How Microsoft Advertising Can Expand Your Paid Search Strategy

Most paid search programs grow up on Google Ads. Budgets get proven there, reporting gets built around it, and the team’s instincts get tuned to its quirks. Eventually, though, growth on a single platform plateaus, and the natural next step is Microsoft Advertising, the platform formerly known as Bing Ads. It looks familiar, it navigates familiarly, and that familiarity is both its biggest advantage and its biggest trap.

As PPC Hero points out in its own primer on the platform, Microsoft Ads is similar enough to Google Ads that the fundamentals carry over, but it has enough of its own characteristics that advertisers who treat it as a clone tend to get frustrated fast. The advertisers who win on Microsoft Advertising treat it as a related platform with its own rules, not a cheaper copy of Google. This guide covers where to start, what to adjust, and which expectations to reset before you spend your first dollar.

Why Microsoft Advertising Deserves A Place In Your Mix

Before you build anything, be clear about what role this platform plays in your strategy.

• It works best as a secondary search platform that extends reach beyond Google rather than replacing it.
• The interface and campaign logic are close enough to Google Ads that your team won’t need to relearn the basics.
• It reaches searchers who simply aren’t on Google at the moment they search, which means incremental demand, not just duplicated clicks.
• Its smaller scale means less noise, but also less data to work with.
• It offers some formats and features you won’t find on Google, which opens up genuinely new testing ground.
• It gives you a second dataset for validating what’s working in search overall, rather than relying on one platform’s view of the truth.

Think of Microsoft Advertising as diversification for your search program: a smaller market, but one with its own personality and its own opportunities.

Start With Search, Not With Everything

Search campaigns are the foundation of both platforms, and they’re the right place to begin.

• Launch with search before touching automated or audience-driven campaign types.
• Use your existing Google Ads search campaigns as a reference point, not a template to copy verbatim.
• Prioritize the keywords and themes that already drive profitable conversions elsewhere.
• Keep the initial account structure lean so each campaign accumulates data faster.
• Resist the temptation to launch every campaign type on day one just because the platform offers them.
• Document what you changed from your Google setup so you can trace performance differences later.
• Expand into new formats only after search campaigns have stabilized.

A focused search launch gives you a clean baseline, and a clean baseline is what makes every later decision easier.

Split Brand And Non-Brand From Day One

Separating brand and non-brand terms is one of the earliest structural calls you’ll make, and it matters more on a smaller platform.

• Brand campaigns typically convert efficiently and can mask weak non-brand performance if they’re lumped together.
• Separate campaigns let you set distinct budgets and goals for protecting your name versus acquiring new demand.
• Brand campaigns often stabilize faster, giving you an early signal that tracking and conversions are configured correctly.
• Non-brand campaigns need more patience and more room to learn, so isolating them prevents premature judgment.
• Reporting stays honest when brand efficiency isn’t inflating blended results.
• Negative keywords should keep brand terms out of non-brand campaigns, and vice versa.

Get this separation right at launch and you’ll avoid untangling a misleading account six months later.

Rethink Match Types Instead Of Mirroring Them

Match types share names across both platforms, but identical labels don’t guarantee identical behavior.

• Don’t assume a keyword strategy that works on Google will match the same queries on Microsoft.
• Lower search volume means overly restrictive match types can starve campaigns of the traffic they need to learn.
• Broader match types may help capture enough volume, but they need tight negative keyword management to stay relevant.
• Review search term reports frequently in the early weeks to see what your keywords actually trigger.
• Consolidate thin ad groups so keywords aren’t split across too many low-volume buckets.
• Build platform-specific negative keyword lists rather than recycling your Google lists wholesale.
• Revisit match type choices once you have enough query data to judge them fairly.

Match types are where “copy and paste” causes the most quiet damage, so give them deliberate attention rather than inheritance.

Importing From Google Ads: A Shortcut, Not A Finished Product

Microsoft Advertising lets you bring existing Google Ads campaigns over, which saves time but shouldn’t replace judgment.

• Imports are fast and preserve the structure your team already understands.
• They can also carry over settings, bids, and budgets that were calibrated for a much larger platform.
• Audit every imported campaign before it goes live, especially bids, budgets, and targeting settings.
• Check that conversion tracking is set up natively on Microsoft rather than assumed from Google.
• Review ad copy and extensions to confirm they render and behave as expected.
• Be cautious about recurring imports that may overwrite optimizations you’ve made on Microsoft specifically.

Use the import to skip the busywork, then do the thinking yourself.

Reset Expectations Around The Learning Period

This is the single biggest adjustment for teams coming from Google, and it’s where most Microsoft launches get sabotaged.

• According to PPC Hero, the typical learning period on Google Ads runs about two weeks, depending on budget.
• On Microsoft Advertising, PPC Hero advises setting the expectation that learning can take four to eight weeks, depending on budget and conversion volume.
• The reason is straightforward: Microsoft has a fraction of Google’s search volume, so algorithms need longer to gather enough signal.
• Avoid frequent or dramatic changes to bids and budgets during this window, since each change can disrupt learning.
• Communicate the longer timeline to stakeholders before launch, not after the first disappointing week.
• Since Google and Microsoft are often reported together, flag that early Microsoft numbers aren’t comparable to a mature Google account.
• Define in advance when you’ll evaluate performance so nobody pulls the plug mid-learning.

Patience is a strategy here, not a lack of one. Give campaigns a fair chance to stabilize before declaring them winners or losers.

Treat PMax And AI Max As Cousins, Not Twins

Microsoft Advertising offers campaign types that intentionally mirror Google’s, but similar names hide meaningful differences.

• Performance Max and AI Max exist on Microsoft and are designed to resemble their Google counterparts.
• As PPC Hero notes, these tools are built on different technology and trained on different data.
• They also serve a smaller audience, which affects how quickly automation can optimize.
• Results from Google’s version of a campaign type are not a reliable forecast of Microsoft results.
• Launch these campaign types with smaller test budgets before scaling.
• Feed them the cleanest possible conversion data, since automation is only as good as the signals it receives.
• Compare them against your stabilized search campaigns, not against Google benchmarks.

Automated campaigns can earn their place, but they should earn it on Microsoft’s terms, with Microsoft’s data.

Explore What’s Unique To Microsoft

Some of the most interesting opportunities on the platform don’t exist on Google at all.

• Audience ads are a campaign type unique to Microsoft Advertising, extending your reach beyond the search results page.
• They place ads across Microsoft’s broader network, which suits awareness and remarketing goals alongside search.
• Microsoft’s ecosystem offers targeting options that reflect its own audience data, including professional-oriented signals that can be valuable for B2B advertisers.
• Unique formats mean no existing playbook, which is both a risk and an opening that competitors may be ignoring.
• Start with modest budgets and clear success metrics, just as you would with PMax or AI Max.
• Separate these tests in reporting so their results don’t blur into search performance.

Platform-exclusive features are where Microsoft stops being “Google, but smaller” and starts adding something genuinely new to your mix.

Build Reporting That Separates The Platforms

Measurement habits can quietly undermine a Microsoft launch if they’re inherited unchanged from a Google-centric setup.

• Report Microsoft performance separately, at least through the learning period, rather than burying it in a blended search line.
• Set platform-specific benchmarks instead of holding Microsoft to Google’s cost-per-acquisition or volume expectations.
• Track brand and non-brand results independently on each platform.
• Note launch dates and major changes so you can connect performance shifts to causes.
• Watch conversion volume closely, since it directly influences how quickly automation and bidding stabilize.
• Revisit blended reporting only once both platforms are mature and comparable.

Clear, separated reporting is what keeps a promising new channel from being judged too early by the wrong yardstick.

Final Thoughts

Microsoft Advertising rewards advertisers who respect what makes it different. The familiar interface lowers the barrier to entry, but the smaller search volume, longer learning windows, and differently trained automation mean the playbook can’t be a straight copy. The sequence that works is simple: start with search, split brand from non-brand, rethink your match types, give the learning period the time it genuinely needs, and only then test the automated and platform-exclusive formats with controlled budgets.

The broader lesson applies well beyond one platform. Every new channel tempts marketers to import old assumptions and judge results by old benchmarks. The teams that grow sustainably are the ones that slow down at launch, set honest expectations internally, and let each channel prove itself on its own data.

Expand with intent, wait with discipline, and let the platform show you what it can do before you decide what it’s worth.