Growth engines for DTC brands.
Most DTC brands ship a checkout, then bolt on Klaviyo and hope. We rebuild the layer underneath: unified data, real segmentation, lifecycle flows that compound, and loyalty that captures preference instead of discounting margin.
What we usually walk into.
Repeat rate is flat and no one knows why.
Acquisition works, LTV doesn't. Cohort curves haven't moved in six months and the ESP can't explain it.
Every flow is built on the same three fields.
Email, name, last order. No preference data, no behavioral events, nothing to segment on beyond RFM.
Shopify, Klaviyo and the ad platforms disagree.
Reporting is a full-time job. Attribution debates eat weekly meetings.
Loyalty is a discount funnel.
Points get burned on the next order. Nothing captured, no behavior changed, margin down.
Capture the data. Turn it into business.
In DTC the capture layer is the difference between a working lifecycle and generic newsletters. We instrument the store, unify identity across Shopify, Klaviyo and the warehouse, and add zero-party capture at every touchpoint.
- Unified customer profile: Shopify + ESP + reviews + support + returns
- Behavioral event tracking (browse, cart, PDP, quiz, replenishment signals)
- Zero-party capture: quizzes, preference centers, post-purchase surveys
- Loyalty as a data mechanic, not a discount funnel
- Reviews and UGC wired back into the profile
Once the data is real, activation stops being a calendar and starts compounding. Lifecycle flows targeted by real behavior, replenishment engines, winback and reactivation, and loyalty utility instead of blanket discounts.
- Full lifecycle: welcome, browse, cart, post-purchase, replenishment, winback
- Segmented campaigns driven by preference and behavior, not blast lists
- Replenishment and subscription conversion flows
- Cross-channel: email + SMS + WhatsApp + on-site
- Continuous hypothesis engine on flows, subject lines, offers
What eCommerce stacks tend to look like.
We're stack-agnostic, but these are the tools we plug into most in ecommerce. Click any to see how we use it.
eCommerce brands we've built for.
Everloom
From a 22% to 41% repeat rate in 6 months.
We rebuilt the data layer, shipped a segmented lifecycle program and launched a tiered membership that turned first-time buyers into repeat customers.
Read case studyYoung
Rebuilt a legacy loyalty program into a capture engine.
Young's old loyalty was a discount funnel. We replaced it with a modular program that captures preference data at every touchpoint, online and in-store.
Read case study
Services that fit ecommerce.
Data audit & capture strategy
The entry point to the system. Before anything runs, we need to know what you know, and what you're missing.
Lifecycle architecture
The strategic layer that runs continuously. We map, instrument and operate the full customer cycle, from first purchase to churn, and keep adjusting it as new data lands.
Loyalty & membership build
A modular loyalty system, built around your brand and operated by us. Not a points plugin.
Growth operations
The execution layer that runs alongside Lifecycle Architecture. A weekly hypothesis engine on top of the cycle: timing, offers, segments, sequences, tested and compounded.
Questions we get from ecommerce teams.
We already have Klaviyo. Do we need a data audit first?
Usually yes. Klaviyo can only act on what it sees. Most brands are missing 40–60% of the events and properties needed to segment beyond RFM. The audit is what unlocks real lifecycle.
Do you replace our in-house team?
No. We plug in as a technical growth pod, embed inside your Slack, and either ship what your team can't or accelerate what they're already doing.
How long until we see revenue impact?
Capture buildouts show impact within 8–12 weeks (better segments, better flows, better data). Loyalty and lifecycle compound over 3–6 months.
Want the same for your ecommerce brand?
30-minute diagnostic. We'll tell you where your capture and activation layers are leaking, and what to build first.
Request a call