What marketing roles does Cresva support?

Cresva supports growth teams, marketing executives (CMOs, VPs, directors), agencies, and brand teams with AI-powered intelligence that learns from each team's specific decisions and KPIs.

What types of ecommerce businesses does Cresva work with?

Cresva works with DTC brands, multi-channel retailers, subscription brands, high-SKU catalog businesses, and brands selling on both marketplaces and their own store. The AI learns business-model-specific patterns like seasonal trends, churn curves, SKU profitability, and channel dynamics.

How accurate are Cresva's forecasts?

Cresva's forecasts learn from each brand's specific seasonality, channel mix, and decision history. Architecture target: forecasts sharpen across the pilot's onboarding period and continue to improve with each cycle. Exact accuracy depends on data history and category.

Can agencies use Cresva for multiple clients?

Yes, agencies can manage 10+ clients in one dashboard. Each client gets smarter individually, and the system learns patterns across your entire portfolio for cross-client insights.

How does Cresva help brands balance Amazon and DTC?

AI agents analyze cross-channel profitability to show whether Amazon sales are incremental or cannibalizing DTC. Helps optimize total profit across both channels.

Can Cresva detect marketplace cannibalization?

Yes. Parker identifies when marketplace ads drive customers who would have purchased directly. Shows true incremental contribution of marketplace spend.

Does Cresva integrate with Amazon?

Amazon integration is on the roadmap. Currently Cresva integrates with Meta, Google, TikTok, and Shopify. Contact us for marketplace seller early access.

Now in pilot: Agent Commerce Protocol, the open standard for AI commerce.Pilot live: ACP for AI commerce.Explore ACP

Marketplace + DTC

Amazon cannibalizes DTC traffic. Quantify the leak.

True per-order margin by channel, fees included. Cross-channel cannibalization quantified. Allocation that respects which channel actually keeps the dollar.

Book a pilot How agents work →

Where dashboards break for marketplace + DTC

Four reasons channel math stays guesswork.

Marketplaces and own-stores have different fee structures, different customer profiles, and overlapping demand. Without a unifying margin layer, allocation is a coin flip.

Amazon cannibalizes DTC traffic

Meta drives awareness; the customer searches and buys on Amazon instead. The DTC team pays for the click; Amazon takes the margin.

True channel costs are invisible

Amazon fees, FBA, referral percentages on one side; shipping, returns, payment processing on the other. Comparing channels means comparing apples to oranges.

No unified profitability view

Shopify shows DTC revenue. Seller Central shows Amazon. The P&L is a manual reconciliation that nobody trusts the same way twice.

Allocation is guesswork

Push more to DTC or let the marketplace flywheel work? Without cross-channel incrementality, every allocation decision is a guess that takes a quarter to validate.

The four agents

Reconcile the margin. Quantify the cannibalization.

Dana unifies fees and revenue across both channels. Parker quantifies cross-channel cannibalization. Felix forecasts each channel separately. Sam models reallocation.

Dana

Unified Data

Unifies Shopify, Seller Central, and ad platforms into one margin-after-fees layer. Architecture target: every order resolves to a single margin number with all platform fees included.

True per-order margin, fees included.

Parker

Attribution

Detects and quantifies cross-channel cannibalization. Architecture target: surface the share of DTC ad spend driving Amazon purchases, and vice versa, so allocation respects where the dollar actually lands.

Cannibalization, quantified.

Felix

Forecasting

Forecasts revenue and demand for each channel separately, with the cross-channel halo priced in. Architecture target: per-channel forecasts that don't double-count or under-count cross-channel demand.

Per-channel forecasts with halo.

Sam

Scenario Testing

Models reallocation across DTC and marketplace with margin-adjusted projections. Architecture target: simulate channel-mix shifts with fees, returns, and cannibalization priced in.

Reallocation modeled with full margin.

The other three agents fill out the workforce. See all seven →.

Targeted by the 14-day pilot

Concrete deltas. Architecture targets across channels.

Four metrics targeted by the 14-day pilot structure. Exact numbers depend on channel mix, fee structures, and current attribution.

Cannibalization visibility

Suspected, unmeasured→Quantified

Architecture target: Parker quantifies the share of DTC demand leaking to marketplace and the reverse halo back to DTC.

Per-channel margin

Manual reconciliation→Auto-unified

Architecture target: Dana resolves every order to a single margin number with all fees included.

Reconciliation time

Manual export-and-merge→Auto-delivered

Architecture target: replace manual cross-channel reconciliation with daily auto-generated reports.

Forecast accuracy

Per-channel guess→±8% target

Architecture target across the 9-month pilot structure, with cross-channel halo priced in.

Common questions

Questions marketplace teams ask

How does Cresva detect Amazon cannibalization?

Parker analyzes cross-channel attribution patterns to identify when DTC ad spend drives marketplace purchases instead of Shopify conversions. Architecture target: quantify the margin leak so allocation respects it.

Can it factor in all Amazon fees?

Yes. Dana includes referral fees, FBA, storage, and ad costs alongside DTC expenses like shipping, returns, and payment processing.

Does it integrate with Amazon Seller Central?

Cresva integrates with Shopify and the ad platforms today. Amazon data can be incorporated through Shopify multi-channel fulfillment or scheduled imports. Full Seller Central API integration is on the roadmap.

Can I model shifting budget between DTC and Amazon?

Sam simulates channel-mix shifts with margin-adjusted projections, factoring in fees and cannibalization.

How fast can we start?

Five minutes via OAuth on Shopify and ad platforms. First cross-channel profitability view inside 48 hours.

Ready when you are

See per-channel margin on your data.

Pilot connects Shopify and ad platforms in five minutes. First cross-channel margin view inside 48 hours.