Comparing Loop with?
Here's a common scenario: You launch subscriptions on Stay AI. Everything works as expected—subscribers are billing, the portal is set up, and the cancel flows help reduce churn. The launch is successful.
Then, six months later, you're experiencing higher order volumes, and a few challenges start to emerge. Your CX team is dealing with a growing number of "how do I skip?" tickets. You find it difficult to identify which order numbers are contributing most to churn. Your portal settings reset unexpectedly during a busy period. Support escalations take longer than needed.
The question isn't "Is Stay AI working for us?"—it’s "Is this platform the right choice for scaling as we grow?"
For growing brands, it's not just about having cancel flows; it’s about how customizable and measurable those flows are as your order volumes increase. Loop Subscriptions helps teams reduce support burden with data-backed save journeys that scale efficiently. This guide helps you evaluate whether your platform will continue to meet your needs as you scale.
Use this diagnostic to evaluate your platform before scaling. These are not just "Stay AI vs. Loop" questions—they’re about assessing whether your platform is suited for your growth trajectory.
"As our order volume increases, will our portal create more support tickets or fewer?"
What to look for:
Red flag: Multi-step navigation, OTP requirements, generic experience for all subscribers
Why it matters at scale: At higher order volumes, if a large percentage of subscribers contact support about portal navigation, it can lead to a significant increase in support tickets, impacting both customer satisfaction and operational efficiency.
"Can we identify which specific order numbers have the highest churn, broken down by product and billing frequency?"
What to look for:
Red flag: Aggregate churn % only, no drill-down by segment or order number
Why it matters: Being able to see churn by order number allows you to implement specific retention tactics. Without this data, you might miss opportunities to reduce churn at key points in the customer journey.
"Can we show different cancel videos and offers to order #2 vs. order #10 subscribers?"
What to look for:
Red flag: One-size-fits-all video + generic discount for everyone
Why it matters: Tailoring the offer based on order count or LTV can help preserve margin and ensure more subscribers are retained with the right offer. A generic offer may not be as effective.
"What's our payment recovery rate, and can we store backup payment methods?"
What to look for:
40-70% recovery rate: Many subscription businesses report recovery rates in this range. Brands with optimized dunning processes can achieve even higher recovery rates, often exceeding 70% for top performers.
Red flag:
Why it matters:
Payment failures are common in subscription models, and optimizing recovery rates can substantially boost retention and revenue. The difference between a 30% recovery rate and a 50% recovery rate can lead to significant revenue growth, potentially recovering hundreds of thousands of dollars annually. Loop Subscriptions reports 90%+ payment recovery with its advanced retry logic (learn more about Loop's payment recovery features here).
"What happens to our custom portal settings when the vendor pushes platform updates?"
What to look for:
Red flag: Configurations reset without warning, merchant-reported portal bugs after updates
Why it matters: Unexpected resets or bugs, especially during peak times like BFCM, can cause significant disruptions to operations. It’s crucial to ensure your platform can maintain configurations through updates.
"If our portal breaks at 8 AM ET during peak fulfillment week, when do we get help?"
What to look for:
Red flag: Email-only support, next-day escalations, time-zone misalignment (Pacific AM for East Coast brand)
Why it matters: At high order volumes, any unresolved technical issue can escalate quickly and impact customer satisfaction, making quick and responsive support essential.
"At 2x and 5x our current volume, does our per-order cost go up, stay flat, or go down?"
What to look for:
Red flag: Per-order fees, unpredictable add-ons, feature gates at higher tiers
Why it matters: As your order volume increases, per-order fees can significantly increase your overall costs. A transparent pricing model that rewards scaling is key for sustainable growth.
"Are retention features (analytics, flows, dunning, upsells) included or sold separately as we scale?"
What to look for:
Red flag: Core retention tools require plan upgrades or add-on purchases
Why it matters: If essential features like profile-based cancel flows, backup payment capture, or order-level analytics require additional costs, it can quickly lead to unforeseen expenses as your business scales.
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Before we diagnose gaps, let’s acknowledge where Stay AI delivers:
Evaluating Stay AI using the 8-question framework can reveal potential scalability issues for subscription brands looking to grow. Below is an honest analysis of Stay AI’s capabilities and potential limitations.
Claim: Merchants report significant support tickets related to "how do I skip?" or other portal navigation issues.
Claim: Stay AI offers basic order-level churn & cohort analytics — but not drill-downs by Selling Plan, Delivery Frequency, Country, or Reason trends, which Loop Subscriptions provides.
Claim: Stay AI’s cancel flow offers a one-size-fits-all solution without the ability to segment by order count, LTV, or product.
Claim: Stay AI’s recovery rate is estimated to be between 20‑30%, which is lower than industry standards.
Claim: Some merchants report that Stay AI’s portal settings reset after platform updates.
Claim: Merchants report delays in support response time, particularly when working with account managers in different time zones.
Claim: Stay AI’s pricing model includes per-order fees, which increase operational costs as your business scales.
Claim: Basic features are included, but advanced features like profile-based cancel flows and order-level analytics are not native to Stay AI.
Stay AI performs well on Q7 (Economic Scaling) and Q6 (Support Tempo) but shows potential limitations in Q2 (Churn Diagnostic), Q3 (Cancel Flow Precision), and Q4 (Dunning Recovery). Brands using Stay AI should assess whether its scalability suits their growth trajectory, particularly if advanced retention and payment recovery features are critical to their long-term strategy.
Overall, Stay AI may work well for smaller or early-stage businesses but could face challenges in handling higher-order volumes, more sophisticated retention strategies, and customization requirements as the business scales. Loop Subscriptions, on the other hand, is designed for growth — delivering advanced retention journeys, proactive dunning intelligence, and analytics that help teams protect revenue and increase subscriber lifetime value at scale.
When you reach higher order volumes, the following capabilities become essential rather than optional:
Run your platform through the 8-question framework. If you scored <3 green flags, you're building on a foundation that won't hold at 2-3x volume.
Read why brands migrate from Stay AI to Loop Subscriptions →
Good Protein migrated from Stay AI to Loop Subscriptions and achieved a 400% subscriber‑base increase in four months while reducing churn significantly. Read their migration story
See the 5 features Stay AI lacks at scale →
Pre-auth links, profile flows, backup payments, order analytics, personalized upsells (to interlink sub blogs)
Compare Stay AI vs. Loop → Transparent framework scoring + feature depth breakdown
Book a feature demo →
Experience live demos of pre-auth links, profile-based flows, backup payments, order-level analytics, and personalized upsells.
Q1. How can I evaluate whether Stay AI is the right platform for scaling my subscription business?
To assess if Stay AI is suitable for scaling, use the 8-question framework outlined in the blog. This framework evaluates key areas such as portal friction, churn diagnostics, dunning recovery, and support tempo to determine if Stay AI can meet your growth needs as you scale beyond early-stage operations.
Q2. What are the limitations of Stay AI for high-volume subscription businesses?
Stay AI provides core subscription workflows, but its retention tooling is less suited to high-volume teams. It lacks deeply segmented churn insights, profile-based cancel journeys, step-level save rate tracking, and dunning workflows like backup card fallback and pre-failure alerts. For brands scaling beyond early-stage volume, these gaps can result in higher operational effort and lower revenue retention.
Q3. How does Loop Subscriptions improve upon Stay AI’s cancel flows?
Stay AI enables merchants to configure a single standardized cancel flow with some customization options. Loop Subscriptions expands on this by enabling multiple cancel journeys tailored to subscriber cohorts — for example, different messaging and offers for a second-order subscriber vs. a tenth-order subscriber. This deeper personalization has a measurable impact on save rates and customer lifetime value.
Q4. What is the dunning recovery rate for Stay AI and how does it compare to Loop Subscriptions?
Stay AI's dunning recovery rate is estimated to be 20-30%, while Loop Subscriptions boasts a ~90% payment recovery rate with its advanced retry logic, backup payment capture, and pre-failure alerts. If you're seeing low recovery rates, switching to a more robust dunning solution can significantly improve your revenue retention.
Q5. What are the key features high-volume subscription brands need that Stay AI may lack?
High-volume brands need advanced features such as profile-based cancel flows, order-level churn diagnostics, seamless dunning recovery, and real-time support. Stay AI may not provide the depth of these tools, which are critical for reducing churn, increasing retention, and optimizing growth at larger scales.
