B2B PPC requires a fundamentally different approach to B2C. Low search volumes, high CPCs, long sales cycles, and multi-stakeholder buying processes mean that the tactics optimised for e-commerce — volume bidding, broad match, conversion maximisation — produce expensive, low-quality results in B2B. This guide covers the structural decisions that determine whether PPC generates pipeline or just spend.
Keyword strategy: intent over volume
The most common B2B PPC mistake is targeting keywords by search volume. In B2B, a query with 100 monthly searches and clear buying intent is worth more than a query with 10,000 monthly searches from people doing general research. Build your keyword architecture around intent signals, not volume metrics.
Match types: the B2B approach
Broad match in B2B is almost always a budget drain. The query expansion that broad match enables is designed for high-volume consumer categories — in B2B, it reaches adjacent but non-ICP audiences who inflate click volumes while destroying conversion rates.
Phrase match hits queries containing your keyword phrase in order, with additional words before or after. This gives enough volume flexibility for B2B queries without the unconstrained expansion of broad match. Use phrase match for your primary keyword clusters and monitor the search terms report weekly to catch irrelevant expansions early.
Your highest-intent keywords — branded terms, specific competitor terms, demo and pricing queries — should run on exact match. These terms convert at premium rates and you don't want them expanding into related but lower-intent queries that dilute the campaign's performance signal. Protect your best-performing terms with exact match.
Build a negative keyword list before you launch. Standard B2B negatives: "free", "jobs", "salary", "course", "training", "tutorial", "DIY", "template" (unless you sell templates), and any company names that share terminology with your category but are not your ICP. Review the search terms report monthly and add irrelevant queries to the negative list. A well-maintained negative list typically improves conversion rate by 15-25%.
Account-based PPC: targeting specific companies
Customer Match in Google Ads allows you to upload a list of email addresses, which Google matches to logged-in Google accounts. This enables you to serve search ads exclusively — or at a bid premium — to contacts at your target accounts.
Upload email addresses from your top 200 target accounts. Set a bid adjustment of +30-50% for these audiences. When someone from a target account searches a relevant keyword, your ad appears higher and more frequently. Match rates are typically 40-60% of uploaded contacts. Requires a Google Ads account in good standing with sufficient history.
Upload existing customer email addresses and set them as excluded audiences. This stops you paying to serve ads to people who already pay you — a particularly expensive mistake in B2B where customer contacts frequently search branded terms as part of their normal product use. Suppression of existing customers typically reduces wasted spend by 8-15%.
Landing page design for B2B PPC
The landing page is where most B2B PPC campaigns fail. A generic homepage or product page receiving paid traffic converts at 0.5-1%. A purpose-built, query-matched landing page converts at 3-8%. The quality score and Quality Score improvement from better landing page relevance also directly reduces your CPCs.
The first thing a visitor sees when they click your ad should mirror the language they clicked on. If your ad says "ABM Software for Enterprise SaaS Teams," your landing page headline should contain the same phrase. Message match reduces bounce rates and improves Quality Score — both of which reduce your CPC while improving conversion rate.
Navigation links, blog posts, product tour links, and multiple CTAs scatter attention and reduce conversion rates. A paid landing page should have one goal and one CTA. Remove all navigation links. The only exit from the page should be the form submission or the browser back button.
Generic testimonials convert poorly in B2B. A testimonial from "a B2B SaaS CMO at a Series B company" converts much better than "a marketing leader" — because the specificity signals relevance to buyers in the same situation. Use logos and testimonials from companies that closely match your target ICP. If you serve multiple ICPs, build separate landing pages with relevant proof for each.
Bidding strategy for B2B
- Start with manual CPC or Maximise Clicks, not Maximise Conversions: Smart bidding (Target CPA, Maximise Conversions) requires substantial conversion data to optimise effectively. In B2B where MQLs are low-volume, smart bidding algorithms lack the signal they need and often make poor decisions. Start manual and transition to smart bidding only once you have 30+ conversions per month.
- Optimise for SQL, not MQL, if your CRM integration allows it: Import SQL data back into Google Ads as an offline conversion event. The bidding algorithm then optimises for the signal that actually predicts revenue — not the intermediate MQL metric that can be achieved by lowering quality thresholds. This typically improves ROAS by 25-40% over MQL-optimised smart bidding.
- Set bid adjustments by device — desktop first in B2B: B2B purchase decisions are made predominantly on desktop. Mobile traffic in B2B categories typically converts at 40-60% of desktop rates. Set a mobile bid adjustment of −30 to −50% unless your specific data shows otherwise. This reduces spend on low-converting mobile impressions and reallocates it to desktop where your buyers actually convert.
- Review auction insights weekly for competitive pressure: The Auction Insights report shows impression share versus competitors. If a competitor is appearing 80% of the time you are appearing for the same queries, they are likely capturing the buyers you are not. Use this data to adjust bids on your highest-priority terms and to identify new competitor terms to target.
B2B PPC Strategy Playbook
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