Promotions
Promotions are marketing events that affect demand. Tether allows you to define promotions so their impact on forecasts can be properly accounted for, and to measure realized lift against what you expected.The Marketing & Promotions section is enabled per organization. If you don’t see it in the sidebar, it is not switched on for your organization.
Why track promotions?
Promotions cause demand spikes that disrupt normal patterns:Promotions dashboard
Navigate to Marketing & Promotions → Promotions (/marketing-promotions/promotions).
Promotions previously lived under Demand Forecast. Old links redirect to the new location automatically.
Promotion status
Status is derived from the promotion’s date range:Creating a promotion
1
Click Create Promotion
From the promotions dashboard, click Create Promotion.
2
Enter promotion details
- Name — e.g., “Summer Sale 2025”
- Promotion Type — the category (see types below). When the type has measured history, the form shows its median realized lift so you can start from data, not a guess.
- Start Date and End Date — when the promotion runs. Consider lead time for inventory.
- Notes — optional context about the promotion.
3
Add SKU × channel assignments
Assign the SKUs and channels the promotion covers, each with an optional expected lift percentage. New rows default their expected lift from the type’s measured median realized lift, and remain fully editable.
4
Save
Save the promotion.
Promotion types
Manage promotion categories in the Settings tab of the promotions dashboard. Types group similar events (e.g., “Flash Sale”, “Holiday Event”) so their measured performance can inform future promotions of the same type.Promotion detail view
Click a promotion to open its detail page:- Promotion Details — name, type, date range, notes, and a status badge.
- SKU × Channel Assignments — every SKU-channel pairing in the promotion with its expected lift percentage. Filter by SKU or channel to find pairings quickly.
- View Impact — for past promotions, opens the impact analysis.
Promotion impact analysis
For completed promotions, the Promotion impact — realized vs expected view compares what happened against what you declared:
Below the summary:
- Per-pairing detail — realized vs expected lift for each SKU-channel assignment.
- Per-type history — measured performance across past promotions of the same type, which grounds the default expected lift for the next promotion of that type.
Promotions and forecasts
Promotions feed the demand forecast for their date range and scope, and the Demand dashboard can visualize them: enable Show promo overlay in the dashboard’s table settings to see promotion windows alongside forecast values. See the Forecast Dashboard.Pre and post effects
Consider effects outside the promotion window:Measuring promotion performance
After a promotion ends:- Open View Impact on the promotion detail page.
- Compare realized lift against expected lift, per pairing.
- Let the per-type history inform the expected lift on the next promotion of that type.
Best practices
Plan ahead
Plan ahead
Enter promotions early:
- Before inventory planning cycles
- Allow time for supply chain response
- At least lead time plus a safety buffer
Be specific
Be specific
Define scope carefully:
- Only include affected SKU-channel pairings
- Use accurate date ranges
- Set expected lift per pairing where products respond differently
Anchor lift estimates in measured history
Anchor lift estimates in measured history
Base expected lift on data:
- Start from the type’s median realized lift shown in the form
- Adjust for what makes this event different
- Be conservative if uncertain
Review past performance
Review past performance
Learn from previous promotions:
- Use the impact view to compare realized vs expected lift
- Build clean per-type history by categorizing promotions consistently
- Adjust future estimates based on findings
Troubleshooting
Promotions not visible in the sidebar
Possible causes:- The Marketing & Promotions section is not enabled for your organization.
- You lack the required permissions.
- Contact your Tether administrator about enabling the section.
- Check your role’s permissions with your administrator.
Unexpected lift numbers in the impact view
Possible causes:- Overlapping promotions on the same products
- Assignments missing pairings that actually ran the promotion
- Low coverage — not enough measurable data in the window
- Check for overlapping promotions on the same SKU-channel pairings.
- Review the promotion’s assignments against what actually ran.
- Check the Coverage metric before drawing conclusions.
Next Steps
Demand drivers
Model marketing spend and events as demand drivers
Forecast Dashboard
View promotion-adjusted forecasts with the promo overlay
Editing Forecasts
Make additional adjustments around promotion windows
Supply Planning
Plan inventory for promotional demand