Sends a simple, rule-based value for each signup (an activated signup is worth the historical activation-to-paid value) so bidding chases people who activate. Uses a predicted value only if you supply a model that has a track record.
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Reads creator and affiliate link performance, and runs partnership ads on the posts already driving signups or sales. Needs affiliate or creator link data from a platform you connect, or it works only from creators already tagged in your ad account.
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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.
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Picks the right YouTube bid strategy and target for each campaign based on its conversion volume, maturity and goal.
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Takes proven YouTube campaigns into new countries or regions in a controlled way.
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When YouTube 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 supply by market, and the moment a new city has enough listings or providers to fill demand, launches demand campaigns there with local targeting.
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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.
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Watches return and refund rates by product, campaign and audience, and cuts the spend that brings buyers who send things back.
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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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Grades YouTube campaigns on activated and paying users from product data, not raw signups.
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Uses product signals to target free or trial users who hit activation but have not paid, with upgrade-focused YouTube ads.
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Reads price, cost and shipping changes by product, and moves bids and budgets to what makes profit after costs, not just revenue.
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Scales the campaigns that bring in users who activate, not just users who sign up.
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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.
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Takes proven Google Search keywords, themes and ad copy and rebuilds them as YouTube Ads campaigns and targets, with a video brief written from the winning angle and proof, and an optional still-image Demand Gen test. Needs an image MCP such as Figma, Canva or Runway connected in Roadway to draft the still-image test.
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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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Picks proven YouTube video ads and generates native cuts for Meta Reels, X and Reddit in Runway or Google Veo, with end cards and caption frames built in Figma, Canva or Runway. Needs a video MCP such as Runway or Google Veo connected in Roadway.
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Gradually steps YouTube bid targets up or down to find the point where extra volume still pays back.
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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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Takes proven YouTube targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.
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Reads aggregated themes from sales calls and turns the top pains and objections into ad angles, search ad groups and landing page proof.
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Watches partner and integration launches and updates copy on every channel (search sitelinks and headlines, LinkedIn and social hooks, ChatGPT context hints) to ride the announcement.
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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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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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Splits the monthly cap into product-line or business-unit sub-caps and enforces each one across channels.
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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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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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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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