Hoop is live · custom pricing · last verified 26 Oct 2026 · viability monitor
Hoop
Hoop — the AI agent that intercepts Shopify cancellation tickets and saves subscribers 24/7
If you're running a Shopify subscription brand with meaningful cancellation volume, Hoop is one of the few AI agents targeting an actual revenue leak rather than inbox tidiness. The reported 18% save rate (up 13 points) is the number that matters — if it holds at your volume, the payback is fast. Just don't buy it expecting a general support bot; keep your helpdesk for everything else.
Verdict generatedVerified 4d ago · liveness 64/100 · cite: rightaichoice.com/tools/hoop
- Shopify subscription brands fielding 10+ cancellation tickets per day
- DTC teams on Recharge or Skio that want automated save flows instead of manual outreach
- CX leaders trying to cover cancellation conversations 24/7 without extra hires
- Founders who want structured retention data — reasons, offer performance, MRR saved — without manual tracking
- Non-Shopify merchants or brands not billing through Recharge or Skio
- Teams looking for a general-purpose AI chatbot across all support tickets
- Businesses that want a human on every cancellation conversation with zero automation
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Skip Hoop if you don't run a Shopify subscription brand billing through Recharge or Skio, or if you need AI that handles all your support tickets rather than only cancellation saves.
For a Shopify subscription brand saving even a handful of subscribers a month, the ROI math usually beats the alternative — a retained-subscription value higher than any per-ticket seat cost. Compare against manual save outreach (agent hours) or a general helpdesk AI, both of which do less on cancellations specifically.
In short
Hoop — Hoop — the AI agent that intercepts Shopify cancellation tickets and saves subscribers 24/7. Best for Shopify subscription brands fielding 10+ cancellation tickets per day, DTC teams on Recharge or Skio that want automated save flows instead of manual outreach, CX leaders trying to cover cancellation conversations 24/7 without extra hires. Pricing is on request (custom quotes).
What is Hoop?
Hoop — Hoop — the AI agent that intercepts Shopify cancellation tickets and saves subscribers 24/7. Best for Shopify subscription brands fielding 10+ cancellation tickets per day, DTC teams on Recharge or Skio that want automated save flows instead of manual outreach, CX leaders trying to cover cancellation conversations 24/7 without extra hires. Pricing is on request (custom quotes).
Hoop is a single-purpose AI retention agent for Shopify subscription brands. It plugs into helpdesks like Gorgias, Zendesk, and Kustomer and billing tools like Recharge and Skio, then watches for cancellation tickets. When one arrives, Hoop reads the request, asks why, and runs a save conversation in your brand's voice over chat or email, day or night. The agent matches each cancel reason against a plain-English retention policy and pitches a discount, pause, swap, or cadence change. If the customer accepts, Hoop applies the change to the billing tool and writes the outcome back to the helpdesk ticket. Every attempt is logged with reason, offer, and result, feeding a retention scorecard that tracks save rate, top cancellation reasons, offer performance, and MRR retained. Setup is intentionally light: Hoop ingests 90 days of cancellation history, co-drafts an initial retention policy, and lets you approve drafts in sandbox before going live. The whole process takes about a week with roughly 20 minutes of your team's time. Built by the Trello founding team and backed by Index, Origin, Divergent, and Chingona Ventures, Hoop is aimed at brands handling 10 to 10,000 cancel tickets per day. It's not a general support chatbot — it does the save conversation and little else, which is exactly the point for teams whose biggest leak is voluntary churn.
Key features
- Intercepts cancellation tickets from Gorgias, Zendesk, and Kustomer 24/7
- Runs conversational save flows in your brand voice over chat and email
- Matches each cancellation reason against a plain-English retention policy
- Applies accepted offers (discount, pause, swap, cadence change) directly to Recharge or Skio
- Writes save outcome and conversation history back to the helpdesk ticket
- Escalates edge cases to human agents automatically
- Provides retention scorecard: save rate, top reasons, offer performance, MRR retained
- A/B tests save offers by editing policy in plain English
- Reads Shopify order history, product catalog, and customer data for context
- Auto-updates product and policy knowledge base from ticket resolutions
- Captures structured data on every save attempt: reason, offer, outcome, subscription value
- Sends weekly digest of MRR retained and saves count
- Sandbox mode for reviewing draft save flows before going live
- Segments offers by tenure, AOV, channel, plan, and cancel reason
- Supports pause, skip, swap, and discount offers
Behind the verdict
Hoop occupies a narrow but valuable lane: it is an AI agent purpose-built to save Shopify subscription cancellations, not a general support chatbot. Its core strength is the complete save loop — it reads the cancellation ticket, asks why, matches the reason against a plain-English retention policy, pitches a discount, pause, swap, or cadence change, applies the accepted change directly to Recharge or Skio, and writes the full outcome back to the helpdesk ticket. That closed loop is what separates it from bolt-on cancellation flows that stop at the offer.The retention scorecard is the second differentiator. Every attempt is logged with reason, offer, and outcome, so you get structured data on top cancellation reasons, offer performance by segment (tenure, AOV, channel, plan), and MRR retained — numbers that usually live in spreadsheets, if they exist at all. Teams can A/B test save offers by editing the retention policy in plain English, which lowers the operational burden compared with rewriting macros or retraining agents.Setup is deliberately light: Hoop ingests 90 days of cancellation history, co-drafts an initial policy, and lets you approve drafts in sandbox before going live. Roughly 20 minutes of team time per connection, live within about a week.The honest constraints are baked into its design. It only works for Shopify subscription brands billing through Recharge or Skio, and it only handles cancellation conversations — not billing questions, shipping issues, or product inquiries. If you need a general-purpose AI across all support tickets, this is the wrong tool. For teams whose biggest leak is voluntary churn and who already run Gorgias/Zendesk/Kustomer plus Recharge/Skio, the focus is a feature, not a limitation.
Limitations
- Hoop is designed for Shopify subscription brands, working between helpdesk tools (Gorgias, Zendesk, Kustomer) and subscription billing platforms (Recharge, Skio), with Shopify commerce data as the context layer.
- Supported stack integrations include Gorgias, Zendesk, or Kustomer connected with Shopify and Recharge or Skio.
- Setup takes about 20 minutes to connect with no migration, and teams are typically live within a week.
- The product is currently in waitlist/pre-launch status.
as of 2026-09-27
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Is Hoop still active?
Hoop is live · custom pricing · last verified 26 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Hoop? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Hoop?
What people actually say about Hoop — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Hoop— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Hoop 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed limitations, pricing page
- — changed pricing fit, hidden costs, who should skip it, limitations, setup time, switching in, switching out
- — changed our verdict, description, features, who should skip it, who it suits, summary
- — changed limitations
- — changed SSL certificate, domain expiry
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Hoop cost in 2026?
Hoop: Pricing is on request (custom quotes). Pricing last verified 26 Oct 2026.
Where the pricing makes sense
The company stage and team size where Hoop's pricing actually pencils out — and where peers do it cheaper.
For a Shopify subscription brand saving even a handful of subscribers a month, the ROI math usually beats the alternative — a retained-subscription value higher than any per-ticket seat cost. Compare against manual save outreach (agent hours) or a general helpdesk AI, both of which do less on cancellations specifically.
Has Hoop's pricing changed?
No plan price for Hoop has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Hoop?
Pick Hoop if you are Shopify subscription brands fielding 10+ cancellation tickets per day, DTC teams on Recharge or Skio that want automated save flows instead of manual outreach, CX leaders trying to cover cancellation conversations 24/7 without extra hires, Founders who want structured retention data — reasons, offer performance, MRR saved — without manual tracking.
Look elsewhere if you are Non-Shopify merchants or brands not billing through Recharge or Skio, Teams looking for a general-purpose AI chatbot across all support tickets, Businesses that want a human on every cancellation conversation with zero automation, Enterprises that require custom model fine-tuning or on-premise deployment.
Skip it if Skip Hoop if you don't run a Shopify subscription brand billing through Recharge or Skio, or if you need AI that handles all your support tickets rather than only cancellation saves.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Hoop actually fits — and what changes day-one when you adopt it.
A subscriber opens a cancellation ticket saying 'too expensive.' Hoop reads the ticket, asks why in your brand voice, matches the reason against your retention policy, offers a 25% discount for three months, applies it to Recharge on acceptance, and writes the full outcome back to the Gorgias ticket.
Outcome: The subscriber stays on a discounted plan; the save and reason are logged to the retention scorecard, and no human agent had to touch the ticket.
Hoop logs every save attempt with reason, offer, and outcome, then surfaces a weekly digest with save rate, top cancellation reasons, and MRR retained — segmented by tenure, AOV, channel, and plan.
Outcome: You see which offers actually convert for which reasons and can tune the plain-English retention policy to push save rate higher.
The new agent starts in sandbox mode, letting Hoop run the save conversation while the agent reviews drafts and edge cases before anything goes live.
Outcome: The agent learns the save script by reviewing Hoop's drafts, and edge cases still route to a human automatically.
Use cases
- Automatically intercept cancellation tickets in Gorgias and offer discount or pause options to save at-risk subscribers.
- Analyze top cancellation reasons (e.g., 'Too expensive', 'Too much product') to inform product and pricing decisions.
- Run A/B tests on save offers (e.g., 25% off vs. pause) and track which offers convert best for each reason.
- Calculate MRR retained from saved subscriptions and track month-over-month improvement without manual spreadsheets.
- Onboard new support agents by letting Hoop handle the save script while agents review edge cases in draft mode.
- Reduce customer churn by 5-18% within months using AI that learns from each save conversation.
Setup time & first value
How long it actually takes to get something useful out of Hoop — broken out by persona, not the marketing-page minute.
About 20 minutes of your team's time per connection. Hoop ingests 90 days of cancellation history, co-drafts an initial retention policy, and lets you approve drafts in sandbox before going live. Teams are typically live within a week.
Switching to or from Hoop
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual save outreach: Hoop ingests 90 days of cancellation history and co-drafts a retention policy so you start from your own data, not a blank slate.
- →From helpdesk macros: replace static discount/pause macros with a plain-English policy Hoop follows over chat and email.
- →From spreadsheet tracking: Hoop's retention scorecard replaces manual MRR-retained and reason-tracking sheets automatically.
- ↗To manual save outreach: export your retention policy and save-attempt log before disconnecting the helpdesk and billing integrations.
- ↗To a general helpdesk AI: keep your Gorgias/Zendesk/Kustomer history intact; Hoop's save data lives in your helpdesk tickets already.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Hoop”, and we withheld 6: 6 could not be judged, because “Hoop” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Hoop.
Official links
What are the best Hoop alternatives?
The closest alternatives to Hoop we list are Gorgias, Botpress and Yuma AI. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Gorgias | Paid | Pricing not published | — |
| Botpress | Freemium | Pricing not published | — |
| Yuma AI | Freemium | Pricing not published | — |
Alternatives to Hoop
View allTools that pair well with Hoop
Common stack mates teams adopt alongside Hoop, with the specific reason each pairing earns its keep.
Gorgias
Gorgias is an ecommerce helpdesk with an AI Agent that resolves tickets, cancels orders, and upsells on Shopify.
Botpress
Botpress builds AI support agents that resolve refunds, plan changes and multi-step tickets end-to-end on your existing helpdesk.
Yuma AI
Yuma AI resolves ecommerce support tickets end to end, taking live actions in Shopify, Recharge and Loop rather than just drafting replies.
Hoop vs its closest rival
Hoop's closest head-to-head is with Weglot — These tools solve completely different problems. Choose Weglot if you need to translate your website (any CMS) into multiple languages quickly with brand-consistent AI. Choose Hoop if you run a Shopify subscription brand and want to automate cancellation saves to retain revenue. No direct competition. Verdict generated
Head-to-head comparisons
Hoop vs Weglot
These tools solve completely different problems. Choose Weglot if you need to translate your website (any CMS) into multiple languages quickly with brand-consistent AI. Choose Hoop if you run a Shopify subscription brand and want to automate cancellation saves to retain revenue. No direct competition.
GeneratedHoop vs Chili Piper
Chili Piper and Hoop serve completely different markets—B2B enterprise revenue acceleration vs. DTC Shopify subscription retention. Choose Chili Piper if you're a high-traffic B2B site needing instant meeting booking and lead routing; it's mature with active development. Choose Hoop if you run a Shopify subscription brand and want to automate cancellation saves; it's a niche tool but less active in recent news. Both are best-in-class for their specific use cases, not interchangeable.
GeneratedHoop vs B Rokratt
Choose Bürokratt if you are an Estonian citizen or e-resident navigating public services for free. Choose Hoop if you run a Shopify subscription brand and want to automate cancellation retention 24/7. These tools are not competitors—they serve entirely different use cases.
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