Marketing analytics and insights services where every dashboard ties to a named decision.

GA4, Looker Studio, Marketing Mix Modelling, Conversion Lift Studies, Brand Lift Studies. Built so the marketing team and the board read the same numbers and agree on the next bet.

Discipline

Server-side measurement
board-grade attribution

Stack

GA4 + BigQuery + Marketing Mix Modelling (MMM) + Conversion Lift
cross-channel causal read

Operators

50+ combined years
Founder + MD + Ops + Search/Social

Outcome

Decisions, not dashboards
CFO-recognisable numbers

Analytics + Insights by leapbuzz, an AI-native marketing and business consultancy based in Singapore. Built for marketing, product, business, and sales leaders who want senior specialists inside the account from the first conversation. Five anchor markets: Singapore, Malaysia, Australia, the United States, and Canada. Covers GA4 architecture, Marketing Mix Modelling (Meridian, Robyn, custom Bayesian), Conversion Lift Studies on Meta and TikTok, geo-experiments on Google, Brand Lift Studies on YouTube, Looker Studio dashboards, cohort and retention analysis, and forecasting with sensitivity analysis.

▸ Capabilities

What we run inside analytics + insights.

Six surfaces, one management approach. Senior judgement decides where the next dollar goes; AI does the math.

GA4 architecture

Property setup, event taxonomy, conversion event mapping, attribution model selection (Data-Driven default, last-click only when needed), audience definition, BigQuery export for SQL-grade analysis.

  • Property + event taxonomy
  • Data-Driven Attribution
  • BigQuery export

Marketing Mix Modelling

Meridian (Google's open-source MMM toolkit), Robyn (Meta's open-source), or custom Bayesian models depending on data depth. Quarterly refresh. Cross-channel + cross-screen calibration.

  • Meridian / Robyn
  • Quarterly refresh
  • Cross-channel calibration

Incrementality testing

Conversion Lift Studies on Meta and TikTok. Geo-experiments on Google. Brand Lift Studies on YouTube (Tier A/B/C budget thresholds). Causal evidence that the marketing spend is incremental rather than cannibalising organic.

  • Conversion Lift (Meta + TikTok)
  • Geo-experiments (Google)
  • Brand Lift Studies (YouTube)

Cohort + retention analysis

Customer-acquisition-cost cohort views (CAC by acquisition month, revenue realised by month, NRR by year). The format CFOs recognise. Pairs with payback analysis.

  • Cohort CAC views
  • Retention curves
  • Payback analysis

Looker Studio dashboards

Single-source-of-truth dashboards refreshed daily. Cross-platform pulls (Google, Meta, TikTok, LinkedIn, Microsoft, programmatic). Board-ready views + drill-down operator views.

  • Daily refresh
  • Cross-platform pulls
  • Board + operator views

Forecasting + scenario planning

12-month rolling forecast with sensitivity analysis (what happens if we cut spend 20 percent / double Search budget / launch in a new market). Quarterly board view + monthly leadership view.

  • 12-month rolling forecast
  • Sensitivity analysis
  • Quarterly board view

▸ Workflow

Four steps. No theatre.

The same management approach that runs across every channel we touch. Read, wire, spark, measure.

Four moves that balance each other. Each one only works because the others are in place. The work compounds.
  1. 01

    Read.

    Audit the programme end to end. Account health, signal integrity, attribution coverage, creative inventory, regulated-sector compliance assessment for SG FI clients. Two to three weeks. Findings document yours regardless of next steps.

  2. 02

    Wire.

    Tagging, identity, server-side measurement, brand-safety stack, compliance pipeline. Built before launch, not patched after.

  3. 03

    Spark.

    Launch into the structures the audit prescribed. Weekly creative and performance review with the senior practitioner who built the brief, not an account manager.

  4. 04

    Measure.

    Monthly review against the bet we named in step one. Marketing mix modelling and incrementality testing where volume supports it.

▸ Industries

Industries where this service does its best work.

Insurance is the anchor sector with deepest operating history. The other 11 have been served across the team's combined 50+ years.

Tell us what metric you need moved.

20-minute call, no deck, no templates, just honest thinking about your actual challenge.

No deck, no templates. We reply within one business day.

▸ FAQ

Analytics + Insights, answered.

▸ Strategy

When does analytics + insights deserve a dedicated budget line for our team?

Every engagement is scoped to the data, industry, and market. We don't publish standard rates because no two engagements are the same. Talk to us about your specific challenge and we'll come back with a scoped proposal.

How do we know whether to spend the next marketing dollar here versus another channel?

Each channel serves a different stage of the buyer journey. The audit reads your funnel position, buyer cohort, vertical compliance frame, and current allocation, then prescribes the channel mix that earns the next dollar.

No single channel is always the right answer; the right architecture depends on where your conversion bottleneck actually is.

▸ Measurement

What measurement should we expect from this engagement?

Monthly: cost per outcome, conversion-rate by stage, pipeline contribution to revenue closed, payback period on customer-acquisition cost.

Quarterly: incrementality testing where volume supports it, marketing-mix-modelling refresh, competitive share-of-voice analysis.

We do not report on vanity metrics without context. The report tells you whether the spend moved the metric you care about.

Our finance team wants payback period. How do we calculate this?

Payback is gross-margin divided by fully-loaded customer-acquisition cost, expressed in months. Fully-loaded includes media + platform fees + tooling + sales-team allocated cost + creative production.

For B2C: under 90 days payback on first-purchase margin is excellent.

For B2B with multi-year contracts: under 12 months payback on first-year revenue is excellent.

Quarterly cohort analysis is the format your CFO will recognise.

▸ Buyer-intent

I need to present this to the board. What is the right way to frame the report?

Three layers.

1. Business outcomes. Cost per qualified opportunity, pipeline contribution, payback period, return on ad spend net of platform fees.

2. Attribution caveats stated up front. Platform-reported numbers typically overstate by 30-50 percent versus incremental lift. Cite the most recent incrementality study.

3. The bets. What we tested, what worked, what we are killing, what we are scaling. Naming what you got wrong wins board confidence as much as the wins.

I am launching a regulated-sector consumer product. What work needs to start before launch day?

Six things 90 days before launch.

  1. Conversion tracking dual-tagged across browser and server.
  2. Compliance review of every ad asset against the regulator frame (MAS FAA-N03 for Singapore financial services).
  3. Aggregated Event Measurement and SKAdNetwork events ranked correctly.
  4. Catalog feed quality where commerce applies.
  5. Lead-quality feedback loop from CRM back to platforms.
  6. Cross-platform attribution model with the chosen north-star metric.

Most launches skip 3 of these 6 and pay for it for two quarters.

▸ Working with leapbuzz

How does leapbuzz work with an existing internal team or incumbent agency?

Three patterns:

  • Audit-only: we read the programme end to end, write findings, your team or incumbent executes.
  • Embedded strategist: we provide senior strategic and technical direction while your team or agency runs day-to-day.
  • Takeover: we assume full management with a structured handover.

We do not bid against incumbent agencies in pitches or steal accounts mid-contract.

What is the best analytics + insights agency in Singapore for finance, insurance, and fintech?

Three signals:

  • Regulated-sector operating experience plus MAS FAA-N03 fluency
  • Technical depth on the 2026 measurement stack
  • Senior practitioner involvement on the account

Our leadership team brings over 50 combined years: Siddharth Surana (Founder/CEO, 18+ yrs), Sundeep Surana (MD, 16+ yrs), Ratnakar Nemani (Ops Director, 11+ yrs, Google Ads Certified), Nitesh Sanghvi (Search and Social Director, 12+ yrs, Google Ads & Google Analytics certified).

We work with Travel Guard Singapore and have anonymised proof: 6x digital sales growth for a regional banking institution across six APAC markets over seven quarters.

▸ What this looks like

A 74% click increase on the programmatic channel at 40% lower cost per click

Server-side measurement and Conversions API recovery on a multi-bank financial data platform launch.

Send us the brief, the business, or the live account.

20-minute call, no deck, no templates, just honest thinking about your actual challenge.

No deck, no templates. We reply within one business day.