Automate Google Display Ads workflows for revenue growth

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

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

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.

For ecommerce and marketplaces, caps spend where the next dollar stops paying for itself after costs, rather than at a fixed monthly number.

Checks competitor product pages for stockouts and price hikes on each run, and puts budget behind your matching products while they are out or pricier. Needs the Shopify MCP connected in Roadway to confirm your own stock.

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

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

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

Detects when platform automation (broad match, Advantage+, optimized targeting, Audience Expansion) quietly shifts spend toward retargeting, existing customers or low-quality inventory.

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

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

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

Reads your email send calendar, then retargets people in each send segment who did not click within 48 hours and suppresses ads to people who already clicked. Needs your email platform or CRM to sync audiences to the ad platforms.

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.

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.

Tags every ad across channels by angle, hook, format and offer, then finds which creative attributes drive performance across channels.

Reads stock by product from your store, pauses ads for products about to sell out, pushes overstock and restocks, and sends ads for sold-out items to an in-stock alternative. Needs the Shopify MCP connected in Roadway.

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.

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

Finds the Google Display topics that convert and removes the ones that just soak up impressions.

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

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

Watches return and refund rates by product, campaign and audience, and cuts the spend that brings buyers who send things back.

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.

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

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

Grades Google Display campaigns on activated and paying users from product data, not raw signups.

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

Uses product signals to target free or trial users who hit activation but have not paid, with upgrade-focused Google Display ads.

Reads price, cost and shipping changes by product, and moves bids and budgets to what makes profit after costs, not just revenue.

For major launches, runs a coordinated 7-14 day push to warm audiences across channels with launch creative, then winds it down.

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.

Reads sales and stock by product from your store, finds products selling faster than their ad spend is growing, and scales them while they are hot, inside stock and margin limits. Needs the Shopify MCP connected in Roadway.

A simple daily check of yesterday's ad spend, revenue and return by channel against target, for ecommerce teams.

Finds the best Meta image concepts and builds Demand Gen image ads from them in Figma, Canva or Runway, then has Runway edit the existing winning Reels into Shorts cuts, and lists them for YouTube upload because Google Ads can only use videos already on YouTube. If Runway is not connected it writes a recut brief instead. Needs a video MCP such as Runway connected in Roadway.

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

An opt-in workflow for ecommerce brands. Checks the forecast and local events by market, then swaps in matching ad copy and adjusts bids, like rain gear before a storm. Needs the Shopify MCP connected in Roadway to check stock.

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

Reads capacity by location (open slots, booked-out rate), and cuts ads where you cannot serve more, then pushes where slots sit empty.

Reads price, shipping and stock changes from your store, finds live ads that no longer match, and updates the headlines and offers to fix them. Needs the Shopify MCP connected in Roadway.

When pacing ahead of the cap, tightens bid targets before cutting budgets, so the remaining money buys the cheapest results instead of just shrinking delivery.

Checks that every channel optimizes to the same goal definition, so cost per goal comparisons across channels are fair.

Re-fits channel and campaign response curves weekly and moves budget across channels toward the best next dollar in small steps, inside every guardrail.

Finds native automated rules, scripts and third-party tools that conflict with Roadway agents (both changing the same budgets or bids).

Audits whether every channel has server-side conversion coverage (CAPI, enhanced conversions, offline imports) with good match quality and deduplication.

Maps each common anomaly type to a pre-approved fix that runs automatically, and escalates only what the playbooks cannot handle.

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.

Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.

Crawls every final URL in every channel's live ads for errors, redirects, slow loads and missing tracking parameters.

Finds over-fragmented campaign structures that starve automated bidding of data, and proposes consolidated structures channel by channel.

Alerts when a platform's reported conversions start drifting away from CRM or backend truth, which usually means a tracking or modeling change.

Splits the monthly cap into product-line or business-unit sub-caps and enforces each one across channels.

Reads how close total spend is to the monthly budget cap and flags any pace that would break it, with slowdowns proposed before it does. Roadway already enforces the cap as a guardrail, so this is the read-out and early warning.

A simple weekly check for efficient campaigns that are being held back by their budget on any channel.

Forecasts month-end and next-month results at several budget levels, so cap decisions are made with expected outcomes rather than gut feel.

Forecasts month-end spend, goal volume and cost per goal for each channel with a likely range, and says what to change today to hit plan.

Enforces per-channel floors and ceilings, so automation never starves a strategic channel or over-concentrates spend in one platform.

Measures the true impact of big account changes (a restructure, a bid strategy switch, a new channel) against a comparison group rather than before and after.

When your own site, checkout or signup flow goes down, pauses or throttles paid traffic across all channels until it is back.

Keeps a ranked backlog of test ideas across channels, ordered by expected effect and the spend at risk, so the next test is the one with the best payoff. You can set your own scores.

After every concluded test on any channel, writes a short readout and logs the learning, so future workflows do not repeat it.

The performance marketing agent's weekly budget rebalance across every connected channel, based on where the next dollar works hardest and pipeline quality.

Reports what a new customer costs overall and on paid channels, how fast that cost pays back and how it compares with customer value, using CRM and billing data rather than platform conversions.

Restates every channel's cost per goal and return using impact-test results, so budget decisions are based on real results, not attributed ones.

The performance marketing agent's general report: one view of spend, results and cost per goal across every connected channel, with what changed and why. Affiliate and SEO numbers are optional extras that need a data source you connect.

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.

A daily digest from the performance marketing agent: every spend, tracking, cost and delivery anomaly across channels, ranked by dollar impact.

A short morning digest of yesterday vs. normal on spend, attributed conversions and cost per new customer for every channel, with anything off-pace or broken called out first.

Ranks the biggest dollar opportunities across every channel this week (budget-limited winners, wasted spend, expansion and tests to run) so Monday's approval queue starts with what matters.

In the first 14 days of a launch, watches early demand signals (search volume, CTR and conversion rate) and scales the launch campaigns that show real pull in measured steps.

Puts hard lifetime caps and end dates on time-boxed promo, launch and surge campaigns, so they cannot keep spending after the moment has passed.

Recomputes next month's cap from forecast pipeline coverage, revenue targets and how fast spend pays back, instead of a static number set once a quarter.

Turns every channel's creative winners into a shared angle library and pushes the best angles to the channels that have not tried them, drafting new stills in Figma, Canva or Runway and new video in Runway or Google Veo. Needs an image MCP such as Figma or Canva, or a video MCP such as Runway or Google Veo, connected in Roadway.

When conversion rate jumps on a channel or campaign (seasonality, press, a launch, a competitor stumble), moves budget to what is converting in measured steps while the surge lasts, inside the cap.

Reads revenue by plan or product line, and shifts budget toward the lines that are growing profitably, away from the ones that are flat or shrinking.

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.

A weekly digest of account hygiene across all channels. It lists what each maintenance check found, links each finding to the workflow that fixes it, and changes nothing itself.

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.

In the last 7-10 days of the month, re-plans every channel's remaining budget so the month lands on plan with the best possible results.