Prompt
How do I set up a promo calendar tool for coordinating retailer promotions, listings, and weekly trade reviews?
Latest observation
To set up a promo calendar tool for coordinating retailer promotions, listings, and weekly trade reviews, design it as a shared operating system for your commercial team rather than just a calendar.
1) Define the core purpose
Your tool should answer three questions:
- What is happening? Promotions, new listings, pricing changes, feature/display activity, and trade review meetings
- When is it happening? Start/end dates, deadlines, review cadence
- Who owns it? Retailer, account manager, category manager, trade marketing, operations, finance, etc.
2) Build the key modules
Include these sections or tabs:
A. Promotion calendar
Track:
- Retailer name
- Brand/product/SKU
- Promo type: discount, multibuy, feature, display, campaign, rollback
- Start and end dates
- Mechanics and funding terms
- Forecast uplift target
- Margin impact
- Approval status
- Owner and next action
B. Listing calendar
Track:
- New item listings
- Range review dates
- Launch dates
- Required assets: barcodes, images, spec sheets, EDI setup, packaging
- Submission deadlines
- Retailer sign-off status
C. Weekly trade review agenda
Track:
- Retailer performance vs plan
- Promo live/ended reviews
- Issues and risks
- Actions by owner with due dates
- Decisions needed
- Next week priorities
D. Master action log
A running list of:
- Tasks
- Owner
- Deadline
- Status
- Notes
- Escalation flag
3) Use a standard data structure
A spreadsheet, Airtable, Smartsheet, Notion, or project management tool can work well. Each row should represent one event or action.
Recommended fields:
- Retailer
- Account/Category
- Event type
- Product/SKU
- Start date
- End date
- Submission deadline
- Review date
- Owner
- Stakeholders
- Status
- Risk level
- Notes
- Links to files
4) Set status rules
Use consistent statuses, for example:
- Draft
- Submitted
- Pending approval
- Approved
- Live
- Completed
- Cancelled
- At risk
Add color coding:
- Green = on track
- Amber = needs attention
- Red = overdue/blocking issue
5) Create workflows
Promotion workflow
- Submit promo proposal
- Review margin/forecast/funding
- Obtain retailer approval
- Confirm mechanics and assets
- Launch promo
- Conduct post-promo review
- Log learnings
Listing workflow
- Identify opportunity
- Prepare submission pack
- Send to retailer
- Confirm approval
- Complete setup
- Track launch readiness
- Review performance after launch
Weekly trade review workflow
- Pull performance data
- Compare vs forecast and prior week
- Review promotions and listings
- Update actions/issues
- Confirm next steps and owners
- Publish notes within 24 hours
6) Add reminders and deadlines
Build automated alerts for:
- Promo submission deadline
- Approval pending
- Asset due dates
- Listing launch deadlines
- Weekly review prep cut-off
- Action overdue reminders
7) Make reporting easy
Create dashboard views for:
- Promotions by retailer and month
- Listings in pipeline
- Upcoming trade reviews
- Overdue actions
- Promo ROI or uplift vs target
- Live promotions at risk
8) Assign governance
Clarify:
- Who updates the calendar
- Who approves changes
- How often it is reviewed
- Where the single source of truth lives
- How last-minute changes are handled
A good cadence is:
- Daily: update live issues and deadlines
- Weekly: trade review meeting and action log update
- Monthly: pipeline review and forward planning
- Quarterly: retailer planning and promotional strategy refresh
9) Choose the right tool
- Simple start: Excel or Google Sheets
- Better collaboration: Airtable or Smartsheet
- Workflow + tasks: Monday.com, Asana, or ClickUp
- Knowledge + docs: Notion with linked databases
If you need multiple retailer views and strong filtering, Airtable/Smartsheet is often the best fit.
10) Start with a minimum viable version
Don’t try to capture everything at once. Start with:
- Retailer
- Event type
- Product
- Dates
- Owner
- Status
- Notes
- Next action
Then add margin, forecast, approval, and performance reporting later.
If you want, I can also give you:
- a ready-made spreadsheet template,
- a Notion/Airtable database structure, or
- a sample weekly trade review dashboard.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.