Discount Optimizer
Promotional discounts are one of the fastest ways to drive volume on TikTok Shop — but cutting price without a margin model turns short-term spikes into long-term losses. This skill calculates mathematically grounded discount levels by working from your unit economics upward, ensuring every promotion moves product while protecting profit.
Use when
- - You are planning a TikTok Shop flash sale or platform-wide campaign and need to set a discount percentage that hits a GMV target without pushing gross margin below a minimum acceptable threshold.
- You are evaluating whether a stacked promotion — platform voucher, affiliate commission, or creator coupon code — is still profitable after layering all cost components together.
- You have aging inventory above a target days-on-hand threshold and want to find the minimum effective discount depth to accelerate sell-through before a reorder cycle.
- You are comparing multiple discount mechanics such as percentage off, bundle pricing, or buy-one-get-one to determine which structure maximizes contribution margin at a given sell-through volume target.
What this skill does
Discount Optimizer takes your unit cost, current list price, minimum acceptable margin percentage, target conversion rate uplift, and inventory velocity data as inputs. It then runs a margin-preserved discount calculation that identifies the maximum allowable discount ceiling, models expected volume uplift using your conversion rate assumptions, and outputs a ranked set of discount scenarios with projected margin impact, break-even sell-through volumes, and a recommended promo price. Each scenario clearly shows the discounted price, resulting margin percentage, estimated units sold at projected conversion uplift, total contribution margin generated, and a break-even comparison against running no promotion. When stacked promotions including platform vouchers, creator commissions, and ad spend cost per order are included as inputs, the skill incorporates all of those cost layers before producing its final recommendation, ensuring nothing is hidden in the math.
Inputs required
- - unitcost (required): Total landed cost per unit including cost of goods, inbound shipping, and standard platform fees. Example: $8.50 per unit.
- listprice (required): Current selling price before any discount is applied. Example: $24.99.
- minmarginpct (required): Minimum acceptable gross margin percentage you are willing to accept during the promotional period. Example: 20%.
- inventoryunits (optional): Current stock on hand in units. Used to model sell-through scenarios and flag whether discount depth is justified by inventory pressure or not.
- conversionratebaseline (optional): Current baseline conversion rate on the listing before discounting. Used to estimate volume uplift at different discount levels. Example: 2.4%.
- stackedcosts (optional): Any additional per-unit cost layers such as affiliate commission rate, platform coupon subsidy cost, or blended ad cost per order. Example: 10% affiliate commission plus $1.20 ad cost per order.
Output format
The skill outputs a structured discount scenario table modeling three to five price points from a conservative five-percent discount up to the margin floor. For each scenario the output includes the discounted price, resulting gross margin percentage, estimated units sold at projected conversion uplift, total contribution margin generated, and a break-even comparison against running no promotion. A recommended scenario is highlighted with a plain-English rationale explaining why that discount level best serves the stated goal, whether that goal is margin protection, inventory clearance, or GMV volume maximization. Scenarios where stacked costs push the effective margin below the minimum acceptable threshold are flagged as unprofitable and excluded from the final recommendation so you never accidentally run a money-losing promo.
Scope
- - Designed for: TikTok Shop sellers, ecommerce brand operators, and performance marketing managers who run regular promotional events.
- Platform: TikTok Shop, Shopify, Lazada, Shopee, and any ecommerce channel where promotional pricing is configurable.
- Language: English
Limitations
- - Does not have access to real-time platform conversion data — conversion rate uplift assumptions must be provided or estimated by the operator based on historical data.
- Does not automatically account for halo effects or post-promotion brand lift that may generate additional revenue beyond the promotional window.
- Margin calculations assume fixed unit costs at current volumes; economies of scale or variable fulfillment costs at significantly higher volumes are not modeled unless explicitly provided as inputs.
折扣优化器
促销折扣是在TikTok Shop上快速提升销量的方式之一——但若没有利润模型支撑的降价,会将短期高峰转化为长期亏损。本技能从您的单位经济模型出发,通过数学计算确定折扣力度,确保每场促销既能推动商品销售,又能保护利润。
适用场景
- - 您正在规划TikTok Shop闪购或平台级活动,需要设定一个既能达成GMV目标、又不使毛利率低于最低可接受阈值的折扣百分比。
- 您需要评估叠加促销——平台优惠券、联盟佣金或创作者优惠码——在叠加所有成本要素后是否仍能盈利。
- 您有库存周转天数超过目标阈值的滞销库存,希望在补货周期前找到最低有效折扣力度以加速清货。
- 您正在比较多种折扣机制,如百分比折扣、捆绑定价或买一送一,以确定哪种结构能在给定销量目标下最大化贡献毛利。
本技能的功能
折扣优化器以单位成本、当前标价、最低可接受毛利率、目标转化率提升幅度和库存周转数据为输入。随后运行保利折扣计算,确定最大可接受折扣上限,利用您的转化率假设模拟预期销量提升,并输出一组按优先级排序的折扣方案,包含预期毛利影响、盈亏平衡销量和推荐促销价格。每个方案清晰显示折扣后价格、对应毛利率、在预期转化提升下的预估销量、产生的总贡献毛利,以及与不进行促销的盈亏平衡对比。当叠加促销(包括平台优惠券、创作者佣金和每单广告成本)作为输入时,本技能会在生成最终推荐前纳入所有成本层级,确保数学计算中没有任何隐藏项。
所需输入
- - unitcost(必填):每单位总到岸成本,包括商品成本、入仓运费和标准平台费用。示例:每单位8.50美元。
- listprice(必填):应用任何折扣前的当前售价。示例:24.99美元。
- minmarginpct(必填):促销期间您愿意接受的最低毛利率百分比。示例:20%。
- inventoryunits(可选):当前库存数量(单位)。用于模拟清货方案,并判断折扣力度是否因库存压力而合理。
- conversionratebaseline(可选):折扣前商品当前的基准转化率。用于估算不同折扣力度下的销量提升。示例:2.4%。
- stackedcosts(可选):任何额外的每单位成本层级,如联盟佣金率、平台优惠券补贴成本或每单混合广告成本。示例:10%联盟佣金加每单1.20美元广告成本。
输出格式
本技能输出一个结构化的折扣方案表格,模拟从保守的5%折扣到利润底线之间的三到五个价格点。每个方案包括折扣后价格、对应毛利率、在预期转化提升下的预估销量、产生的总贡献毛利,以及与不进行促销的盈亏平衡对比。推荐方案会以通俗易懂的文字说明该折扣力度为何最符合既定目标——无论是保护利润、清库存还是最大化GMV。叠加成本导致有效毛利率低于最低可接受阈值的方案会被标记为无利可图并从最终推荐中排除,确保您永远不会意外执行亏损促销。
适用范围
- - 目标用户:TikTok Shop卖家、电商品牌运营者以及定期举办促销活动的效果营销经理。
- 平台:TikTok Shop、Shopify、Lazada、Shopee以及任何可配置促销定价的电商渠道。
- 语言:英语
局限性
- - 无法获取实时平台转化数据——转化率提升假设必须由运营者根据历史数据提供或估算。
- 不会自动考虑光环效应或促销后的品牌提升,这些可能在促销窗口之外产生额外收入。
- 利润计算假设当前销量下的固定单位成本;除非明确作为输入提供,否则不会模拟规模经济或显著更高销量下的可变履约成本。