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For DTC Brands

Scale DTC Without Killing Margins

AI that learns your unit economics. True incrementality. Forecasts that sharpen monthly.

See it with your Shopify data Meet the agents
Shopify + Meta + Google + TikTok91%+ forecast accuracyConnect in 5 minutes

DTC Growth Has a Profitability Problem

Revenue is up, margins are down. You're scaling on broken data from platforms that inflate their own numbers.

Scaling kills your margins

You 2x spend and ROAS drops 40%. No marginal ROAS curves. No idea where diminishing returns begin.

30-50%margin compression when scaling blind

Platform ROAS doesn't match Shopify

Meta says $400K. Google says $250K. Shopify shows $500K total revenue. Someone's double-counting.

20-60%typical platform ROAS inflation

Seasonal patterns caught too late

By the time you notice Q4 trends, competitors already ramped. Last year's spreadsheets don't capture this year's dynamics.

2-4 weeksavg trend detection lag

CAC rising, LTV unknown

Acquisition costs up 20-30% YoY. Without LTV projections per channel, you can't tell which customers are actually profitable.

20-30%YoY CAC increase, DTC average
Your DTC Intelligence Stack

Four Agents That Learn Your DTC Brand

AI that learns your unit economics, seasonality, and audience patterns.

Parker

True DTC Attribution

Shows real incremental ROAS for every DTC channel. Cuts through platform inflation to show what actually drives Shopify orders.

True incremental ROAS per channel and campaign
De-biased attribution across Meta, Google, TikTok
Platform inflation detection reconciled with Shopify
New vs. returning customer attribution
Compound learning: DTC brands typically discover 15-35% of their attributed revenue was non-incremental. That's budget you can reallocate to profitable channels.

Felix

Revenue Forecasting

Revenue, AOV, and ROAS forecasting that learns your DTC seasonality. Shopify-native data integration.

Revenue forecasting by channel with Shopify validation
Accuracy: 78% to 91% to 95%+ over 6 months
Seasonal and promotional pattern learning
Marginal ROAS curves for scaling decisions
Compound learning: Felix predicts your Q4 ramp window 2-3 weeks before it's obvious in the data. Start scaling at the right moment.

Sam

Budget Scenario Planning

Test spend increases, channel shifts, and new platform entry with your Shopify and ad data. Risk-free.

Simulate any budget reallocation scenario
Model new channel entry (TikTok, YouTube, etc.)
Scaling scenarios with diminishing return curves
Side-by-side comparison with confidence intervals
Compound learning: Before committing $30K to TikTok, Sam models likely CAC, ROAS, and incremental revenue from your cross-platform data.

Dex

Delivery & DTC Alerts

Auto-reports to Slack or Sheets. Catches performance anomalies, inventory issues, and CAC spikes in real-time.

Automated DTC performance reports
Real-time CPM, CTR, and CAC anomaly alerts
Learns your preferred metrics and format
Delivers where you need it, when you need it
Compound learning: A Friday CPM spike on your hero product campaign? Dex alerts Tuesday morning, not the weekly review.

DTC brands also benefit from Maya (memory), Dana (unified data), and Olivia (creative intelligence) - meet all 7 agents

Before & After Cresva

What changes when AI learns your DTC brand.

Attribution
Before

Platform ROAS inflated 20-60%. Can't reconcile with Shopify.

After

Parker: true incremental ROAS, reconciled with Shopify revenue.

Forecasting
Before

Spreadsheet projections +-25-40% off. Seasonal blindspots.

After

Felix: +-8% accuracy after 90 days. Learns your seasonality.

Scaling
Before

2x spend, ROAS drops 40%. No marginal return curves.

After

Sam: model any scaling scenario risk-free before committing.

Performance Drops
Before

Caught at Friday review. $5-10K wasted by then.

After

Dex: real-time alerts. Catch issues in hours, not days.

New Channels
Before

$15-30K to test TikTok. 3-6 months for signal.

After

Sam: model TikTok outcomes from cross-platform data instantly.

DTC Metrics That Move

15-35%
Non-incremental spend identified
Budget reallocated to real growth
91%+
Forecast accuracy in 90 days
Up from 78% baseline
+-8%
Revenue forecast variance
vs. +-25-40% with spreadsheets
5 min
Setup time
Shopify + ad platforms connected

Frequently Asked Questions

AI agents learn your unit economics and attribution patterns. Test budget scenarios risk-free, get true incremental ROAS, and forecast revenue with 91%+ accuracy.

Yes, connects in minutes via OAuth. Pulls order data, revenue, AOV, and customer data. Combined with Meta, Google, TikTok for unified DTC intelligence.

Cresva's AI compounds. It learns your brand's specific patterns and gets more accurate weekly. Static dashboards show you the same output on day 1 and day 365. Cresva improves from 78% to 91% to 95%+.

Yes. Parker separates incremental from non-incremental conversions. DTC brands typically discover 15-35% of attributed revenue is non-incremental.

Connect Shopify, Meta, Google, TikTok in ~5 minutes. First insights in 48 hours. 91%+ forecast accuracy within 90 days.

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Subscriptions

LTV optimization for subscription DTC brands.

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See It Learn Your DTC Brand

30-min demo with your Shopify data. Live.

Book a DemoSee Pricing
Connects in 5 min
First insights in 24 hrs
78% → 91% accuracy