Web Analytics · Singapore
Stop Guessing What's Actually Working.
GA4, tag management, event taxonomy, and conversion tracking built to give you confident answers about what's driving pipeline. Foundational analytics work that makes every downstream report defensible to finance, sales, and leadership.
The Problem
The B2B Web Analytics Problem
These aren't measurement problems. They're decision problems. And they're costing every campaign that runs on broken data.
Your GA4 Was Migrated, Not Implemented
Universal Analytics sunset. Someone clicked through the GA4 migration wizard. Property created, basic tags installed, done. Twelve months later, events fire inconsistently, key conversions aren't tracked, the data layer is a fragment of what it should be. You're making decisions on numbers nobody validated, in a tool nobody on the team actually configured.
Tag Management Is a Wild West
GTM has 80 tags. Half were added by an agency two vendors ago. Triggers fire on the wrong pages. Dead tags slow the site down. Nobody owns the workspace. When something breaks, nobody knows where to look. Every campaign launch involves an emergency tag fix in production.
The Numbers Are There. Nobody Trusts Them.
Finance challenges every metric. Marketing can't defend the attribution. Sales says the leads aren't real. Leadership asks "what's working?" and the team spends a week reconciling three different versions of the same number. Reports get sent because they have to. Decisions still happen on gut.
Enterprise B2B Brands We've Built Analytics For
The Method
How Web Analytics Implementation Runs
Four phases, sequenced so the foundation is right before any dashboard gets built. Depth scales to the engagement, but the sequence stays constant.
Proven Results
Web Analytics in Numbers
Real outcomes from analytics implementation engagements across enterprise B2B clients in Singapore and Southeast Asia.
Enterprise B2B GA4 implementations and migrations shipped.
Building analytics programs in Singapore and Southeast Asia.
Multi-region GTM deployments shipped with documented governance.
Industries served including tech, finance, healthcare, education, and government.
Client Results
Analytics Work That Performed
Real outcomes from GA4 implementation, GTM governance, and attribution work for enterprise B2B clients in Singapore and Southeast Asia.
IMDA — Sophisticated Event Tracking and Real-Time Dashboards for a Government Site
Challenge
IMDA could not see how visitors actually engaged with its site. Without a proper measurement layer, the team was reporting page views, not behaviour, and had no way to tell which content and journeys were working. For an organisation that needed to demonstrate the reach of its programmes, the absence of analytics visibility was the real problem, not the traffic.
Approach
We designed a GA4 tracking framework with event tracking mapped to the engagement that mattered, then built real-time dashboards that surfaced performance by channel and journey in a format a non-specialist team could read and act on day to day.
NUS Executive Education — Conversion Tracking That Drove a 39X Surge
Challenge
NUS Executive Education's OEP Programmes were spending into a blind spot: fragmented processes, niche audiences, and tight budgets, with no clear view of which conversions were real or what they were worth. Every dollar had to be justified, but the measurement to justify it wasn't there.
Approach
We rebuilt the measurement engine first, attribution and conversion tracking, before adding spend. Once each conversion's true value was visible, budget could be reallocated to the audiences, channels, and creative actually earning their place.
Why Construct Digital
Why Our Analytics Holds Up
B2B measurement fragmented into vendors, dashboards, and silos. The agency that built the site rarely owned whether you could measure it, so tracking became someone else's afterthought. Construct Digital was built the other way: the team that designs the measurement is accountable for whether the numbers hold up, not just for shipping a dashboard. We start at the data layer, where the trust is won or lost, not at the report.
We Build the Foundation, Not Just the Dashboards
Most analytics agencies start with the dashboard. We start with the data layer. A pretty dashboard built on broken tracking is just a faster way to make bad decisions. We fix the foundation first, then everything downstream actually works.
Native B2B Context
We design event taxonomies for B2B reality: long sales cycles, multi-touch attribution, account-level tracking, content-led nurture, and the handoff between marketing-qualified and sales-qualified. We've done this for tech, finance, government, and healthcare enterprises. The patterns transfer.
Tag Governance Built In
Every GTM workspace we build has a documented governance model: who can publish, what the review process is, how new tags get added, how dead tags get retired. Your team can own the workspace after handover. No more agency lock-in on the tag layer.
Platform-Agnostic by Design
GA4, Google Tag Manager, Looker Studio, BigQuery, Power BI, HubSpot, Salesforce, and the ad platforms that feed them. We work with the stack you have and recommend changes only when the existing tool genuinely can't do what your business needs.
Documented and Auditable
Every event mapped. Every conversion defined. Every change versioned. Your team can audit the workspace at any time. Your agencies can extend it without breaking it. Compliance audits become reports, not fire drills.
Honest About What Analytics Can and Can't Tell You
B2B attribution is messy. Long cycles, dark social, offline conversations. We build the cleanest measurement model the data will support, name the limits clearly, and don't pretend single-source attribution gives you certainty it doesn't. Better to know what you don't know than to report numbers that quietly lie.
Engagement Model
Three Engagement Shapes
Web Analytics is sold as a discrete service. Engage at the depth that fits the gap. What you pay for is the thinking, the event model, the conversion logic, the attribution design; the build and QA underneath run AI-native, so the implementation comes faster and without the per-hour markup most agencies bill as the tracking plan grows.
Audit Only
Diagnose where the tracking is broken. Full audit of GA4 and GTM against B2B best practice. Output: Gap Map, prioritised fixes, an honest read on where data is reliable. 2–3 weeks. Works as a standalone diagnostic or a precursor to a full implementation.
Full Implementation
Foundation to dashboard. Everything in Audit, plus: event taxonomy designed to your pipeline stages (MQL, SQL, opportunity, closed-won), conversion architecture, GTM workspace rebuild, GA4 configuration with audiences and custom dimensions, a Looker Studio (or preferred BI) dashboard layer, and a documented tag-governance handover so your team owns the workspace. 4–8 weeks. Every event validated in real conditions before sign-off.
Analytics Retainer
Ongoing optimisation and reporting. Quarterly health checks, new event additions, dashboard updates, attribution model evolution, and monthly reporting cycles. Retainer-based with a defined SLA. For organisations where analytics needs to keep evolving as the business does.
Add Depth Where It Counts
Optional layers that scale any engagement. The tiers above carry the core implementation. When the stack or the reporting need is more demanding, we add:
- BigQuery export + SQL layer — raw event data for custom attribution models, historical preservation across migrations, or an analyst team that queries directly.
- Server-side tagging + consent mode — durable, privacy-compliant tracking where client-side tags are blocked or unreliable.
- Multi-region / multi-brand rollout — GA4 property structure and cross-domain tracking for regional and global reporting from one model.
- CRM-to-revenue integration — web events mapped to CRM lifecycle stages so an anonymous session traces to a known contact and then to a closed deal, defensible across marketing, sales, and finance.
If you're rebuilding the site itself, analytics is built in from the architecture stage as the A pillar of COMPASS, our Brand + Build framework, so measurement is designed in, not bolted on after launch.
Testimonials
What Our Clients Say
[Placeholder: testimonial from a client whose tracking foundation we rebuilt. Kunal / Luis to nominate.]
[Placeholder: testimonial from a client whose GTM governance we set up. Kunal / Luis to nominate.]
[Placeholder: testimonial from a multi-region analytics engagement. Kunal / Luis to nominate.]
Got Questions
Web Analytics FAQs
Web Analytics is the foundation: making sure GA4, GTM, and event tracking are configured correctly so the data flowing into your tools is accurate. Data Analytics builds on that foundation: combining web data with ad platforms, CRM, and sales data to answer business questions like "what's driving pipeline?" Most enterprises need both. Start with Web Analytics if your tracking is broken or incomplete. Start with Data Analytics if your tracking is clean but you can't tie marketing activity to revenue.
Probably yes. Almost every B2B GA4 property we audit has the same issues: events fire inconsistently, conversions don't map to pipeline stages, audiences aren't configured for marketing programs, tag governance is missing. Having GA4 installed and having GA4 implemented correctly are different states. A 2–3 week audit will tell you which one you're in.
Both routes are possible. We start with an audit. If the existing property is salvageable, we fix what's broken and extend the event taxonomy. If the existing property is too far gone (common with rushed UA migrations), we recommend a clean rebuild with historical data preserved through BigQuery export. We name the trade-offs clearly before you decide.
We map web events to your CRM's lifecycle stages (MQL, SQL, opportunity, closed-won), align definitions across marketing and sales, and configure tracking on both sides so an anonymous web session can be traced to a known contact and then to a closed deal. Works with HubSpot, Salesforce, Dynamics, or custom stacks. The output is a measurement model that finance, sales, and marketing can all defend.
GA4, Google Tag Manager, Looker Studio, BigQuery, Power BI, HubSpot reporting, and the ad platforms that feed them. We're platform-fit by design. We'll recommend changes to the stack only when the existing tools can't do what your business needs.
Audit findings within 2–3 weeks. Implementation takes 4–8 weeks depending on scope. New event taxonomies usually start producing reliable data within the first 2–4 weeks of go-live, with historical comparison improving as the data set matures. We report progress weekly during implementation.
Yes. We configure GA4-to-BigQuery export for clients who need raw event data: anyone running custom attribution models, historical data preservation across migrations, or analytics work that goes beyond what GA4's UI exposes. We also build the SQL layer for clients who want their analyst team to query the data directly.
Ready to Begin
Find Out Where Your Analytics Is Quietly Lying
Most B2B analytics setups have the same problem: events firing inconsistently, conversions misconfigured, tag governance missing, and numbers nobody trusts. A 2–3 week audit gives you an honest read on where your tracking is reliable and where it isn't. Start with a conversation. No pitch deck. Just an honest read.