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 Search campaign and sets budgets where the next dollar works hardest.
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Moves Google Search 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 Search spend toward them with stage-appropriate ads.
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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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When a deal closes above your size bar, finds the segment it belongs to and builds lookalike audiences, matching ads and extra budget for that segment.
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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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Watches competitor news for acquisitions, shutdowns and product sunsets, and launches switch campaigns on Search, Bing and LinkedIn for customers who suddenly have a reason to look.
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Detects sudden auction pressure (CPC jumps, new competitors, overlap spikes) on search, and separates it from internal causes.
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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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Measures how many Google Search conversions your ads truly drive and recalibrates targets with the result.
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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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When a competitor raises prices, removes a plan or changes packaging, updates Google Search conquesting campaigns and copy to capture switchers.
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Raises lead volume on the campaigns where extra spend keeps lead quality intact, and stops scaling where volume growth comes from junk leads.
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Spins up paid campaigns on the queries behind your best organic pages, using rankings from the Semrush or Ahrefs MCP, so winners get more than their organic share. Add the Peec AI MCP to include pages that AI answers cite. Needs the Semrush or Ahrefs MCP connected in Roadway.
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Reads marketplace liquidity by city or category and points Google Search spend at whichever side (supply or demand) is the bottleneck.
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Uses what converts in ChatGPT ads (situations and questions) to find new search keywords. If the Semrush or Ahrefs MCP is connected, it also checks which situations have no page ranking yet and writes SEO briefs for them. Without it, it skips the briefs.
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Takes proven Google Search keywords, themes and ad copy and rebuilds them as ChatGPT ads campaigns, targets and creative.
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Uses native split tests to prove whether a different Google Search bid strategy or target actually beats the current one.
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Decides how much to spend on brand search by testing whether brand ads are incremental when you already rank first organically and competitors are absent.
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An opt-in workflow that watches competitor status pages and, during a major outage, proposes a surge of Google Search spend on switch-intent audiences with pre-approved copy. Every surge waits for your approval, even if auto-approve is on.
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Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts.
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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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Audits whether every channel has server-side conversion coverage (CAPI, enhanced conversions, offline imports) with good match quality and deduplication.
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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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Finds over-fragmented campaign structures that starve automated bidding of data, and proposes consolidated structures channel by channel.
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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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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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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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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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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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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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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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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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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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