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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Improves the quality of the conversion data Google Display optimizes on: deduplication, match quality, primary vs secondary actions and values.
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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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A simple check that brand safety controls are on and match your rules on every channel with third-party or feed inventory.
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Finds the Google Display spend caps, billing holds and limits that are silently blocking delivery, and clears them.
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A simple check of how much of the target account and contact lists each platform actually matched.
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Picks the right Google Display bid strategy and target for each campaign based on its conversion volume, maturity and goal.
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Targets people who follow, engage with or research competitors on social and video platforms, with switch-focused creative.
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Detects when Google Display conversion tracking breaks or double counts, and protects automated bidding from bad data.
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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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Finds bot, fraud and accidental click patterns on Google Display and blocks the sources.
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Catches Google Display spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.
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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.
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Takes proven Google Display campaigns into new countries or regions in a controlled way.
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Finds rejected or limited Google Display ads, fixes what is fixable and appeals what was rejected by mistake.
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Finds Google Display ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.
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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.
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Joins Google Display leads to CRM stages so you can see which campaigns create pipeline, not just form fills.
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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.
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Watches your changelog and launch calendar, and spins up Google Display launch campaigns and copy refreshes for meaningful releases.
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Measures how many Google Display conversions your ads truly drive and recalibrates targets with the result.
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Tags every ad across channels by angle, hook, format and offer, then finds which creative attributes drive performance across channels.
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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.
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Builds and prunes Google Display audience segments (custom, in-market, your data) so budget follows the highest-intent people.
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Decides which Google Display audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.
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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.
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Asset-level copy optimization for Google Display: replace low performers, add missing angles and keep the strongest lines.
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Keeps the Google Display interest targets that drive efficient results and prunes the ones that only add cheap reach.
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Shifts Google Display spend toward the regions that convert efficiently and excludes the ones that never do.
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Keeps Google Display lookalike-style audiences seeded with your best customers and retires the ones that drift.
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Cuts the Google Display placements that burn budget on low-quality inventory and protects brand safety.
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Finds the Google Display topics that convert and removes the ones that just soak up impressions.
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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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Keeps Google Display month-to-date spend on the curve that lands exactly at the channel budget, without overspend or a dead last week.
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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.
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When new reviews, ratings, awards or customer wins land, works the strongest proof into Google Display ads.
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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.
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Measures how paid ABM touches move target accounts: engagement before opportunity creation, stage velocity and win rate vs unreached accounts.
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Shows how much of the target account list paid campaigns are reaching and engaging, by account tier.
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A weekly Google Display readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.
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For major launches, runs a coordinated 7-14 day push to warm audiences across channels with launch creative, then winds it down.
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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.
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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.
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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.
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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.
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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.
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Gradually steps Google Display bid targets up or down to find the point where extra volume still pays back.
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Reads support and churn-risk signals by segment and pulls upsell and renewal ads from customers who are having a bad time, then restores them when it clears.
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When a target account reaches evaluation or negotiation in the CRM, swaps its ads to security, ROI and customer proof for the buying committee.
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Builds Google custom segments from competitor brand searches and website URLs, to reach people evaluating competitors on Display and YouTube.
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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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Proposes and runs controlled tests of new Google Display targeting, so new audiences are found deliberately rather than by accident.
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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.
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Takes proven Google Display targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.
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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.
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Checks that every channel optimizes to the same goal definition, so cost per goal comparisons across channels are fair.
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Re-fits channel and campaign response curves weekly and moves budget across channels toward the best next dollar in small steps, inside every guardrail.
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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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Keeps campaign names and UTMs consistent on every connected channel so reporting, attribution and cross-channel analysis do not break.
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Audits whether every channel has server-side conversion coverage (CAPI, enhanced conversions, offline imports) with good match quality and deduplication.
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Maps each common anomaly type to a pre-approved fix that runs automatically, and escalates only what the playbooks cannot handle.
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When a new ad platform is connected, drafts the AI Coworker (goal, funnel, guardrails) and its starter workflows from what already works on your other channels, ready for approval.
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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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Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.
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A simple check that current customers and open opportunities are excluded from acquisition campaigns on every channel.
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Crawls every final URL in every channel's live ads for errors, redirects, slow loads and missing tracking parameters.
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A simple pre-flight check before launch campaigns go live: tracking, URLs, approvals, budgets and end dates.
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Checks that pricing, offers, launch messaging and claims are consistent and current across every channel's live ads.
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Archives dead campaigns, ad groups and ads across channels that clutter accounts and confuse automation and reporting.
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Finds over-fragmented campaign structures that starve automated bidding of data, and proposes consolidated structures channel by channel.
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Replaces fixed thresholds with forecast intervals per campaign and metric, so alerts fire only when something is truly unexpected given seasonality and trend.
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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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Uses an LLM to cluster recent wins in the CRM into new ICP segments, and turns each one into targeting for every channel.
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Splits the monthly cap into product-line or business-unit sub-caps and enforces each one across channels.
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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.
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A simple weekly check for efficient campaigns that are being held back by their budget on any channel.
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Forecasts a launch's paid demand by channel, and sets the launch budget and its cap from comparable past launches.
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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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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.
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When signal-based workflows surge spend (competitor outages, trends, launches), funds the surge by cutting the least efficient spend elsewhere so the cap holds.
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Enforces per-channel floors and ceilings, so automation never starves a strategic channel or over-concentrates spend in one platform.
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Keeps the total spend on tests and experiments across all channels within the agreed experiment budget, so exploration never eats the core.
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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.
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When your own site, checkout or signup flow goes down, pauses or throttles paid traffic across all channels until it is back.
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A simple check for ads still mentioning a launch as "new", an expired promo, or an old price.
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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.
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After every concluded test on any channel, writes a short readout and logs the learning, so future workflows do not repeat it.
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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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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.
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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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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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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.
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A 30-day review of a launch across channels: what drove adoption or pipeline, what to fold into always-on, and what to stop.
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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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When a competitor launches a product or changes prices, coordinates the response across channels in phases, starting where the overlap is highest.
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A daily digest from the performance marketing agent: every spend, tracking, cost and delivery anomaly across channels, ranked by dollar impact.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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A simple read on how launch campaigns did in their first 7 days by channel: spend, reach, clicks and goal events.
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A weekly snapshot of pipeline created by paid channels: qualified leads, opportunities and pipeline value by channel.
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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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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.
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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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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.
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