Bing's cheaper CPCs: real savings or just older, weaker traffic?

Everyone pitches Microsoft Ads as the cheap alternative, and it's true that CPCs often sit well below Google's, so the same budget buys more clicks. But a low CPC on its own tells you very little. Bing's audience skews older, more desktop, and more often at work, which can be a real advantage for B2B or high-ticket offers. For mobile-heavy consumer e-commerce, that same pool can convert badly.

So the number that matters isn't what a click costs, it's what a conversion costs. Compare cost per conversion and conversion rate against Google using the same match types and the same date range. If Bing's CPA holds when you raise spend, the cheap clicks are real. If it falls apart past a certain budget, you bought cheap, weak traffic. Which one have your numbers shown so far?

Depends on whether you're bidding on the same queries in both networks. Much of the CPC gap comes from fewer advertisers competing on Bing, so the cheap clicks may be coming from different searches rather than the same search at a lower price. If you copy your Google keyword list straight into Bing, you can end up comparing two different markets.

Pull the search term reports from both and see how much spend lands on shared queries, then compare CPA on that overlap only. If the overlap is small, your Bing result mostly tells you about Bing's niche searches, not about the channel as a whole.

Overlap check is right, and sample size is the other half of it. Bing usually brings a fraction of Google's volume in the same market, so a cheap CPC can just mean a thin auction where you win a handful of queries. Say a clinic gets 30 conversions a month on Bing. A 20 percent CPA swing on that is mostly noise, but it's easy to drop into a client deck as a win anyway.

Conversion counting needs the same scrutiny. Bing's default attribution and conversion windows often differ from Google's, and if you import goals, the same lead can get claimed by both networks. So before comparing CPA across channels, make sure the denominator means the same thing on each side.

How many Bing conversions a month are you actually working with?

The sample size problem gets worse on smart bidding. At around 30 conversions a month, Maximize Conversions on Bing has very little to learn from, so the CPA you see may just be the model still finding its footing, not what the audience is actually worth. A 20 percent swing could come from the bidding moving rather than the traffic changing. For a fairer read, put both channels on comparable bid strategies for a few weeks, or keep Bing on manual CPC while you measure.

Which bid strategy are you running on Bing right now?

Depends on whether your Bing campaigns are budget-capped. If they run dry by early afternoon, flipping between Maximize Conversions and manual CPC won't tell you much, because the bidder can only spend what you give it. The cheap clicks might just be the ones you buy before the money runs out, and the later traffic you never reach could convert very differently. Look at lost impression share due to budget before you touch the bid strategy. If it's high, either raise the budget or lower it on purpose, then compare CPA at matched daily spend on both networks. If budget isn't the constraint, comparing bid strategies is a fair test.

A capped budget doesn't mean you're buying random clicks. Under Maximize Conversions the bidder tends to win the auctions it scores highest first, so early traffic can look cheap partly because it was already the best-scoring traffic. Say a dental clinic's Bing budget is gone by 1pm. If CPA looks great from 9 to 1 and the afternoon never shows up, you don't have a channel result yet, just a morning result. Break CPA down by hour on both networks before deciding whether Bing's clicks are cheap or just early.

Agreed, but look at the hourly split before you read anything into it. Google and Microsoft each report by hour in the account's own time zone, and budgets reset on that clock too. If the Bing account was set up with a different zone than the Google one, your "1pm cutoff" on one side could be a completely different hour of the day on the other, and the morning-versus-afternoon gap might just be a setup difference. Compare the time zone settings on both accounts first. If they don't match, shift one report so both show the same real hours. Otherwise you can burn a week tuning schedules around a timing gap that doesn't exist.

Agreed on the time zone check, and there's one more thing the hour split depends on: both reports have to count conversions the same way. Depending on the settings, an hourly view can group conversions by click time or by conversion time. If your leads take a few days to come in, a morning click that converts the next afternoon can make the afternoon look expensive or cheap for reasons that have nothing to do with the auction.

How much this matters comes down to the sales cycle. For a clinic booking same-day appointments, the two views barely differ. For B2B or high-ticket offers with a long lag, they can point in opposite directions.

So before tuning schedules, check which basis each platform uses for its hour breakdown, and whether your conversion window is long enough to cover the lag. If the lag is long, compare click hour and conversion hour separately and see whether the gap holds up in both.

Honestly, it comes down to how many conversions land in each hour bucket, and for most Bing accounts that number is tiny. At 30 conversions a month you get roughly one a day across the whole account, so a single hour might see one conversion every few days. A CPA gap between 9am and 1pm built on that is mostly luck, whichever basis the report uses.

I'd skip the hour-by-hour work for now and compare dayparts (morning, afternoon, evening) over three or four weeks instead. If a gap holds up at that level, then it's worth checking click time against conversion time. Hour splits only start to mean something once you're in the hundreds of conversions a month. Below that, they mostly make nice charts.