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 unify data across multiple ad platforms?

Dana (Data Agent) connects Meta, Google, TikTok, and Shopify data into a single source of truth. Reconciles discrepancies automatically so every number is traceable and verified.

How does Cresva prevent double-counting across channels?

Parker (Performance Agent) reconciles platform-reported conversions against the revenue your store recorded, showing contribution per channel. Identifies overlap where Meta and Google both claim the same conversion.

Can Cresva show cross-channel budget optimization?

Yes. Sam (Strategy Agent) tests budget reallocation scenarios across all channels simultaneously, showing projected impact of shifting spend between Meta, Google, and TikTok.

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Multi-channel

Every platform claims the conversion. One truth across every channel.

Unified data layer across Meta, Google, TikTok, Shopify. No double-counting. No reconciliation overhead. One number per conversion.

Book a demo How agents work →

Raw events0

Dana unifies

Raw events, no de-dup

Parker debiases

Live

Unique conversions, de-duplicated

1,882 raw (claimed)1,243 unique (real)

1,243

639

639 conversions are double-counted across platforms. Parker de-duplicates the overlap monthly. Numbers illustrative; exact overlap depends on channel mix.

Where dashboards break for multi-channel

Four platforms, four numbers. Decisions on whichever lies most.

Platform self-attribution overlaps and inflates. Without a unifying layer, every team optimizes against a different version of the truth.

Every platform claims the conversion

Meta claims 847. Google claims 623. Shopify shows 1,243. Overlap is 40 to 60 percent. The real number is invisible.

Budget decisions based on lies

Allocation runs against each platform's self-reported ROAS. They all inflate. The team optimizes toward fiction.

No cross-channel visibility

Meta team watches Meta. Google team watches Google. Nobody sees how channels cannibalize, complement, or carry each other.

Manual data reconciliation

Six to ten hours weekly pulling four exports into a sheet. Data stale before anyone reads it.

The four agents

Unify, debias, forecast, test. One number per conversion.

Dana unifies the data layer. Parker debiases attribution against the unified layer. Felix forecasts cross-channel. Sam tests reallocation moves.

Analytics Engineer

Dana

Unifies Meta, Google, TikTok, Shopify, GA4, Klaviyo into one source of truth. Reconciles overlap automatically. Architecture target: replace six to ten hours a week of manual export-and-merge.

One source of truth, real-time.

Attribution Analyst

Parker

Reconciles platform-claimed conversions against the unified layer and against holdouts. Identifies which platform actually drove each conversion. Architecture target: eliminate the 40-to-60 percent attribution overlap.

True per-channel contribution.

Performance Forecaster

Felix

Forecasts revenue and CAC across the channel mix as a portfolio, not as silos. Captures cross-channel halo and cannibalization. Architecture target: cross-channel forecasts that reflect how channels actually interact.

Portfolio-level forecasting.

Media Planner

Sam

Models reallocation moves across channels simultaneously. Captures elasticity, halo, and cannibalization. Architecture target: scenario tests that complete in 30 seconds with the cross-channel dynamics priced in.

Test reallocation across the portfolio.

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 and current attribution stack.

Attribution overlap

40-60% double-counted→Reconciled

Architecture target: Parker identifies overlap and produces one number per conversion. Exact share depends on channel mix.

Reconciliation time

6-10 hrs/wk→Auto-unified

Architecture target: Dana replaces the manual export-and-merge with a real-time unified layer.

Cross-channel 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.

Setup time

Weeks→5 minutes

Architecture target: OAuth-based connection to Meta, Google, TikTok, Shopify. First insights inside 48 hours.

Common questions

Questions multi-channel teams ask

How does Cresva unify data across platforms?

Dana connects Meta, Google, TikTok, Shopify, GA4, Klaviyo into a single source of truth. Reconciles platform-level discrepancies automatically. Every number is traceable to its source.

How does it prevent double-counting?

Parker uses incrementality modeling against the unified layer to identify which platform actually drove each conversion. Architecture target: replace 40-to-60 percent overlap with one number per conversion.

Can we model cross-channel budget shifts?

Yes. Sam runs reallocation scenarios across all channels simultaneously, with cross-channel halo and cannibalization priced in.

What platforms does Cresva integrate with?

Meta, Google, TikTok, Shopify, GA4, Klaviyo via OAuth. Auto-delivers unified reports to Slack, Sheets, Slides, Notion.

How fast can we see unified data?

Five minutes via OAuth. Unified view inside 24 hours. Cross-channel attribution insights inside 48 hours.

Ready when you are

See the unified view on your channels.

Pilot connects Meta, Google, TikTok, Shopify in five minutes. Unified view inside 24 hours.