How to Build a Weekly B2B Paid Media Brief with AI

A useful weekly paid media brief is not a collage of dashboards. It answers four questions: what changed, what likely explains it, what evidence is still missing, and what should someone do next? Give it one clearly defined outcome, two comparable weeks, platform-level delivery evidence, GA4 on-site evidence, and a short action queue. Keep each platform’s conversions in its own labeled column. If you have CRM-qualified leads or pipeline, add them as a separately sourced business-outcome layer.

For most teams, one page of conclusions plus a small evidence appendix beats a 20-slide report. AI can collect, reconcile, and draft the brief; the marketer owns the business context, causal claims, and any budget or campaign change.

Choose a single primary business outcome – such as booked demos, qualified leads, or opportunities – and write down which system defines it. If that outcome is only in a CRM, do not quietly substitute Google Ads “Conversions,” LinkedIn “website conversions,” or GA4 key events. Those are useful platform signals, not automatically the same business event.

Set the reporting window to the last completed Monday–Sunday week and the preceding Monday–Sunday week, in the relevant account and property time zones. If you prepare the brief early on Monday, mark GA4 and late-attributed conversions provisional and revisit them later. Google says GA4 processing can take 24–48 hours, and key-event attribution credit can continue to change. Note launches, pauses, promotions, conversion-setting changes, and landing-page releases before assigning meaning to a week-over-week movement.

Record both exact date ranges, each account currency, each account and property ID, the GA4 property time zone, and the chosen conversion or lead definition. Compare the same entity scope and metrics across weeks. If Google Ads and LinkedIn Ads use different currencies, show them separately unless you have an explicit exchange-rate source and date; even then, label the conversion.

Start with Google Ads campaign performance: spend, impressions, clicks, and the selected conversion column. Drill into search terms, ad groups, or lost Search impression share only when the top-level movement warrants it. For LinkedIn, start at account or campaign-group level, then inspect the responsible ad sets and creatives. Ask for raw counts and cost in the account’s local currency; calculate CTR, cost per landing-page click, and cost per stated outcome from those counts. A change in a low-volume conversion rate may be noise, not a verdict.

Use GA4 session-scoped source/medium and campaign dimensions to examine sessions, engaged sessions, and relevant key events for paid traffic. Keep the channel tagging rule visible, especially for LinkedIn URLs with UTMs. Google’s User acquisition and Traffic acquisition reports have different scopes; a weekly visit-quality check belongs in session scope. A LinkedIn landing-page click is not a GA4 session, and a GA4 key event is not automatically a LinkedIn or Google Ads conversion.

Find the campaigns that account for most of the change in spend and outcomes. Report absolute changes beside rates and denominators. Distinguish a budget or status change from an efficiency change. Ask whether search-query mix, auction visibility, ad delivery, creative distribution, landing-page behavior, or tracking changed. If the evidence cannot separate those explanations, put the question in Investigate instead of writing a confident causal story.

Where the team has authorized CRM data, compare leads that met its qualification rule, meetings held, and pipeline stage – not just form fills. State the lag and cohort basis. A sales-qualified lead recorded this week may originate from an earlier click; do not divide this week’s spend by this week’s CRM wins and label the result an attributed acquisition cost without a sound matching method. If CRM evidence is unavailable, say so.

Use three queues. Act for a specific, low-regret recommendation supported by sufficient evidence and the right owner’s approval. Investigate for a plausible hypothesis that needs a landing-page test, tracking check, creative review, or sales feedback. Monitor for small samples, attribution lag, and nonmaterial changes. Every item should name its owner and the next check; “optimize LinkedIn” is not an action.

Confirm the report rows and exports cover the intended scope, keep source links or downloads with the appendix, and identify gaps: a missing campaign, expired CSV, unexpected zero, inconsistent UTM, newly launched ad, or immature conversion week. Lead with a five-sentence readout, then the action queue. Put detailed platform tables after the decisions so a stakeholder can inspect the evidence without mistaking it for the conclusion.

With the relevant accounts authorized in the same MCP-capable AI client, HireOtto can retrieve Google Ads campaign and diagnostic reports (with CSV output), LinkedIn Ads performance at account, campaign-group, ad-set, and creative levels (with raw metrics and optional CSV), and GA4 property metadata, compatible session-scoped reports, and CSV exports. You can ask the AI client to compose those read-only outputs into this brief; this is a composed workflow, not a dedicated one-call or scheduled cross-channel report. The marketer supplies the client’s outcome definition, any CRM evidence, and the final interpretation. GA4 is beta and read-only. Review platform attribution, tagging, row completeness, and recent-data lag before sharing; any supported ad-account change is a separate request requiring explicit human review and approval.

Start with the verified Google Ads reporting guide, LinkedIn Ads reporting guide, and GA4 custom-reporting guide. To connect the relevant servers, use Connect a server.

Only when the numerator and denominator share a valid business definition, currency basis, time or cohort basis, and attribution method. Adding Google Ads conversions to LinkedIn conversions and dividing combined spend by that total usually double-counts or mixes unlike events. Use each platform’s CPA as a labeled diagnostic, then use a verified CRM-based measure if your data supports it.

Investigate redirects, tagging, consent, page loading, session definition, and the reporting window. The figures need not match one-to-one. Check both raw series and a sample of destination URLs before claiming broken tracking or poor traffic.

A repeatable prompt and checklist help. Treat the earliest brief as provisional until the relevant data has processed, and retain a human review gate. Do not assume that a connected reporting tool is also a scheduling or autonomous budget-change feature.