Content Strategy

# Content Strategy

## Quick start

When an SMB owner asks "what should I post this month?" or "what's my content plan?", this skill:

1. **Pulls sales data** from QuickBooks or PayPal (transaction history, product/service revenue by date) 2. **Identifies patterns** — top-selling products, slow movers, seasonal trends 3. **Layers in context** — seasonality (user-provided or industry benchmarks), past performance 4. **Produces a 30-day brief** — ranked recommendations of what to push, what to hold, what offers to consider 5. **Gets owner approval** before the brief feeds into `social-content-engine` for asset generation

The output is strategic only — no calendar scheduling, no creative assets.

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## Workflow

### Step 1: Pre-flight check (QuickBooks only)

If using QuickBooks, verify the business profile is set up:

1. Call `company-info` to check if `Industry` is populated 2. If missing or "Unknown": - Ask: "I need your business category to pull the right seasonality benchmarks. What industry are you in?" (e.g., retail, services, SaaS) - Call `quickbooks-profile-info-update` with the user's industry - Confirm: "Profile updated. Ready to pull your sales data." 3. If profile is set, proceed to Step 2

**Note:** PayPal and Square do not require profile setup.

### Step 2: Clarify priorities & metrics

When triggered, ask the user:

- **"How do you want me to measure 'top performers'?"** - By total revenue? - By profit margin? - By sales velocity (how fast they're selling)? - Combination of the above?

- **"Do you have seasonality patterns in mind?"** - If yes: "Tell me about them" (capture user's known seasonality) - If no: "I'll use industry benchmarks for your category"

### Step 3: Pull and analyze sales data

Fetch data from the authenticated connector (QuickBooks, PayPal, or Square, user's choice):

- **Date range:** Last 90 days (or full history if <90 days available) - **Extract:** Product/service name, date sold, revenue, quantity

**Connector-specific notes:**

- **QuickBooks:** Fetch invoice line items via `profit_loss_quickbooks_account` (pre-flight sets industry context). Read the rows or `monthlyBreakdown`; the response's `totalExpenses` reports 0 against real rows, so never read the summary fields - **PayPal:** Fetch merchant transactions via `list_transactions`. *Rate-limiting:* If you hit rate limits, pause 30 seconds and retry once. If still blocked, gracefully offer: "PayPal is rate-limited. Would you like to switch to QuickBooks or Square instead, or I can continue with historical data I already pulled?" - **Square:** Requires location ID first. Call `make_api_request(service="locations", method="list")` to discover available locations, then fetch orders for each location.

**No connectors at all?** This still runs, and it is a supported path — not a degraded one. Ask the owner to export their sales history and upload it. Name the export by the label they will actually see in the app:

- **QuickBooks** — Reports, then the "Sales by Product/Service Detail" report, set to the last 90 days, exported to Excel or CSV - **PayPal** — Activity, then Download, set to the last 90 days, "Completed transactions" as CSV - **Square** — Reports, then Item Sales, set to the last 90 days, exported as CSV

Any one of those carries product name, date, revenue, and usually quantity, which is everything Step 3 needs. A pasted list of what sold and roughly when also works — say plainly that the read is rougher, and run it.

**Fallback:** If <3 months of data, use industry seasonality benchmarks for the SMB's category (e.g., retail, services, e-commerce)

Identify: - **Top 3–5 performers** (by user's chosen metric) - **Bottom 3–5 slow movers** (consider holding or repositioning) - **Trending up** (gaining momentum in last 30 days) - **Trending down** (losing momentum)

### Step 4: Layer in seasonality

- **User-provided:** If they shared seasonal patterns, weight recommendations against them - **Industry benchmarks:** For categories without strong user data (e.g., "Q1 is strong for tax services") - **Timing:** Flag products that should ramp up/down in the next 30 days based on seasonal patterns

### Step 5: Build the 30-day brief

Structure: - **Executive summary** (1–2 sentences: "Your best sellers are X and Y. Seasonal shift to Z is starting.") - **Push hard** (Top 2–3 products + recommended content angle, e.g., "Case study on ROI", "How-to video") - **Hold steady** (Middle performers; maintain visibility but no heavy lift) - **Reposition or pause** (Slow movers; consider discounting, bundling, or pausing) - **Seasonal opportunities** (What's coming next month that you should position for now) - **Recommended offers** (Bundle, discount, or free-trial strategy based on data)

Example length: **200–400 words** (brief and actionable, not essay-length).

### Step 6: Owner approval & iteration

Present the brief to the owner. Ask: - "Does this match your gut?" - "Anything to adjust?" - "Read