Paid search and display is the work of getting the right ad in front of someone with intent, at the moment they have it, at a cost that returns acceptable margin. We run it through the Autonomous Operating System — the platform handles continuous optimisation across Google Ads, Microsoft Ads, programmatic display and retargeting; senior strategists own the configuration, creative direction and commercial relationship.
What we run
The standard programme covers:
- Google Search and Performance Max for intent capture and considered-purchase coverage
- Google Shopping for ecommerce SKU-level visibility
- Microsoft Ads where the audience overlap with Google Search is meaningful (often higher in B2B)
- Google Display and YouTube for upper-funnel awareness, retargeting and view-through capture
- Programmatic display via DV360 or equivalent for audience reach beyond Google's owned inventory
- Cross-platform retargeting against first-party audiences captured at the site/app layer
Channel mix is set per programme based on funnel stage, audience economics and what your data signal can support — not a fixed template.
How the work runs
Inside the AOS
The continuous optimisation loop
Five repeating phases run continuously, not in weekly batches.
- Configure
Senior strategists set the policy
Commercial targets (CAC ceiling, payback, blended ROAS), channel envelope, brand and policy guardrails, qualified-lead definition. The platform never moves outside these bounds.
- Plan
Media plan + creative briefs
Budget allocation across channels, audience strategy, creative direction and a measurement plan that the executions layer can ship.
- Execute
Push live across platforms
Approved campaigns ship to Google Ads, Microsoft Ads, programmatic and retargeting via official APIs. Idempotent — re-running config produces the same end state.
- Optimise
Continuous reallocation + variant testing
Specialist agents monitor performance, reallocate budget across channels and audiences within agreed bounds, ship creative variants, pause underperformers, escalate anomalies.
- Attribute
Closed the loop on revenue
Conversions and revenue flow back from your CRM and ad platforms into the optimisation layer. The system optimises against real commercial outcomes — not just last-click ad-platform conversions.
What it costs
Paid search and display sits inside our standard fee schedule — a sliding-scale percentage of monthly media spend. The fee covers strategy, execution, creative variant production, landing-page work tied to the campaigns, the AOS platform and the live reporting dashboard.
Use the calculator below to compare your current paid search setup (in-house, agency, hybrid) to what the same media spend would cost run through an AI-powered model. Media spend is held constant on both sides — the comparison is on what you pay to RUN the programme, not the working spend itself.
Interactive · Cost Calculator
What would this cost vs your current setup?
Set your in-house headcount, agency retainer, tools and media spend on the left. The right shows what the same media spend would cost run through an AI-powered model.
Your current setup
Current annual cost (excluding media)
£180,000
People + agency + tools. Media spend is held constant on both sides.
AI-powered agency · annual cost (excluding media)
£85,202
Management fee on £20,000/month spend at 23.0% + your existing tools.
Difference
£94,798/year
£7,900/month freed up. Reinvested into media, that’s an extra 4.7 months of working spend each year.
Indicative only. Loaded cost per head includes salary, oncosts, software seats and overhead. Real proposals model your specific channel mix, attribution and margin targets via the discovery.
What 'good' performance looks like
Channel-level benchmarks are starting reference points, not promises — every programme calibrates against your own historical performance. The lookup below shows indicative cost-per-click, conversion rate and cost per primary action by industry, channel and region.
Interactive · Channel Benchmark Lookup
Indicative paid channel benchmarks
Pick your industry, channel and region. The numbers are starting points the optimisation layer calibrates against.
Cost per click
£3.62
Local currency, indicative
Click-through rate
6.66%
Click rate on impressions
Conversion rate
7.52%
Click → primary action
Cost per primary action
£48
Cost per lead
How to read this
Per-channel benchmarks compiled from public industry reports (WordStream, LocaliQ, Databox, LinkedIn marketing benchmarks) plus Involve Digital portfolio data, in USD baselines. Industry multipliers are applied to search-style channels; social channels get the conversion-rate adjustment only because CPC there is behaviour-driven, not query-driven. Regional CPC multipliers and currency conversion are applied last. High-ticket B2B uses a 0.25× CVR dampener so the click → qualified-enquiry rate stays realistic. These are starting points; real proposals calibrate against your own actuals.
Want benchmarks calibrated against your real account data, not just industry averages? The Growth Discovery models your specific mix.
Run the discovery→AI-powered vs traditional paid search delivery
Operating model
What changes when paid search runs through the platform
Where this service wins
- B2B services + high-ticket programmes with long sales cycles where closed-loop attribution makes the difference between optimising to form fills vs closed-won revenue
- Mid-market businesses (£10k-£100k/month media) that want senior-agency execution at a fee structure that scales efficiently
- Brands that have hit a creative-velocity ceiling with their current setup — where in-house bandwidth or agency cycle time is capping testing volume
- Operations with reliable conversion tracking and CRM feedback that can support continuous optimisation against real signal
Where it doesn't fit
- Programmes below £5-7k/month media spend — at that scale, neither AI-powered nor traditional agency models work cleanly; marketing SaaS plus owner-operated execution usually wins
- Businesses with broken tracking, missing CRM feedback or no commercial targets — foundation work first, see our [readiness playbook](/insights/ai-marketing-readiness-playbook)
- Heavy approval cultures where every creative variant or budget shift requires committee sign-off — caps the velocity benefit; classic delivery may be the better fit
Read deeper on this
- What is an AI-powered marketing agency? — the pillar definition that positions paid search inside the wider model.
- Inside an autonomous growth engine: how the work actually gets done — the seven-layer architecture this service runs on.
- What does an AI-powered marketing agency cost? — pricing detail and the fee schedule explained.
- Why your CAC is climbing — and what to do about it — the systemic forces pushing paid search CAC up across most accounts.
- Conversion tracking foundations for AI-led marketing — the technical work upstream of paid search optimisation working.
FAQs
Common paid search and display questions
Do you manage Google Ads, Microsoft Ads, programmatic and retargeting all in one engagement?
What's your fee model?
Do you run Google Performance Max?
How quickly do you launch a new programme?
Do you charge a media markup?
Will the platform make decisions our team isn't comfortable with?
How do you handle creative production?
Can we trial this on one channel before committing across the full mix?
What happens to our existing Google Ads / Microsoft Ads accounts?
Do you work with brands outside the UK / Australia?
Sources and further reading
- Google — Search Ads benchmarks — annual industry benchmark updates for Google Search Ads.
- McKinsey — The state of AI — research on AI-driven optimisation in marketing functions.
- Gartner — CMO Spend Survey — annual benchmarks on paid media as a share of marketing budget.