B2B marketing teams spent roughly 40 percent of their total ad budget on LinkedIn in 2025, according to Gartner's CMO Spend Survey. Google Ads took about 35 percent and Meta around 25 percent. But spend allocation does not equal performance. The question is not which platform gets the most budget. It is which platform actually moves pipeline for your specific business.
The answer depends on what you are trying to do. Each platform has a distinct strength, and the best B2B strategies use all three in different parts of the funnel. Here is how they compare across the dimensions that matter for B2B in 2026.
Option A: Google Ads for B2B
Google Ads wins on intent. Someone searching for "enterprise CRM pricing" or "B2B lead routing software" is already in-market. They have a problem, they know it, and they are evaluating solutions. Google captures that person at the moment of intent.
Strengths: Highest purchase intent of any platform. You can target by keyword, industry, job function, and in-market audience segments. Google's Performance Max campaigns use AI to allocate budget across Search, Shopping, Display, YouTube and Discover from a single campaign. Average cost per click for B2B keywords ranges from AUD 5 to 30 depending on the industry.
Weaknesses: Volume is limited by search demand. If nobody is searching for your product category, Google Ads does nothing for you. Clicks are expensive for competitive keywords. Brand search clicks from people already looking for you can inflate your reported performance. Google's default attribution models tend to overcredit the last click, which in B2B is rarely the first touchpoint.
Best for: Capturing in-market buyers, competitive conquesting, and high-intent bottom-of-funnel leads.
Option B: Meta for B2B
Meta has the largest user base of any platform with over 3 billion monthly active users across Facebook, Instagram and Messenger. For B2B, this means reach and frequency at a lower cost than LinkedIn or Google. The targeting options are extensive: job titles, industries, education levels, company sizes, and lookalike audiences built from your customer list.
Strengths: Lowest cost per click of the three platforms, typically AUD 1 to 5 for B2B targeting. Meta's Advantage+ AI campaigns have improved lead quality significantly in the last two years. Retargeting on Meta is excellent for keeping your brand in front of people who visited your website but did not convert. Reels and video content on Instagram are effective for brand awareness campaigns.
Weaknesses: Lower purchase intent than Google. People on Facebook and Instagram are in a discovery mindset, not a search mindset. Lead form quality on Meta is lower than LinkedIn or Google because the barrier to filling a form is low. You need a stronger qualification step and potentially a higher volume of leads to get the same number of qualified conversations.
Best for: Brand awareness, retargeting, lookalike audience prospecting, and high-volume top-of-funnel campaigns.
Option C: LinkedIn Ads for B2B
LinkedIn is built for B2B targeting. It is the only platform where you can target by job title, seniority, company name, company size, industry, skills, and group membership directly. LinkedIn's audience is also the most professional, which means higher engagement on sponsored content and InMail.
Strengths: Unmatched B2B targeting precision. If you need to reach senior data engineers at enterprise companies in Sydney, LinkedIn is the only platform where that audience exists as a targetable segment. Sponsored InMail has open rates around 50 to 60 percent according to LinkedIn's benchmarks, significantly higher than email. Lead quality from well-targeted LinkedIn campaigns is typically the highest of any paid platform.
Weaknesses: Highest cost. B2B cost per click on LinkedIn ranges from AUD 8 to 25, and cost per lead can exceed AUD 150 for competitive industries. Minimum budgets are higher than the other platforms. LinkedIn's algorithm also has a tendency to show your ads to people within your existing network rather than expanding reach to new audiences, which requires careful exclusion targeting.
Best for: Account-based marketing, targeting specific job titles and companies, high-value B2B lead generation, and building thought leadership through sponsored content.
What we recommend and why
The best approach is not one platform. It is a funnel strategy that uses each platform where it works best.
Start with Google Ads to capture the buyers who are already searching. This gives you the fastest path to pipeline because the intent is already there. Use LinkedIn for the accounts and job titles that are in your ideal customer profile, especially if your deal sizes are above AUD 20,000 and you need a targeted approach. Use Meta for brand awareness, retargeting visitors who did not convert, and building lookalike audiences from your best customers at a lower cost per touch.
The real challenge is not choosing a platform. It is measuring what each platform actually contributes to pipeline. When your B2B buyer sees a LinkedIn ad, searches for your product on Google, reads a blog post, then converts through a retargeting Meta ad, each platform claims the conversion. Without unified attribution, you will over-invest in whichever platform gets the last click.
We built a unified ad attribution system that tracks the buyer journey across all three platforms and assigns credit to every touchpoint. Our unified ad reporting guide shows how to set up a dashboard that pulls data from Google Ads, Meta and LinkedIn into a single view with Make. Once you have the measurement layer in place, you can allocate budget based on actual pipeline contribution rather than last-click reporting.
For attribution, we recommend a data-driven model that weights each touchpoint by its role in the buyer journey. Google's data-driven attribution is a good starting point for search. LinkedIn's conversion tracking works well for direct response campaigns. But the real value comes from connecting all three into a single attribution pipeline. Google's data-driven attribution documentation explains how the model works, and LinkedIn's conversion tracking setup covers their approach.
If you want a deeper look at how advertising performance changes when you have the right measurement, our marketing attribution pipeline guide walks through the reporting layer step by step.
Frequently asked questions
Which platform is best for B2B lead generation?
LinkedIn is typically best for high-ICP, low-volume B2B leads where targeting precision matters more than volume. Google Ads is best for in-market buyers searching for solutions and ready to evaluate. Meta is best for brand awareness and retargeting at a lower cost per touch. The best results come from using all three in a coordinated funnel.
What is the average CPL for B2B advertising?
LinkedIn CPL ranges from roughly AUD 80 to 200 depending on industry and targeting. Google Ads CPL ranges from AUD 30 to 80. Meta CPL ranges from AUD 15 to 50. These numbers vary significantly by industry, competition level, and campaign quality. The cost per qualified lead is more important than the cost per raw lead.
Should I use all three platforms?
If your budget allows, use Google for capture, LinkedIn for precision and Meta for retargeting. Each serves a different part of the funnel. The real advantage comes from unified attribution that shows you how each platform contributes to pipeline instead of just last-click revenue.
How do I track cross-platform performance?
You need a unified attribution system that tracks the buyer journey across platforms. Single-platform reporting overestimates that platform's contribution because it ignores the touchpoints that happened before or after. Our social campaign reporting guide shows a practical way to build this with tools your team already has.
What is the minimum budget for B2B ads?
A meaningful test budget is roughly AUD 2,000 per platform per month. Below that, the data is too thin to make allocation decisions. Expect to run tests for 60 to 90 days before you have statistically significant results for B2B campaigns with longer sales cycles.