Hidden losers buried in the portfolio. Find the margin killers fast.
Product-level intelligence across thousands of SKUs. The top 20 percent that print money and the bottom 20 percent that drain budget, surfaced automatically.
Dana scores every SKU on margin after ad cost. The top 20 percent earn the placement; the bottom 20 percent quietly drain budget. Architecture target; exact distribution depends on catalog size and margin spread.
Campaign-level math hides product-level disasters.
Top-line ROAS averages over a thousand SKUs. The losers stay invisible until quarterly margin reviews. By then, weeks of budget have been spent on products that can't earn it back.
Can't optimize 1,000+ SKUs manually
No team analyzes every product against every platform every week. Top-line ROAS hides product-level disasters.
Hidden losers buried in portfolio
Twenty percent of the catalog quietly burns budget at negative margin after ad costs. Campaign-level reports don't surface them.
Ad spend spread too thin
Budget allocates by campaign, not by product profitability. Best products underfunded; losers consume equal or more spend.
Seasonal SKU shifts caught too late
Performance changes with seasons; the dashboard catches the shift weeks after it happens. Summer bestsellers get winter budgets.
Score every SKU. Reallocate to the printers.
Felix forecasts demand by SKU. Olivia reads creative performance per product. Sam models reallocation. Dana keeps the catalog data layer honest.
Felix
Forecasting
Forecasts demand and revenue at the SKU level. Captures seasonality, replenishment, and category dynamics. Architecture target: per-SKU forecasts that drive procurement and ad spend together.
SKU-level forecasts, not catalog-level averages.
Olivia
Creative Intelligence
Reads creative performance per product, not per campaign. Identifies which formats and angles convert for which SKU tier. Architecture target: creative resources allocate to the products that earn the placement.
Per-product creative intelligence.
Sam
Scenario Testing
Models portfolio reallocation: cut spend on bottom-tier SKUs, fund top performers, project margin impact before committing. Architecture target: SKU-level reallocation in seconds with margin and stockout constraints applied.
Portfolio reallocation, modeled.
Dana
Unified Data
Builds the SKU-level data layer across Shopify, Meta, Google, TikTok. Reconciles ad spend, revenue, and margin per product every night. Architecture target: every agent reads from one SKU-level source of truth.
SKU-level data, unified.
The other three agents fill out the workforce. See all seven →.
Concrete deltas. Architecture targets for high-SKU.
Four metrics targeted by the 14-day pilot structure. Exact numbers depend on catalog size, margin spread, and current attribution.
Architecture target: Dana scores every SKU on margin after ad cost; the top 20 percent and bottom 20 percent surface automatically.
Architecture target: Sam models portfolio reallocation in seconds with projected margin impact.
Architecture target: catch SKU-level performance shifts inside 24 hours, before budget compounds into waste.
Architecture target: Parker (via Dana's SKU layer) surfaces SKUs that sell organically, no matter how much you bid against them.
Questions catalog teams ask
How does Cresva handle large product catalogs?
Dana builds a SKU-level data layer across all ad platforms and Shopify, scoring every product on margin after ad cost. Works at thousand-plus SKU scale without manual tagging.
Can it identify which products are worth advertising?
Yes. Architecture target: surface SKUs with genuine ad-driven lift versus products that sell organically regardless of spend. Stop paying to advertise the SKUs that don't need it.
How does it handle seasonal product shifts?
Felix learns the catalog's seasonal patterns over time. Architecture target: catch tier shifts in real time rather than at the monthly review.
Can I model portfolio reallocation?
Sam simulates budget shifts across product tiers with projected margin impact. Architecture target: model reallocation in seconds, not quarters.
How fast can we start?
Five minutes via OAuth. First product-level scores inside 48 hours. Full catalog intelligence compounds across the 14-day pilot structure.
High-SKU view not the right fit?
Ready when you are
See per-SKU profitability on your catalog.
Pilot connects Shopify and ad platforms in five minutes. First SKU scores inside 48 hours.
Looking for a deep dive? See Dana unifies →, Felix forecasts → or Sam tests scenarios →.