Ads can unlock incremental volume beyond search.

The Takeaway