Weekly Exec Commerce Brief

Weekly Executive Commerce Brief

Overview

Generate a structured, board-ready weekly executive brief that synthesizes commerce performance data into strategic narratives. The brief covers revenue, margin, channel mix, inventory health, promotional effectiveness, and competitive positioning — formatted for C-suite consumption with minimal preparation time.

When to Use

• Weekly business review preparation for VP/SVP/C-suite audiences
• Pre-meeting executive summary generation
• Cross-functional alignment briefs (Sales, Marketing, Finance, Supply Chain)
• Rapid commerce performance snapshots for investor or board pre-reads
• When stakeholders request a "state of the business" overview

Required Inputs

Methodology

Step 1: Data Intake and Normalization

Ingest all provided data and normalize to a common reporting period (ISO week). Reconcile any channel-level discrepancies by applying the following hierarchy: ERP data > retailer portal data > estimated data. Flag any data gaps explicitly.

Step 2: KPI Computation

Calculate and present the following KPIs using a Balanced Scorecard framework:

Financial Perspective:

• Net Revenue (WoW, YoY, vs Plan)
• Gross Margin % and Contribution Margin $
• Trade Spend as % of Gross Revenue
• ROAS by channel (if media spend provided)

Customer Perspective:

• Customer Acquisition Cost (CAC) by channel
• Repeat Purchase Rate (DTC)
• Net Promoter Score trend (if available)

Internal Process Perspective:

• Order Fill Rate and OTIF %
• Inventory Weeks of Supply by top 20 SKUs
• Stockout incidents and estimated lost revenue

Growth & Learning Perspective:

• New SKU velocity (first 4 weeks indexed to benchmark)
• Channel expansion milestones
• Test-and-learn program status

Step 3: Trend Analysis

Apply a 4-week rolling average to smooth volatility. Identify:

• Inflection points (>5% WoW change in any tier-1 KPI)
• Sustained trends (3+ consecutive weeks directional movement)
• Seasonal pattern deviations vs prior year
• Correlation flags (e.g., price increase followed by unit decline)

Step 4: Executive Narrative Construction

Write each section using the SCR framework (Situation-Complication-Resolution):

1. Situation: State the metric and its current value
2. Complication: Identify what changed, why it matters, and the risk/opportunity
3. Resolution: Recommend an action or highlight a decision needed

Step 5: Risk and Opportunity Callouts

Enumerate top 3 risks and top 3 opportunities with:

• Quantified impact range (low/mid/high scenarios)
• Owner/accountable function
• Recommended next step and timeline

Step 6: Forward-Looking Indicators

Include a "Next Week Outlook" section with:

• Planned promotional activity and expected lift
• Known supply chain disruptions
• Competitor launch intelligence
• Macro/seasonal factors (weather, holidays, events)

Output Specification

# Weekly Commerce Brief — Week [XX], [YYYY]

## Executive Summary
[3-5 sentence overview: top-line performance, biggest win, biggest risk, key decision needed]

## Scorecard

| KPI | Actual | Plan | Variance | WoW Change | YoY Change | Status |
|-----|--------|------|----------|------------|------------|--------|
| Net Revenue | $X.XM | $X.XM | +X.X% | +X.X% | +X.X% | G/Y/R |
| Gross Margin % | XX.X% | XX.X% | ... | ... | ... | ... |

## Channel Performance
[Breakdown by DTC, Amazon, Retail, Wholesale with narrative]

## Promotional Effectiveness
[Active promo ROI, lift vs baseline, cannibalization notes]

## Inventory & Supply Chain Health
[Fill rate, stockouts, weeks of supply heatmap]

## Risks & Opportunities
### Top Risks
1. [Risk with quantified impact and owner]

### Top Opportunities
1. [Opportunity with quantified upside and next step]

## Decisions Needed
- [ ] [Decision with deadline and stakeholder]

## Next Week Outlook
[Forward-looking indicators and planned actions]

Analysis Framework

Apply the P&L Waterfall to decompose revenue changes:

1. Volume effect (units x prior period ASP)
2. Price/mix effect (ASP change x current units)
3. Channel mix effect (shift between high/low-margin channels)
4. Promotional drag (discount depth x promoted volume)
5. New product contribution (incremental revenue from launches under 12 weeks old)

Example

Input: "Revenue was $4.2M this week vs $4.0M plan. Amazon grew 12% WoW but DTC declined 3%. Two SKUs stocked out at Walmart. Trade spend was 18% of gross."

Output narrative (Executive Summary excerpt):

"Total commerce revenue of $4.2M exceeded plan by 5%, driven by Amazon momentum (+12% WoW) following Subscribe & Save enrollment gains. DTC softness (-3% WoW) reflects the conclusion of the January acquisition campaign; retargeting is live this week. Walmart stockouts on SKUs #1042 and #1087 represent ~$85K in estimated lost revenue; replenishment POs were expedited with a 2/14 delivery ETA. Trade spend at 18% of gross is 200bps above target — recommend pausing the BOGO on SKU #1042 post-restock to recapture margin."

Guidelines

• Always lead with the "so what" — executives scan, not read
• Use traffic-light indicators (Green/Yellow/Red) with defined thresholds: Green = on/above plan; Yellow = 1-5% below plan; Red = >5% below plan
• Round currency to nearest $K or $M; percentages to one decimal
• Never present data without context (variance to plan, WoW, YoY)
• Attribute root causes — avoid "revenue was down" without explanation
• Keep the full brief under 2 pages when rendered
• Flag data quality issues transparently rather than hiding gaps

Validation Checklist

• All tier-1 KPIs (Revenue, Margin, Fill Rate, CAC) are present with plan/prior comparisons
• Narrative uses SCR framework — no orphaned data points
• At least 3 risks and 3 opportunities with quantified impact
• Decisions section includes owners and deadlines
• Forward-looking section references next week's promotional calendar
• Data gaps are explicitly flagged with impact assessment
• Brief fits within 2-page executive format
• Traffic-light thresholds are consistently applied