Bing Advertising: The Paid Search Channel Most Budgets Ignore

Bing advertising is paid search on Microsoft’s ad platform, covering placements across Bing, Yahoo, and a network of partner sites that collectively reach an audience most marketers consistently underestimate. If your paid search strategy begins and ends with Google, you are paying a premium to compete in the most crowded auction in digital advertising, while leaving a less contested, often higher-converting channel largely untouched.

That is not a knock on Google. It is a commercial observation. And commercial observations are what should be driving channel decisions.

I have managed hundreds of millions in ad spend across more than 30 industries. One pattern I kept seeing, especially in the years when performance marketing was at its most evangelical, was the reflexive concentration of budget into Google. Partly habit, partly because Google’s interface and reporting were more polished, partly because clients felt safer there. The problem is that “safe” in media buying usually means “expensive and overcrowded.” If you are thinking about how paid search fits into a broader growth strategy, the Go-To-Market and Growth Strategy hub covers the strategic framing that should sit behind any channel decision.

Who Is Actually on Bing?

Before you write off Bing as a retirement home for people who never changed their browser default, look at the actual audience composition. Microsoft’s own data, and independent research from multiple sources, consistently shows that the Bing audience skews toward higher household incomes, older age brackets, and professional roles. In the US, a meaningful proportion of Bing searches come from workplace devices where IT departments have set Bing as the default in Edge. That is not a trivial detail if you are selling B2B software, financial services, or anything where the buyer is a professional rather than a consumer browsing on a phone.

For categories like legal services, financial planning, healthcare, and enterprise technology, that demographic skew can make Bing’s audience more commercially valuable than its raw volume suggests. Volume is not the same as value. I spent years in agency life watching clients obsess over impression counts and click volumes without asking the more important question: who are these people, and are they actually likely to buy?

The Bing audience is also more desktop-heavy than Google, which matters in categories where purchase decisions happen at a desk rather than on a commute. If your conversion rate on mobile is structurally lower because your product requires a longer consideration cycle or a form that is genuinely difficult to complete on a small screen, Bing’s desktop weighting is a feature, not a limitation.

Why the CPC Difference Is Real and Why It Matters

Paid search is an auction. Prices are set by competition. Bing has fewer advertisers competing in most categories, which means lower average cost-per-click. That is not a reflection of lower quality traffic. It is a reflection of lower advertiser density. The two things are not the same, and conflating them is one of the most persistent errors I see in how marketers evaluate secondary channels.

When I was running agency operations and we were growing our paid search capability, we had clients who were paying double-digit CPCs on Google for terms where Bing was delivering the same intent signal at a fraction of the cost. The conversion rates were not identical, but they were close enough that the cost-per-acquisition on Bing was materially better. Not always. Not in every category. But often enough that ignoring Bing entirely was a defensible decision only if you had genuinely tested it and found it wanting, not if you had simply never bothered.

The CPC advantage is most pronounced in competitive verticals: insurance, legal, finance, software, and healthcare. These are categories where Google CPCs have been bid up by well-resourced competitors over years. Bing has the same intent signals in those categories at lower auction pressure. If you are in one of those verticals and you are not running Bing, you are leaving money on the table in the most literal sense.

How Microsoft Advertising Actually Works

Microsoft Advertising (the platform formerly known as Bing Ads) operates on a keyword auction model that will be immediately familiar to anyone who has used Google Ads. You bid on keywords, write ads, set targeting parameters, and pay per click. The structural mechanics are close enough that the learning curve for a Google Ads practitioner is minimal.

The campaign types available include search campaigns, shopping campaigns (Product Ads), display, video, and more recently, audience campaigns that extend reach beyond search intent. The search network covers Bing, Yahoo, AOL, and a set of syndication partners. The partner network quality varies, so it is worth monitoring placement-level performance and excluding low-quality sources if you are running broad distribution.

One feature that genuinely differentiates Microsoft Advertising from Google is LinkedIn profile targeting. Because Microsoft owns LinkedIn, advertisers can layer LinkedIn demographic data, specifically job function, industry, and company, onto their search campaigns. For B2B advertisers, this is a meaningful capability. You can target search queries from people in specific roles at companies of a certain size. That kind of targeting precision is not available anywhere else in paid search. It is not a gimmick. It is a genuine structural advantage for the right use case.

The interface has improved considerably over the past few years. It is not as polished as Google Ads, but it is functional, and the reporting is sufficient for most campaign management needs. The API is solid if you are managing at scale through a third-party tool.

The Google Import Question

Microsoft Advertising offers a direct import function that pulls your Google Ads campaigns, ad groups, keywords, and ads into the platform. It works. It is a legitimate way to get up and running quickly, and for most advertisers it is the right starting point rather than building from scratch.

But importing is not the same as optimising. A Google campaign imported wholesale into Bing will perform differently, sometimes better, sometimes worse, because the auction dynamics, the audience composition, and the competitive landscape are all different. Bids that make sense in Google’s auction may be too high or too low in Bing’s. Ad copy that resonates with Google’s audience may need adjustment for Bing’s demographic profile. Match types behave slightly differently. Automated bidding strategies have less historical data to work with on a new Bing account and will need time to calibrate.

The import is the starting gun, not the finish line. Treat it as a foundation and then manage the account actively. Check search term reports. Adjust bids based on Bing-specific performance data. Test ad copy variations. The platforms are similar enough that your Google learnings transfer, but different enough that you cannot simply copy and ignore.

One practical note: if you are using Smart Bidding in Google, you will need to set up Microsoft’s equivalent bidding strategies separately and give them time to learn. Do not expect parity in the first few weeks. Give the algorithms enough conversion data to work with before drawing conclusions about performance.

Where Bing Advertising Works Best

Bing is not equally valuable across every category. Being honest about where it works and where it does not is more useful than a blanket endorsement.

It works well for B2B advertisers, particularly those targeting senior decision-makers. The LinkedIn targeting layer makes this a genuinely differentiated channel for enterprise sales cycles. If you are selling something that requires a CFO or IT director to approve, the ability to filter search traffic by job function is worth real money.

It works well in high-CPC verticals where Google auction pressure has made the economics difficult. Finance, legal, insurance, and healthcare are the obvious examples. The cost differential in these categories can be substantial enough to justify a meaningful budget allocation.

It works well for advertisers targeting older demographics. If your customer is 45 or older, Bing’s audience skew is an advantage rather than a limitation. Home improvement, retirement planning, healthcare products, and similar categories often find Bing punches above its market share weight.

It works less well for categories that skew young, mobile-first, or where the purchase decision is made impulsively. Fashion, gaming, social-driven consumer products, and anything where the customer experience starts on a phone and ends in an app are categories where Bing’s desktop and older demographic weighting becomes a genuine constraint.

It also works less well if your Google Ads campaigns are not already performing. Bing amplifies what you are already doing. If your paid search fundamentals are broken, adding Bing will not fix them. Sort the foundation first.

Setting Up and Structuring a Bing Campaign

If you are starting from scratch or setting up alongside an existing Google account, the structural principles are the same as good Google Ads practice. Tight ad groups with thematically related keywords. Ad copy that speaks directly to the query intent. Landing pages that match the promise of the ad. Conversion tracking set up before you spend a pound or dollar.

Conversion tracking in Microsoft Advertising can be set up via the Universal Event Tracking tag (UET), which is the Bing equivalent of Google’s global site tag. Get this in place before you launch. Running paid search without conversion tracking is like running a sales team without a CRM. You will have activity but no accountability.

For keyword strategy, start with your highest-intent, highest-value terms from Google. Do not try to replicate your entire Google keyword set immediately. Start narrow, prove the economics, and expand from there. Tools like SEMrush’s suite of growth and keyword tools can help you identify which terms are worth prioritising based on volume and competition data across platforms.

Bid strategies: Microsoft Advertising offers manual CPC, enhanced CPC, target CPA, target ROAS, and maximise conversions. If you are starting with limited historical data, enhanced CPC or manual bidding gives you more control while the account builds its learning base. Automated bidding works best when the algorithm has enough conversion signal to work with. In a new account, that takes time.

Ad extensions (called ad assets in some interfaces) matter as much on Bing as on Google. Sitelinks, callouts, structured snippets, and call extensions all contribute to ad quality and can improve click-through rates meaningfully. Do not skip them because you are treating Bing as a secondary channel. A half-built Bing account will deliver half-built results.

Measurement and Attribution on Bing

One of the persistent challenges in paid search attribution is that the platforms measure themselves. Google tells you how well Google is doing. Microsoft tells you how well Microsoft is doing. Neither has a strong incentive to show you that the other platform deserves credit for a conversion.

I spent a significant part of my agency years handling exactly this problem. Clients would see Google taking credit for a conversion that Bing had assisted, or vice versa. The last-click model, which dominated performance reporting for too long, systematically undervalued channels that appeared earlier in the customer experience. If Bing introduced a customer who then converted through a Google branded search, Google got the credit and Bing looked like it was not working.

The honest approach is to look at total conversions across both platforms in the context of total spend, and to use a multi-touch or data-driven attribution model where your conversion volumes are sufficient to support it. For smaller accounts, the practical answer is to look at blended cost-per-acquisition across your paid search investment as a whole, rather than platform-by-platform in isolation. This is not a perfect measurement framework. But honest approximation beats false precision, and false precision is what last-click attribution gave most advertisers for years.

Microsoft Advertising does integrate with Google Analytics, which gives you a more neutral reporting environment than relying solely on the platform’s own conversion data. Set this up. It will give you a cross-platform view that is more useful for budget allocation decisions than each platform’s native reporting in isolation.

The Budget Allocation Question

How much should you put into Bing relative to Google? There is no universal answer, and anyone who gives you a specific percentage without knowing your category, your audience, and your current performance data is guessing.

A reasonable starting position for most advertisers is to allocate enough budget to Bing to generate statistically meaningful conversion data, typically 90 to 120 days of running at a volume that produces at least 30 to 50 conversions per month. Below that threshold, you cannot draw reliable conclusions about performance. Above it, you have enough signal to make informed budget decisions.

For advertisers in high-CPC verticals with a B2B or older demographic skew, a Bing allocation of 15 to 25 percent of total paid search budget is not unreasonable as a starting point. For consumer-focused, mobile-first, younger-skewing categories, that figure might be 5 to 10 percent, or the test might confirm that the channel does not work for your specific situation and you pull back accordingly.

What I would push back on is the instinct to give Bing a token budget that is too small to generate meaningful data, declare it does not work after four weeks, and move on. That is not a test. That is a self-fulfilling prophecy dressed up as experimentation. If you are going to test Bing, test it properly or do not bother.

Bing Shopping and Product Ads

For e-commerce advertisers, Microsoft Shopping (Product Ads) is worth specific attention. The setup mirrors Google Shopping: you connect a product feed via the Microsoft Merchant Center, create shopping campaigns, and your products appear in the Bing shopping results with images, prices, and product titles.

The same audience and CPC dynamics apply here as in search. Bing Shopping tends to be less competitive than Google Shopping in most product categories, which means lower CPCs for the same intent signal. For retailers with healthy Google Shopping performance, the incremental revenue from Bing Shopping can be material at relatively low marginal cost.

Feed quality matters as much on Bing as on Google. Product titles, descriptions, images, and pricing all influence how your products are matched to queries and how they perform in the auction. Do not assume that a feed optimised for Google will automatically perform optimally on Bing. The matching algorithms have differences. Test your feed structure and product titles specifically for Bing’s matching behaviour.

The Broader Channel Strategy Point

Earlier in my career, I overvalued lower-funnel performance channels and undervalued the strategic question of audience reach. Part of that was the industry’s obsession with attribution models that rewarded the last click and penalised everything that came before it. Part of it was the comfort of measurability. If you could see a direct line from click to conversion, it felt safe. Everything else felt fuzzy.

What I understand now, having managed enough P&Ls and seen enough growth trajectories, is that much of what performance marketing gets credited for was going to happen anyway. You are often capturing intent that already existed rather than creating new demand. That is valuable. But it is not the whole job. And it is not a growth strategy on its own.

Bing advertising sits firmly in the demand capture category. It is not a brand-building channel. It is not where you create new audiences or shift consideration. It is where you capture existing intent at a lower cost than the dominant platform, from an audience that is often more commercially valuable than its volume implies. That is a specific and legitimate role in a channel mix. Understand what it is for, and it will deliver. Expect it to do something it is not designed for, and you will be disappointed.

If you are thinking about how Bing fits into a broader paid search and growth strategy, the Go-To-Market and Growth Strategy hub covers the strategic frameworks that should inform those decisions, including how to think about channel mix, audience development, and where performance marketing fits relative to brand investment.

The most practically useful thing I can tell you about Bing advertising is this: the barrier to entry is low, the import from Google takes minutes, and the cost of finding out whether it works for your specific business is genuinely small. The cost of never finding out, if it turns out the channel would have delivered meaningful incremental volume at lower CPA, is much higher. That asymmetry should inform how you approach the decision.

For those interested in how growth tools and experimentation frameworks support channel decisions like this, SEMrush’s breakdown of growth hacking examples and CrazyEgg’s guide to growth hacking both offer useful context on the broader testing and optimisation mindset that should sit behind any channel expansion decision. On the audience and creator side, Later’s go-to-market with creators resource is worth a look if you are thinking about how paid search complements broader demand generation. And for B2B teams thinking about pipeline and revenue potential across channels, Vidyard’s future revenue report offers some useful framing on where untapped potential sits in go-to-market strategies.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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