Hazel for Stay AI: the AI coworker for your subscription program

Hazel reads your full Stay AI history (subscriptions, recurring orders, churn risk scores, cancellation reasons, dunning state, selling plans) and answers business questions in plain English. No dashboards to build.

May 23, 2026

Hazel is an AI coworker that connects to your Stay AI subscription program and answers business questions about it the way a retention analyst would. Once installed, Hazel ingests your subscriptions, subscription items, recurring orders, churn risk scores, dunning state, selling plan groups, and cancellation reasons, then refreshes automatically. Ask Hazel about subscriber retention by cohort, top cancellation reasons by SKU, churn risk by order cycle, prepaid vs. standard mix, or how a new subscribe-and-save plan is performing in its first 30 days, and you get an answer with the numbers behind it. Because subscription orders flow through Shopify as fulfillable orders, Hazel pairs your Stay AI data with Shopify so subscriber revenue, AOV, and LTV are computed cleanly against your full order history. For consumer brands running Stay AI, Hazel replaces the work of jumping between the Stay AI dashboard, Shopify Reports, your CS tool, and a spreadsheet, and it joins subscription data with your ad platforms, email, and reviews so cross-source questions are a single prompt.

What Hazel does

Hazel reads the Stay AI data that matters for retention and subscription analysis, and lets you query it conversationally:

  • Subscriptions: active vs. cancelled, billing cadence, lifecycle events, cohorted by acquisition month so you can answer "what percentage of subscribers from the May cohort are still active at month 6?"
  • Subscription items: products, variants, quantities, SKUs, and add-ons attached to each subscription, so you can break retention down by what's actually in the box
  • Recurring orders: every recharge, line by line, joined to Shopify so subscriber AOV, MRR, and LTV use the same revenue numbers your finance team uses
  • Churn risk scores: Stay AI's per-order-cycle risk score and risk bucket, queryable so you can isolate the at-risk segment and act on it
  • Cancellation reasons: exit survey responses by reason, by SKU, by cohort, with save-flow outcomes so you can see what's actually driving churn
  • Dunning state: subscribers stuck in the billing-retry cycle, by age and amount, so recoverable revenue isn't sitting in a tab you never open
  • Selling plan groups: standard, prepaid, and calendar-prepaid plans compared side by side on retention, AOV, and LTV

Hazel keeps the full historical record, so multi-year cohort and retention curves are one prompt.

Real questions, real answers

Common questions consumer brands ask about their Stay AI data:

"Can you summarize cancellation reasons from our exit survey for the last 90 days, grouped by SKU?"

"How many subscribers stayed on subscription for 6 months or more vs. 12 months or more, by acquisition cohort?"

"Compare subscriber retention for customers whose first order included our focus product vs. those who didn't."

"Show subscription rate by product by month YTD for our top 10 products by revenue."

"How many shipments in the past 12 months were first-time orders vs. recurring subscription orders?"

"For subscribers who contacted CS, how many stay subscribed through months 1-8 vs. those who didn't?"

"Of new subscribers acquired since the last raise of cancellation prevention, are we seeing fewer cancels or skips?"

"Top cancellation reasons for subscribers who churned within their first three order cycles, with save-flow recovery rate alongside."

Frequently asked questions

If Stay AI is already AI, why do I need Hazel?

Stay AI's AI is for retention execution. RetentionEngine optimizes which cancel-flow treatment saves each subscriber, WinbackEngine times winback outreach. Hazel's AI is for analysis. It reads Stay AI's outputs (which treatments worked, by SKU, by cohort, joined to acquisition channel) alongside Shopify, Klaviyo, ad spend, and CS, and answers cross-source questions your operator types in plain English. Different surface, complementary.

How is Hazel different from Stay AI's Churn Reporting Dashboard?

Stay AI's RetentionEngine, WinbackEngine, and Churn Reporting Dashboard are best-in-class for retention treatments and in-platform churn diagnostics. Hazel sits above them: it queries the outputs (which treatments worked, by SKU, by cohort, joined to acquisition channel) and answers open-ended questions that span subscriptions, Shopify orders, ad spend, email, CS tickets, and reviews. If the question isn't in Stay AI's UI, Hazel answers it.

Does Hazel work with Stay AI?

Yes. Paste your Stay AI access token into Hazel during connector setup and Hazel begins ingesting subscriptions, recurring orders, churn risk scores, dunning state, cancellation reasons, and selling plans.

How is Hazel different from Recharge or Skio analytics?

Hazel isn't a subscription platform. It's the AI coworker on top of whichever platform you run. Recharge acquired Skio in April 2026, so Stay AI now competes against a single combined entity. If you're considering migrating to (or from) Recharge, Hazel reads all three so analyses survive any direction.

Can Hazel handle a mid-migration from Recharge or Skio to Stay AI?

Yes. Connect both sources during the transition and Hazel reads historical subscription data from the legacy platform alongside new data from Stay AI. Retention curves don't restart.

A note on Loop Subscriptions vs. Loop Returns.

Stay AI publishes comparisons against Loop Subscriptions. A different product from Loop Returns. Hazel integrates with both Stay AI and Loop Returns. If you see "Loop" in the Hazel marketplace, that's Loop Returns (post-purchase), not Loop Subscriptions.

How often does Hazel pull data from Stay AI?

Roughly every 6 hours, automatically.

Will Hazel write data back to my Stay AI account?

No. Hazel only reads. We never modify a subscription, cancel a sub, or change a selling plan.

Can Hazel use Stay AI's churn risk scores in an analysis?

Yes. The per-order-cycle churn risk score (0-1) and risk bucket are queryable. You can pivot any analysis by risk band. E.g. "subscribers in the high-risk bucket: what's the save-flow recovery rate by cancellation reason?"

Can Hazel break down retention by SKU or selling plan?

Yes. Subscription items, SKUs, variants, and selling plan groups (standard, prepaid, calendar-prepaid) are all queryable. Retention by product, by plan type, by acquisition cohort. One prompt.

How do I get started?

Book a call and we'll walk through your subscription program, the retention questions you want to answer, and what the rollout looks like.