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 marketplace sellers?

Cresva reads the ad platforms and the Shopify store it connects to, so it covers your direct channel. There is no marketplace integration, so marketplace sales are not in the data and no marketplace-versus-DTC comparison is computed.

Can Cresva detect marketplace cannibalization?

No. That question asks what a customer would have done otherwise, which needs a holdout test, and it needs marketplace data Cresva does not have. What it does show is your direct channel: platform-reported conversions reconciled against the revenue your store recorded.

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See how

Marketplace + DTC

Marketplace demand 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 demo 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.

Marketplace demand 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.

Analytics Engineer

Dana

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.

Attribution Analyst

Parker

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.

Performance Forecaster

Felix

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.

Media Planner

Sam

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 agents fill out the agents. See all of them →.

Targeted by the 7-day pilot

Concrete deltas. Architecture targets across channels.

Four metrics targeted by the 7-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

Predictions not written down→Every prediction scored against actuals

Each forecast is recorded before the period it covers, then compared with what actually happened. A miss is analyzed for cause and fed back into the model.

Common questions

Questions marketplace teams ask

How does Cresva detect Amazon cannibalization?

It does not. Detecting that would need marketplace data Cresva has no connection to, and a holdout test on top. What Parker does show is the direct channel: platform-reported conversions reconciled against the revenue your store recorded.

Can it factor in all Amazon fees?

Only as a number you enter. Cresva has no marketplace connection, so it does not read referral fees, FBA or storage costs from anywhere. Marketplace cost is an input to the P&L, not something Cresva measures.

Does it integrate with Amazon Seller Central?

No, and it is not scheduled. Cresva connects to Meta, Google Ads, TikTok, Shopify, Klaviyo, GA4, Slack and Notion.

Can I model shifting budget between DTC and Amazon?

You can model shifts across the ad platforms Cresva is connected to. Marketplace revenue is not in the data, so a DTC-versus-marketplace split is not something Sam can project.

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.