Wellbel Kept Their Full Subscriber History Migrating to Skio with HAM

Built on Science, Run on Subscriber Loyalty

Wellbel is a hair wellness brand founded by Dr. Dan Yadegar, a Harvard-trained functional medicine physician who built the formula after seeing his sisters struggle with hair loss. The product line runs on a "fewer ingredients, greater results" philosophy: vegan supplements designed around clinical dosing rather than the megadose biotin formulas that dominate the category.

Subscriptions are the heart of the business. Hair supplements only work if customers stay on them long enough to see results, which makes retention more than a metric for Wellbel; it's the model. Sonja Grasser owns that function. Her job is to keep subscribers seeing progress, surface what's working across acquisition cohorts, and forecast the inventory and demand that comes with a fast-growing wellness brand selling across DTC, Bluemercury, and international markets.

For Wellbel to plan ahead with confidence, Sonja's team needed clean, continuous subscriber data and a way to act on it.

Data That Kept Disappearing

When Wellbel moved their store to Shopify, their full historical retention dataset disappeared. Every cohort built since launch, every long-term trend, every signal about which acquisition channels actually produced loyal subscribers: gone. They rebuilt from scratch.

So when it was time to evaluate a new subscription platform, that loss was front of mind. Sonja's team wasn't willing to migrate twice and lose history again.

The data problem ran deeper than continuity. Demand planning lived in spreadsheets. Forecasting subscriber growth and inventory meant manual modeling that was slow, error-prone, and impossible to scale as the brand grew. When something shifted, whether a retention dip, an underperforming acquisition channel, or an offer behaving unexpectedly, the team had no fast way to understand why. Cross-functional analysis required pulling reports, stitching tabs, and waiting on someone with SQL access. By the time they had answers, the window to act had usually closed.

Wellbel needed two things from the next platform: zero data loss on the way in, and an analytics layer that could turn historical and real-time data into decisions.

Why Skio Plus HAM Was the Stack

Skio's migration preserved Wellbel's full retention history intact. Every cohort, every long-term trend, every subscriber record transferred with no break in visibility. The team wasn't starting over; they were continuing a story.

That continuous foundation is what HAM is built for. HAM is an analytics and retention platform purpose-built for subscription brands. It unified Wellbel's historical and real-time subscription data into a single source of truth, then layered planning and intelligence on top.

Demand planning that used to live in spreadsheets now runs inside HAM. Sonja's team forecasts subscriber growth and inventory needs against real data, and runs scenario plans to model how shifts in acquisition, retention, or product mix will play out. When a retention dip or a cohort underperforms, HAM's agentic deep research analyzes the drivers across customer segments, product behavior, and acquisition sources, then returns concrete recommendations within days. Through HAM's MCP integration with Claude, the team can also query subscriber and retention data directly in their workflow, moving from what happened to why it happened and what to do next without pulling reports or stitching analysis together.

The stack works because each part does what it does best. Skio runs the subscription infrastructure and keeps the data clean and continuous. HAM turns that data into the insights Wellbel's retention team acts on every day.

Decisions in Days, Not Weeks

Wellbel now operates with a complete view of subscriber behavior across the entire lifetime of the brand. Workflows that used to pull Sonja's team into spreadsheet maintenance are automated. Forecasting is faster, more reliable, and built to scale alongside the business.

When performance moves, the team doesn't dig through fragmented data anymore. They use HAM to surface what changed, understand why, and decide what to do next. Strategic questions that used to take weeks of analysis get answered in days.

The bigger shift is in how the retention function spends its time. Less time piecing together what happened, more time acting on it. Sonja's team is currently exploring expanded billing reminders and post-cancel winback programs in Skio, with HAM identifying which subscriber segments to prioritize first.

For a brand whose subscribers buy because they trust the science, decisions grounded in the full data history matter. Skio and HAM made sure Wellbel kept it.