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.

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Food & beverage

First-order ROAS hides subscription value. Acquire the subscribers who reorder.

F&B economics live in month four through twelve. AI agents that learn replenishment cycles, seasonal flavor spikes, and bundle versus single-SKU economics.

Book a pilot How agents work →

Where dashboards break for food & beverage

Four reasons F&B math needs the subscription view.

F&B brands live and die on repeat purchase. The dashboard sees first orders. The economics happen in months three through twelve.

First-order ROAS hides subscription economics

Trial box shows 0.6x ROAS; 38 percent convert to monthly subscribers. Platform attribution sees the first transaction; the actual unit economics happen later.

Churn eats growth before it shows

Acquire 500 in January; by March, 180 churn silently. Month-over-month growth looks flat while acquisition quality dipped six weeks ago.

Seasonal flavor spikes distort baseline

Pumpkin spice drives a 3x Q4 spike. The forecast treats it as growth and predicts a January crash that's actually just normalization.

Bundle and variety pack economics are opaque

Single SKUs, bundles, variety packs all attribute the same way despite different margins, repeat rates, and customer profiles.

The four agents

Predict the reorder. Catch the churn.

Felix forecasts subscription revenue. Maya holds the cohort memory. Olivia reads creative across categories. Dex catches acquisition-quality drops in real time.

Felix

Forecasting

Models per-channel, per-cohort decay curves and predicts monthly recurring revenue across replenishment cycles. Architecture target: separate seasonal flavor spikes from underlying growth so budget planning isn't reactive.

Subscription forecasting with seasonality priced in.

Maya

Memory & Context

Holds the cohort and replenishment memory. Recalls which campaign signatures drove the highest-retention subscribers last season. Architecture target: institutional memory across F&B's long unit-economics window.

Subscription memory that compounds.

Olivia

Creative Intelligence

Reads creative performance across single-SKU, bundle, and variety-pack categories. Architecture target: surface which formats and angles drive long-retention subscribers versus one-time trial buyers.

Per-category creative intelligence.

Dex

Delivery & Alerts

Catches acquisition-quality drops in real time, before they show up in churn metrics. Architecture target: alert in hours, not when the cohort report runs.

Acquisition-quality alerts in real time.

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

Targeted by the 14-day pilot

Concrete deltas. Architecture targets for F&B.

Four metrics targeted by the 14-day pilot structure. Exact numbers depend on category, replenishment cycle, and subscription mix.

Acquisition value visibility

First-order ROAS→LTV-weighted

Architecture target: Parker (via Dana's layer) shows LTV-weighted ROAS from day one. Trial campaigns earn the credit they deserve.

Seasonal forecast accuracy

Growth-pattern confusion→Seasonality priced in

Architecture target across the 9-month pilot structure. Felix separates seasonal demand from underlying growth.

Churn signal detection

Monthly review→Same-day alert

Architecture target: Dex flags acquisition-quality dips in new cohorts before they compound into churn.

Bundle vs single-SKU economics

Same attribution→Margin-aware

Architecture target: Parker values each entry point by downstream LTV and margin contribution.

Common questions

Questions F&B teams ask

How does Cresva handle subscription and replenishment brands?

Felix learns the brand's specific replenishment cycles by category. Parker attributes acquisition spend against true subscription LTV, not first-order revenue. Architecture target: surface which campaigns acquire high-retention subscribers.

Can Cresva track trial-to-subscription conversion?

Yes. Parker tracks the journey from trial through subscription activation and ongoing retention. Architecture target: true cost-per-subscriber and projected LTV by acquisition source.

How does Cresva handle seasonal F&B demand?

Felix separates seasonal demand from underlying growth. Architecture target: budget recommendations adjust for predictable seasonal patterns rather than reacting to them.

Does Cresva differentiate bundle vs single-SKU economics?

Yes. Architecture target: each format (single, bundle, variety pack, subscription) gets valued by downstream LTV and margin, not just first-order revenue.

How fast can an F&B brand get started?

Five minutes via OAuth: Shopify, Meta, Google, TikTok. First insights inside 48 hours. Forecasts and attribution sharpen across two replenishment cycles.

Ready when you are

See LTV by acquisition source on your data.

Pilot connects Shopify and ad platforms in five minutes. First cohort view inside 48 hours.