Mad Max performance marketing agent for SaaS companies

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

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

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.

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

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

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.

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

Audits whether every channel has server-side conversion coverage (CAPI, enhanced conversions, offline imports) with good match quality and deduplication.

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

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

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.

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.

Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.

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

Connects launch campaigns to feature adoption, activation and pipeline in product and CRM data, so launch spend is judged on business impact.

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

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

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.

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.

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.

A daily digest from the performance marketing agent: every spend, tracking, cost and delivery anomaly across channels, ranked by dollar impact.

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 platform automation (broad match, Advantage+, optimized targeting, Audience Expansion) quietly shifts spend toward retargeting, existing customers or low-quality inventory.

Maps each common anomaly type to a pre-approved fix that runs automatically, and escalates only what the playbooks cannot handle.

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

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.

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.

Splits the monthly cap into product-line or business-unit sub-caps and enforces each one across channels.

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.

Forecasts month-end and next-month results at several budget levels, so cap decisions are made with expected outcomes rather than gut feel.

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

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.

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

Finds where paid visitors drop out of the signup flow, by channel, and fixes the friction that only paid traffic hits.

Sends a value for each signup to the ad platforms, based on your own product and revenue data, so bidding favors people who go on to become customers. If you have a value model you trust it uses that; otherwise it uses a simple rule from your history of what similar signups have gone on to pay.

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.

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.

After every concluded test on any channel, writes a short readout and logs the learning, so future workflows do not repeat it.

Drafts 2-3 signup landing page variants for paid traffic, reads the test results once enough data is in, and tells you when and how far to shift traffic to the winner. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

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

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.

Scales the campaigns that bring in signups who go on to use the product, not just people who sign up.

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

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

For major launches, runs a coordinated 7-14 day push to warm audiences across channels with launch creative, then winds it down.

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.

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

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.

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

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.

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.

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

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.

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.

Checks that every channel optimizes to the same goal definition, so cost per goal comparisons across channels are fair.

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.

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

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.

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

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.

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.

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

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

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 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.

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.

The performance marketing agent's weekly budget rebalance across every connected channel, based on where the next dollar works hardest and pipeline quality.

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.

Re-fits channel and campaign response curves weekly and moves budget across channels toward the best next dollar in small steps, inside every guardrail.

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