Most B2B Google Ads campaigns waste 60–70% of their budget on the wrong audiences, wrong keywords, and wrong landing pages. Here's the exact framework we use to build campaigns that compound — not campaigns that drain budget and deliver excuses.
Most Google Ads agencies optimise for click-through rate. You should optimise for revenue. These are not the same thing, and the gap between them is where budget goes to die.
Here's the framework we've used to consistently achieve 3–5x ROAS across B2B clients.
Not 'form submissions'. Not 'time on site'. The conversion event that maps to revenue.
For B2B, this is almost always:
If you can't attribute a revenue value to your conversion event, you can't optimise toward profitability. Get the CRM data mapped to Google Ads before launch.
We use a three-layer campaign architecture:
Always run brand. CPCs are pennies. Protects your traffic from competitors bidding on your name. Treat it as brand insurance, not lead generation.
Keywords like [service] [city], [service] software, [service] company UK. These are your revenue keywords. Separate campaigns, separate budgets, manual CPC or Target CPA bidding.
Bid on close competitors by name. Conversion rates are lower, but CPCs are usually cheap and these searchers are already solution-aware.
Broad match in 2025 is not the same beast it was in 2020. Google's algorithm expands it aggressively. Use it only when:
For new campaigns, start exact and phrase match only. Build your negative keyword list before you expand.
Sending B2B PPC traffic to your homepage is a budget incinerator. Dedicated landing pages for each campaign theme should:
Test this: Take your top-spending campaign. Create a dedicated landing page for it. In our experience, this single change improves conversion rate by 40–80%.
Don't jump to Target ROAS without conversion data. The algorithm needs signal.
Every Monday:
Every Month:
If your average customer lifetime value is £5,000 and close rate is 20%:
Most B2B accounts we audit have no idea what a lead is worth. Fix this first.
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