Stripe Integration

Prioritize Features Based on Who's Asking and How Much They Pay

ProductLift automatically syncs MRR, LTV, plan name, and subscription status from Stripe. See the revenue behind every feature request so you can prioritize what moves the needle for your business, not just what gets the most votes.

Revenue data sync
4.8 on G2
5-minute setup
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Aaron Dye Timothy M. Ben Marco Chris R.
from 124+ reviews
ProductLift prioritization with Stripe revenue data

What the Stripe Integration Does

Enrich every user profile with live revenue data from Stripe

Auto-Sync MRR and LTV

Monthly recurring revenue and lifetime value pull from Stripe automatically. Every user profile in ProductLift shows their current revenue contribution.

Plan and Subscription Status

See which plan each customer is on (Free, Pro, Enterprise) and whether they are active, trialing, or churned. Filter feedback by any of these.

Filter Feedback by Revenue

Sort and filter feature requests by total MRR of voters. See which requests come from your highest-paying customers versus free tier users.

Revenue-Based Segments

Create user segments based on MRR ranges, plan names, or subscription status. View feedback from Enterprise customers separately from free tier users.

Weighted Prioritization

Use revenue data in RICE, ICE, and other prioritization frameworks. A feature requested by $50K MRR customers scores differently than one from free users.

Live Data Updates

Stripe data refreshes automatically. When a customer upgrades their plan, their ProductLift profile reflects the new MRR right away.

Your Workflow Before and After the Stripe Integration

Before

With ProductLift

Every vote counts the same regardless of customer value
See the combined MRR behind each feature request
Exporting Stripe data to spreadsheets to cross-reference feedback
Revenue data appears on every user profile and feedback post automatically
Enterprise customers churn because their needs get outvoted by free users
Segment feedback by plan to see what your most valuable customers need
Guessing which features will reduce churn
Data shows exactly which features churned and at-risk accounts requested

Why Revenue Data Belongs in Your Feedback Pipeline

Most feedback tools treat every vote equally. A free trial user and an enterprise customer paying thousands per month each get one vote, which means a feature requested by hundreds of free users can outrank a critical need from your top revenue accounts. This is a fundamental problem for SaaS businesses where a small percentage of customers often represent a large share of total revenue. Losing even one enterprise account because their needs were consistently deprioritized can cost more than acquiring dozens of smaller customers.

Revenue-weighted prioritization solves this by enriching every user profile with billing data. When you can see the combined monthly recurring revenue behind each feature request, prioritization decisions become strategic rather than purely democratic. A request backed by $30K in combined MRR tells a different story than the same request backed by $300. Both data points matter, but they inform different decisions. The high MRR request might justify fast-tracking development. The low MRR request might indicate a growth opportunity if combined with other signals.

Beyond individual request prioritization, revenue data enables powerful segmentation. Product teams can view feedback exclusively from enterprise customers, from customers on a specific plan, from churned accounts, or from users in a trial period. Each segment reveals different needs. Enterprise customers often request advanced configuration, compliance features, and API capabilities. Growth-tier customers request collaboration tools and workflow improvements. Free-tier users request features that would justify upgrading. Understanding these patterns by segment helps product teams build for the right audience at the right time.

ProductLift's Stripe integration syncs MRR, lifetime value, plan name, and subscription status automatically. User profiles update in real time when customers upgrade, downgrade, or cancel. Variable user segments let you create filtered views based on any combination of revenue data and custom fields. When using RICE, ICE, or other prioritization frameworks, revenue impact becomes a first-class scoring dimension rather than a number someone manually estimates in a spreadsheet.

Trusted by SaaS Teams Using Stripe

Sebastian F.

Sebastian F.

Entrepreneur

This app will help you connect with your users and gather feedback like never before. The UI is clean and focused. The different pages and forms can be fully customized. Ruben is an amazing developer and entrepreneur with a proven track record. ProductLift is going places and you should get onboard.
Aaron Dye

Aaron Dye

An excellent product with equally excellent support! Everything just works, and when I had questions, the team was incredibly responsive.
Timothy M.

Timothy M.

Product Manager

This tool is literally a needle in a haystack. I was using Frill, and this doesn't even compare. The user interface, the way it lays out — so amazing. Also amazing support team!
Ben

Ben

Product Owner

Helped us quickly move away from our antiquated spreadsheet to a user-interactive system. User feedback is now collected in real-time. Support has been super speedy!
Marco

Marco

Based in Europe, ideal for privacy-conscious customer interaction. Constant improvements by Ruben together with thorough support make ProductLift a solid and future-proof choice.
Chris R.

Chris R.

Founder

By far the most customizable of all the feedback tools and much better than Feedbear. Developer is super responsive and support has been great. Highly recommend!

Stripe Integration FAQ

What data does ProductLift pull from Stripe?

ProductLift syncs MRR (monthly recurring revenue), LTV (lifetime value), plan name, subscription status (active, trialing, canceled), and billing interval. This data appears on each user's profile and can be used for filtering and prioritization.

How does ProductLift match Stripe customers to feedback users?

Matching happens by email address. When a ProductLift user's email matches a Stripe customer email, their revenue data is linked automatically. You can also use SSO to ensure consistent identity across both systems.

Can I create user segments based on Stripe data?

Yes. Use variable user segments to filter by MRR ranges, plan names, subscription status, or custom fields. For example, create an Enterprise segment for customers above $500 MRR and view their feedback separately.

Does the revenue data update automatically?

Yes. Stripe data syncs automatically. When a customer upgrades, downgrades, or cancels, their ProductLift profile updates to reflect the change. You can also trigger a manual sync at any time.

How does revenue data affect prioritization scores?

When using frameworks like RICE or ICE, you can factor in revenue impact. A feature requested by customers representing $20K in combined MRR will score higher on the Reach and Impact dimensions than one requested by $500 in combined MRR.

Start Prioritizing by Revenue Today

Connect Stripe and see the business impact behind every feature request.

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