Stop fighting Google's AI bidding system. Feed it the right signals and let it find your highest-value customers automatically — at a fraction of your current cost.
Modern paid search isn't about manually bidding on keywords and writing ads. It's about feeding Google's AI the right signals — conversion data, audience inputs, creative assets, and campaign structure — so it can find your highest-value customers automatically, at the right bid, at the right moment.
Most agencies either over-control their campaigns (preventing Smart Bidding from working) or under-control them (handing the keys to Google with no strategic guardrails). We do neither. Our approach gives Google's AI the data and structure it needs to perform, while keeping strategic control where humans do it better.
Campaign structure designed from the ground up for Google's AI systems: the right balance of control and automation, with proper conversion tracking infrastructure, audience signal layers, and asset quality to maximise Smart Bidding performance.
Strategic asset group design, audience signal curation, profit-driven bidding configuration, and search term analysis — ensuring PMax campaigns drive incremental revenue, not just cheap brand clicks and already-converting users.
Target CPA, Target ROAS, Maximise Conversions, and Maximise Conversion Value strategies — configured correctly, with appropriate bid headroom, seasonality adjustments, and portfolio bidding where advantageous.
Systematic headline, description, and visual asset testing using Google's AI creative insights — identifying the messaging and imagery that resonates with your target segments, then scaling winning combinations rapidly.
Conversion rate optimisation aligned with paid search intent — from page structure and messaging hierarchy to form design, trust signal placement, and A/B testing infrastructure that feeds learning back into campaign performance.
Custom attribution models connecting ad spend to pipeline and revenue — giving you accurate data on what's actually driving growth vs. what's merely correlating with it, enabling confident budget allocation decisions.
Full account audit, conversion tracking verification, audience analysis, and complete campaign rebuild or restructure — laying the AI-ready foundation everything else depends on.
New campaigns go live, Smart Bidding enters its learning phase with proper data feeding, and we monitor closely — making micro-adjustments to audience signals, bids, and creative while the AI system calibrates.
Learning phase completes, performance stabilises, and we begin systematic creative testing, audience expansion, and campaign scaling — pushing into new segments with proven bidding configurations.
Monthly creative refreshes, budget reallocation based on performance data, seasonal adjustments, and continuous expansion into new campaigns as performance headroom is identified.
The average cost-per-acquisition reduction achieved across SIGNAL paid search accounts in the first 6 months — driven by AI bidding efficiency and landing page conversion improvements.
Landing page optimisation combined with tighter audience targeting consistently delivers conversion rate improvements of 2–3× against the pre-engagement baseline.
Our paid search team has managed over $80M in cumulative Google Ads spend across B2B, e-commerce, fintech, and healthcare clients — at all budget levels from $30K to $2M+ monthly.
"Our previous agency had us spending $180K/month with a $320 CPA. SIGNAL rebuilt our account, implemented proper Smart Bidding, and got us to a $34 CPA within 4 months. Same budget, 10× the results."Head of Performance Marketing, Fintech Scale-Up
Shopping campaigns, Dynamic Search Ads, and Performance Max — all need precise product feed optimisation and Smart Bidding configurations tuned to margin, not just revenue. We manage both.
B2B paid search requires careful qualification signals, long-cycle attribution modelling, and bidding strategies calibrated to pipeline value rather than lead volume. This is where most agencies fail and where we specialize.
LTV-based bidding, trial-to-paid conversion tracking, and audience strategies built around subscriber personas — managing subscription paid search correctly requires attribution sophistication most agencies don't have.
At lower budgets, AI bidding systems don't have enough data to perform well. At $30K+/month, the compounding efficiency gains from properly configured AI bidding are substantial — and our fee is more than covered by the CPA improvement.
If your current agency delivers a monthly slide deck with metrics you can't interrogate and decisions you can't understand, you'll find SIGNAL's transparency refreshing. You see everything we see, in real time.
Multiple inherited accounts with conflicting structures, inconsistent tracking, and overlapping campaigns? We perform account consolidations and reconstructions that eliminate waste and create a single coherent paid search architecture.