Skincare journeys are 30 days long. Attribution that respects the cycle.
AI agents that learn ingredient stories, sample-to-full economics, and the long consideration windows that break standard click attribution.
Standard click attribution sees the sample order. Parker's extended window sees the journey. Exact conversion lag depends on category and customer behavior. Architecture target.
Four reasons beauty math doesn't survive standard tools.
Skincare and color cosmetics behave differently from most DTC. Long consideration, sample funnels, ingredient stories, and shade returns all break standard attribution.
Long consideration windows break attribution
Skincare customers research for 14 to 30 days before buying. Standard 7-day click attribution misses 40 to 60 percent of the journey.
Sample economics are invisible
Spend on a sample customer; subscription conversion lands 60 to 90 days later. By the time the math is clear, the campaign has been scaled or killed wrong.
Ingredient stories don't have consistent ROI
Retinol drives clicks. Peptides drive purchases. Hyaluronic acid generates shares but low conversion. Without ingredient-level attribution, the team optimizes vanity metrics.
Shade-match returns inflate ROAS
Foundation campaigns show strong ROAS until 15 to 25 percent of orders return as shade exchanges. The reported 3.8x is really 2.9x; the feedback loop takes 30 days.
Read the cycle. Reconcile the journey.
Olivia reads ingredient and format performance. Felix forecasts replenishment. Sam tests sample-funnel economics. Maya holds the brand memory.
Olivia
Creative Intelligence
Reads creative performance by ingredient angle, format, and audience. Identifies which ingredient stories drive subscriptions versus first orders. Architecture target: per-ingredient creative intelligence.
Ingredient-level creative intelligence.
Felix
Forecasting
Forecasts replenishment revenue across product categories. Learns the brand's specific reorder cycles. Architecture target: predict reactivation timing inside the architecture window after two replenishment cycles.
Replenishment forecasting per category.
Sam
Scenario Testing
Models sample-to-full conversion economics before the program scales. Architecture target: project sample funnel returns from historical category data, not from blind spend.
Sample funnels modeled before they scale.
Maya
Memory & Context
Holds brand memory of every campaign, season, and ingredient story that earned its place. Architecture target: institutional memory of what worked when the team plans the next launch.
Brand memory that compounds.
The other three agents fill out the workforce. See all seven →.
Concrete deltas. Architecture targets for beauty.
Four metrics targeted by the 14-day pilot structure. Exact numbers depend on category, replenishment cycle, and sample-funnel mix.
Architecture target: Parker uses extended windows that match actual skincare buying behavior, not platform defaults.
Architecture target: Sam projects sample-to-full conversion from historical category data before the program scales.
Architecture target: Parker shows return-adjusted ROAS from day one, accounting for shade and finish exchanges.
Architecture target across the 9-month pilot structure. Felix learns the brand's specific replenishment curves.
Questions beauty brands ask
How does Cresva handle long consideration windows?
Parker uses extended attribution windows that match actual skincare buying behavior. Architecture target: stop under-crediting awareness campaigns that initiated journeys 14 to 30 days before purchase.
Can Cresva track sample-to-full conversion?
Yes. Parker attributes the full journey from sample or discovery set through to full-size repurchase, showing true LTV by acquisition campaign.
How does Olivia help with ingredient-led creative?
Olivia analyzes creative performance by ingredient angle and format. Architecture target: surface which ingredient stories drive subscriptions versus first orders for your specific audience.
Does Cresva account for return rates?
Yes. Parker reports return-adjusted ROAS, not gross. Architecture target: account for the 15-to-25 percent shade-exchange rate in foundation and concealer categories.
How fast can a beauty brand get started?
Five minutes via OAuth: Shopify, Meta, Google, TikTok. First insights inside 48 hours. Forecasts and attribution sharpen across two replenishment cycles.
Beauty view not the right fit?
Ready when you are
See attribution on your replenishment cycles.
Pilot connects Shopify and ad platforms in five minutes. First reconciled view inside 48 hours.
Looking for a deep dive? See Olivia reads creative →, Felix forecasts → or Maya remembers →.