Forecast ROAS, CAC and LTV by channel, then build a budget that protects margin while scaling DTC, marketplaces and retail. Model launches, promos and sampling before you spend.
Why it matters
Benefits
Beauty brands often look profitable on platform ROAS but lose margin after discounting, free samples, shipping, returns and COGS. Model contribution margin per order and per customer so you know what you can actually afford to spend.
Beauty performance swings around product drops, holiday gifting, Prime Day, Black Friday, and retailer events. Build scenarios for promo depth, gift sets, and limited editions to allocate spend without over-discounting.
Compare CAC and payback across Meta, TikTok, Google, creators, affiliates, Amazon Ads and retail trade spend. Prioritize the mix that improves blended CAC and protects brand search demand.
Running ads into low stock drives backorders, cancellations and negative reviews. Use forecasts to pace spend by weeks of cover, lead times, and planned replenishments – especially for hero SKUs and shade families.
Use cases
Challenge
You’re launching a new foundation range and need to decide sampling volume, creator budget and paid spend while expecting higher return rates due to shade mismatch.
Solution
Model conversion rate, return rate, sample-to-purchase lift, and post-purchase repeat. The planner estimates CAC and payback under multiple launch scenarios so you can set a sustainable spend cap and promo strategy.
Challenge
Creator whitelisting and Spark Ads drive volume, but CPM volatility and discount stacking make it hard to know if you’re gaining profitable customers or just promo shoppers.
Solution
Forecast blended CAC and LTV by cohort, include promo depth and free gift costs, and compare creator-led acquisition vs evergreen paid social. Allocate budget to the tactics that improve contribution margin per new customer.
Challenge
A retailer requests a co-op campaign and endcap placement for a 4-week window, but you’re unsure if the lift offsets fees, markdowns and potential cannibalization of DTC.
Solution
Input expected unit lift, wholesale margin, promo funding, and halo effects on branded search. The calculator estimates incremental profit and helps you decide the right trade spend and inventory allocation.
More industries
FAQ
It should model contribution margin and cash impact, not just ad-attributed revenue. For beauty, that means accounting for COGS, packaging, fulfillment, shipping subsidies, returns, discounting, free gift with purchase, sampling costs, marketplace fees, and retailer deductions. It should also support LTV inputs like repeat rate, subscription uptake, replenishment cadence, and cross-sell from routines (cleanser–serum–moisturizer).
Start with gross margin and expected repeat behavior. Skincare often has higher replenishment frequency and stronger LTV if you can retain customers through routines, while color cosmetics may see more shade experimentation and slower replenishment. Use the planner to set CAC targets by category using payback window (for example 30–90 days) and cohort LTV assumptions, then adjust for return rate and promo intensity.
Yes. Marketplaces require factoring in referral fees, FBA/3PL costs, couponing, and ad spend that protects rank. The budget planner can compare TACoS-style assumptions (ad spend as a share of total sales) with margin after fees, and show how aggressive you can be during events like Prime Day while staying profitable.
Use scenario planning tied to inventory. Model best-case demand lift, lead times, and weeks of cover for the hero SKU. Then cap spend based on available sellable units and acceptable backorder risk. The planner helps you shift budget to waitlists, email/SMS capture, or adjacent SKUs to maintain momentum without driving cancellations and negative reviews.
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