6 min read
The 4.2 second checkout that was costing 18% in conversions, and how we fixed it.
Performance · Conversion
~/iflux/E-Commerce-and-SaaS
~/iflux/E-Commerce-and-SaaS$_audit_revenue_layer.sh
We don't build storefronts. We build revenue infrastructure.
iFlux builds the engineering underneath your store or app: infrastructure that holds up during flash sales and seasonal spikes, checkout that doesn't drop customers at the payment step, inventory numbers that stay accurate under real traffic, and subscription billing that survives upgrades and edge cases without silent revenue leaks.
// a slow checkout is not a UX problem.
// it's a revenue problem.
We treat it like one.
Get in touch →// it's a revenue problem.
We treat it like one.
1s
of added page load time costs up to 7% in conversions. Every second compounds.
// we find those seconds.
68%
of online shopping carts are abandoned. Half those reasons live in the tech layer.
// we fix that half.
10x
more expensive to fix performance at scale than at build time. We build it right first.
// not retrofitted. engineered.
_what we build
/01
E-Commerce Platform Engineering
Shopify, custom, headless: built for the catalogue size, traffic shape, and checkout flow your business actually has. Not the one that fit the template.
/02
SaaS Product Engineering
From zero to one. From one to scalable. Multi-tenant architecture that doesn't become a liability when you hit 10,000 users and need to move fast.
/03
Performance & Conversion Engineering
Speed is a feature. We find the milliseconds your competitors are losing customers to, and take them back. Measurably.
/04
Payment & Checkout Engineering
The most critical 90 seconds in e-commerce. We engineer it like it is: with every edge case, every failure mode, every timeout handled before your user finds it.
/05
Subscription & Billing Systems
Revenue logic is the wrong place for technical debt. We build it clean, auditable, and scalable, so proration, upgrades, and edge cases don't become incidents.
/06
Search & Discovery Engineering
The product your user can't find is the product they don't buy. We build search that understands intent, not just keywords.
/07
Analytics & Revenue Intelligence
Not just dashboards. The data layer that tells you why conversion dropped on Tuesday, before you're still guessing on Thursday.
/08
Integrations & API Ecosystem
Your stack is only as strong as its weakest integration. We map the whole chain, every third-party dependency, every failure mode, then harden it.
Your checkout flow is your highest-paid salesperson. Treat it like one.
// we don't optimise for beautiful.
// we optimise for bought.
_things we'll tell you that others won't
// your real competitor
Your biggest competitor isn't another product. It's your own checkout flow.
The average e-commerce site loses 68% of carts. Most of those reasons live in the tech layer: slow load times, confusing flows, broken edge cases. That's not a marketing problem. It's an engineering one.
// the most expensive sentence
“We'll fix performance later” is the most expensive sentence in product development.
Later arrives when you're at scale. At scale, fixing it costs ten times as much and takes twice as long. We build performance in from the start, not because it's nice to have, but because you can't afford not to.
// saas billing truth
Your SaaS pricing model will break before your architecture does.
Most SaaS teams build the product first and billing logic second. Billing is where growth either compounds or leaks. Undocumented proration logic, untested upgrade paths: these cost you revenue silently before they cost you visibly.
// integration graveyard
Integrations are where good products go to die quietly.
Every third-party integration is a dependency you don't control. Payment gateways, logistics APIs, inventory systems: each one is a failure mode you haven't planned for yet. We map them all before we write the first webhook.
_what a revenue audit looks like
iflux: revenue_layer_audit.sh
~/iflux/E-Commerce $ audit --revenue-layer --assumptions=false
→ Scanning checkout flow performance...
⚠ Average checkout load: 4.2s. Industry benchmark: 1.8s.
⚠ Estimated conversion impact: -18% vs optimised baseline.
→ Analysing cart abandonment triggers...
⚠ Payment step drop-off: 34%. Form friction and error handling identified.
⚠ Mobile checkout flow: 2 extra steps vs desktop. Abandonment 41% higher.
→ Reviewing search relevance and discovery...
⚠ Zero-result searches: 23% of queries. Revenue walking out the door.
→ Checking subscription billing logic...
⚠ Proration logic undocumented. Upgrade edge cases untested in staging.
→ Auditing third-party integrations...
⚠ 3 critical integrations have no fallback on timeout. Silent failures in production.
✓ Audit complete. Revenue recovery priority list generated.
→ Estimated recoverable revenue: significant.
Let's talk specifics.
~/iflux/E-Commerce $ _
// speed as strategy
Speed is a feature. Slow is a pricing strategy for your competitors.
Every 100ms of latency is a micro-decision your user makes about whether to stay. We find those milliseconds, and take them back.
// search sells
The product your user can't find is the product they don't buy.
Search is the highest-intent moment in e-commerce. A user who searches already wants something. We make sure they find it.
_why iFlux for E-Commerce & SaaS
// revenue first
We engineer for outcomes, not outputs.
A feature shipped on time that doesn't convert is a cost, not a delivery. Every Flux on an e-commerce engagement understands that the metric that matters is revenue, and engineers toward it.
// built to scale
We build for the traffic you'll have, not just the traffic you have.
Flash sales, seasonal peaks, viral moments: the worst time to discover your infrastructure can't handle load is when it matters most. We stress-test before you need to.
// full stack ownership
From the database query to the checkout button. We own the whole chain.
Performance problems don't respect layer boundaries. We work across the full stack, so the fix doesn't get lost between frontend and backend teams pointing at each other.
// data-informed
We don't guess at what's losing you revenue. We measure it.
Every engagement starts with an audit. We instrument, measure, and prioritise by revenue impact, so the first thing we fix is the thing costing you the most.
_thinking / E-Commerce & SaaS
5 min read
Why your SaaS billing logic will break at scale, and what to build instead.
SaaS · Billing Systems
7 min read
Search that sells: how intent-aware discovery changes e-commerce revenue.
Search · Revenue Intelligence
_related
Revenue infrastructure runs on data and intelligence. The analytics layer that explains why revenue moved, and the AI layer that personalises the experience that moves it, both connect directly to what we build here.
_frequently asked
How do you prevent a site from crashing during flash sales or seasonal traffic spikes?
We stress-test infrastructure against the traffic shape you will actually see, not just an average day, before a flash sale or holiday peak exposes the gap. That means load-testing checkout, inventory, and payment paths together, since a system that survives high traffic but fails at checkout still costs you the sale. We build for the peak first, then optimize for the everyday case.
Why do e-commerce sites lose so many customers at checkout, and what can be done about it?
The average online store abandons 68% of carts, and most of those reasons live in the tech layer, not pricing or product: slow page loads, confusing flows, unhandled edge cases at the payment step. We treat checkout as the highest-value 90 seconds in the business and engineer it accordingly, mapping every failure mode and timeout before a customer runs into it.
Should we build our store on Shopify, a custom platform, or headless commerce?
It depends on your catalogue size, traffic pattern, and checkout flow, not on which platform is trending. Shopify suits many merchants; headless commerce, where the storefront is decoupled from the backend so each can be built and scaled independently, suits others with complex catalogues or custom experiences. We assess your actual traffic and product data before recommending a path, rather than defaulting to a template.
How do you build subscription billing that doesn't break as we scale?
Most SaaS (software delivered and paid for as an ongoing subscription rather than a one-time purchase) teams build the product first and billing logic second, which is backwards, since billing is where growth compounds or quietly leaks. We build proration, meaning the prorated charge or credit when a customer upgrades or downgrades mid-cycle, along with upgrade paths and edge cases, as clean, auditable, tested logic from day one.
What's different about how iFlux approaches e-commerce and SaaS engineering compared to a typical dev shop?
We don't build storefronts, we build revenue infrastructure. Every engagement starts with an audit that measures where revenue is actually being lost, whether in page speed, checkout, search, or billing, and prioritizes fixes by revenue impact rather than guesswork. We also work across the full stack, from the database query to the checkout button, so problems don't get lost between frontend and backend teams pointing at each other.
Your stack is either compounding your growth, or capping it.
Let's find out which.
// we start with an honest revenue audit.
// we tell you what's costing you and what it's worth fixing.
// then you decide. no pressure. no pitch deck.