Tracking Audit & Reconciliation
A full event inventory across GA4, Meta, Google Ads, Klaviyo and Shopify, reconciled against order data to quantify exactly where and how much data is lost.
Singapore
Analytics, Tracking & Data in Singapore
Server-side tracking, clean GA4 and reporting that shows contribution margin per market instead of one blended regional number.
Delivered remotely for brands across Singapore and Singapore.
Scale · Singapore
Why Singapore brands come to us for this
- One reconciled source of truth across SGD, MYR, IDR and AUD orders instead of four dashboards disagreeing
- Contribution margin reported per market with freight, payment fees, duties and returns attached to each order
- Server-side tracking and Conversions API with regional phone and address formats normalised so match quality holds up cross-border
- Consent handling built once against PDPA expectations and the other markets you sell into, not patched country by country
- Festive and double-date peaks isolated in reporting, so a 12.12 spike does not distort your baseline for the next quarter
Put last week to three dashboards and a Singapore store gets four different answers back, and the multi-currency layer adds a fifth problem the domestic version does not have. Orders arrive in SGD, MYR, IDR and AUD; Shopify reports in your store currency at the rate at the time of sale; GA4 may be converting differently; your ad platforms report in their own account currency; and by the time a spreadsheet reconciles them nobody trusts any of it. Before anything else, we make one number the truth and make everything else reconcile to it.
Then the standard measurement rebuild, which is not optional for anyone spending money on media: server-side collection through a first-party endpoint, a Conversions API feed running at genuine match quality, a GA4 event schema documented so events mean the same thing in six months, and consent handling wired to your CMP rather than assumed. Cross-border checkout makes match quality harder here — regional phone formats, addresses without a state field, and payment methods that leave thinner identity data than a card — so parameter normalisation is real work rather than a checkbox.
The reporting layer is where a Singapore brand gets the most value, because the decisions that matter are per-market decisions and almost nobody has the data to make them. Revenue per market is easy. Contribution margin per market is not, and it is the number that tells you whether Indonesia is a growth story or an expensive experiment: order value, discount, payment fees that differ by method and country, freight, duties, returns and the media cost of acquiring that specific market. We build reporting that carries all of it, so the question of where to invest next is settled with arithmetic.
Local context
The number you need is contribution per market, and nobody has it
Almost every Singapore brand we meet can tell you their blended ROAS and almost none can tell you what an Indonesian order is worth after freight, payment fees and returns. That gap is expensive, because the markets around Singapore differ far more in cost-to-serve than they do in headline conversion rate. A domestic order ships next-day at low cost through a familiar payment method; a cross-border order carries international freight, longer transit, higher failure and dispute rates on some regional payment rails, and possible duty exposure depending on destination thresholds. Reported side by side on revenue, those orders look comparable; reported on contribution, they frequently are not. So we build the data model with market, currency, payment method, shipping cost and return status attached to every order, reconcile it to Shopify's own figures, and present the per-market view as the default report rather than a special request. Consent handling is the other local piece: Singapore's PDPA framework and the varying consent expectations of the other markets you sell into both live in the same tag configuration, and it needs to be built once, properly, rather than patched per country.
Scope
What Analytics & Data includes
The same standard of work we run for every client — applied to a Singapore brand’s realities.
Full service detailServer-Side Tracking
Server-side GTM on a first-party subdomain, resilient to ad blockers and ITP, with deduplication between browser and server events done properly.
Conversions API Integration
Meta CAPI, Google Enhanced Conversions and TikTok Events API with hashed identifiers, targeting event match quality of 8 or above.
GA4 Event Schema
A documented, consistent eCommerce event and parameter specification across every surface, so reports mean the same thing in six months as they do today.
Consent Mode & Privacy
Consent mode v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional compliance handled correctly.
Executive Reporting Layer
One dashboard for blended MER, contribution margin, cohort LTV, new-versus-returning revenue and channel payback. Reconciled to Shopify, refreshed daily.
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
Audit & Quantify
We measure the gap between platform-reported and actual orders per channel. Most stores we audit are losing 15-30% of conversion signal before we start.
Specification
A written measurement plan: events, parameters, identifiers, consent states and destinations. Signed off before implementation begins.
Implement
Server-side container, CAPI, enhanced conversions and consent mode built in a staging environment and validated event by event.
Validate
Order-level reconciliation against Shopify for a full week, plus match-quality checks in each platform. We do not sign off on a screenshot of a tag firing.
Report & Maintain
Dashboards built, team trained, and monitoring in place to alert on event volume anomalies before someone spots them in a monthly report.
Proof
Analytics & Data results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Consumer Electronics & Accessories
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
In their words
Clients on this work
GA4/Shopify gap 14% → under 2%
“Paid audit, and worth every dollar. Forty pages on where our measurement was lying to us — duplicate purchase events, CAPI never configured, GA4 and Shopify off by 14% — each one ranked by the revenue it was hiding. No pitch deck at the end. We fixed six of the items ourselves before we ever signed a retainer.”
FounderHome goods brand, ~$3M/yr · Denver, CO
Verified client, 2026FAQ
Analytics & Data in Singapore — your questions
It is a common contributor for a multi-market store, alongside the usual suspects of missing consent, ad blockers and duplicate purchase events. GA4 and Shopify can be applying different conversion treatments to the same non-SGD order, which produces a persistent gap that no amount of tag debugging explains. We check currency handling first for cross-border stores because it is both frequent and invisible, then work through the standard causes.
As an order-level cost attached to the destination market, not as a lump in your monthly overheads. Freight and any duty you absorb vary enormously between a domestic Singapore delivery and a parcel to Indonesia, and averaging them across all orders hides exactly the difference you need to see. Once they sit on the order record, market-level contribution becomes a report rather than a quarterly spreadsheet exercise.
Practically, it means consent and data handling need to be deliberate rather than inherited from a template built for another jurisdiction, and that your tag configuration should respect the consent state you actually captured. We implement consent mode against your CMP, keep the tag behaviour consistent with the choice a visitor made, and document what is collected. Where the question is whether a specific practice is lawful for your business, that is one for your legal advisor rather than us.
Yes, and it is one of the services least affected by the time gap. The work is specification, implementation and verification — a documented event schema you review in writing, staging validation you can check with your own eyes, and recorded walkthroughs of the final setup. Our fixed weekly call at the edge of both working days handles the decisions that genuinely need a conversation.
Browser tracking loses 15-30% of conversions to ad blockers, ITP and consent rejections. Server-side sends events from your own infrastructure, which recovers most of that signal. Better signal means better algorithmic bidding, so it usually pays for itself in media efficiency within a quarter.
Four to six weeks for a typical Shopify store, including the validation week. Complex setups with subscriptions, multiple markets or a headless front end run six to ten. The audit and specification phase takes about a third of that and is the part that determines quality.
Yes. We use Shopify's Web Pixels API and customer events for checkout tracking, which is the supported path since checkout.liquid was retired. Order-level data comes through the server side, so checkout tracking no longer depends on scripts Shopify will not let you inject.
Next step
Analytics & Data 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.