Performance marketing workflows for sales-led B2B companies

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.

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.

Rebalances Google Search and Microsoft (Bing) budgets and bids so brand campaigns hold your impression share target at the lowest cost, without starving non-brand.

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).

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.

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 LinkedIn 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.

Keeps campaign names and UTMs consistent on every connected channel so reporting, attribution and cross-channel analysis do not break.

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.

Moves Google Display from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Moves Google Search from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Sends CRM pipeline and revenue values back to LinkedIn so results are measured on value, and recommends the switch to value-based bidding for a person to make in Campaign Manager once there is enough valued data.

Moves Meta (Facebook & Instagram) from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Moves Microsoft (Bing) from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Moves Snapchat from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Moves TikTok from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

Moves YouTube from optimizing to lead volume to optimizing to predicted pipeline or revenue value, using CRM and order data.

When target accounts show buying intent (site visits, pricing views, third-party intent), shifts Google Display spend toward them with stage-appropriate ads.

When target accounts show buying intent (site visits, pricing views, third-party intent), shifts Google Search spend toward them with stage-appropriate ads.

When target accounts show buying intent (site visits, pricing views, third-party intent), shifts LinkedIn spend toward them with stage-appropriate ads.

When target accounts show buying intent (site visits, pricing views, third-party intent), shifts Meta (Facebook & Instagram) spend toward them with stage-appropriate ads.

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.

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.

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.

A simple check that brand safety controls are on and match your rules on every channel with third-party or feed inventory.

A simple check that current customers and open opportunities are excluded from acquisition campaigns on every channel.

A simple weekly check of lead count, cost per lead and the share of leads sales accepted, by channel and campaign.

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

A simple pre-flight check before launch campaigns go live: tracking, URLs, approvals, budgets and end dates.

Checks that pricing, offers, launch messaging and claims are consistent and current across every channel's live ads.

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

Shows how much more search volume each efficient non-brand campaign could win, from lost impression share due to budget and rank.

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 Google Search 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.

A simple weekly view of how much you spend on competitor keywords and what it returns.

A simple check of how much of the target account and contact lists each platform actually matched.

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.

Archives dead campaigns, ad groups and ads across channels that clutter accounts and confuse automation and reporting.

When a creative variant beats control, clones it into the next-best audiences and placements on the same channel, with fresh learning budgets and the original kept as the benchmark.

Targets people who follow, engage with or research competitors on social and video platforms, with switch-focused creative.

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.

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

Ages every opportunity by the campaign that sourced it, and cuts or reroutes spend where deals sit in one stage far longer than the rest of your pipeline.

Replaces fixed thresholds with forecast intervals per campaign and metric, so alerts fire only when something is truly unexpected given seasonality and trend.

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

Detects sudden auction pressure (CPC jumps, new competitors, overlap spikes) on search, and separates it from internal causes.

Spots competitors, affiliates or scammers bidding on your brand in Google Search and impersonating you in ad copy.

Spots competitors, affiliates or scammers bidding on your brand in Microsoft (Bing) and impersonating you in ad copy.

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 LinkedIn 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 sudden drops in Google Search lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in LinkedIn lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in Meta (Facebook & Instagram) lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in Microsoft (Bing) lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in Reddit lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in Snapchat lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in TikTok lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

Catches sudden drops in X lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.

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 Google Search 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.

Uses an LLM to cluster recent wins in the CRM into new ICP segments, and turns each one into targeting for every channel.

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.

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.

Takes proven ChatGPT campaigns into new countries or regions in a controlled way.

Takes proven Google Display campaigns into new countries or regions in a controlled way.

Takes proven Google Search campaigns into new countries or regions in a controlled way.

Takes proven LinkedIn campaigns into new countries or regions in a controlled way.

Takes proven Meta (Facebook & Instagram) campaigns into new countries or regions in a controlled way.

Takes proven Microsoft (Bing) campaigns into new countries or regions in a controlled way.

Takes proven Reddit campaigns into new countries or regions in a controlled way.

Takes proven Snapchat campaigns into new countries or regions in a controlled way.

Takes proven TikTok campaigns into new countries or regions in a controlled way.

Takes proven X campaigns into new countries or regions in a controlled way.

Takes proven YouTube campaigns into new countries or regions in a controlled way.

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 rejected or limited ChatGPT ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Google Display ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Google Search ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited LinkedIn ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Meta (Facebook & Instagram) ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Microsoft (Bing) ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Reddit ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited Snapchat ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited TikTok ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited X ads, fixes what is fixable and appeals what was rejected by mistake.

Finds rejected or limited YouTube ads, fixes what is fixable and appeals what was rejected by mistake.

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.

Forecasts a launch's paid demand by channel, and sets the launch budget and its cap from comparable past launches.

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.

When signal-based workflows surge spend (competitor outages, trends, launches), funds the surge by cutting the least efficient spend elsewhere so the cap holds.

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.

Joins ChatGPT leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Google Display leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Google Search leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins LinkedIn leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Meta (Facebook & Instagram) leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Microsoft (Bing) leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Reddit leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins Snapchat leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins TikTok leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins X leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Joins YouTube leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

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

Keeps the total spend on tests and experiments across all channels within the agreed experiment budget, so exploration never eats the core.

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.

Watches your changelog and launch calendar, and spins up ChatGPT launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up Google Display launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up Google Search launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up LinkedIn launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up Meta (Facebook & Instagram) launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up Microsoft (Bing) launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up Reddit launch campaigns and copy refreshes for meaningful releases.

Watches your changelog and launch calendar, and spins up X launch campaigns and copy refreshes for meaningful releases.

Finds organic pages that convert visitors well but rank low, using rankings from the Semrush or Ahrefs MCP, and launches paid search campaigns to buy the traffic SEO cannot win yet. Add the Peec AI MCP to include pages that AI answers do not cite. Needs the Semrush or Ahrefs MCP connected in Roadway.

Measures how many Google Display conversions your ads truly drive and recalibrates targets with the result.

Measures how many Google Search conversions your ads truly drive and recalibrates targets with the result.

Measures how many LinkedIn conversions your ads truly drive, when the account has enough conversion volume for a matched-market test, and recalibrates targets with the result.

Measures how many Meta (Facebook & Instagram) conversions your ads truly drive and recalibrates targets with the result.

Measures how many Snapchat conversions your ads truly drive and recalibrates targets with the result.

Measures how many TikTok conversions your ads truly drive and recalibrates targets with the result.

Measures how many YouTube conversions your ads truly drive and recalibrates targets with the result.

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.

Mines the Google Search search terms report to add winners as keywords and block wasted spend with negatives.

Mines the Microsoft (Bing) search terms report to add winners as keywords and block wasted spend with negatives.

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

Reads how AI answers describe your brand against competitors from the Peec AI MCP, and uses ChatGPT ads and search ads to cover the questions where you are missing or misrepresented. Needs the Peec AI MCP connected in Roadway.

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.

Keeps your LinkedIn Predictive Audiences and company list expansion seeded with your best customers, and retires the ones that drift.

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

Aligns Meta (Facebook & Instagram) 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.

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

Aligns TikTok 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.

Builds and prunes Google Display audience segments (custom, in-market, your data) so budget follows the highest-intent people.

Builds and prunes Google Search audience segments (custom, in-market, your data) so budget follows the highest-intent people.

Builds and prunes Microsoft (Bing) audience segments (custom, in-market, your data) so budget follows the highest-intent people.

Builds and prunes YouTube audience segments (custom, in-market, your data) so budget follows the highest-intent people.

Decides which ChatGPT audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Google Display audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Google Search audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which LinkedIn audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Meta (Facebook & Instagram) audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Microsoft (Bing) audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Reddit audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which Snapchat audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which TikTok audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which X audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Decides which YouTube audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

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.

Runs competitor-term search campaigns efficiently: which competitor terms to bid on, at what price, with what copy and comparison pages.

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

Tunes LinkedIn Conversation Ads (the branching message flows sent to the inbox) so more recipients click through to a qualified action.

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.

Uses LinkedIn demographic reporting to keep spend on the job titles, functions and seniorities that create pipeline.

Decides, keyword by keyword, whether to pause, keep, re-bid or change match type in Google Search so the whole campaign hits your cost per goal while it scales.

Decides, keyword by keyword, whether to pause, keep, re-bid or change match type in Microsoft (Bing) so the whole campaign hits your cost per goal while it scales.

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.

Makes Google Search lead forms produce qualified leads instead of cheap, junk submissions.

Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions.

Makes Meta (Facebook & Instagram) lead forms produce qualified leads instead of cheap, junk submissions.

Makes Reddit lead forms produce qualified leads instead of cheap, junk submissions.

Makes Snapchat lead forms produce qualified leads instead of cheap, junk submissions.

Makes TikTok lead forms produce qualified leads instead of cheap, junk submissions.

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

Uses Microsoft Advertising's LinkedIn profile targeting (company, industry, job function) as bid signals on search to favor ICP searchers.

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.

Keeps X lookalike-style audiences seeded with your best customers and retires the ones that drift.

Keeps Google Display lookalike-style audiences seeded with your best customers and retires the ones that drift.

Keeps Meta (Facebook & Instagram) lookalike-style audiences seeded with your best customers and retires the ones that drift.

Keeps Reddit lookalike-style audiences seeded with your best customers and retires the ones that drift.

Keeps Snapchat lookalike-style audiences seeded with your best customers and retires the ones that drift.

Keeps TikTok lookalike-style audiences seeded with your best customers and retires the ones that drift.

Cuts the Google Display placements that burn budget on low-quality inventory and protects brand safety.

Cuts the Meta (Facebook & Instagram) placements that burn budget on low-quality inventory and protects brand safety.

Cuts the Microsoft (Bing) partner and Audience Network sites that burn budget on low-quality traffic and protects brand safety.

Cuts the Snapchat placements that burn budget on low-quality inventory and protects brand safety.

Cuts the TikTok placements that burn budget on low-quality inventory and protects brand safety.

Cuts the YouTube placements that burn budget on low-quality inventory and protects brand safety.

Checks which Instagram ads get Reels and Stories delivery with creative built for feed, then drafts 9:16 image versions in Figma, Canva or Runway and generates video in Runway or Google Veo for ads that need motion. Needs a video MCP such as Runway or Google Veo connected in Roadway.

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

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.

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.

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.

Tracks registrations against capacity for every event and scales campaigns so each one is 100% full a week out, then stops spending.

Reads open demo slots and lead backlog, then scales lead campaigns up when reps have room and throttles them when leads would sit untouched.

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

A simple check for ads still mentioning a launch as "new", an expired promo, or an old price.

When negative sentiment spikes (an outage, a pricing backlash, a bad news cycle), pauses or swaps out promoted social posts that would land badly, and restores them when it passes.

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.

Scans social and news mentions of your brand, picks the best, and promotes them on Facebook Ads with audiences and budgets ready to approve.

Scans social and news mentions of your brand, picks the best, and promotes them on Instagram Ads with audiences and budgets ready to approve.

Scans social and news mentions of your brand, picks the best, and promotes them on LinkedIn Ads with audiences and budgets ready to approve.

Scans social and news mentions of your brand, picks the best, and promotes them on Reddit Ads with audiences and budgets ready to approve.

Scans social and news mentions of your brand, picks the best, and promotes them on X Ads with audiences and budgets ready to approve.

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

Continuously prunes and expands LinkedIn targeting facets based on which titles, companies and skills produce opportunities in the CRM.

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.

Extends ABM beyond LinkedIn: finds where your target accounts' buyers actually show up on X, Reddit and ChatGPT, and funds the channels that move those accounts toward pipeline.

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 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.

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

Checks LinkedIn Matched Audiences (contact lists, company lists, website retargeting and lead gen form audiences) 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 Microsoft Advertising remarketing and Customer Match lists 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.

Measures how paid ABM touches move target accounts: engagement before opportunity creation, stage velocity and win rate vs unreached accounts.

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.

Weekly brand search report: impression share, top-of-page rate, CPC trend and competitor overlap on brand terms on Google and Microsoft.

Shows which roles inside target accounts are engaging with LinkedIn ads, so you know whether you are reaching the whole buying committee.

Reads Google Search auction insights for brand and non-brand campaigns to show which competitors are gaining overlap and outranking you.

Reads Microsoft (Bing) auction insights for brand and non-brand campaigns to show which competitors are gaining overlap and outranking you.

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.

Shows how fast paid-sourced opportunities move and close by channel: win rate, deal size and cycle length, not just pipeline created.

Turns the Google Search search terms report into intent themes that show where money goes and which new keywords or negatives you need.

Turns the Microsoft (Bing) search terms report into intent themes that show where money goes and which new keywords or negatives you need.

Shows how much of the target account list paid campaigns are reaching and engaging, by account tier.

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.

A 30-day review of a launch across channels: what drove adoption or pipeline, what to fold into always-on, and what to stop.

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.

When a competitor launches a product or changes prices, coordinates the response across channels in phases, starting where the overlap is highest.

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

An onboarding audit of the whole LinkedIn 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.

Runs a small number of ChatGPT copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

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.

Runs a small number of Google Search copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of LinkedIn copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of Meta (Facebook & Instagram) copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of Microsoft (Bing) copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of Reddit copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of Snapchat copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of TikTok copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of X copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Runs a small number of YouTube copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Finds the ChatGPT 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.

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.

Finds the Google Search 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.

Finds the LinkedIn 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.

Finds the Meta (Facebook & Instagram) ad sets 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.

Finds the Microsoft (Bing) 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.

Finds the Reddit 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.

Finds the X 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.

Raises lead volume on the campaigns where extra spend keeps lead quality intact, and stops scaling where volume growth comes from junk leads.

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.

Compares pipeline coverage with the quarter's target every week, and raises spend on the most efficient sources when coverage trails, inside the cap.

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.

Finds the ChatGPT campaigns and context hints plus country, platform (iOS app, Android app, web) and custom audience targeting that beat your cost per goal and scales them without breaking efficiency.

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.

Finds the Google Search campaigns and keywords that beat your cost per goal and scales them without breaking efficiency.

Finds the LinkedIn campaigns and audience facets (company lists, job titles, functions, seniorities, skills, industries, company size) and matched audiences that beat your cost per goal and scales them without breaking efficiency.

Finds the Meta (Facebook & Instagram) campaigns and audiences (Advantage+ audience suggestions, custom audiences, lookalikes, interests and detailed targeting) that beat your cost per goal and scales them without breaking efficiency.

Finds the Microsoft (Bing) campaigns and keywords that beat your cost per goal and scales them without breaking efficiency.

Finds the Reddit campaigns and communities (subreddits), keywords, interests and custom audiences that beat your cost per goal and scales them without breaking efficiency.

Finds the Snapchat campaigns and audiences (Snap Lifestyle Categories, custom audiences, lookalikes, and demographic and interest targeting) that beat your cost per goal and scales them without breaking efficiency.

Finds the TikTok campaigns and audiences (custom audiences, lookalikes, interest and behavior targeting, and Smart+ automatic targeting) that beat your cost per goal and scales them without breaking efficiency.

Finds the X campaigns and keyword, conversation topic, follower look-alike (@handle), interest and custom audience targeting that beat your cost per goal and scales them without breaking efficiency.

Finds the YouTube campaigns and custom segments, topics, placements (channels/videos) and audience segments that beat your cost per goal and scales them without breaking efficiency.

Uses an LLM to grade every new search term's relevance to the ICP and offer, adding negatives and keywords automatically before wasted spend piles up.

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.

Builds a cross-channel sequence: high-intent search clickers who did not convert get follow-up proof on Meta and LinkedIn.

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.

Mines the Reddit threads and comments where buyers describe their problem, and turns that language into new search keywords and RSA headlines.

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.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as ChatGPT ads campaigns, targets and creative.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as LinkedIn Ads campaigns, targets and creative.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as Meta ads campaigns, targets and creative.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as Microsoft (Bing) ads campaigns, targets and creative.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as Reddit Ads campaigns, targets and creative.

Takes proven Google Search keywords, themes and ad copy and rebuilds them as X Ads campaigns, targets and creative.

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.

Takes proven LinkedIn messaging and thought leadership and rebuilds it for cheaper reach on X and Reddit.

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.

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.

A simple weekly snapshot of what competitors are currently running in the public ad libraries.

A simple read on how launch campaigns did in their first 7 days by channel: spend, reach, clicks and goal events.

A weekly snapshot of pipeline created by paid channels: qualified leads, opportunities and pipeline value by channel.

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.

Watches LinkedIn for posts by employees, customers and creators that mention you, and drafts Thought Leader Ad campaigns around the best ones, ready to approve.

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.

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.

Reads the conference calendar and runs account-based campaigns around each event: before to book meetings, during to drive booth traffic, after to follow up.

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.

When a target account reaches evaluation or negotiation in the CRM, swaps its ads to security, ROI and customer proof for the buying committee.

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.

Builds ChatGPT ad groups for conversations where people compare or look for alternatives to competitors.

Builds Google custom segments from competitor brand searches and website URLs, to reach people evaluating competitors on Display and YouTube.

Watches review sites for waves of negative competitor reviews, then turns the themes into 'alternative' search ads written only from your own approved claims.

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.

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.

Drafts "us vs competitor" and "alternative to" landing pages for competitor-targeted campaigns, then tests them against the generic page. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

Tests ungated vs gated (Lead Gen Form after preview pages) LinkedIn document ads to balance lead volume against quality.

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.

Proposes and runs controlled tests of new ChatGPT targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Google Display targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Google Search targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new LinkedIn targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Meta (Facebook & Instagram) targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Microsoft (Bing) targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Reddit targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new Snapchat targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new TikTok targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new X targeting, so new audiences are found deliberately rather than by accident.

Proposes and runs controlled tests of new YouTube targeting, so new audiences are found deliberately rather than by accident.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on ChatGPT, one change at a time.

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.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Google Search, one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on LinkedIn, one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Meta (Facebook & Instagram), one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Microsoft (Bing), one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Reddit, one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on X, one change at a time.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on YouTube, one change at a time.

Takes proven ChatGPT targets and tests the adjacent ones (neighboring situations and questions) to find the next layer of scale.

Takes proven Google Display targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.

Takes proven Google Search targets and tests the adjacent ones (related keywords, broader match types, new audience segments) to find the next layer of scale.

Takes proven LinkedIn targets and tests the adjacent ones (neighboring job titles, industries and company lists) to find the next layer of scale.

Takes proven Meta (Facebook & Instagram) targets and tests the adjacent ones (neighboring interests, lookalikes, Advantage+ audience) to find the next layer of scale.

Takes proven Microsoft (Bing) targets and tests the adjacent ones (related keywords, broader match types, similar audiences) to find the next layer of scale.

Takes proven Reddit targets and tests the adjacent ones (neighboring communities, keywords and interests) to find the next layer of scale.

Takes proven X targets and tests the adjacent ones (neighboring keywords, conversation topics and follower look-alikes) to find the next layer of scale.

Takes proven YouTube targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.

Reads the share of leads sales qualifies, by campaign, from the CRM, and when quality drops, narrows targeting and shifts budget to what sales actually accepts.

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.

Reads aggregated themes from sales calls and turns the top pains and objections into ad angles, search ad groups and landing page proof.

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.

When brand search impression share on Google or Microsoft dips below target (usually a competitor bidding on your name), the Meta, LinkedIn and ChatGPT coworkers raise brand-defense spend on the people being targeted: recent site visitors, high-intent accounts and branded ChatGPT contexts.

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.

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.

Watches partner launches and adds partner headlines, sitelinks and callouts to your search ads, plus a dedicated partner integration ad group, on the next run.

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.