Hazel reads your full Skio history (subscriptions, subscription orders, cancel flow sessions, and cancellation reasons) and answers business questions in plain English. No dashboards to build.
May 23, 2026
Hazel is an AI coworker that connects to your Skio account and answers business questions about your subscription program the way an analyst would. Once installed, Hazel ingests your subscriptions, subscription-generated orders, cancel flow sessions, and the cancellation reasons your subscribers select, then refreshes every few hours. Ask Hazel about churn by cohort, retention offer effectiveness, which products hold subscribers longest, or how rebill revenue is trending week over week, and you get an answer with the numbers behind it. Hazel pairs your Skio data with Shopify so you can cleanly separate one-time vs. subscription revenue, and joins it with Klaviyo, your ad platforms, and reviews so cross-source questions about subscriber acquisition, retention, and LTV are a single prompt. For consumer brands running Skio, Hazel replaces the work of exporting CSVs, stitching status changes together, and reconciling cancel flow data by hand.
Hazel reads the Skio data that matters for analyzing a subscription program and lets you query it conversationally:
Hazel keeps the full historical record, so churn cohorts and LTV analyses going back to your first subscriber are one prompt.
These are real questions Hazel customers ask about their Skio data:
"Why have cancellations been so high lately? Are we losing new subscribers faster, or are specific products and intervals churning at higher rates?"
"Can we explore the Skio cancellation prevention flows? How are they performing: entry rate, completion rate, and which offers save the most subscribers?"
"Which Skio rebill orders were billed at the wrong price last month? Calculate the revenue impact vs. the correct price."
"How much of our long-duration skip activity is being driven by the Skio SMS billing reminder?"
"Build a weekly churn report by loyalty tier for the 8 weeks before and after our loyalty launch."
"Exclude orders from the Skio sales channel and show me new customer revenue by product for the last 90 days."
"How many shipments in the past 12 months were first-time orders vs. recurring subscription rebills?"
"For subscribers who entered the cancel flow but didn't cancel, what was the most common retention offer that saved them?"
Generate an API key in your Skio account settings and paste it into Hazel. One-time setup, no developer required.
Subscriptions (status, cadence, line items), subscription orders, cancel flow sessions, and cancellation reasons. No cap on lookback. Hazel pulls your full Skio history.
Roughly every 6 hours, automatically.
Cancel flow insights only capture subscribers who use Skio's in-app cancellation process. Subscribers who cancel through support, payment failures, or other paths won't have a documented reason attached. Hazel flags this gap so your churn numbers stay honest.
Hazel strongly recommends connecting Shopify alongside Skio. Together, you can isolate subscription vs. one-time revenue, attribute new subscribers to acquisition channels, and run cohort analyses that follow a customer from first one-time order through their subscription lifecycle.
Skio doesn't ship a public MCP server as of May 2026. Some tools act on Skio data. Gorgias AI Agent manages Skio subscriptions from support tickets, Minimal AI handles subscriber-facing CS, and FlyCode recovers failed payments. Those are action layers. Hazel is the analysis layer.
Rather than connecting an LLM directly to Skio's API and writing the cohorting, churn, and rebill logic yourself, Hazel ingests your Skio data into an analytical store, joins it with your other sources (Shopify, Klaviyo, Meta, TikTok, reviews), and gives your team a single conversational interface for subscription questions. No per-prompt schema discovery, no rate limits, and the same agent answers questions across every source you've connected.
If you specifically want MCP access to Hazel itself, that's available too. Ping us at https://calendly.com/clint-dunn/clint-hazel-intro.
Yes. Recharge acquired Skio in April 2026. Hazel reads both Skio and Recharge data. If you're on legacy Skio, nothing changes. If you're migrating to Recharge, Hazel bridges historical Skio data with new Recharge data so your analyses survive the transition.
Skio's Overview, Products, Dunning, Cohort, Cancel Flow, Segments, and Forecasting dashboards are strong for in-platform subscription views. Hazel is the layer above: it joins your Skio data with Shopify, Klaviyo, your ad platforms, and reviews so you can answer cross-source questions the dashboards can't reach. Skio's Forecasting dashboard predicts revenue from subscription data alone: Hazel can factor in ad spend, email performance, and CS contact rates alongside.
No. Skio Smart Upsells is a subscriber-facing AI product that optimizes AOV with personalized recommendations. Hazel is analyst-facing. It reads your subscription data and answers business questions. Different surface entirely.
Yes. Connect Hazel to Skio by pasting your Skio API key (found in your Skio account settings) into Hazel. Hazel starts ingesting your subscriptions, subscription orders, cancel flow sessions, and cancellation reasons immediately.
Skio is now part of Recharge (as of April 2026). Hazel reads Skio, Recharge, and Stay AI data, which means historical Skio analyses keep working after the platforms merge, and brands evaluating Stay AI as an alternative can compare retention curves apples-to-apples across all three.
Peel and Glew are subscription analytics dashboards. You pick metrics from a menu. Hazel is analyst-first: you ask any question in plain English and Hazel writes the analysis. Same agent across Shopify, ad platforms, email, reviews, and the rest of your stack.
Roughly every 6 hours.
No. Hazel only reads. We never modify your subscriptions, cancel flows, or settings.
Skio's cancel flow only captures reasons when a subscriber uses the in-app cancellation process. Cancellations from support tickets, payment failures, or other paths don't go through the flow, so they won't have a documented reason. Hazel surfaces this gap so your churn analysis stays honest.
Yes. This is one of the most common Skio questions. Hazel uses the Shopify sales channel to cleanly isolate orders from the Skio channel, and pairs it with Skio's subscription data to give you accurate splits across any time window, product, or cohort.
Yes. Hazel reports entry rate, completion rate, and the save rate for each retention offer in your cancel flow. You can break it down by product, cadence, tenure, or cancellation reason.
Yes. Post-acquisition, the most common direction is Skio to Recharge (now intra-company). Hazel also handles Stay AI to Recharge, Stay AI to Skio, and any other direction. Connect both sources during the transition and Hazel stitches historical and new subscription data so churn and LTV analyses span the migration cleanly.
Book a call and we'll walk through your Skio data, the subscription questions you want to answer, and what the rollout looks like.
Hazel helps your team uncover new revenue, catch problems early, and make smarter, faster decisions before you even know what to ask.