Conversion Research Sprint
Funnel analysis, session replays, heatmaps, on-site polls and user tests across your top revenue templates. Output is a ranked list of friction points with revenue attached.
Singapore
Conversion Rate Optimisation in Singapore
A structured test programme run per market, because a Singapore conversion rate and a Malaysian one are two different numbers with two different causes.
Delivered remotely for brands across Singapore and Singapore.
Grow · Singapore
Why Singapore brands come to us for this
- Conversion rate reported and optimised per market, never as one blended Southeast Asian number
- Delivered-price and duty clarity tested on the product page, where the cross-border abandon decision is actually made
- Payment method ordering treated as a live test — PayNow and local wallets at home, different rails in every neighbouring market
- Free-shipping thresholds set per market against real landed cost instead of one global number
- Bundle, subscription and provenance messaging tested against the marketplace comparison the buyer is running in another tab
The single most useful thing we do for a Singapore store in the first month is stop reporting one conversion rate. A blended figure across Singapore, Malaysia, Indonesia and Australia hides everything worth knowing: the domestic rate is usually healthy because delivery is next-day and the payment method is familiar, and the cross-border rate is usually poor for reasons that have nothing to do with your product page. Split the number by market and the roadmap writes itself, because the gaps point straight at shipping cost, delivery promise, payment mix and duty clarity rather than at button colour.
The second Singapore-specific leak is the comparison the buyer is running in another tab. Almost every visitor has the option of buying something similar on Shopee, Lazada or TikTok Shop, often cheaper, often with free shipping bundled into the price. Your store is not going to win that comparison on price and should not try. It wins on the things the tile cannot show — bundle value, subscription convenience, provenance and formulation detail, a returns promise that is actually readable, and a reason to trust a brand rather than a listing. Those are all testable claims, and most Singapore stores have never tested any of them.
Then the mechanics. Research first: analytics segmented by market and device, session recordings on the cross-border journeys specifically, checkout drop-off by payment method, and customer interviews with recent buyers and recent abandoners. Then a prioritised backlog scored on impact, confidence and effort, tests run to significance or called honestly, and every result written up including the losers. On stores where domestic traffic alone will not reach sample size in a sensible timeframe, we say so and shift to sequential and qualitative methods rather than pretending an underpowered test told us something.
Local context
Shipping cost and duty clarity are the biggest levers here
In a domestic-only market, the classic conversion levers are the product page and the cart. In a Singapore business selling across four countries, the two biggest levers are usually shipping and tax transparency at the moment of decision. A Malaysian or Australian buyer abandoning at the shipping step is not confused by your layout; they have just discovered a freight cost they did not expect, or they cannot tell whether a customs charge is waiting at the door. So we test delivered-price display on the product page rather than the cart, thresholds for free shipping set per market at a level the margin actually supports, duty-inclusive checkout where Markets can handle it, and a delivery estimate that says a real date. We also test the payment mix as a conversion variable — PayNow and local wallets for Singapore buyers behave nothing like the method preferences of a buyer in Kuala Lumpur, Jakarta or Sydney, and the ordering of methods at checkout is a test, not a setup task.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Singapore brand’s realities.
Full service detailPrioritised Test Roadmap
Every hypothesis scored on impact, confidence and effort, with the projected revenue and required sample size stated up front. You always know what runs next and why.
Experiment Build & QA
Tests built and QA'd across devices, browsers and your app stack, with flicker-free rendering and no measurable hit to Core Web Vitals.
Statistical Analysis
Pre-declared sample sizes, sequential-testing guardrails and segment-level readouts by device, traffic source and new versus returning. No peeking, no calling a test at 80%.
Checkout & Cart Optimisation
Cart drawer, shipping thresholds, payment options, express checkout placement and post-purchase upsell, tested against AOV and revenue per session rather than clicks.
Monthly Programme Report
Tests run, results in full, cumulative revenue impact and what the results taught us about your customers. Losers are reported in the same detail as winners.
Scoped and quoted for your Singapore store
We do not work off a rate card. Every Singapore engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
Measure
We instrument the funnel properly first. Most stores have broken or double-counted events, and you cannot optimise against numbers you cannot trust.
Research
Quant tells us where visitors leave. Qual tells us why. We combine analytics, replays and direct customer input before writing a single hypothesis.
Prioritise
Hypotheses are scored and sequenced so the highest-value, lowest-effort tests run first. The roadmap is shared and you can reorder it.
Test
Two to four concurrent experiments depending on traffic, each run to a pre-declared sample size. No test gets stopped early because it looks good on day three.
Implement & Compound
Winners get hard-coded into the theme, losers get documented, and every result feeds the next round of hypotheses. The programme gets smarter each month.
Proof
Conversion Optimisation results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Premium Skincare (DTC)
8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)
Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.
+41%mobile conversion rate1.62% to 2.28% over the first 90 days post-launch
5.4s → 1.8smobile LCP75th-percentile CrUX field data, not lab
+27%organic sessionssix months post-migration vs. pre-migration baseline, branded queries excluded
$108k/yrplatform cost removedhosting, extension licences and the standing emergency dev retainer
Performance Apparel (DTC)
~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus
Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
In their words
Clients on this work
CVR 1.9% → 2.7%
“We'd been running our own tests for a year and calling every 3% swing a win. The first thing they did was tell us our sample sizes were garbage, which was not a fun call to sit through. Six months later we're getting wins that actually hold up when you re-measure them. Sitewide CVR went from 1.9% to 2.7%.”
Founder & CEOApparel DTC brand, ~$12M/yr · Los Angeles, CA
Verified client, 2025FAQ
Conversion Optimisation in Singapore — your questions
Sometimes yes, often no, and the honest answer depends on your order volume rather than your session count. Where a test would take four months to reach significance, running it anyway just produces a confident-sounding guess. In those cases we use research, session replay, customer interviews and before-and-after implementation of high-certainty fixes, and we reserve formal testing for the pages where your traffic genuinely supports it.
Convert, and round the prices. A Malaysian buyer looking at SGD is doing mental arithmetic while deciding whether to trust you, and a converted price ending in an ugly decimal reads as a machine rather than a shop. Shopify Markets can hold per-country price lists with sensible rounding, and in our experience the rounding matters nearly as much as the conversion — it is the difference between a considered local price and an obvious FX output.
For Singapore buyers it usually helps, because it removes card entry on a phone, which is where a meaningful share of mobile abandonment lives. What matters more than adding it is where it sits — a method buried below three card logos does very little. We test the ordering and prominence of methods per market as its own experiment, since the winning arrangement in Singapore is rarely the winning arrangement for a buyer in Jakarta.
The programme is asynchronous by design and that suits CRO better than most services. Test briefs, hypotheses, sample-size calculations and readouts are all written documents you review in your morning, and the tests themselves run on your traffic regardless of the clock. Our weekly call sits at the edge of both days for decisions, and no experiment is ever paused waiting for a meeting.
Around 40,000 sessions and 800 orders a month is where a testing programme becomes statistically viable. Below that, tests take months to reach significance and you are better served by research-led redesign work and analytics fixes. We will tell you honestly which bucket you are in.
The first test goes live in week three, after research and instrumentation. Meaningful cumulative impact typically shows around month four, once six to ten tests have run. CRO is a compounding programme, not a one-month fix, and anyone promising otherwise is selling best practices.
Some do, and that is normal. A loser is still information: it rules out a hypothesis and sharpens the next one. We report losses in the same detail as wins because a programme that only ever produces winners is one that is not being measured properly.
Next step
Conversion Optimisation for your Singapore brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.