Tabellab
E-Commerce & Online Selling Intermediate

Planning Sale Events for Online Shops: Discount Depth, Break-Even Uplift, Stock Build-Up, Pull-Forward Effects, Shipping Peaks & Post-Event Review

Plan your big sale days so they actually make money. You will choose discount depths with the break-even uplift, forecast event demand from a baseline, build up stock in time, see how much demand was only pulled forward, plan packing and shipping peaks and review the event honestly afterwards, with every cell checked as you go.

8 lessons 8 labs 2.1 h Certificate

One-time payment ยท lifetime access ยท lessons, labs, exam and certificate included ยท no subscription.

About this course

This course plans a big autumn sale day for a fictional online shop from the first forecast to the honest review. You build a weekday baseline with WEEKDAY and AVERAGEIFS, calculate the break-even uplift each discount needs, compare a 10, 20 and 30 % discount ladder with a free-shipping threshold, and forecast sale-day units with uplift factors from XLOOKUP. You order stock in full case packs with CEILING and count back lead times with WORKDAY, measure pull-forward and post-sale dips with SUMIFS, staff packing slots and carrier pickups with ROUNDUP and review incremental profit after returns with a chart.

Lessons

  1. The Baseline: Normal Daily Orders, the Weekday Pattern and the Sale-Day BaselineLab15 min Pro
  2. Break-Even Uplift: How Much More You Must Sell to Pay for the DiscountLab15 min Pro
  3. Discount Ladder: 10 / 20 / 30 % Scenarios, Margin per Order and the Free-Shipping ThresholdLab16 min Pro
  4. Event Forecast: Uplift Factors by Category, Units and Revenue per DayLab16 min Pro
  5. Stock Build-Up: Units Needed, Case Packs, Lead Times and Latest Order DatesLab16 min Pro
  6. Pull-Forward and the Post-Sale Dip: Net Incremental UnitsLab15 min Pro
  7. Operations Peak: Orders per Hour, Packing Staff and Parcel Volumes vs Carrier CapacityLab15 min Pro
  8. Post-Event Review: Incremental Profit, Returns Allowance, New vs Existing Customers and a ChartLab18 min Pro