MH-1
Operating System

Generates the Kickoff Call deck — team intros, how we work, AI intelligence layer, Month 1 calendar visual.

Competitor benchmarks, KPIs, profitability, product performance, customer segments & high-value definitions. "Aha moment" insights.

30-60-90 by channel (3–5 tasks max per block), final channel list, co-pilots, cost & SOW structure. Built from validated audit.

MH2 takes every existing output and includes in recommendations by client. Full quarter performance, upsell opportunities, new ideas.

Standardized creative brief output for each campaign. Pulls from brand voice, audience persona, and channel plan. Feeds into AIR.

Creative strategy alignment document — testing framework, creative hypothesis, performance learnings by creative type.

Standardized weekly performance email and Slack update — channel-by-channel KPIs, wins, flags, next week priorities.

All-channel performance view — KPI scorecard, project plan status, sprint tracking, co-pilot accountability board per client.

Systematic content production pipeline — brief → create → review → publish. Organic social planning & posting included.

Automate the first layer of creative QA — compares each creative against the approved brief, identifies missing or misrepresented messaging, and outputs structured review notes a CMO or strategist can quickly approve and send back to the creative team.

Uses approved LCM email templates and creative assets to generate new campaign concepts in the same voice, tone, and style — outputs a draft creative brief with message hierarchy and copy direction, plus rough directional mockups for the creative team.

Centralized system for logging client requirement changes — captures the type of change (pricing, offer, messaging, CTA, audience, brand language), propagates updates across relevant briefs and docs, flags impacted assets, and notifies relevant co-pilots or reviewers.

Automated client-facing progress update (2–3x/week) — pulls aligned action items from calls, maps them to active workstreams, generates a clean summary of in-progress, completed, and upcoming work, and highlights any blockers or items awaiting client input.

Evaluates end-to-end AI execution capability across active channels (LCM, DM, paid search, paid social) — maps each workflow stage (strategy, briefing, copy, creative, QA, launch, optimization, reporting) and classifies each as fully automatable, AI-assisted, or manual-only.

Automates weekly data pull into the existing Google Sheet marketing calendar — fiscal week metrics (revenue, traffic, orders, CVR, AOV) from Shopify + GA4, platform growth (email, SMS, IG, TikTok, Facebook) from Klaviyo + socials, and campaign activity populated automatically.

Monitors whether the client is surfacing in AI search results (ChatGPT, Perplexity, Google AI Overviews) for target queries on a recurring basis — tracks visibility trends and surfaces gaps or wins by query and platform.

Builds a systematic blog content pipeline — from topic ideation through drafting, SEO optimization, and publish scheduling. Feeds into organic and AEO visibility strategy.

Pulls Shopify pre-order data + Meta and Google ad spend into a single view — tracks cost-per-pre-order as a KPI once ads run to pre-order products. Single source of truth for pre-order campaign performance.

Monitors brand mentions in media and social at scale — surfaces organic placements (e.g. set designers using products in Hallmark films) and auto-detects QVC/HSN scheduling when the client is listed, without waiting for last-minute notifications.

Pulls review volume and sentiment data from Bazaarvoice automatically — tracks whether review request flow improvements are working and monitors syndication health to/from retail partners over time.

Lightweight automation for auto-categorizing and routing social DMs — separates CS questions from influencer/fan messages without committing to ManyChat or Zendesk. Routes to the right owner and flags high-priority messages.