Google Ads for B2B is a practice in B2B marketing. B2B Google Ads isn’t consumer PPC with a higher budget. It requires different keyword architecture, different audience layering, different conversion tracking, and different bidding logic — all calibrated to the reality of a 3 to 18-month sales cycle with 6 to 10 decision-makers.
Book Your Strategy Call →The default approach to Google Ads — broad match keywords, automated bidding optimised for conversions, single landing page per campaign — works reasonably well for consumer e-commerce. Applied to B2B, it generates expensive clicks from the wrong audience, optimises for form fills from unqualified prospects, and burns budget on keywords that will never convert to pipeline.
B2B Google Ads requires a different architecture from the ground up. Keyword strategy must distinguish between research-phase queries (high volume, low intent) and evaluation-phase queries (low volume, high intent) and bid accordingly. Audience layering must exclude consumers and students while prioritising in-market business buyers. Conversion tracking must measure pipeline-relevant actions — demo requests, strategy call bookings — not generic form fills. A B2B Google Ads account optimised for pipeline rather than lead volume typically generates 60–70% fewer leads at 3 to 4 times the pipeline value per lead.
The bidding environment also requires specific management. B2B CPCs in competitive categories regularly exceed £50 per click. At that price point, wasted spend on irrelevant queries, poor quality scores, or landing pages that don’t convert becomes a significant budget problem quickly. Quality score management, negative keyword discipline, and landing page relevance are not optional optimisations — they are foundational to running a profitable B2B account.
We rebuild or restructure accounts around B2B buying behaviour: keyword architecture that matches search intent, audience layers that filter for business buyers, and conversion tracking connected to pipeline rather than lead volume.
We map keywords to buying stages — awareness queries, solution-aware queries, and vendor-comparison queries — and bid each tier differently. High-intent, low-volume vendor-comparison keywords receive premium bids; broad research keywords receive lower bids with tighter audience restrictions. Negative keyword lists are built to systematically exclude consumer, student, and off-ICP traffic from day one.
We layer Customer Match lists, in-market audiences, and firmographic targeting (via LinkedIn audience import where available) to concentrate budget on searches originating from your ICP. Bid adjustments deprioritise searches from personal devices in non-business hours; competitor and remarketing audiences receive specific bid modifiers calibrated to their position in the buying journey.
We configure conversion tracking to distinguish between pipeline-relevant actions (demo bookings, strategy call requests, high-intent content downloads) and generic engagement (any form fill, homepage sessions). Offline conversion imports connect closed-won data back to Google Ads campaigns, allowing Smart Bidding to optimise toward revenue rather than lead volume.
B2B Google Ads managed by consumer PPC specialists consistently generates volume without pipeline. The discipline is calibrating every account decision to the economics of a complex B2B sale.
At £50+ CPC, a quality score of 4 vs 8 on the same keyword is the difference between paying double and paying market rate. We treat quality score management as a core account task — monitoring keyword, ad, and landing page alignment continuously and addressing quality score deterioration before it compounds into budget waste.
A B2B Google Ads account without a rigorous negative keyword strategy is an account paying for traffic from students, job seekers, and consumers. We build extensive negative keyword lists from day one and review the search term report weekly — adding negatives systematically as new irrelevant queries surface.
Smart Bidding strategies optimise toward the conversion actions they can observe. For a 12-month B2B sales cycle, optimising toward form fills produces the wrong signal. We configure offline conversion imports to feed closed-won revenue data back into Google Ads, so bidding algorithms optimise toward revenue rather than the nearest observable proxy.
Campaign structure determines what you can measure and what you can act on. We build account structures where campaign and ad group performance data maps to meaningful business questions — which product lines, which buying stages, and which audience segments are generating pipeline — rather than producing aggregated metrics that don’t inform decisions.
Deliverables span the initial account build or restructure, the ongoing management programme, and the reporting infrastructure that connects paid search spend to pipeline outcomes.
A full audit of your existing account (or a fresh build) with campaign structure, keyword architecture, and bidding strategy designed specifically for B2B buying behaviour.
Keyword research segmented by buying stage and intent level, with bid recommendations and negative keyword lists built to exclude off-ICP traffic from launch.
Customer Match uploads, in-market audience layering, remarketing list configuration, and bid modifiers calibrated to audience position in the buying journey.
Conversion tracking configured to distinguish pipeline-relevant actions from generic engagement, with offline conversion import setup connecting closed-won data back to campaign performance.
Audit of existing landing pages against B2B conversion best practice, with specific recommendations or full page builds for the highest-spend campaign groups.
Campaign-level reporting connecting spend to pipeline outcomes — cost per pipeline-qualified lead, ROAS by campaign, and quality score trends — with monthly optimisation recommendations.
Audit and architecture before any spend changes. We won’t restructure a live account until we understand what’s working and what’s wasting budget.
Full audit of existing account structure, keyword coverage, quality scores, conversion tracking, and spend efficiency. Strategy document outlining recommended restructure, keyword architecture, and bidding approach.
Campaign restructure or fresh build, keyword upload, negative keyword list implementation, audience layer configuration, and conversion tracking setup. All changes reviewed with the client before going live.
Campaigns launch with manual or target CPA bidding. Bidding strategy is reviewed after 2 weeks of data accumulation and transitioned to Smart Bidding once sufficient conversion data is available to support algorithm optimisation.
Weekly search term reviews, quality score monitoring, bid adjustments, ad copy testing, and audience list updates. Monthly reporting connecting spend to pipeline outcomes with optimisation recommendations for the following month.
The questions we hear from B2B marketing teams evaluating or improving their Google Ads programme.
For most competitive B2B categories with CPCs between £20 and £60, a minimum of £3,000 to £5,000 per month is needed to generate statistically meaningful conversion data and accumulate enough conversions to support Smart Bidding algorithms. Below that, you’re paying for management overhead proportionate to a programme that can’t generate the data needed to optimise.
Category matters significantly. Niche B2B verticals with lower CPCs and limited competition can run effective programmes on £1,500 to £2,000 per month. Highly competitive categories (cloud infrastructure, enterprise software, financial services) may require £10,000+ per month before achieving the impression share needed to drive consistent pipeline. Budget recommendations are always based on your specific keyword landscape.
Both, with different roles. Exact match keywords targeting high-intent, vendor-comparison queries should receive premium bids and tight landing page alignment. Phrase and broad match keywords targeting research-phase queries can be used for keyword discovery — identifying new high-intent queries to add to exact match — but should have lower bids and extensive negative keyword lists.
The common mistake is running broad match at full bid without negative keyword management. Google’s broad match has expanded significantly in recent years and will regularly serve ads on queries that are tangentially related but completely outside your ICP. Broad match without negative keyword discipline is one of the fastest ways to burn B2B budget on irrelevant traffic.
Offline conversion imports are the standard solution. When a lead generated from Google Ads progresses to an SQL, opportunity, or closed-won stage in your CRM, that event is exported and imported back into Google Ads as an offline conversion with a value attached. This allows the platform’s bidding algorithms to optimise toward events that predict revenue, not just the nearest observable conversion action.
In the interim — while the sales cycle plays out — we use intermediate conversion events that correlate with pipeline quality: demo bookings, strategy call requests, and high-intent content downloads. These are treated as leading indicators rather than primary optimisation signals, but they allow the Smart Bidding algorithm to function during the data accumulation period before closed-won data is available.
A quality score of 7 or above on your core keywords is the target. Quality score is a 1–10 rating reflecting the relevance of your keyword, ad copy, and landing page relative to the search query. Scores of 7–10 typically result in CPCs below the average auction price; scores below 5 result in CPCs above it.
Quality score is improved by tightening the relevance chain from keyword to ad copy to landing page. If a keyword is triggering ads that don’t closely match the query intent, and sending traffic to a landing page that doesn’t directly address the search, quality score will be low. Tight single-keyword or small keyword group ad groups with matched landing pages consistently produce quality scores of 7–10.
With caution. Performance Max campaigns run across all Google inventory — Search, Display, YouTube, Gmail, Maps — using machine learning to allocate budget across channels. For B2B, the transparency problem is significant: you have limited visibility into where your budget is going and can’t apply the negative keyword and audience controls that B2B accounts require.
Performance Max can work as a supplementary campaign for remarketing and brand awareness, where the lack of granular control is less problematic. For core demand capture — reaching prospects actively searching for your solution — standard Search campaigns with proper B2B architecture consistently outperform PMax for complex B2B buyers.
We’ll audit your existing account, identify where budget is being wasted, and rebuild around the keyword architecture and conversion tracking that B2B buying behaviour demands.