More revenue from the traffic you already have.
Acquisition costs are rising. The most efficient way to grow revenue is to convert more of the traffic you're already paying for. We run conversion rate optimisation programmes for e-commerce stores — identifying friction in the buying journey through data analysis and session recordings, forming specific hypotheses, A/B testing them, and implementing the winners. No guessing, no generic best practices: your data, your customers.
Conversion rate optimisation is the highest-return growth activity available to any e-commerce store with established traffic — improving conversion by 30% costs a fraction of increasing paid traffic by the same percentage. Origin Softwares runs data-led CRO programmes: funnel analysis and session recording first, specific hypotheses formed from evidence, A/B tests run to statistical significance, and winners shipped within two weeks of confirmation. No generic best practices, no testing theatre — measurable revenue improvement from the traffic you already have.
What is e-commerce conversion rate optimisation?
E-commerce conversion rate optimisation (CRO) is the process of increasing the percentage of website visitors who complete a purchase, using behavioural data and controlled testing rather than opinion or generic best practices. It starts with diagnosing why visitors are not converting — through funnel analysis, session recordings, heatmaps, and checkout drop-off data — then forming specific hypotheses, testing them through A/B or multivariate tests, and implementing the variants that win. Origin Softwares runs CRO programmes with a 95% statistical confidence threshold on every test, and winning variants are shipped within two weeks of confirmation rather than sitting in a report. Every hypothesis is formed from your store's actual data, not a checklist.
The problems this solves
- High traffic but low conversion rate with no clear understanding of where visitors are abandoning the buying journey
- Expensive paid acquisition becoming less profitable as CPCs rise, making conversion improvement critical to maintaining ROAS
- Mobile checkout abandonment significantly higher than desktop with no diagnosis of the specific friction causing it
- Product pages that generate add-to-cart actions but high cart abandonment before checkout initiation
- Checkout flow with too many steps or missing guest checkout causing abandonment at the final stage
- A/B tests run without statistical rigour producing false winners that don't hold in production
Business outcomes
- 35% average conversion rate improvement across CRO clients — measured revenue increase from the same traffic
- Checkout-specific improvements identified and shipped within two weeks of winning test results
- Mobile conversion gap closed through specific mobile UX improvements informed by session recording analysis
- Cart abandonment reduction through targeted interventions at the specific drop-off point identified in funnel analysis
- Paid acquisition efficiency improved: the same ad spend generates more revenue as conversion rate rises
- Cumulative test wins documented in monthly reporting so programme ROI is always visible to stakeholders
Who is this for?
Stores with Established Traffic
E-commerce businesses with at least 10,000 monthly sessions where conversion improvement will generate meaningful revenue return on the programme investment.
High-Spend Acquirers
Brands spending heavily on paid social and search who need conversion improvement to maintain profitable ROAS as CPCs continue to rise.
Mobile-First Brands
Stores where mobile traffic is the majority but mobile conversion is significantly lower than desktop — a common gap with high CRO potential.
Post-Rebuild Businesses
Stores that recently launched a new platform or theme and want systematic CRO to optimise the new build against real user behaviour.
Subscription and High-LTV Brands
Businesses selling subscriptions or high-margin products where even small conversion rate improvements compound significantly into lifetime revenue.
Category Leaders
Established e-commerce businesses that have optimised their acquisition channels and need conversion improvement as the next lever for growth.
When E-Commerce CRO & Performance may not be the right fit
We'd rather tell you upfront than waste your time and budget.
- Your store has fewer than 5,000 monthly sessions on the pages being tested — traffic is too low for A/B tests to reach statistical significance in a reasonable timeframe.
- You want immediate results within two to four weeks — CRO is a programme, not a one-time fix, and the highest-impact changes typically emerge from several test cycles.
- Your conversion problem is primarily a product-market fit issue, not a UX issue — CRO cannot fix a catalogue that buyers don't want.
- Your checkout is on a platform like Shopify standard where significant checkout flow changes are not possible without upgrading to Shopify Plus.
What's included
- Full funnel analysis: sessions, add-to-cart, checkout initiation, purchase
- Session recording review for friction identification (Hotjar, FullStory)
- Heatmap and click analysis for PDP and checkout pages
- A/B test design, implementation, and statistical analysis
- Page speed audit and Core Web Vitals improvement
- Checkout flow simplification and guest checkout optimisation
- Product page redesign for conversion: hierarchy, trust, and urgency
- Mobile checkout optimisation for thumb-zone and autofill improvement
How we deliver
Data Audit & Funnel Analysis
Diagnose where visitors are dropping out of the buying journey using analytics, session recordings, and heatmaps.
- Full funnel analysis: session → product view → add to cart → checkout → purchase
- Session recording review of checkout abandonment and product page behaviour
- Heatmap and click analysis on highest-traffic pages
- Annotated funnel report with specific drop-off hypotheses
Hypothesis Prioritisation
Form specific, testable hypotheses from the data and prioritise by potential impact and test cost.
- Hypothesis backlog built: specific change, expected mechanism, predicted impact
- Each hypothesis ranked by potential uplift and test complexity
- Test plan produced with sample size calculations
- Client review and prioritisation of the first test batch
Test Design & Implementation
Design test variants, implement in testing tool, and launch with correct traffic allocation.
- Variant designed to test the specific hypothesis only
- Test implemented in VWO or AB Tasty with correct traffic split
- Tracking verified: conversion events firing correctly
- Test launched with minimum required sample size confirmed
Analysis & Implementation
Analyse completed tests, confirm statistical significance, and implement winners.
- Test results analysed at target sample size — no early stopping
- Statistical significance confirmed at 95% confidence threshold
- Winner implemented in production within two weeks
- Monthly report updated with test outcome and cumulative revenue impact
Ongoing Programme
Continuous testing cycle with quarterly roadmap review and updated hypothesis backlog.
- Next hypothesis batch prioritised from updated backlog
- Quarterly roadmap review with client
- New data sources reviewed for emerging friction points
- Annual CRO audit to reset priorities based on current performance
How long does it take to see results from a CRO programme?
First findings — where your visitors are dropping out and what's likely causing it — come within two weeks of the analytics and session recording audit. Test results depend on your traffic volume. At 50,000 monthly sessions, a test on the checkout page typically reaches statistical significance in three to four weeks. At 10,000 sessions per month, the same test takes two to three months to reach significance. Origin Softwares calculates required sample size before every test and communicates the expected timeline upfront. If your traffic is below the threshold for reliable A/B testing, we use qualitative methods — session recordings and expert UX review — and implement high-confidence changes that don't require controlled testing to validate.
Technologies we use
- Google Analytics 4
- Hotjar
- FullStory
- VWO
- AB Tasty
- Google Optimize
- Lighthouse
- Chrome DevTools
- Klaviyo
Architecture & scalability
- A/B testing tools must be configured to avoid flicker — the test variant should render before the user sees the control to prevent a visible flash of the original version
- Sample ratio mismatch is a common test validity issue — traffic allocation must be monitored weekly to ensure the test split is being maintained correctly
- Checkout testing on Shopify standard has limited scope — significant checkout flow changes require Shopify Plus and Shopify Functions
- Page speed impact of testing scripts must be managed — async loading and script deferral are required to prevent CRO tools from degrading the Core Web Vitals scores they are meant to improve
- Interaction effects between simultaneous tests can produce misleading results — tests on the same funnel stage should be run sequentially, not in parallel
CRO Programme Approaches
| Criterion | Data-led (Origin Softwares) | Best Practice Checklists | Agency A/B Testing Only |
|---|---|---|---|
| Hypothesis source | Behavioural data and session recordings | Generic industry recommendations | Often opinion-based hypotheses |
| Test validity | 95% confidence threshold | No controlled testing | Variable — often stopped early |
| Implementation speed | Winners shipped within 2 weeks | All changes at once | Report delivered, no implementation |
| Reporting | Monthly report with revenue impact | No attribution to specific changes | Test results only, no revenue tracking |
Why choose Origin Softwares
Our approach
- Every hypothesis formed from your store's actual data — funnel analysis, session recordings, and heatmaps — before any test is designed
- 95% statistical confidence threshold on all A/B tests — tests are not stopped early because a winner 'looks obvious'
- Winning variants are implemented within two weeks — not left in a report for the roadmap to pick up later
- Full funnel visibility: we track the impact of every change from session through to purchase, not just on the tested page
- Mobile-specific CRO expertise: mobile checkout friction has different causes than desktop and requires separate testing
Delivery standards
- Funnel analysis report delivered in week two with annotated drop-off points and prioritised hypothesis backlog
- Sample size calculations completed before every test — no tests begin without a confirmed significance threshold
- Monthly testing report covering active tests, completed tests, winners, losers, and cumulative revenue impact
- Winning variants implemented within two weeks of reaching statistical significance
- Quarterly CRO review with updated roadmap based on completed tests and new data
Quality assurance
- A/B test implementation reviewed in staging before activation to verify variant renders correctly on all devices
- Test tracking verified: conversion events confirmed firing correctly before test goes live
- Sample ratio mismatch checked weekly during active tests to detect allocation errors
- Winner implementation QA'd cross-device before shipping to production
- Post-implementation conversion rate monitored for two weeks to confirm the winning variant holds at full traffic
Security practices
- A/B testing scripts loaded asynchronously to prevent blocking page render and affecting Core Web Vitals
- No customer personal data collected through testing tools beyond what is already collected by the store
- Session recording tools configured to mask payment fields and personal data in compliance with GDPR and DPDP Act
- Testing tool access restricted to named team members with role-based permissions
Performance
- Page speed impact of every test variant measured before activation — A/B tests must not degrade Core Web Vitals
- LCP and checkout load time tracked as primary performance metrics alongside conversion metrics
- Testing script load deferred to prevent impact on LCP on product and collection pages
- Core Web Vitals reviewed before and after every winning variant is implemented to confirm no regression
- Site speed improvement included as a CRO lever — page load time reduction is often the highest-impact test
What you receive
- Funnel analysis report with annotated drop-off points and session recording insights
- Prioritised hypothesis backlog ranked by potential impact and test difficulty
- A/B test plan with sample size calculations and confidence threshold for each test
- Monthly testing report with results, winners, losers, and cumulative revenue impact
- Implementation of winning variants within two weeks of significance
- Quarterly CRO roadmap review
Support tiers
- CRO Programme (monthly): Ongoing hypothesis testing, implementation of winners, and monthly reporting
- One-time Audit: Funnel analysis, session recording review, and prioritised recommendation report without ongoing testing
- Performance Sprint: Focused page speed and Core Web Vitals improvement programme with before/after measurement
Why Origin for E-Commerce CRO & Performance
Data-first diagnosis before any recommendations
We don't arrive with a list of 'best practice' changes. We spend the first two weeks in your analytics and session recordings finding where your specific customers are dropping out and why — before making a single recommendation.
Statistical rigour — tests run until significance
We calculate required sample size before every test and run until we reach it. Stopping a test early because the winner 'looks obvious' is how you implement changes that don't hold. Every winner is validated at 95% confidence.
Winning variants are implemented, not just reported
Most CRO programmes produce reports. Ours produce shipped code. When a test wins, the implementation happens within two weeks — not six weeks later when the roadmap has moved on.
Industries we serve
Typical delivery timeline
| Phase | Duration | What happens |
|---|---|---|
| Data Audit | 1–2 weeks | Funnel analysis, session recording review, and annotated drop-off report with hypothesis backlog. |
| Test Planning | 1 week | Hypothesis prioritisation, sample size calculations, and test plan produced and agreed. |
| Active Testing | Ongoing (3–8 weeks per test) | Tests run until statistical significance is reached — timeline depends on traffic volume. |
| Implementation | Within 2 weeks of significance | Winning variants shipped to production and conversion rate monitored to confirm the result holds. |
| Quarterly Review | Every 3 months | CRO roadmap updated, new data sources reviewed, and next quarter's test priorities set. |
Before you start — a checklist
Use this to prepare for your first conversation with us.
- Start with a CRO programme if your traffic is over 10,000 monthly sessions and your conversion rate is below the industry average for your category
- Prioritise CRO over increased ad spend if your ROAS is declining — improving conversion is more sustainable than bidding more for the same traffic
- Use qualitative methods (session recording, expert UX review) if your traffic is too low for reliable A/B testing — the insights are valid even without controlled tests
- Consider a performance-first sprint if your site speed is significantly below industry benchmarks — page load improvement is often the highest single CRO lever available
- Run a one-time audit if you are not ready for an ongoing programme but want to understand your biggest conversion opportunities before investing further
Maintenance & support
- Ongoing CRO programme: monthly testing cycles, implementation of winners, and reporting
- Quarterly roadmap review: updated hypothesis backlog and priority setting based on current data
- Performance monitoring: Core Web Vitals and page speed tracked monthly with alerts for regressions
- Annual CRO audit: full funnel analysis refresh and updated priority ranking as the store and its traffic evolve
“We knew we had a checkout problem but didn't know what was causing it. Origin found that 34% of our mobile users were abandoning at the payment step because our card field wasn't triggering the right keyboard. Fixed in two hours, conversion up 12% on mobile. That's what data-led CRO looks like.”
Frequently asked questions
Planning & scope
- How do we know which pages to test first?
- Funnel drop-off analysis identifies the pages with the largest absolute number of abandoned sessions — those are the highest-priority testing targets because even a small percentage improvement generates a large absolute session gain. Checkout initiation to purchase completion is almost always the first area: it has high abandonment and high conversion value per session. Product pages are usually second, followed by collection pages.
- What traffic volume do we need for A/B testing to be meaningful?
- You need enough sessions on the specific page being tested to reach statistical significance within a reasonable timeframe. As a practical guideline, 5,000 monthly sessions on the tested page is the minimum for a test to reach significance within 60 days. Below that, tests take too long to be operationally useful. We'll calculate the exact required sample size for every test before it launches.
- How does CRO work alongside paid advertising?
- CRO and paid advertising are complementary: paid advertising increases traffic volume, CRO improves the return on that traffic. When you improve your conversion rate, every pound or rupee spent on paid acquisition generates more revenue. The optimal approach is to run both simultaneously — CRO work makes paid advertising more efficient immediately, while advertising drives the traffic volume needed to reach A/B test significance faster.
Technical
- How do you prevent A/B test tools from slowing the page down?
- Testing scripts are loaded asynchronously and deferred where possible. We measure the LCP impact of the testing tool before activating any test and confirm it is below 50ms — if it's higher, we optimise the implementation. Flicker prevention (showing the test variant before the user sees the control) is implemented correctly so users never see a flash of the original version before the test variant loads.
- Can we test checkout on Shopify?
- On standard Shopify plans, checkout customisation is limited — you can change some content and styling but not the step flow or form fields. Shopify Plus unlocks checkout extensibility via Shopify Functions and checkout UI extensions, which allows significant checkout flow changes. If checkout testing is your priority and you're on standard Shopify, upgrading to Plus is worth evaluating on the basis of the potential conversion improvement.
- How do you attribute revenue improvement to specific CRO tests?
- Each test has a primary conversion metric (purchase rate or checkout initiation rate) measured directly in the testing tool. We also track downstream impact — if a product page test increases add-to-cart rate, we verify this translates to purchase rate improvement, not just a higher cart abandonment rate. Monthly reports show cumulative revenue lift calculated from the conversion rate difference applied to actual traffic volume.
Engagement & process
- Is CRO a one-time project or an ongoing programme?
- CRO is most effective as an ongoing programme. Each test produces a learning — what works, what doesn't, and what to test next. A one-time audit gives you a prioritised list of hypotheses, but without testing and implementation, the audit doesn't generate revenue. The minimum useful engagement is a three-month programme covering audit, two to three tests, and implementation of winners. After that, many clients continue on a monthly retainer.
- Who implements the winning variants — us or Origin?
- We implement winning variants as part of the programme. The two-week implementation commitment is a core part of our CRO service because delayed implementation means revenue left on the table. If you prefer to implement in-house, we provide precise specifications — device-specific designs, copy changes, and technical requirements — so your team can implement without ambiguity.
- Can you run CRO on a WooCommerce or headless store, not just Shopify?
- Yes. The testing tools (VWO, AB Tasty) are platform-agnostic JavaScript implementations that work on any e-commerce stack. The scope of what can be tested differs by platform — headless gives the most flexibility, WooCommerce is flexible with access to the theme code, and Shopify standard has checkout limitations. We adapt the test plan to what's technically testable on your specific stack.
What results should you expect from a CRO programme?
Realistic outcomes depend on where your current conversion rate sits relative to your category and how much friction exists in your current checkout and product pages. Stores with obvious friction — long checkout flows, missing trust signals, slow load times, or a mobile keyboard not triggering on card fields — can see 15–30% improvement within the first quarter. Stores that are already reasonably optimised see 5–15% incremental improvement through systematic testing. Origin Softwares averages 35% conversion rate improvement across CRO clients, though individual results vary based on starting point. We track every test outcome and report on cumulative revenue impact monthly so the programme's return is always measurable.
Related services
Web Development
New page templates and checkout flow improvements implemented as part of CRO winner rollout on any platform.
Custom Software Development
Custom checkout extensions and A/B testing infrastructure for headless commerce stores with advanced testing requirements.
Digital Marketing
Paid acquisition and SEO strategy that works alongside CRO — more traffic makes tests reach significance faster and maximises revenue from conversion improvements.
UI/UX Design
UX design for test variants that require layout or visual design changes beyond copy and element adjustments.
AI & Cloud
AI-driven personalisation and product recommendations that extend CRO beyond site-wide tests to individual-level conversion optimisation.
Not sure where to start?
Share your current conversion rate and traffic volume — we'll tell you what's achievable and how quickly.
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