Data Solutions · Singapore
Marketing Data That Drives Decisions, Not Decoration
Web analytics, attribution modelling, and dashboards built for enterprise B2B. We turn marketing data into answers leadership can act on, and that finance and sales will actually trust.
The Problem
The B2B Marketing Data Problem
These aren't reporting problems. In B2B, data that doesn't drive decisions is overhead that doesn't pay for itself.
Dashboards Everywhere. Decisions Nowhere.
GA4 has its view. LinkedIn has its view. The CRM has its view. The agency monthly report has its view. Every channel reports separately, no single view connects the dots, and your team spends Monday morning reconciling numbers instead of using them. Reporting that doesn't change behaviour is reporting that doesn't pay for itself.
Marketing Data and Sales Data Don't Talk
Marketing measures MQLs. Sales measures opportunities. Finance measures closed revenue. Three systems, three definitions, three teams arguing over the same pipeline. Without a shared model, you can't answer the question that decides next year's budget: what did marketing actually contribute to revenue last quarter?
Reporting Compliance Beats Reporting Usefulness
Reports get sent because they have to be sent. Slides get built because the quarterly review expects them. But nobody uses the numbers to decide what to do next. The reports look professional, the meetings happen on schedule, and the underlying decisions stay gut-led. Data that doesn't shape action is overhead.
Enterprise B2B Brands We've Built Data Programs For
Our Services
Our B2B Data Services
B2B marketing data fragmented into vendors and silos: one tool for web, another for ads, a CRM that doesn't talk to either, and an agency report that reconciles none of it. Construct Digital was built the other way: the team that designs the measurement is accountable for whether the numbers drive a decision, not just for shipping a dashboard.
Two services connect what's happening on your channels to what's happening in your pipeline. Whether you need a clean analytics foundation or a model that attributes revenue across long sales cycles, the work starts with the business question and ends with the decision.
Web Analytics
GA4, tag management, conversion tracking, and event models built right. Clean data in, decisions out. Foundational work that makes everything downstream actually work.
Data Analytics
Cross-channel attribution, marketing data modelling, and dashboards your team will actually open. We connect ad platforms, CRM, and analytics into a single view of what's driving pipeline.
Proven Results
By The Numbers
Cross-service analytics results across enterprise B2B clients in Singapore and Southeast Asia.
Enterprise B2B analytics programs delivered across Singapore and Southeast Asia.
Building B2B marketing data systems in Singapore and Southeast Asia.
Tracking, tag, and attribution implementations shipped across enterprise B2B clients.
Dashboards built across GA4, Looker Studio, BigQuery, and HubSpot.
Client Results
Data Work That Performed
Real outcomes across web analytics, attribution modelling, and cross-channel reporting for enterprise B2B clients in Singapore and Southeast Asia.
[Enterprise B2B Client]
[Placeholder: GA4 migration and tag management overhaul for an enterprise B2B client. Full event model rebuild, conversion tracking, and clean data layer implementation.]
[Enterprise B2B Client]
[Placeholder: multi-touch attribution model connecting marketing activity to CRM pipeline and closed revenue for an enterprise B2B client.]
[Enterprise B2B Client]
[Placeholder: unified cross-channel dashboard combining ad platforms, CRM, and analytics into a single reporting layer for marketing and finance leadership.]
Got Questions
Data Solutions FAQs
Web Analytics is the foundation: making sure GA4, tag management, and event tracking are set up 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.
We work with whatever CRM you're on: HubSpot, Salesforce, Dynamics, or a custom stack. Typical pattern: align definitions across marketing and sales (what counts as an MQL, SQL, opportunity), connect tracking on both sides so we can trace anonymous web sessions to known contacts to closed deals, and build attribution that reflects how B2B buyers actually move. The output is reporting that finance, sales, and marketing can all agree on.
Both. The dashboards we build are designed to be used: filtered by the question your team is actually asking, refreshed automatically, and structured so anyone in the room can read them without a translator. We build in Looker Studio, Power BI, and HubSpot reporting depending on where your team works. The goal is dashboards that change behaviour, not dashboards that look impressive in screenshots.
Depends on where you're starting. If your tracking is broken, fixing Web Analytics is usually 4–8 weeks. If tracking is clean but reporting is fragmented, building a unified dashboard layer takes 6–12 weeks. Attribution modelling that actually informs spend decisions usually compounds over 1–2 quarters as the data set matures. We set honest timelines upfront and report progress monthly.
GA4, Google Tag Manager, Looker Studio, BigQuery, Power BI, HubSpot, Salesforce, and the ad platforms that feed them. We're platform-fit by design, not platform-locked. We'll build on the stack you already have where it makes sense, and recommend changes only when the existing tool can't do what your business needs.
Ready to Begin
Ready to Make Your Marketing Data Pay for Itself?
Whether your tracking is broken, your dashboards are unused, or your attribution doesn't reach revenue, start with a conversation. We'll assess where your data is working, where it's leaking commercial value, and recommend the right entry point. No pitch deck. Just an honest read.