▸ No invented anonymised wins
Every engagement above is a real engagement with a real client who has approved the anonymised description. We do not stage anonymised case studies to fill a results page.
Receipts. Not slides.
One named live client, four founder-verified anonymised engagements, zero fabricated metrics. Every figure on this page traces to engagement reporting we can defend. If a competitor agency cannot say the same, ask them why.
Live client
Travel Guard Singapore
paid media across search and social, live since February 2026
Anonymised engagements
4 verified
banking, fintech, wealth, trading platforms
Operating experience
50+ combined years
leadership team across SEA + ANZ + North America
Publication standard
Client-approved only
no invented wins, no unverifiable metrics
▸ The honest-claims rule
Only what the client signs off. No invented wins.
We publish named live clients only with explicit written approval. Anonymised engagements only where the client has signed off on the sector, scope, and reference metric. Aggregate numbers only where each underlying engagement is itself documented. Fabricated metrics, invented anonymised case studies, and unverifiable platform-feature claims do not appear here.
▸ Named live client
Travel Guard Singapore. Paid media, search and social.
Live since February 2026. Direct relationship with Travel Guard Singapore. Scope covers paid search and paid social channels (Meta Ads, Google Ads, Microsoft Advertising). No published metrics yet. We will write the case study with the client when results meet the publication standard and the client approves.
We do not name Travel Guard's underwriter, insurer, claims administrator, or any other third party on this site. Those parties have not authorised us to use their names on our marketing surfaces, and we will not imply a relationship we do not have. The engagement is between leapbuzz and Travel Guard Singapore. Everything else stays off the page.
▸ Case study 01 · Regional banking, multi-market acquisition
Six times the digital sales channel volume. Across six countries.
Anonymised at client request. Multi-market digital acquisition programme covering new-to-bank customers, credit card applications, and personal-loan approvals.
6×
growth in paid-channel volume
relative to total digital sales
60%
reduction in cost per
acquired customer
6
APAC markets, sustained
over 7 quarters
▸ The challenge
The bank ran paid media across six APAC markets through fragmented agency rosters. Reporting stopped at click-through. Compliance constraints (Singapore PDPA, regional banking-conduct codes) prevented mapping new-to-bank outcomes to specific media channels. The CMO could not answer how each dollar of paid spend converted to a funded account, and the country teams were optimising to different metrics quarter to quarter.
▸ The approach
- Standardised campaign architecture across the six markets so country-level optimisation could be compared and unified at the regional level.
- Connected the bank's Customer Relationship Management (CRM) system to platform-level reporting, parsing approval-level data back to Meta Conversions API, Google Enhanced Conversions for Leads, and the Microsoft Advertising stack.
- Built deeper targeting layers using approval-quality CRM signals, not application volume, as the training event.
- Dynamic creative templates for varied assets, contextually relevant segments by platform, and landing-page improvements driven by user-analytics and heatmap evidence.
▸ The outcome
- Six times growth in paid-channel volume relative to total digital sales, sustained over seven quarters.
- Sixty percent reduction in cost per acquired customer compared to the pre-engagement baseline.
- Six APAC markets deployed under a unified architecture, with country-level optimisation cycles standardised.
- Algorithmic training shifted from application volume to bound and funded accounts, the unit of value the bank actually cares about.
Anonymised at client request. Reference metrics founder-verified against the engagement's quarterly reporting. We will not publish a named version of this case study without explicit written approval from the institution.
Metrics dataset (machine-readable)
| Metric | Value | Baseline / window |
|---|---|---|
| Paid-channel volume growth relative to total digital sales | 6× | Pre-engagement baseline, sustained over 7 quarters |
| Cost per acquired customer reduction | 60% | vs pre-engagement baseline |
| APAC markets deployed under unified architecture | 6 | Country-level optimisation cycles standardised |
| Measurement period | 7 quarters | Sustained reporting cadence |
▸ Case study 02 · Financial data consolidation platform launch
A 74% click increase on the programmatic channel. At a 40% lower cost per click.
Anonymised at client request. Multi-bank collaboration platform enabling secure financial data aggregation for holistic financial planning. Public-sector security messaging constraints.
74%
click increase on the
programmatic channel
40%
reduction in cost per click
across the programme
61%
over-delivery on planned
impression target
▸ The challenge
Drive mass user adoption for a secure financial data consolidation service spanning multiple banking institutions. The brief: maintain public-sector security messaging compliance, hit a regulated audience at scale, and manage the editorial and approval complexity that multi-bank collaboration creates.
▸ The approach
- Life-stage targeting segmented into Early Careers, Mid Careers, and Pre-Retirees, with creative built per cohort so the security messaging landed against each life stage's actual planning horizon.
- Multi-channel deployment across programmatic, Meta Ads, and Google Search, so the same cohort was reached in three different intent contexts.
- A robust retargeting pool built from first-touch programmatic interactions, then converted via Google Search at the moment of high-intent query.
- Strategic search-budget allocation to fulfil regulatory mandates while maximising platform credibility.
▸ The outcome
- Seventy-four percent click increase on the programmatic channel against the pre-launch baseline.
- Forty percent reduction in overall cost per click.
- Sixty-one percent over-delivery on the planned impression target.
- Approximately one percent click-through rate (CTR) sustained against the Mid Careers cohort, which became the engagement's anchor segment.
Anonymised at client request. Reference metrics founder-verified against the engagement's end-of-launch reporting.
Metrics dataset (machine-readable)
| Metric | Value | Baseline / window |
|---|---|---|
| Click increase on programmatic channel | 74% | vs pre-launch baseline |
| Cost-per-click reduction across the programme | 40% | End-of-launch reporting |
| Over-delivery on planned impression target | 61% | vs media plan |
| Click-through rate sustained against Mid Careers cohort | ~1% | Anchor segment |
▸ Case study 03 · Heritage investment fund launch
1.7× the industry benchmark click-through rate. At launch.
Anonymised at client request. Awareness campaign for a new heritage investment fund launch, Singapore market. Programmatic media combined with search marketing against precision-targeted audiences.
1.7×
click-through rate vs
industry benchmark
+44%
higher clicks than
the campaign plan
+22%
more impressions than
the campaign plan
▸ The objective
Build awareness and drive high-intent traffic for a new fund launch in the Singapore market. Reach qualified investors with precision targeting. Maximise reach on key local financial publications and search platforms. Optimise the media mix against engaged-user signals, not vanity reach.
▸ The approach
- Programmatic media on key local financial-publication inventory, vetted for brand safety against the wealth-product context.
- Search marketing for high-intent product-aware queries, with bid discipline calibrated to the fund's qualified-investor threshold.
- Ad-format and channel selection optimised continuously against engaged-user metrics, not raw impression delivery.
- Search and programmatic budgets rebalanced weekly based on engaged-user signal quality, not last-click attribution.
▸ The outcome
- Sixteen percent higher reach than the campaign plan called for.
- Twenty-two percent more impressions than the plan.
- Forty-four percent higher click volume than the plan.
- Click-through rate at 1.7 times the industry benchmark for wealth-product launches in the Singapore market.
Anonymised at client request. Reference metrics founder-verified against the engagement's post-launch reporting. Industry benchmark sourced from publicly cited wealth-product market data.
Metrics dataset (machine-readable)
| Metric | Value | Baseline / benchmark |
|---|---|---|
| Click-through rate vs industry benchmark | 1.7× | Singapore wealth-product launches |
| Click volume above plan | +44% | vs campaign plan |
| Impressions above plan | +22% | vs campaign plan |
| Reach above plan | +16% | vs campaign plan |
▸ Case study 04 · Digital trading platform growth
31% higher traffic than planned. Brand and tactical, running together.
Anonymised at client request. Dual-objective campaign building brand awareness with high-frequency advertising while driving tactical sign-ups across programmatic display, private marketplace inventory, and strategic publisher partnerships.
+31%
higher traffic to the
platform than planned
+27%
more impressions
than the plan
+20%
higher reach
than planned
▸ The objective
Build brand awareness and recall through high-frequency advertising while simultaneously increasing sign-ups through tactical offer creative. The dual mandate meant the campaign had to deliver both an awareness curve (reach and impression frequency) and a performance curve (clicks and leads) without one starving the other.
▸ The approach
- Programmatic display delivering the upper-funnel awareness curve at frequency, with creative rotated to manage fatigue.
- Private-marketplace partnerships with publisher inventory aligned to the trading-platform audience.
- Strategic channel partnerships used as targeted reach extensions, not as commodity inventory.
- Tactical offer creative running concurrently in lower-funnel placements, with separate measurement so brand spend was not contaminated by performance attribution.
▸ The outcome
- Twenty percent higher reach than the campaign plan.
- Twenty-seven percent more impressions than the plan.
- Thirty-one percent higher traffic to the platform than the plan.
- Strong lead-generation growth from the tactical-offer creative running alongside the brand layer.
Anonymised at client request. Reference metrics founder-verified against the engagement's campaign-end reporting. Planned baselines were the joint media plan agreed at campaign kickoff.
Metrics dataset (machine-readable)
| Metric | Value | Baseline / window |
|---|---|---|
| Traffic to platform above plan | +31% | vs joint media plan |
| Impressions above plan | +27% | vs joint media plan |
| Reach above plan | +20% | vs joint media plan |
▸ Sector operating experience
Nine sectors. Insurance leads.
Where the leadership team has operating experience. Insurance is the anchor sector. The other eight are credibility breadth, not invented depth.
▸ Discipline note
What you will not see on this page. By design.
▸ No fabricated metrics
Every figure on this page traces to engagement reporting we can defend. The 6x figure, the 74 percent figure, and the 1.7x figure are not industry averages or extrapolations. They are the actual results recorded against actual plans.
▸ No competitor theatre
We do not publish "won against agency X" claims even where accurate. Pitch wins are not outcomes. The work is the proof.
▸ No screenshot dashboards
Dashboards mislead when stripped of context. Engagement-level metrics with the assumptions named are the only publication standard we recognise. If you want a dashboard tour, we will give you one on a call, with the assumptions named.
If your engagement produces a result you would be comfortable seeing here, we will write it with you.
20-minute call, no deck, no templates, just honest thinking about your actual challenge. Findings document yours regardless of next steps.