US shoppers spent $257.8 billion online between November 1 and December 31, 2025, a record, according to Adobe Analytics data drawn from more than a trillion visits to US retail sites.
A lean team shipping a store off the back of a SaaS product, or a startup whose whole business is the store, can't treat that shift as background noise.
Getting the right SaaS startup ecommerce features in place early matters more than adding a tenth integration nobody asked for.
The shopper on the other end is on a five-inch screen, paying with something other than a card in full, and often arriving from a chatbot rather than a search box.
Why SaaS Startup Ecommerce Features Can't Wait
Baymard Institute's meta-analysis of published studies puts the average online cart abandonment rate at 70.22%, a figure that's held between 69% and 71% since 2014 despite a decade of new checkout technology. Most of that abandonment traces back to a handful of fixable things.
- Checkout that doesn't ask for more than it needs. Baymard's own usability audits, updated in September 2025, found the average US checkout still displays 23 form fields by default, nearly double the 12 to 14 a purchase actually requires, and unexpected costs or a forced account creation are the reasons shoppers name most often for quitting before paying. Rebuilding just that flow is exactly the kind of scoped web and e-commerce work worth doing first.
- Payment methods that match how people actually pay. Buy now, pay later has moved out of discretionary purchases like sneakers and into groceries, subscriptions, and travel, and PYMNTS Intelligence reported in February 2026 that 45% of millennials had used a card installment plan in the prior three months. A store that only takes a card in full turns away shoppers who were ready to buy.
- Mobile-first design, not mobile-friendly design. Mobile devices carried 56.4% of that same holiday spending, per Adobe, and the share climbs even higher on the days shoppers are least likely to sit at a desktop, like Christmas Day. A layout built for a laptop screen and adapted for a phone afterward is optimizing for the smaller half of its own traffic.
- Product discovery built for how people search now. Traffic to US retail sites from generative AI tools jumped 693.4% year over year during the same holiday season, as shoppers used chat assistants and AI browsers to compare products before buying anything. Getting product pages and pricing structured for that kind of traffic is closer to AI and automation work than to traditional SEO.
- Billing infrastructure that gets reused, not rebuilt. A SaaS company already runs recurring billing somewhere in its own product. A store that needs subscriptions or repeat purchases and builds that logic a second time is paying twice for the same job. Teams working with an apps and SaaS partner usually extend what they already have instead of starting over.
Deciding what to build first with a small team
None of this has to ship at once, and trying to is how a two-person engineering team burns a quarter on a store that still converts at the same rate. Checkout and payment methods affect every single order, so they earn the first sprint.
Mobile layout and AI-readable product data matter just as much but can follow once the basics stop losing sales outright. Questions about that kind of sequencing come up often enough with our own clients that we wrote up the questions e-commerce clients ask us most before a rebuild starts.
What can wait until the store is actually live
Loyalty programs, referral schemes, and a custom checkout theme look good in a pitch deck. None of them fix a checkout that asks for 23 fields when 12 would do.
Ship the five things above first, watch which one moves the number, then spend next quarter's budget there instead of guessing again.
Cover photo by Kampus Production on Pexels
