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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17 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.
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.
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 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.
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.
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.
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.