Before AI changes your marketing settings, approve the exact action
Put every AI-recommended marketing change through a fixed permission boundary, exact before-and-after preview, named approval, execution receipt, and rollback review.
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Before AI changes your marketing settings, approve the exact action
Put every AI-recommended marketing change through a fixed permission boundary, exact before-and-after preview, named approval, execution receipt, and rollback review.
Read the guideREVENUE− Direct costs− MarketingWhat is left?ROAS is only part of the answer.
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43 resourcesCan you trust an AI-written marketing report? Audit every claim before acting
Check an AI-written marketing summary against a frozen source packet, verified calculations, data maturity, and human decision authority before acting on it.
Last month's marketing numbers changed. Should you restate the report?
Define when a marketing report stays closed, receives a note, or needs a versioned restatement after late conversions, refunds, or corrected data arrive.
Changing attribution or CRM rules? Put the decision date on a measurement calendar
Coordinate attribution, tracking, consent, CRM, and reporting changes with three clocks, collision rules, and a calculated date for trustworthy comparison.
Should you pause branded search ads? Protect the queries that cannot safely go dark
Build a safe branded-search pause test with query boundaries, organic and competitor checks, a geographic holdout, and a contribution-based rollback rule.
Did the ads cause the sale, or just claim it? Choose the strongest test your data can support
Separate attributed conversions from additional business, choose an evidence level your volume can support, and calculate a cautious incremental customer cost.
Google Ads can move budget by channel. Set the business ceiling first
Translate Google Ads daily budgets and channel allocations into a business-approved media ceiling, cash-exposure limit, change ledger, and stop rules.
Should a small business test Amazon Ads? Prove product-level profit and stock first
Use six gates to decide whether one product deserves a bounded Amazon Ads test, then set the margin, stock, query, reporting, and change-control limits before spending.
Should a small business test Pinterest Ads? Map the visual planning path first
Use five proofs to decide whether Pinterest deserves a bounded test, then map the planning moment, visual promise, targeting scope, destination, measurement, economics, and stop rules.
Should a small business test Reddit Ads? Prove the community fit before buying traffic
Use six readiness gates to decide whether Reddit deserves a bounded test, then document community evidence, targeting boundaries, brand safety, measurement, economics, and stop rules.
TikTok Spark Ads or standard ads? Choose who owns the identity and post
Compare TikTok Spark and non-Spark ads by identity, post ownership, authorization, editing, destination control, evidence, cost, and exit rights.
Should a service business test YouTube Ads? Prove the creative and measurement first
Use six gates to decide whether YouTube deserves a controlled service-business test, then separate creative learning, platform credit, qualified leads, customers, and full test cost.
Should you add Microsoft Ads after Google Ads? Run the expansion test
Decide whether Microsoft Advertising deserves a controlled second-search test using demand proof, full test cost, import controls, conversion readiness, and a clear stop rule.
What should a human approve before an AI-made ad goes live?
Use a versioned approval record to verify an AI-assisted ad's source rights, offer facts, claims, labels, destination, variants, owner, and withdrawal plan before launch.
When are LinkedIn Ads worth paying for? Run the deal-economics test
Use target-account fit, contribution margin, close rates, sales-cycle exposure, and qualified-lead feedback to decide whether LinkedIn Ads deserve a controlled test.
Before your CRM sends data to an ad platform, approve every field
Define the purpose, fields, eligible records, exclusions, transformations, evidence, access, and stop procedure before connecting CRM data to an advertising platform.
Before installing a heatmap, decide what it is allowed to see
Define a heatmap or session-recording boundary, then test masking, consent states, retention, access, and removal before collecting visitor behavior.
Changing conversion tracking? Audit the release before trusting the result
Use a controlled conversion-tracking change record, test matrix, reporting-delay hold, and keep-or-rollback decision before new data guides spend.
Two marketing reports disagree. Reconcile the setup before choosing a winner
Use a source-alignment worksheet and a difference bridge to explain why two marketing reports disagree before changing budget or tracking.
Did the marketing automation save time? Audit the whole workflow
Measure whether a marketing automation removed human work after reviews, exceptions, maintenance, rework, and output quality are counted.
Before canceling a marketing tool, build this exit packet
Preserve usable marketing evidence, definitions, ownership, dependencies, and readback proof before a subscription or account is canceled.
Is the free marketing tool enough? Use an upgrade trigger, not a feature list
Decide whether to keep a free marketing tool by testing the job it must complete, the evidence it preserves, its ownership and risk controls, and the observed cost of workarounds.
Comparing marketing agencies? Normalize the proposal before choosing
Put every agency proposal on the same business baseline, expose hidden cost and measurement differences, and calculate the customers needed to cover the full monthly marketing cost.
Testing two marketing offers? Keep the rest of the test fixed
Compare two offers with a fixed-condition test card, downstream business outcomes, and a clear rule for deciding whether the result is useful or invalid.
Your website has little traffic. What should you fix first?
Prioritize website fixes when traffic is sparse by separating proven failures, direct observations, weak aggregate signals, and untested opinions.
Before you hire marketing help, build this handoff pack
Prepare a business-owned marketing handoff with clear access, offer facts, metric definitions, active commitments, and a practical exit test.
Is your customer LTV reliable enough to set an ad budget?
Use a confidence ladder and cohort record to decide whether customer lifetime value belongs in your acquisition budget or should remain a planning range.
Why did the lead not buy? Record evidence, not guesses
Build a short loss-reason system that separates customer statements from assumptions, keeps unknown outcomes visible, and points to the next useful fix.
Google Ads or Meta ads? Choose the customer moment first
Choose a first advertising channel by testing whether customers are already searching, need to see the problem or result, and can be measured through to a sale.
Before your AI avatar speaks, approve these five things
Use a five-part approval packet for an AI-avatar marketing video: identity permission, claim evidence, script approval, disclosure choices, and the final render.
Before you advertise, define the offer on one page
Turn a local service into a clear, deliverable offer with one worksheet covering the customer, scope, price terms, capacity, evidence, and next step.
A marketing platform changed. Do you need to act?
Use an official-source checklist to separate a headline from a real deadline, eligible rollout, optional test, or account-specific action.
Who owns the lead after the form arrives?
Build a practical lead handoff with one owner, a visible next action, reassignment rules, and outcomes that marketing can actually use.
Your dashboard says revenue. Did you collect it?
Separate estimated pipeline, signed work, invoices, collected cash, refunds, and contribution before judging whether marketing paid off.
Five Search Console questions worth asking each month
Use five business questions to turn Google Search Console into a short monthly review, with clear limits on what each metric can prove.
Before you buy ads, run this landing-page preflight
A practical pre-spend test for your landing page: verify the promise, mobile experience, contact path, lead delivery, and measurement before sending paid traffic.
Are your leads any good? Build a lead-quality scorecard
Track inquiries through to customers with a simple scorecard. Compare lead quality, avoid misleading close rates, and decide what to fix next.
Your ROAS looks good. Are you actually making money?
Use a worked example to separate advertising revenue from contribution profit, including agency fees and the direct costs of each sale.
What can you afford to pay for a lead?
Work backward from contribution per sale and close rate, then account for agency fees before setting a media cost-per-lead target.
How to use your first $500 marketing budget
A practical planning example for a small service business: clarify the offer, make it easy to inquire, and fund one measurable test.
When you should not hire a marketing agency yet
Five business conditions to resolve before paying for an agency, plus a short readiness checklist you can use without a sales call.
Build UTM links you can still understand next month
Use a small naming convention and our free UTM builder to keep campaign links readable, consistent, and free of personal information.
Want to appear in AI search? Start with useful pages
A practical page review for business owners: answer real questions clearly, support changing claims, and make related information easy to find.
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Before AI changes your marketing settings, approve the exact action
Put every AI-recommended marketing change through a fixed permission boundary, exact before-and-after preview, named approval, execution receipt, and rollback review.
Can you trust an AI-written marketing report? Audit every claim before acting
Check an AI-written marketing summary against a frozen source packet, verified calculations, data maturity, and human decision authority before acting on it.
Last month's marketing numbers changed. Should you restate the report?
Define when a marketing report stays closed, receives a note, or needs a versioned restatement after late conversions, refunds, or corrected data arrive.
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