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The library
Practical guides to advertising operations, creative experiments, and decisions grounded in business results.
Find the problem you are solving
AI advertising operations
Practical controls for delegating campaign work to an AI operator.
Meta ads diagnostics
Find the cause of delivery and performance changes before editing campaigns.
Google Ads operations
Work with bidding automation, query controls, and conversion data.
Measurement and attribution
Make campaign decisions from reconciled events, revenue, and experiments.
Creative experiments
Turn creative production into interpretable tests and reusable evidence.
Budget and unit economics
Connect ad efficiency to contribution, capacity, and cash.
Agency operations
Keep client scope, approvals, reporting, and handoffs clear as accounts grow.
Ecommerce advertising
Join catalog, inventory, purchase data, and creative decisions.
Lead generation operations
Optimize for qualified, serviceable opportunities and completed sales.
Advertising platform selection
Evaluate software through documented workflows and your own acceptance tests.
Recently updated guides
Calculate break-even ROAS with contribution marginCalculate an advertising break-even ROAS from retained revenue and variable costs, then separate that threshold from overhead, profit targets, and attribution claims.Updated An AI ad testing framework: 20 ideas, fewer unanswered questionsOrganize AI-generated ad concepts into a useful backlog, select material hypotheses, and match experiment scope to traffic. Includes a free test brief and sample-size planner.Updated Free ad account audit checklist for small-business ownersAudit measurement, search intent, creative, landing pages and lead quality with an evidence-first checklist. Includes free Google Ads and Meta CSV templates and a practical triage method.Updated Budget a creative test from the decision backwardPlan a creative-test budget around the outcome, baseline rate, useful effect size, feasible exposure, conversion maturity, and business spending limits.Updated
Latest articles
Build a PPC budget forecast from clicks to customersUse a worked three-channel forecast to connect media spend, CPC, lead quality and close rates. Download the Excel workbook and test which assumptions change the decision.Plan an A/B test your advertising traffic can actually supportTranslate a conversion-rate hypothesis into participants, recruitment time and a practical test plan. Understand relative MDE, power, conversion maturity and low-volume tradeoffs.Measure AI search visibility, referrals and leads without mixing them upBuild a practical measurement plan for Google AI search, ChatGPT referrals, Bing citations and Grok observations. Separate visibility, visits, resource use and accepted leads.Moving domains without losing track of Search Console and GA4A practical domain-migration checklist using GaaS's Versaunt-to-trygaas move: redirects, DNS verification, sitemap receipts, retained GA4 history and honest post-launch checks.A UTM naming convention your paid-media team can keep usingBuild a campaign naming dictionary, distinguish sources from placements, handle auto-tagging carefully, and keep a usable campaign register through reporting and handovers.Evaluate AdAmigo's AI media buyer across Meta and Google workflowsAssess AdAmigo's documented action, chat, creative, launch, and monitoring workflows through account-specific tests of constraints, approvals, execution, and outcomes.Evaluate AdCreative.ai with a usable-creative production testAssess AdCreative.ai through product accuracy, brand fit, format adaptation, revision effort, creative scoring, and the cost of approved usable assets.Build an AI advertising platform pilot scorecardEvaluate an AI ad platform with predefined tasks, evidence levels, operational acceptance gates, operator effort, and a separate plan for measuring business outcomes.Calculate the total operating cost of an AI advertising platformCompare AI advertising software using subscription scope, implementation, usage, review, correction, maintenance, and exit work, with an illustrative cost worksheet.Choose between an AI media buyer and an advertising rules engineCompare explicit rules, AI-assisted investigation, and delegated execution by task, data needs, maintenance, authority, and verification rather than broad product labels.Evaluate Albert AI for cross-channel advertising operationsReview Albert's documented execution, channel scope, client-supplied strategy and creative, implementation needs, and measurement requirements before an enterprise advertising pilot.Evaluate Bïrch, formerly Revealbot, across rules and AI workflowsReview Bïrch's current rules, AI context, draft-rule workflow, logs, and MCP surfaces through practical tests of condition logic, scope, activation, and maintenance.Evaluate Madgicx AI Marketer through a recommendation-to-launch testAssess Madgicx AI Marketer using its documented Meta workflow, recommendation evidence, launch preparation, account controls, and the work your team still performs.Evaluate Optmyzr through a PPC rule and review workflowAssess Optmyzr's Rule Engine and current AI-assisted workflows using previewed suggestions, account scope, scheduling, reporting versus execution, and maintenance effort.Evaluate Smartly through a creative-to-media production workflowAssess Smartly's creative, media, and intelligence workflow using a real multi-market campaign, template governance, approvals, catalog changes, trafficking, and measurement.Set lead-generation budgets around sales and service capacityModel available sales handling, appointment, and fulfillment capacity before changing lead-generation spend, using explicit conversion assumptions and workload constraints.Report lead-generation performance across a long sales cycleUse lead-created cohorts, stage maturity, open-pipeline visibility, and realized revenue to evaluate advertising when deals close weeks or months after acquisition.Build a sales feedback loop that improves lead-generation decisionsConnect consistent sales dispositions, representative examples, cohort outcomes, and verified conversion imports to specific advertising changes without turning anecdotes into rules.Audit service-area targeting for lead generationReconcile actual service coverage with ad location settings, destinations, forms, and sales dispositions so geographic targeting reflects where the business can fulfill demand.Diagnose lead-generation spam before blocking useful demandSeparate bot submissions, duplicates, wrong-fit inquiries, contact failures, and invalid ad traffic, then apply targeted form and reporting controls with false-positive checks.Test lead-form friction without sacrificing qualified demandDesign a lead-form experiment around necessary questions, mobile usability, validation, sales quality, and mature opportunity outcomes rather than submission volume alone.Track advertising calls through qualified outcomes and salesSeparate call clicks, connected calls, duration signals, qualification, appointments, and sales so phone-based lead campaigns optimize toward meaningful business events.Evaluate lead quality without being misled by low CPLCompare lead campaigns through valid contacts, serviceable opportunities, sales outcomes, and contribution while separating qualification quality from sales follow-up failures.Connect lead response time to advertising budget decisionsMeasure receipt, routing, useful response, contact, and qualification delays so advertising budgets reflect the sales team's ability to handle incoming demand.