Oshere

lift analysis · Hybrid analysis sprints

Promo Lift Attribution

Measure what your promos actually moved—not just what sold during the window. Oshere builds lift models that respect local holiday spikes, weather-driven categories, and retailer-specific promo mechanics. You receive a readable lift report per campaign with confidence notes where data is thin.

Capabilities

  • Pre/post promo windows with matched control stores
  • Cannibalization view across sibling SKUs
  • Retailer mechanic tagging (multi-buy, display, coupon)
  • Executive summary deck per campaign
  • Scenario library for future promo planning
  • Raw export for your internal BI team

Outcomes

  • ▸Clear read on incremental units per promo
  • ▸Fewer repeated low-lift mechanics
  • ▸Shared language between sales and marketing

FAQ

We typically require at least 30 matched pairs per banner; smaller sets are possible with wider confidence bands noted in the report.

Experience notes

“Promo Lift Attribution showed our endcap mechanic underperformed vs aisle talkers—specific enough to change next quarter’s brief.”

— Eunji, Trade Lead · Lotus Snacks KR