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Health & Wellness

AI That Learns Compliance Constraints, Subscription LTV, and Wellness Journeys

Wellness brands face unique constraints: restricted ad categories, compliance-limited claims, and customers who need to experience results before committing long-term. Your marketing intelligence should work within these realities, not ignore them.

See it with your data Meet the agents
Compliance-aware creative intelSubscription LTV attributionResults-timeline forecasting

Wellness Marketing Operates Under Unique Constraints

Restricted categories. Compliance-limited claims. Customers who need weeks to feel results. Standard marketing tools don't account for any of this.

Ad restrictions make testing expensive

Health & wellness ads face stricter review, higher rejection rates, and category-level restrictions on Meta, Google, and TikTok. Every creative variation costs more to test because approval cycles are longer and reach is throttled.

2-3xhigher effective creative testing cost vs. general ecom

Compliant messaging limits your creative playbook

You can't say "cures" or show dramatic before/after. The claims that convert best often get rejected. You're stuck testing approved angles blindly, with no data on which compliant messages actually drive revenue.

40-60%of wellness ad creatives face rejection or restriction

Results take time, but attribution doesn't wait

A probiotic customer needs 30-60 days to feel results before committing to a subscription. First-order ROAS says your campaigns don't work. Six months of subscription revenue says they do. But you've already killed them.

30-90 daystypical results-to-commitment timeline for supplements

New Year spikes mask real demand

January drives a 3-5x revenue spike from resolutions. By March, 60% of those customers have churned. Your Q1 report looks amazing but Q2 shows the reality. Real demand growth is invisible under seasonal noise.

3-5xtypical January resolution revenue spike
Wellness Intelligence Stack

AI Agents That Understand Wellness

Not generic supplement dashboards. Intelligence that learns your compliance constraints, subscription economics, and the results timeline your customers experience.

Parker

Subscription LTV Attribution

True incremental ROAS that values customers by their subscription lifecycle, not just first order. Accounts for the results-to-commitment timeline unique to wellness.

LTV-weighted attribution: values 12-month subscribers, not single bottles
Results-timeline aware: extended windows for products needing 30-90 days to work
Separates New Year resolution buyers from committed wellness customers
Identifies which channels acquire high-retention vs. high-churn subscribers
Compound learning: Wellness brands typically discover their Google search campaigns acquire 2x higher-retention subscribers than Meta, but Meta drives 3x the volume. Parker quantifies this tradeoff.

Olivia

Compliance-Aware Creative Intelligence

Learns which compliant messaging angles, content formats, and claim structures drive the highest incremental ROAS within your regulatory constraints.

Approved-claim performance analysis: which compliant messages convert
Testimonial vs. educational vs. lifestyle content comparison
Platform-specific creative optimization within category restrictions
Creative fatigue prediction accounting for limited creative rotation
Compound learning: Olivia discovers that educational content about ingredient science drives 1.8x higher subscription conversion than testimonial content, while testimonials drive better first-order ROAS.

Felix

Wellness Lifecycle Forecasting

Revenue forecasts that learn your replenishment cycles, seasonal wellness trends, and the results-to-commitment conversion timeline.

Replenishment cycle prediction by supplement category
New Year resolution spike modeling and churn prediction
Results-to-commitment conversion forecasting by product
Seasonal wellness trend modeling (immunity winter, fitness spring)
Compound learning: After two quarters, Felix predicts monthly recurring revenue within +-7% and flags resolution-buyer cohorts likely to churn before they cancel.

Sam

Constrained Scenario Planning

Model budget scenarios within your compliance constraints. Test channel shifts, creative angles, and subscription offers before spending.

Simulate subscription pricing changes and projected retention impact
Model new channel entry accounting for category restrictions
Test trial-to-subscription funnel economics at different price points
Compare educational content vs. influencer strategies with projected outcomes
Compound learning: Instead of a $20K blind test on TikTok with uncertain category approval, Sam models likely outcomes and flags potential restrictions before you commit budget.

Wellness brands also get Maya (institutional memory), Dana (unified data), and Dex (automated delivery) - meet all 7 agents

Your Wellness Marketing, Transformed

What changes when intelligence learns your compliance landscape and customer lifecycle.

Attribution
Before

First-order ROAS says supplements don't work. You kill campaigns that acquire your best long-term subscribers.

After

Parker shows LTV-weighted ROAS. The 0.8x first-order campaign is actually 3.5x over 6 months of subscription.

Creative
Before

Guess which compliant claim works. Rotate 4 approved creatives blindly. No data on which messages drive subscriptions.

After

Olivia learns which approved claims and content formats drive the highest subscription conversion rate.

Seasonality
Before

January resolution spike looks like 3x growth. March reality check reveals 60% churn. Budget planning is a rollercoaster.

After

Felix models resolution spikes separately from organic demand. Budget recommendations account for predictable churn.

Channel Mix
Before

Google search drives higher first-order ROAS. You shift budget from Meta. Volume drops 60%.

After

Parker shows Google acquires 2x better subscribers, but Meta drives 3x volume. Sam models the optimal ratio.

Churn Risk
Before

Discover cohort churn in the quarterly business review. The damage is 3 months old by then.

After

Dex flags early churn signals in new cohorts. Felix predicts which acquisition sources produce high-churn subscribers.

Frequently Asked Questions

Olivia tracks which compliant messaging angles drive the highest ROAS, helping you optimize within regulatory boundaries. She learns which approved claims, content formats, and educational approaches convert best for your specific audience.

Yes. Parker attributes acquisition spend against true subscription LTV, not just first-order value. This surfaces which campaigns acquire committed subscribers vs. one-bottle trial buyers, often revealing that the best acquisition channels differ from what first-order ROAS suggests.

Felix models resolution demand separately from organic growth. It predicts which January cohorts will churn by March and which will convert to long-term subscribers, so you can budget for sustainable growth rather than vanity spikes.

Yes. Cresva connects via standard OAuth and works with whatever campaigns are running. The intelligence helps maximize ROAS within your approved campaigns rather than bypassing platform policies.

Connect Shopify, Meta, Google, and TikTok in under 5 minutes. First insights within 24 hours. After two subscription cycles (typically 60-90 days), forecasts and attribution reach peak accuracy for your supplement category.

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See It Learn Your Wellness Economics

30-min demo with your Shopify and ad data. Live.

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Connects in 5 min
First insights in 24 hrs
Compliance-aware from day 1