PPC Automation.

PPC automation encompasses the use of machine learning bid strategies (Smart Bidding), scripts (automated rules or custom JavaScript), and third-party management platforms (Optmyzr, Adalysis, Skai) to automate the management of paid search and paid social campaigns — removing manual repetition and enabling faster, data-driven decision-making at scale.

Smart Bidding as Core Automation

Google's Smart Bidding strategies (Target CPA, Target ROAS, Maximize Conversions, Maximize Conversion Value) are the most widely used PPC automation — automating the most labour-intensive campaign management task (bid adjustment) using signals unavailable to human managers. Smart Bidding automation is effective when conversion data volume is sufficient (typically 30-50 conversions/month per campaign).

Google Ads Scripts

Google Ads Scripts are JavaScript programmes that run within Google Ads to automate tasks: alerting when campaigns overspend, pausing ads that underperform against a threshold, adjusting bids based on weather data or competitor pricing, generating weekly performance reports and emailing them, and managing negative keyword additions based on search term analysis. Scripts execute on a schedule without human intervention.

What Not to Automate

Automation works well for optimisation within defined parameters; it struggles with strategy and creative quality. Automation pitfalls: leaving Smart Bidding running into the learning period with insufficient conversion data (produces erratic bidding), over-relying on Performance Max with no visibility into placement quality, and automating negative keyword management too aggressively (can exclude valuable converting queries). Human review of automation outputs remains essential.