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Expert LinkedIn Ads agent

Expert LinkedIn Ads agent

A LinkedIn Ads agent that runs paid media workflows in Roadway. It handles reporting, budget pacing and optimization on LinkedIn Ads.

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Workflows by category

A roster of 48 workflows at Expert complexity, covering all 8 core jobs. It includes the core LinkedIn Ads workflows at Basic, Standard, Advanced and Expert, with overlapping versions removed.

Account health and maintenance · 5

Finds the LinkedIn spend caps, billing holds and limits that are silently blocking delivery, and clears them.
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Finds rejected or limited LinkedIn ads, fixes what is fixable and appeals what was rejected by mistake.
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Improves the quality of the conversion data LinkedIn optimizes on: deduplication, match quality, primary vs secondary actions and values.
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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.
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Spots worn-out LinkedIn ads, then builds fresh image variants in Figma, Canva or Runway that keep the winning message and change one thing. Video stays a written brief for this channel. Needs an image MCP such as Figma, Canva or Runway connected in Roadway.
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Reporting · 5

A weekly LinkedIn readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.
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Finds LinkedIn ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.
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Joins LinkedIn leads to CRM stages so you can see which campaigns create pipeline, not just form fills.
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Shows which roles inside target accounts are engaging with LinkedIn ads, so you know whether you are reaching the whole buying committee.
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Grades LinkedIn campaigns on how many signups go on to use the product and pay, from your product data, not raw signups.
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Anomaly detection · 4

Catches LinkedIn spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.
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Detects when LinkedIn conversion tracking breaks or double counts, and protects automated bidding from bad data.
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Catches sudden drops in LinkedIn lead quality (spam, bots, out-of-ICP leads) before bidding learns to buy more of them.
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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.
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Pacing and budget caps · 1

Keeps LinkedIn month-to-date spend on the curve that lands exactly at the channel budget, without overspend or a dead last week.
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Optimization · 9

Shifts LinkedIn spend toward the regions that convert efficiently and excludes the ones that never do.
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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.
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Tunes LinkedIn Conversation Ads (the branching message flows sent to the inbox) so more recipients click through to a qualified action.
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Uses LinkedIn demographic reporting to keep spend on the job titles, functions and seniorities that create pipeline.
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An onboarding audit of the whole LinkedIn account: structure, tracking, bidding, targeting and creative, ranked by impact, with the workflow that fixes each issue.
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Picks the right LinkedIn bid strategy and target for each campaign based on its conversion volume, maturity and goal.
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Keeps your LinkedIn Predictive Audiences and company list expansion seeded with your best customers, and retires the ones that drift.
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Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions.
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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.
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Experimentation · 9

Runs a small number of LinkedIn copy tests at a time, one variable per test, and promotes a winner only on cost per goal.
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Tests ungated vs gated (Lead Gen Form after preview pages) LinkedIn document ads to balance lead volume against quality.
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Proposes and runs controlled tests of new LinkedIn targeting, so new audiences are found deliberately rather than by accident.
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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.
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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.
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Takes proven LinkedIn targets and tests the adjacent ones (neighboring job titles, industries and company lists) to find the next layer of scale.
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Builds draft landing page variants from the ad angles that win on LinkedIn, so each winning promise has a page that matches it. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.
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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.
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Uses native split tests to prove whether a different LinkedIn bid strategy or target actually beats the current one.
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Scaling · 6

Finds the creatives on LinkedIn Ads that win on pipeline and cost per goal, then raises their budgets and copies them into fresh audiences.
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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.
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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.
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Takes proven LinkedIn campaigns into new countries or regions in a controlled way.
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Gradually steps LinkedIn bid targets up or down to find the point where extra volume still pays back.
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Finds where extra spend stops paying off for every LinkedIn campaign and sets budgets where the next dollar works hardest.
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Signal-based reactions · 9

When new reviews, ratings, awards or customer wins land, works the strongest proof into LinkedIn ads.
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+3
Finds regions where organic, direct and referral demand is climbing before you advertise there, and opens low-budget tests in the best of them.
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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.
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Watches your changelog and launch calendar, and spins up LinkedIn launch campaigns and copy refreshes for meaningful releases.
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Scans social and news mentions of your brand, picks the best, and promotes them on LinkedIn Ads with audiences and budgets ready to approve.
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Uses product signals to target free or trial users who reached the first product milestone you define but have not paid, with upgrade-focused LinkedIn ads.
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When target accounts show buying intent (site visits, pricing views, third-party intent), shifts LinkedIn spend toward them with stage-appropriate ads.
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When a competitor raises prices, removes a plan or changes packaging, updates LinkedIn conquesting campaigns and copy to capture switchers.
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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.
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