Workflow library
Browse B2B AI workflows
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Monitor multi-platform ad performance and alert only on anomalies that need action
Normalize a small set of paid-media metrics across platforms, learn the normal operating range, and send a Slack alert only when a movement is material, persistent, and supported by enough data to deserve attention.
Output
A low-noise paid-media monitoring system with normalized metrics, baseline ranges, data-quality checks, anomaly severity, diagnostic context, and human-reviewed Slack alerts.
Audit Google Ads performance and turn wasted spend into a prioritized optimization queue
Review Google Ads search terms, campaigns, conversion signals, landing pages, and budget allocation as one system, then rank the fixes that deserve action without letting one noisy metric drive the account.
Output
A prioritized Google Ads optimization queue with wasted-spend evidence, conversion-signal checks, search-term actions, budget questions, landing-page issues, owners, and safeguards.
Govern paid-media changes and experiment memory
Capture paid account baselines, approve material changes, detect unlogged mutations, protect experiments from confounders, validate execution, and preserve what the team actually learned.
Output
A governed paid-media change ledger and experiment memory with snapshots, hypotheses, approvals, execution evidence, rollback rules, result classification, and reusable learnings.
Audit Google Ads Performance Max asset-group quality with Claude
Review asset-group structure, thematic cohesion, required formats, search themes, final URLs, audience signals, asset reporting, and conversion setup without overclaiming asset-level causality.
Output
A Performance Max asset-group scorecard, evidence-backed asset backlog, and approved restructuring or test plan.
Turn Google Ads experiment results into the next test plan with Claude
Audit native experiment setup, control and treatment arms, traffic split, conversion actions, runtime, metric movement, and confidence before deciding whether to adopt, reject, extend, or redesign a test.
Output
A defensible Google Ads experiment readout, adoption decision, learning register, and prioritized next-test roadmap.
Audit LinkedIn Ads Lead Gen Form quality with Claude
Compare form opens, submissions, completion, fields, consent language, offer match, ad-set context, professional demographics, and supplied lead dispositions to separate cheap leads from usable demand.
Output
A Lead Gen Form quality scorecard, friction findings, audience and offer diagnosis, and controlled improvement backlog.
Detect LinkedIn Ads creative fatigue and message-angle decay with Claude
Tag ad messages and formats, then compare reach, average frequency, CTR, engagement, conversion, and time trends at ad and ad-set level to identify fatigue without confusing it with audience or budget changes.
Output
A creative-fatigue register, message-angle performance map, refresh queue, and controlled replacement plan.
Plan LinkedIn Ads campaign-group budget reallocations with Claude
Compare campaign and ad-set spend, delivery, reach, frequency, lead or conversion efficiency, audience fit, and guardrails before reallocating budget across LinkedIn programs.
Output
A governed LinkedIn Ads budget-reallocation plan, evidence table, scenario ranges, and approval-ready change queue.
Reallocate Google Ads campaign structure and budget with Claude
Evaluate segmentation, match types, geography, devices, bidding, budget constraints, impression share, conversion quality, and marginal opportunity before moving spend.
Output
An approval-ready budget and structure change plan with scenario assumptions, guardrails, and monitoring checkpoints.
Analyze Google Ads paid-search quality-to-pipeline signals with Claude
Distinguish inexpensive form fills from sales-usable demand using search terms, campaign structure, landing pages, conversion actions, values, and imported downstream outcomes available in Google Ads.
Output
A quality-to-pipeline scorecard, optimization-risk diagnosis, and approved campaign action plan.
Analyze Meta ad creatives with an AI scoring agent
Collect competitor Meta ads, score their visuals and messaging patterns with AI vision, then turn the findings into a prioritized creative testing backlog.
Output
Build a competitor creative scorecard, pattern library, and next-test backlog based on visual and messaging signals from active Meta ads.
Build a paid media diagnostic skill stack for Google and Meta Ads
Turn campaign exports into a repeatable triage system for wasted spend, CPA spikes, creative fatigue, search term leaks, budget pacing, and next actions.
Output
Create a reusable paid media audit system that diagnoses account problems and outputs a prioritized optimization board.
Generate localized ad campaigns for international markets without native speakers
Adapt B2B ad campaigns for new countries with translated copy, cultural nuance, local proof points, and market-specific CTA framing.
Output
Localized campaign variants for international markets, including adapted ad copy, landing page modules, proof points, and review-ready translation notes.
Build a Google Ads quality score optimizer using AI landing page analysis
Analyze the gap between keyword intent, ad promise, and landing page content so you can improve relevance before wasting more search budget.
Output
A keyword-to-ad-to-landing-page audit system that identifies message gaps and generates fixes for Google Ads quality score improvement.