Performance marketing workflows for revenue growth at PLG companies

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

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

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

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

Finds where extra spend stops paying off for every Meta (Facebook & Instagram) campaign and sets budgets where the next dollar works hardest.

Finds where extra spend stops paying off for every Microsoft (Bing) campaign and sets budgets where the next dollar works hardest.

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

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

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

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

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

Finds strong organic posts on X from the brand, the team, customers and creators that mention us, and promotes the best ones to the right audiences.

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

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

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

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

Improves the quality of the conversion data Meta (Facebook & Instagram) optimizes on: deduplication, match quality, primary vs secondary actions and values.

Improves the quality of the conversion data Microsoft (Bing) optimizes on: deduplication, match quality, primary vs secondary actions and values.

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

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

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

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

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

Finds Google Search negative keywords that block your own keywords, and gaps where obvious negatives are missing.

Finds Microsoft (Bing) negative keywords that block your own keywords, and gaps where obvious negatives are missing.

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.

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.

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 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.

Checks that CRM stages are reaching ad platforms through offline imports and CAPI: on time, matched, and without errors.

A simple check of whether winning social and video audiences have room to scale before frequency gets too high.

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

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

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

Finds the Meta (Facebook & Instagram) spend caps, billing holds and limits that are silently blocking delivery, and clears them.

Finds the Microsoft (Bing) spend caps, billing holds and limits that are silently blocking delivery, and clears them.

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

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

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

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

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

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

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

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

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

Picks the right Meta (Facebook & Instagram) bid strategy and target for each campaign based on its conversion volume, maturity and goal.

Picks the right Microsoft (Bing) bid strategy and target for each campaign based on its conversion volume, maturity and goal.

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

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

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

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

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

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.

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

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

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

Detects when Meta (Facebook & Instagram) conversion tracking breaks or double counts, and protects automated bidding from bad data.

Detects when Microsoft (Bing) conversion tracking breaks or double counts, and protects automated bidding from bad data.

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

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

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

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

Detects when YouTube 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.

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

Finds bot, fraud and accidental click patterns on Meta (Facebook & Instagram), documents the evidence, and prepares a request for credit. It does not block traffic.

Finds bot, fraud and accidental click patterns on Microsoft (Bing) and blocks the sources.

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

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

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

Catches Meta (Facebook & Instagram) spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.

Catches Microsoft (Bing) spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.

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

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

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

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

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

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.

Turns converting search terms on Google Search Ads into new exact and phrase keywords and tightly themed ad groups, with negatives to avoid overlap.

Turns converting search terms on Microsoft (Bing) Ads into new exact and phrase keywords and tightly themed ad groups, with negatives to avoid overlap.

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

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

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

Finds Meta (Facebook & Instagram) ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

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

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

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

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

Finds YouTube 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.

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.

A test-and-learn loop for ChatGPT ads: writes new titles and one-line copy from the winning angles, tests each against the current best with a fixed split, and retires the losers on cost per goal once there is enough data.

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.

Writes new responsive search ad headlines and descriptions from your winning angles, tests each against the current best with a fixed split, and retires the losers once there is enough data.

A test-and-learn loop for LinkedIn 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.

A test-and-learn loop for Meta (Facebook & Instagram) ads: build new image variants in Figma, Canva or Runway and new video in Runway or Google Veo from the winning angles, test each against the current best with a fixed split, and retire the losers once there is enough data. Needs an image MCP such as Figma, Canva or Runway, or a video MCP such as Runway or Google Veo, connected in Roadway.

Writes new responsive search ad headlines and descriptions from your winning angles, tests each against the current best with a fixed split, and retires the losers once there is enough data.

A test-and-learn loop for Reddit 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.

A test-and-learn loop for Snapchat ads: build new image variants in Figma, Canva or Runway and new video in Runway or Google Veo from the winning angles, test each against the current best with a fixed split, and retire the losers once there is enough data. Needs a video MCP such as Runway or Google Veo connected in Roadway.

A test-and-learn loop for TikTok ads: build new image variants in Figma, Canva or Runway and new video in Runway or Google Veo from the winning angles, test each against the current best with a fixed split, and retire the losers once there is enough data. Needs a video MCP such as Runway or Google Veo connected in Roadway.

A test-and-learn loop for X 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.

A test-and-learn loop for YouTube ads: build new image variants in Figma, Canva or Runway and new video in Runway or Google Veo from the winning angles, test each against the current best with a fixed split, and retire the losers once there is enough data. Needs a video MCP such as Runway or Google Veo connected in Roadway.

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

When ChatGPT 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.

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.

When Google Search 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.

When LinkedIn 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.

When Meta (Facebook & Instagram) 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.

When Microsoft (Bing) 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.

When Reddit 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.

When Snapchat 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.

When TikTok 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.

When X 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.

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.

Spots trends in your category on LinkedIn and promotes a relevant founder or employee post as a Thought Leader Ad while the topic is in the feed.

Spots trends in your category on Reddit and drafts a promotion of a relevant post while the conversation is hot. Every promotion waits for your approval, even if auto-approve is on.

Spots trends in your category on X and drafts a promotion of a relevant post while the conversation is hot. Every promotion waits for your approval, even if auto-approve is on.

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.

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

Spots new phrases rising in your search terms and on-site searches, and works them into headlines and ad groups before competitors catch on.

Finds creatives that win on one social or video channel, builds resized image versions in Figma, Canva or Runway for the channels where they have not run, generates video cuts in Runway or Google Veo, and queues the launch for your approval. Needs a video MCP such as Runway or Google Veo connected in Roadway.

Takes keywords that win on Google Search Ads or Microsoft (Bing) Ads and proposes the same keywords and copy on the other channel.

Aligns Google Search delivery with the hours and days that actually convert, and with when your team can respond.

Aligns Microsoft (Bing) delivery with the hours and days that actually convert, and with when your team can respond.

Ad-level decisions for ChatGPT: pause losers only on cost per goal, keep winners, rebuild ads with the right concept and the wrong execution.

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.

Ad-level decisions for Google Search: pause losers, keep winners, rebuild ads with the right concept and the wrong execution.

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

Ad-level decisions for Meta (Facebook & Instagram): pause losers only when cost per goal says so, keep winners, rebuild ads with the right concept and the wrong execution.

Ad-level decisions for Microsoft (Bing): pause losers, keep winners, rebuild ads with the right concept and the wrong execution.

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

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

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

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

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

Decides where Meta Advantage+ sales and leads campaigns should replace manual setups, and how to steer them with budgets, exclusions and creative.

Compares Collection, Story and single Snap Ad formats on your goal metric and shifts spend to the format that wins.

Keeps Reddit spend in the subreddits where your buyers are and cuts the ones that bring clicks but no customers.

Rewrites ChatGPT ad context hints so sponsored cards match the right conversations, since there are no keywords or negatives.

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

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.

Finds which hooks, formats and messages win on LinkedIn, 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.

Finds which hooks, formats and messages win on Meta (Facebook & Instagram), 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.

Finds which hooks, formats and messages win on Reddit, 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.

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

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

Finds which hooks, formats and messages win on X, 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.

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

Shows where ChatGPT conversions actually happen by platform (iOS app, Android app and web) and decides which to keep, split out or exclude.

Adjusts Google Search delivery by device or platform based on where conversions actually happen.

Adjusts Microsoft (Bing) delivery by device or platform based on where conversions actually happen.

Shows where YouTube conversions actually happen by device and decides which devices to keep, split out or exclude.

Looks at how the title and copy on each ChatGPT sponsored card are performing, replaces the weak ones, adds missing angles and keeps the strongest.

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

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

Asset-level copy optimization for Microsoft (Bing): 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.

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

Keeps the Meta (Facebook & Instagram) interest targets that drive efficient results and prunes the ones that only add cheap reach.

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

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

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

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

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

Prunes and expands Reddit keyword targeting so ads show up next to the conversations your buyers are actually having.

Prunes and expands X keyword targeting so ads show up next to the conversations your buyers are actually having.

Finds the Lenses and AR ads that turn plays into results, scales them, and refreshes the ones that wear out.

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

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

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

Shifts Meta (Facebook & Instagram) spend toward the regions that convert efficiently and excludes the ones that never do.

Shifts Microsoft (Bing) spend toward the regions that convert efficiently and excludes the ones that never do.

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

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

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

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

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

Compares Smart+ with your manual TikTok campaigns and moves spend to the setup that wins on real downstream results.

Finds the organic and creator posts worth boosting as Spark Ads, and scales the creators whose content converts.

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

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

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

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

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

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

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

Keeps Meta (Facebook & Instagram) month-to-date spend on the curve that lands exactly at the channel budget, without overspend or a dead last week.

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

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

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

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

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

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

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.

Identifies our own organic Reddit posts and AMAs that earned genuine community traction, and promotes them to similar communities.

Raises Search bids for people who watched your YouTube ads or visited your site, using the audiences those sources already build, and trims the bids when the gain fades.

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.

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

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.

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

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

Shifts Meta (Facebook & Instagram) budget between campaigns inside the channel, from the ones past their cost guardrail to the ones with headroom, and holds total channel spend flat.

Shifts Microsoft (Bing) budget between campaigns inside the channel, from the ones past their cost guardrail to the ones with headroom, and holds total channel spend flat.

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

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

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

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

Shifts YouTube 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 ChatGPT ads.

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

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

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

When new reviews, ratings, awards or customer wins land, works the strongest proof into Meta (Facebook & Instagram) ads.

When new reviews, ratings, awards or customer wins land, works the strongest proof into Microsoft (Bing) ads.

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

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

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

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

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

Checks ChatGPT custom audiences built from first-party lists for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks Meta Custom Audiences (customer lists, website visitors from the pixel and Conversions API, and engagement audiences) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks Reddit custom audiences (customer lists and site visitors from the pixel) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks Snapchat audiences (Snap Audience Match customer lists and Snap Pixel audiences) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks TikTok custom audiences (customer files, website visitors, app activity and engagement) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks X custom audiences (uploaded lists and website visitors) for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Checks YouTube viewer lists and Customer Match lists in Google Ads for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

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.

Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.

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

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

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

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

Grades Meta (Facebook & Instagram) campaigns on activated and paying users from product data, not raw signups.

Grades Microsoft (Bing) campaigns on activated and paying users from product data, not raw signups.

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

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

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

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

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

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.

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

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

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

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

A weekly Meta (Facebook & Instagram) readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Microsoft (Bing) readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

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

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

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

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

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

When a competitor raises prices, removes a plan or changes packaging, updates Google Search conquesting campaigns and copy to capture switchers.

When a competitor raises prices, removes a plan or changes packaging, updates LinkedIn conquesting campaigns and copy to capture switchers.

When a competitor raises prices, removes a plan or changes packaging, updates Meta (Facebook & Instagram) conquesting campaigns and copy to capture switchers.

When a competitor raises prices, removes a plan or changes packaging, updates Microsoft (Bing) conquesting campaigns and copy to capture switchers.

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

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

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

Uses product signals to target free or trial users who hit activation but have not paid, with upgrade-focused Meta (Facebook & Instagram) ads.

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

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

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

Turns Instagram profile visits, saves, shares and DMs into retargeting audiences with offers that match the engagement.

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.

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 ChatGPT account: structure, tracking, bidding, targeting and creative, ranked by impact, with the workflow that fixes each issue.

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.

An onboarding audit of the whole Meta (Facebook & Instagram) account: structure, tracking, bidding, targeting and creative, ranked by impact, with the workflow that fixes each issue.

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

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

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

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

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

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

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.

Finds the creatives on LinkedIn Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on Meta Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on Reddit Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on Snapchat Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on TikTok Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on X Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the creatives on YouTube Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.

Finds the keywords on Google Search Ads that win on pipeline and cost per goal, then raises their budgets or bid targets a little each run.

Finds the keywords on Microsoft (Bing) Ads that win on pipeline and cost per goal, then raises their budgets or bid targets a little each run.

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.

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.

Drafts a dedicated landing page when a keyword or ad theme's volume and profitability clear your thresholds, then sets up a test against the current page. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

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

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

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

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

Gradually steps Meta (Facebook & Instagram) bid targets up or down to find the point where extra volume still pays back.

Gradually steps Microsoft (Bing) bid targets up or down to find the point where extra volume still pays back.

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

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

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

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.

Keeps Microsoft Advertising negative keyword lists and brand exclusions in sync with Google Ads, so lessons from one search engine protect the other.

Reads auction insights daily, and when a competitor drops out, raises bids and budgets on the terms they leave open while the gap lasts.

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

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

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

Uses native split tests to prove whether a different Meta (Facebook & Instagram) bid strategy or target actually beats the current one.

Uses native split tests to prove whether a different Microsoft (Bing) bid strategy or target actually beats the current one.

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

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

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

Finds regions where organic, direct and referral demand is climbing before you advertise there, and opens low-budget tests in the best of them.

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.

Tracks organic rank changes by page and query, and lowers non-brand bids where you rank in the top 3, then raises them where rankings slip.

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.

A daily check that raises Google Search and Microsoft (Bing) brand budgets, and checks for new competitors, in measured steps when brand impression share stays below target.

An opt-in workflow that watches competitor status pages and, during a major outage, proposes a surge of ChatGPT spend on switch-intent audiences with pre-approved copy. Every surge waits for your approval, even if auto-approve is on.

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.

An opt-in workflow that watches competitor status pages and, during a major outage, proposes a surge of Microsoft (Bing) spend on switch-intent audiences with pre-approved copy. Every surge waits for your approval, even if auto-approve is on.