Stripe for SaaS is a no brainier
June 14, 2018

Stripe for SaaS is a no brainier

John Schwartz | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Stripe

We use Stripe to handle all of our e-commerce. We are a SaaS startup and most of our revenue is subscription based. We also use it for promos/discounts and keeping track of customers on a revenue basis. We have integrated it with a referral platform to manage commissions as well. Stripe solves our payment processing issues and can throw off some good data for making decisions.

Pros

  • Handles multiple payment types including ACH seamlessly. They also added one-time invoicing as well which has been helpful for one-off charges
  • Great API integrations with pandaDoc, FirstPromoter, Slack and other platforms
  • Multiple pricing levels and programs enable us to be flexible in what we are offering to our customers and modify based on needs of the market.

Cons

  • It's pretty code-intensive to set up. You have to be a developer to get it on your site -- I feel like it should be more turnkey.
  • Better reporting and analytics -- why should i have to subscribe to yet another sass platform like Baremetrics to get better metrics -- feel like these should be onboard at Stripe. If a competitor came along with better metrics, we would switch.
If you have a subscription/SaaS business, Stripe is great and easy to administrate for the most part. If you have a one-off transactional sales platform, Stripe is not as useful -- I would use Shopify in those cases. If you are a contractor and billing for hours that vary monthly, Stripe is not a good choice -- there are better solutions available.

Overall Satisfaction Continued

  • By managing our e-commerce, Stripe makes it easy to have a subscription business, so it automates the whole thing.
  • ROI would be much higher with better analytics -- having to create reports and segment customers manually is a pain and definitely eats into the ROI of the product
  • I would also like to see more AI applied to the reporting and data for better insights

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