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Automate Google Display Ads with expert workflows

Automate Google Display Ads with expert workflows

Browse 27 expert Google Display Ads workflows in the Workflow Automation Library. Each one runs inside a Roadway AI coworker, with changes held for approval. Google Display reaches people across millions of sites, so placements, frequency and creative fatigue decide whether spend turns into results or wasted impressions. Pick a workflow, add it to your Roadway agent, and review the first run before anything goes live.

All matching workflows

+1
Asks Clay to check your target accounts for a new leader in your buyer's function or a fresh funding round, then adds the accounts that qualify to your LinkedIn company targeting with a message that fits. Needs the Clay MCP connected in Roadway.
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Finds where extra spend stops paying off for every Google Display campaign and sets budgets where the next dollar works hardest.
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Uses an LLM to classify where your ads appeared on Google Display and YouTube (placements and videos), and finds brand-unsafe adjacency that keyword lists miss.
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Moves Google Display from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.
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When target accounts show buying intent (site visits, pricing views, third-party intent), shifts Google Display spend toward them with stage-appropriate ads.
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+1
Reads product events from PostHog to find the behaviors that predict upgrades, then uses the audiences you already sync from PostHog as targets, lookalike seeds and exclusions. Needs the PostHog MCP connected in Roadway.
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+4
For ecommerce and marketplaces, caps spend where the next dollar stops paying for itself after costs, rather than at a fixed monthly number.
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+1
Detects when platform automation (broad match, Advantage+, optimized targeting, Audience Expansion) quietly shifts spend toward retargeting, existing customers or low-quality inventory.
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Measures how many Google Display conversions your ads truly drive and recalibrates targets with the result.
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+4
Tags every ad across channels by angle, hook, format and offer, then finds which creative attributes drive performance across channels.
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+1
Moves target accounts through awareness, engagement and opportunity stages, with LinkedIn as the account-level channel and CRM-synced audiences on the other channels, and budgets that adapt to each account's signals.
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Uses native split tests to prove whether a different Google Display bid strategy or target actually beats the current one.
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Works across all channels

+5
Finds native automated rules, scripts and third-party tools that conflict with Roadway agents (both changing the same budgets or bids).
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+5
Audits whether every channel has server-side conversion coverage (CAPI, enhanced conversions, offline imports) with good match quality and deduplication.
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+5
For SaaS, sets channel spend limits from how fast each channel pays back its cost rather than a flat budget: channels that pay back fast earn more room.
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+5
Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.
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+5
Finds over-fragmented campaign structures that starve automated bidding of data, and proposes consolidated structures channel by channel.
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+5
Alerts when a platform's reported conversions start drifting away from CRM or backend truth, which usually means a tracking or modeling change.
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+5
Forecasts a launch's paid demand by channel, and sets the launch budget and its cap from comparable past launches.
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+5
Forecasts month-end and next-month results at several budget levels, so cap decisions are made with expected outcomes rather than gut feel.
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+5
The performance marketing agent's weekly budget rebalance across every connected channel, based on where the next dollar works hardest and pipeline quality.
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+5
Restates every channel's cost per goal and return using impact-test results, so budget decisions are based on real results, not attributed ones.
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+5
Connects launch campaigns to feature adoption, activation and pipeline in product and CRM data, so launch spend is judged on business impact.
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+5
Shows how fast paid-sourced opportunities move and close by channel: win rate, deal size and cycle length, not just pipeline created.
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+5
Checks every approved change against its measured impact a week later, and rolls back the ones that hurt, so bad changes never become the baseline.
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+5
Reviews what every coworker did, what it changed and what happened (Task History plus action-impact memory), and proposes the next workflows worth automating, or the ones to retire.
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+5
Spots keywords, ads and audiences that break out or stall, and proposes the next targeting, creative or landing page test, with drafts built in Figma, Canva or Runway, or your page builder. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy, and an image or video MCP such as Figma, Canva, Runway or Google Veo, connected in Roadway.
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