Personalization
Recommendation engines scoped against actual AOV and repeat-rate uplift, not just CTR. Attribution framework agreed upfront.
Vertical
AI for D2C brands
Adjacent · consumer-scale instinct transfers directly
Direct-to-consumer is one of the places our background transfers most cleanly. The discipline that turned free-to-play into a $50 billion category is the discipline that separates AI-native D2C brands from the rest: daily measurement, ruthless prioritization, clear kill criteria.
We work with D2C brands on four recurring problem shapes: personalization at scale (product recommendations, email, onsite, across cohorts rather than individuals), pricing and promotion intelligence (margin-aware discounting, elasticity modeling, cohort-based offers), content at scale (PDP copy, ad creative iteration, SKU proliferation without creative drag), and retention and winback (LTV modeling, churn prediction, dormant-user reactivation).
What makes D2C work different from SaaS AI work: the loops are short, the feedback is unambiguous, and the consumer is not forgiving. Exactly the environment we spent fifteen years shipping into.
Where we help
Four workstreams we see repeatedly
Dynamic pricing
Elasticity modeling and margin-aware promotional engines, with kill criteria so you don't bleed margin to an overfit model.
Content generation
Product copy, ad creative iteration, lifecycle email, with editorial standards on what AI is permitted to ship unsupervised.
Retention intelligence
Cohort-based LTV modeling, churn prediction, and reactivation programs that pay for themselves in the first quarter.
Fit
When our team is the right call
- You have $20M+ in revenue and clean transactional data
- You've tried a personalization vendor and the lift didn't survive the audit
- You need AI work that a CFO can defend against margin impact
- You're planning to hire for AI in 2026 and want to define the role before you fill it
Where to start
Engagements that fit here
Product & Growth Audit
Retention, liveops and monetization for a store or subscription product. Build-ready specs, not a backlog.
Outcome-Based Build
When the target is AOV, repeat rate or conversion and measurement is clean, our fee comes out of the uplift.
AI Transformation Program
Personalization and content workflows shipped to production and run with you after go-live.
Next step
A 30-minute call with a founder
Your AOV and repeat-rate targets are enough to start. You'll get a straight read on whether AI moves them.