Google Display Ads agent

Finds the Google Display spend caps, billing holds and limits that are silently blocking delivery, and clears them.

Finds rejected or limited Google Display ads, fixes what is fixable and appeals what was rejected by mistake.

A weekly Google Display readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

Catches Google Display spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.

Keeps Google Display month-to-date spend on the curve that lands exactly at the channel budget, without overspend or a dead last week.

Shifts Google Display spend toward the regions that convert efficiently and excludes the ones that never do.

Improves the quality of the conversion data Google Display optimizes on: deduplication, match quality, primary vs secondary actions and values.

Checks Google Ads audience segments (your data segments, Customer Match and custom segments) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Finds Google Display ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Joins Google Display leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Reports Google Display revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Detects when Google Display conversion tracking breaks or double counts, and protects automated bidding from bad data.

Ad-level decisions for Google Display: pause losers only when cost per goal says so, keep winners, rebuild ads with the right concept and the wrong execution.

Finds which hooks, formats and messages win on Google Display, then drafts the next round of images in Figma, Canva or Runway and generates video in Runway or Google Veo. Needs an image MCP such as Figma, Canva or Runway, or a video MCP such as Runway or Google Veo, connected in Roadway.

Asset-level copy optimization for Google Display: replace low performers, add missing angles and keep the strongest lines.

Keeps the Google Display interest targets that drive efficient results and prunes the ones that only add cheap reach.

Cuts the Google Display placements that burn budget on low-quality inventory and protects brand safety.

An onboarding audit of the whole Google Display account: structure, tracking, bidding, targeting and creative, ranked by impact, with the workflow that fixes each issue.

Builds Google custom segments from competitor brand searches and website URLs, to reach people evaluating competitors on Display and YouTube.

Runs a small number of Google Display copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Proposes and runs controlled tests of new Google Display targeting, so new audiences are found deliberately rather than by accident.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Google Display, one change at a time.

Shifts Google Display budget between campaigns inside the channel, from the ones past their cost guardrail to the ones with headroom, and holds total channel spend flat.

Finds the Google Display campaigns and custom segments, topics, placements and audience segments that beat your cost per goal and scales them without breaking efficiency.

Uses your promo calendar and seasonality to ramp Google Display budgets, creative and targets before peaks, and roll them back after.

When new reviews, ratings, awards or customer wins land, works the strongest proof into Google Display ads.

Spots worn-out Google Display ads, then builds fresh image variants in Figma, Canva or Runway that keep the winning message and change one thing, and generates the video in Runway or Google Veo. Needs an image MCP such as Figma, Canva or Runway, or a video MCP such as Runway or Google Veo, connected in Roadway.

Grades Google Display campaigns on how many signups go on to use the product and pay, from your product data, not raw signups.

Finds bot, fraud and accidental click patterns on Google Display and blocks the sources.

When Google Display cost per goal jumps, breaks the change down into what you pay per click, how many people click and how many convert, and fixes the real cause.

Picks the right Google Display bid strategy and target for each campaign based on its conversion volume, maturity and goal.

Keeps Google Display lookalike-style audiences seeded with your best customers and retires the ones that drift.

Finds the Google Display campaigns where the landing page is the problem, drafts a challenger page in your page builder, and lays out a controlled test against the current page. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

Takes proven Google Display targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.

Takes proven Google Display campaigns into new countries or regions in a controlled way.

Gradually steps Google Display bid targets up or down to find the point where extra volume still pays back.

Watches your changelog and launch calendar, and spins up Google Display launch campaigns and copy refreshes for meaningful releases.

Uses product signals to target free or trial users who reached the first product milestone you define but have not paid, with upgrade-focused Google Display ads.

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.

Moves Google Display from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Builds draft landing page variants from the ad angles that win on Google Display, so each winning promise has a page that matches it. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

Measures how many Google Display conversions your ads truly drive and recalibrates targets with the result.

Uses native split tests to prove whether a different Google Display bid strategy or target actually beats the current one.

Finds where extra spend stops paying off for every Google Display campaign and sets budgets where the next dollar works hardest.

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.

When target accounts show buying intent (site visits, pricing views, third-party intent), shifts Google Display spend toward them with stage-appropriate ads.

Keeps testing new seed definitions (by value, recency, product and segment) for lookalike and predictive audiences, and promotes the seeds that produce the best customers.

A test-and-learn loop for Google Display ads: draft new image variants in Figma, Canva or Runway from the winning angles, write a brief for any video, test each against the current best with a fixed split, and retire the losers on cost per goal once there is enough data. Needs an image MCP such as Figma, Canva or Runway connected in Roadway.