> For the complete documentation index, see [llms.txt](https://help.daasity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.daasity.com/core-concepts/metrics/retail-and-wholesale-metrics/promotion/lift-sustainability-score.md).

# Lift Sustainability Score

**Description:** Portion of promo lift retained in the weeks following promotion (measure of long-term promo quality).

**Formula:** *((Incremental Baseline Sales post-promo ÷ Promo Incremental Sales) × 100)*

**SQL Calculation (conceptual):**

```sql
((SUM(post_promo_baseline) - SUM(pre_promo_baseline)) * N_weeks_after)
   / NULLIF(SUM(incremental_units),0) * 100 AS lift_sustainability_pct
```

**Why It Matters:** Determines whether promo gains "stick" or disappear once discount ends.

**Metric Type:** Result / Diagnostic (Strategic)

**Essence:** Lagging

**Frequency:** Per Promotion Event

**Units:** Percentage (%)

**Suggested Breakdowns:** Product, Retailer, Promo Type, Market

**Questions Answered:**

* Did this promo generate lasting impact or just a temporary spike?
* Which promos lead to new baseline volume vs pure pull-forward?

**Potential Causes of Worsening:** High deal dependency, excessive stockpiling, low repeat from promo buyers.

**Tactics to Improve:**

* Run promos that drive trial + retention
* Avoid promo fatigue
* Support with post-promo marketing

**Related Metrics:**

* Post-Promo Baseline Lift
* Incremental Sales

**Related Explores:**

* Trade Promotion ROI Advanced Analysis

**Related Sources:**

* URMS baseline sales history