Search
High-intent demand capture. Tight ad groups, responsive search ads, ad extensions, audience layering, automated query mining.
- Branded protection
- Non-brand demand capture
- Competitor conquesting
- Negative keyword discipline
For accounts running Search, Shopping, Performance Max, and YouTube at scale, where AI Max for Search migration begins September 2026 and Consent Mode v2 is already enforced across the EEA.
Open to global engagements
Surface
Search + Shopping + PMax + YouTube + App
full-account coverage
Stack
sGTM + Consent Mode v2 + Enhanced Conversions
signal-quality native
Operators
18+ yrs senior practitioner
pre- and post-AI engagement design
Window
AI Max migration begins Sep 2026
audit your readiness now
Google Ads management 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. Bring us the brief, the business challenge, or the live account. We read what we find and tell you what to do next. One to three weeks, scoped to the data, industry, and market. The findings document is yours regardless of next steps. Five anchor markets: Singapore, Malaysia, Australia, the United States, and Canada. Open to global engagements where the work fits. Eight senior specialists in Singapore and India bring eighteen-plus years of senior practitioner experience spanning pre- and post-AI engagement models across Search, Shopping, Display, YouTube, Performance Max, App campaigns, plus GA4 measurement, server-side Google Tag Manager, Consent Mode v2, Enhanced Conversions for Leads, and AI Max for Search migration preparation. We read the business, wire the system, and run the channels.
▸ Capabilities
Six campaign families. One management approach. Same accountability across all of them.
High-intent demand capture. Tight ad groups, responsive search ads, ad extensions, audience layering, automated query mining.
Merchant Center feeds, Shopping campaigns, product attributes that map to how customers actually search. Custom labels for margin and seasonality.
Responsive display ads across the Google Display Network. Remarketing, custom audiences, in-market signals, contextual placements.
In-stream, bumper, discovery, and Shorts ads. Hook in the first three seconds, intent-mapped audiences, view-rate optimisation.
Cross-channel campaigns run by Google's AI on top of clean asset groups and verified conversion data. Strong audience signals, strong negative-keyword guardrails.
Universal app campaigns across Google Search, Play, YouTube, and the Display Network. Install-focused or in-app-action focused depending on the LTV model.
▸ Ad formats
Google's ad inventory spans Search, Shopping, Display, Video, and AI-managed Performance Max. Format choice in 2026 is where most accounts leave performance on the table.
Visual reference. Hover any example card for the senior-practitioner read.
Search
Text ad on SERP
Best forBottom-funnel, high-intent demand capture.
Text ad on the Google search results page. The format where buyer intent is captured at the moment of need. Tight ad groups plus responsive search ads plus rigorous negatives still produce the strongest CPA in regulated-sector accounts.
Search + Assets
Sitelinks, callouts, structured snippets
Best forExpanding Search ad SERP real estate without raising bid.
Sitelinks, callouts, structured snippets, call asset, location asset, image asset, lead form asset, promotion asset. Typically lifts CTR 10-30% at the same bid. Underused on every account we audit.
Shopping
Merchant Center feed
Best forE-commerce with a clean product catalogue and conversion tracking.
Merchant Center feed-driven. Title, description, image, price, GTIN, availability. Custom labels for margin and seasonality. Performance Max consumes Shopping inventory by default; standalone Shopping retains control for catalogue diagnostics.
Display
GDN, 35M+ sites
Best forAwareness and remarketing across the Google Display Network.
Responsive Display Ads across the Google Display Network of 35 million+ sites. Standard sizes 300x250, 728x90, 160x600, 320x100 mobile. Best with clean audience signal and creative built for display, not Search-creative repurposed.
Video / YouTube
In-stream, Shorts, Discovery
Best forBrand storytelling, awareness layering, mid-funnel consideration.
In-stream skippable and non-skippable, Bumper (6s), Shorts (9:16 vertical), In-feed Discovery, Masthead reservation. CPV bidding for In-stream; target CPA available with sufficient conversion data. YouTube Shorts has the strongest 2026 growth curve.
Performance Max
All inventory, AI-managed
Best forE-commerce and lead-gen above 50 conversions per week with clean signal.
Single AI-managed campaign across Search, Shopping, Display, YouTube, Gmail, Discover, Maps. Asset groups plus audience signals replace manual ad groups. Conversion-value bidding default. Requires 50+ conversions per week for the model to learn.
Demand Gen
YT, Discover, Gmail feeds
Best forVisual-first awareness and mid-funnel demand creation across Google feed surfaces.
Single image or video ads on YouTube In-Feed, Shorts, Discover, Gmail. Replaced legacy Discovery campaigns in 2024. Lookalike audiences supported. Strong for considered-purchase categories where the buyer is browsing not searching.
App Campaign
Cross-network UAC
Best forMobile app install and in-app event optimisation.
Universal App Campaign (UAC) runs Search, YouTube, Play, GDN, Discover. Asset variants (text, image, video, HTML5). Target CPI or target CPA for in-app events. SKAdNetwork (SKAN) (SKAdNetwork)-compatible event reporting on iOS.
Most accounts run Search well and under-use Search assets, Demand Gen, and Performance Max calibration. Format and asset choice is where the lift comes from, not bid strategy.
▸ How we engage
The same management approach that runs across every channel we touch. Read, wire, spark, measure.
Singapore for senior strategy and client engagement. India for technical execution, dashboards, and overnight monitoring. One team, two time zones, no white-labelling.
01
Audit the account end to end. Wasted spend, structure gaps, conversion-tracking holes, attribution model, search-term quality, brand-versus-non-brand split. Two to three weeks. Findings document yours regardless of next steps.
02
Rebuild the account architecture against the diagnosis. Tracking gets fixed first. Campaign structure reconsolidates. Negative-keyword libraries get written. Feed health for Shopping. Conversion values for Performance Max.
03
Launch new structure into live spend with conservative bidding while Smart Bidding learns. Weekly check-ins. Asset-group iteration. Search-term review. Quality Score watching. No silent failures.
04
Causal lift, not last-click theatre. Monthly review against the bet we named in step one. Incrementality testing where volume supports it. Honest read on what worked, what did not, what to try next.
▸ Proof from the client portfolio
Previous-agency engagement, founder-verified. Numbers from the live account, not from a deck.
Banking · Multi-market Asia
6×
digital sales growth
60%
acquisition cost reduction
7 quarters
sustained, not a one-quarter spike
Challenge. Efficient acquisition of new credit-card and personal-loan customers across six Asian markets, each with its own banking regulator, brand-guardrail standards, and conversion-attribution constraints.
Approach. Standardised Google Search and Display architecture across markets, with per-market localisation in the creative and bidding layer. Audience targeting layered by life-stage and intent. Dynamic creative templates customised per platform and audience segment. Closed-loop measurement back to the bank's CRM.
Outcome. Six times growth in digital sales, sustained across seven consecutive quarters. Acquisition cost down sixty percent over the same window. Each market read independently and was managed against its own regulator's standards.
20-minute call, no deck, no templates, just honest thinking about your actual challenge.
▸ Measurement stack
Measurement is where most accounts leak budget into the wrong attribution bucket. The stack below is what we install or tighten on every Google engagement, regardless of which agency wired it before us.
One GA4 property can link to many Google Ads accounts. One Google Ads account can link to many GA4 properties. You need Editor on the GA4 property and Admin on the Google Ads account. Auto-tagging on so GCLID flows. Google Ads linking docs.
Either GA4 imports the conversion OR a Google Ads site tag fires it. Never both for the same event. The double-count failure mode costs Smart Bidding more than the missed optimisation signal would. Document the source per conversion action in the tracking spec. GA4 conversion import.
SHA-256 hashed email or phone captured at form submission, matched back to signed-in Google users at click time. The highest-impact measurement upgrade for B2B, financial services, insurance, education. Recovers 10 to 20 percent of attribution lost to iOS and browser-level tracking limits in our portfolio. Enhanced Conversions for Leads.
Mandatory for EEA + UK traffic since March 2024 if you use Google audience features. Sensible default everywhere. Four signals required: ad_user_data, ad_personalization, analytics_storage, ad_storage. Advanced mode preserves modelled conversions when consent is denied. Consent Mode v2 docs.
First-party domain (metrics.client.com) routes to a sGTM container on Google Cloud, which forwards to GA4, Google Ads (with Enhanced Conversions), Meta CAPI, LinkedIn CAPI. Preserves 1P cookies past the 7-day ITP cap. Default for any client with monthly Google spend above $30k, where payback is months not years. sGTM developer docs.
GA4 reports fewer Google Ads conversions than Google Ads does. GA4 is cross-channel and credits other paid + organic touches in the path. Google Ads credits the Google touch if any exists in window. This is the system working as designed, not a tracking bug. Reconcile in reporting, do not chase. GA4 attribution docs.
▸ Search in the agentic era
At Google I/O 2026, Gemini 3.5 Flash became the default model in AI Mode for every market it operates in. AI Mode has crossed one billion monthly active users and queries are tripling in length relative to traditional Search (Google). What changed for a Google Ads programme: the surface that decides whether your brand even enters the consideration set has shifted under the surface that decides whether your bid wins.
AI Mode breaks one user question into many sub-queries against the open web in parallel. Deep Search can issue hundreds of sub-queries per session. A brand surfaces only if its schema, content extractability, and entity graph hold up across the full fan-out, not just on the literal user query.
The new Search box accepts text, image, file, video, or Chrome-tab inputs. More than one in six United States searches now use voice or images, with image searches growing about 40 percent month over month (Google). Image-asset SEO, video transcripts, and ImageObject schema move from optional to required.
AI Mode now connects Gmail, Google Photos, and (soon) Google Calendar to ground answers in the user's own context. Generic in-market signals weaken. The brands that show up in personalised answers are the ones already present in the user's inbox or maps history. Receipt-presence and Google Business Profile depth become channel inputs.
Agents now monitor the open web 24/7 against a user-defined query and surface a synthesised update. For brands, this is the new push surface. Pages that get summarised cleanly (declarative answers, named author, dateModified, primary citations) get re-surfaced repeatedly. Pages that need to be argued with do not.
Agentic booking expanded to local services and home repair, and Google will call businesses on a user's behalf. A Google Ads programme without a clean Google Business Profile, structured booking endpoints, and consistent name-address-phone data across the web cedes those agent-initiated calls to a competitor. The local stack becomes part of the paid stack.
Search now builds custom layouts (interactive visuals, simulations, mini apps) on the fly for some queries. For those queries, the brand's own page UX matters less and structured data matters more. Coding for the agent (Antigravity plus Gemini 3.5 Flash inside Search) replaces coding for the human in those flows.
▸ Where this lands
Google Ads runs across every sector that buys search inventory. The list below is where leapbuzz has the deepest operating history, not where the platform itself is limited.
▸ Deepest operating history
Bancassurance partnerships included (DBS-Manulife, OCBC-Great Eastern pattern). The platform itself has one real constraint: Google Ads Financial Services Verification is enforced in SG and MY (and globally for credit/loans). Verified accounts only.
▸ Shipped at scale, less frequently
▸ Latest in the Google stack
Primary-source updates from Google's product blog, support docs, and Google Ads API release notes. Each item is freshness-stamped. Re-verified , after the Google Marketing Live 2026 keynote on 20 May.
AI Max ships AI Brief, AI Max for Shopping, and text disclaimers for regulated industries
Google's fastest-growing Search ads product (per Q3 2025 internal data) gains three production-grade controls. AI Brief lets advertisers steer Gemini with messaging guidelines (e.g. "never mention prices"), matching guidelines (e.g. "prioritise healthy pantry staples"), and audience guidelines, rolling out first to Search then PMax and Shopping in English. AI Max for Shopping transforms Merchant Center feeds into dynamic ads against conversational long-tail queries. Text disclaimers force mandatory compliance text to appear even when Final URL Expansion is on. Material for finance, insurance, healthcare, and travel advertisers running AI Max migration plans.
Primary source: Google: Steer performance with new AI Max features (20 May 2026).
Four new Gemini-powered ad formats land inside AI Mode in Search
Conversational Discovery Ads respond to specific consumer questions with Gemini-tailored creative inside AI Mode. Highlighted Answers place eligible high-quality ads alongside AI-generated product recommendations. AI-Powered Shopping Ads (coming months) let Gemini pull relevant products from the feed and write custom explainers. Business Agent for Leads is a Gemini chatbot inside Search ads that answers prospect questions from the advertiser's own website data. Material for advertisers planning campaigns against the AI Mode surface, where conventional Search ad placements no longer carry all the traffic.
Primary source: Google: A new generation of ads for the AI era of Search (20 May 2026).
Ask Advisor: one Gemini agent across Google Ads, Analytics, Merchant Center, and Marketing Platform
A unified cross-product AI collaborator that orchestrates a team of expert agents across Google's marketing stack. Use cases include launching campaigns from a natural-language brief that pulls Merchant Center data, surfacing combined Ads-plus-Analytics insights without platform-switching, and producing proactive recommendations. Beta is restricted to English-language accounts. Full rollout scheduled for later in 2026. Material for in-house teams running multi-product Google deployments; senior practitioners should review what to delegate to the agent and what to keep under human review.
Primary source: Google: Meet Ask Advisor, your new AI-powered collaborator (20 May 2026).
AI-powered bidding and budgeting tools arrive for performance accounts
Google introduced AI bidding and budget tools that adapt to shifting consumer behaviour while holding performance goals. Sits alongside the Journey-Aware Bidding beta (Search) and Smart Bidding Exploration that has already lifted unique converters 27 percent on Search. Material for advertisers running Target CPA, Target ROAS, or Maximise Conversion Value strategies on Search and PMax. Worth testing in a controlled experiment before rolling across the whole account.
Primary source: Google Marketing Live 2026: bidding and budgeting news (20 May 2026).
Asset Studio adds multimodal Gemini for creative production
Asset Studio centralises creative workflows, connects design tools to Gemini models, and turns brand guidelines into production-ready ad assets. Material for advertisers with high creative-volume requirements (Shopping feeds, Demand Gen, Performance Max asset groups) where the bottleneck has been creative production speed rather than spend.
Primary source: Google: Asset Studio is entering a new era of AI-powered creativity (20 May 2026).
Ads Advisor: three new agentic safety and policy features for Google Ads
Three agentic features integrated into Ads Advisor enhance account protection while streamlining management. Material for any account where policy violations, account suspensions, or compliance review have been historical pain points (regulated industries, repeat-policy-flagged accounts, large-asset-volume PMax setups). Read the Google policy reference before delegating safety checks to the agent.
Primary source: Google: 3 new ways Ads Advisor is making Google Ads safer and faster (20 May 2026).
Google Ads API v24.1 ships, adds AI Max experiment types
Version 24.1 introduces experiment types built for AI Max adoption and broad match testing, plus a new mobile-device platform segment. Teams on v23 or earlier should review breaking changes before the deprecation window closes.
Primary source: Google Ads API release notes.
Journey-Aware Bidding enters beta for Search
Target CPA can now learn from non-biddable conversion goals: phone calls, form submissions, newsletter signups. Worth a controlled test in financial services and B2B where the buyer journey runs over weeks, not single-session clicks.
Primary source: Google Marketing Live 2026 bidding announcements.
Smart Bidding Exploration on Search lifts unique converters 27 percent
Already live on Search; PMax and Shopping beta launching in the coming weeks. Adjustable ROAS tolerance lets Smart Bidding chase less obvious queries and new customer segments. Google reports 27 percent more unique converting users on average.
Primary source: Google Marketing Live 2026 bidding announcements.
Demand-Led Pacing announced for Search and Shopping
Daily spend will auto-adjust to consumer demand fluctuations within the monthly budget and daily cap. Captures more demand on peak days, eases off on slower days. Rolling out across Search and Shopping over the coming months.
Primary source: Google Marketing Live 2026 budgeting announcements.
AI Max for Search exits beta with AI Brief, Shopping, Travel
After a one-year beta, AI Max is now generally available. Expanded to Shopping (Merchant Center feed-powered creative) and Search for Travel. A new Gemini-powered AI Brief lets advertisers set messaging, matching, and audience guidelines. Text disclaimers now supported on Final URL expansion.
Primary source: AI Max anniversary announcement, Google Ads & Commerce blog.
Google Ads API v24 lands with breaking changes
Required fields for video responsive ads, removed call ad support, new CartDataSalesView resource for retail reporting, plus retail filter support. Call-ad integrations and any video responsive ad pipeline need rework before the v23 sunset window.
Primary source: Google Ads API release notes.
Dynamic Search Ads (DSA) force-migration to AI Max in September 2026
Every eligible Dynamic Search Ads campaign, App campaigns (ACA), and campaign-level broad match setting will auto-migrate to AI Max for Search from September 2026. No opt-out. No new DSA campaigns afterwards. Phase 1 upgrade tools already live for porting historical settings.
Primary source: Dynamic Search Ads to AI Max upgrade announcement.
Google enforces mandatory Financial Services Verification in Malaysia
Effective 14 April 2026, financial-services advertisers in Malaysia must complete third-party verification via G2 Risk Solutions confirming authorisation by the relevant Malaysian regulator. Same model already enforced in Singapore, Australia, and the UK. Queue verification before the next campaign refresh.
Primary source: Financial Services Verification policy.
Google Ads API v23.1, AI-generated asset text guidelines
v23.1 added structured text guidelines for AI-generated assets, plus EU political advertising declaration support. Teams using AI Asset generation should review the new guideline parameters in the API change log.
Primary source: Google Ads API release notes.
2025 Google Ads industry benchmarks published
Updated US Google Ads industry benchmarks across 23 verticals based on roughly 16,000 active campaigns sampled Apr 2024 to Mar 2025. Finance and Insurance: CTR 8.33 percent, CPC $3.46, CVR 2.55 percent, CPL $83.93. Full table and APAC framing in the Benchmarks block below.
Compiled from publicly available 2025 US Google Ads benchmark publications, cross-checked against leapbuzz client portfolio observations.
▸ Benchmarks
2025 US Google Ads Search benchmarks, compiled from publicly available industry data (US sample, approximately 16,000 active campaigns, Apr 2024 to Mar 2025 reporting period), cross-checked against leapbuzz client portfolio observations. APAC framing below the table.
| Industry | Avg CTR | Avg CPC (USD) | Avg CVR | Avg CPL (USD) |
|---|---|---|---|---|
| Finance & Insurance | 8.33% | $3.46 | 2.55% | $83.93 |
| Travel | 8.73% | $2.12 | 5.75% | $73.70 |
| Real Estate | 8.43% | $2.53 | 3.28% | $100.48 |
| Automotive (for sale) | 8.29% | $2.41 | 7.76% | $38.86 |
| Education & Instruction | 5.74% | $6.23 | 11.38% | $90.02 |
| Business Services (B2B) | 5.65% | $5.58 | 5.14% | $103.54 |
| Health & Fitness | 7.18% | $5.00 | 6.80% | $62.80 |
| Attorneys & Legal Services | 5.97% | $8.58 | 5.09% | $131.63 |
| Sports & Recreation | 9.19% | $2.64 | 7.62% | $47.47 |
| Shopping, Collectibles & Gifts | 8.92% | $3.49 | 3.83% | $47.94 |
| All-industry average | 6.66% | $5.26 | 7.52% | $70.11 |
Search is the largest commercial-intent channel inside Google Ads and the one regulated-sector clients lean on hardest. The US table above is the broad-industry average and dilutes high-intent finance terms inside the Finance and Insurance bucket. The ranges below reflect what we actually see in Singapore finance, banking, insurance, and fintech auctions, where commercial intent is high and competitive sets are concentrated. where shown.
SG CPC by keyword intent (Finance + Insurance)
Quality Score targets
Impression Share targets
All ranges are leapbuzz operator-portfolio observations from live Singapore auctions across motor, travel, life, health, banking, and fintech accounts, 2025 to 2026. Singapore high-intent finance CPCs often equal or exceed US figures because the competitive set is concentrated across a small number of well-funded brands. Auction prices move quarterly: re-validate against Google Ads Keyword Planner before any campaign launch.
▸ APAC + CA framing
Google does not publish public CPC benchmarks for Singapore or Malaysia. Australia and Canada have thin public coverage. The four reads below come from the leapbuzz client portfolio against the regulator and ad-industry trend data each market does publish.
often equals or exceeds US CPC
Counter-intuitively, SG high-intent finance generics (motor insurance, credit card, mortgage) often match or exceed US CPCs. The competitive set is concentrated across a small number of well-funded brands and inventory is limited. Retail, travel, and informational long-tail sit below US.
Always validate the specific keyword against Keyword Planner. Never assume an APAC-discount rule of thumb.
50 to 80 percent of Singapore
High-intent finance CPCs typically track 50 to 80 percent of Singapore in the same verticals. Lower competitive density, lower inventory, lower auction floors. Benchmark coverage in public reports is thinner than Singapore.
Google Ads Financial Services Verification enforced from 14 April 2026 via G2 Risk Solutions.
data thinner than US, regulator-anchored
CPC reads come from leapbuzz portfolio observation against ad-industry trend data. ACMA regulates online content and advertising. The IAB Australia Online Advertising Expenditure Report publishes annual ad-spend trend data.
ASIC RG 234 (Nov 2012) governs financial product advertising. Privacy Act amendment Royal Assent 10 Dec 2024 tightens direct-marketing consent.
65 to 80 percent of US CPC
Financial-services CPC historically tracks 65 to 80 percent of the US figure based on leapbuzz client portfolio observations. The Competition Bureau covers deceptive marketing. OPC under PIPEDA governs ad disclosure.
OSFI Guideline B-13 effective 31 July 2022 for federally-regulated FIs. Quebec Law 25 staged commencement 22 Sep 2022 / 2023 / 2024.
Methodology note: CVR is an account-level average and varies wildly by funnel design, offer, and landing-page conversion mechanics. Use the bands as orientation, not as a target. Auction prices move quarterly: re-validate before every campaign launch.
▸ Questions
Search campaigns target users who are actively searching for your product or service. This is the highest-intent inventory Google sells. Above 50 conversions per month, tight ad groups plus responsive search ads plus rigorous negative keywords deliver the strongest cost per acquisition in our regulated-sector accounts.
Display campaigns place visual ads across the Google Display Network of over two million sites. Useful for awareness and remarketing, but lower commercial intent per impression. Worth running when you have a clear audience signal and a creative asset designed for display, not when you are trying to replicate Search performance at scale.
Performance Max is Google's AI-managed campaign type that runs across all of Google's inventory at once: Search, Display, YouTube, Gmail, Discover. The algorithm allocates budget and creative dynamically based on conversion signals. Works well above fifty conversions per month with strong creative assets and clean conversion tracking. Below that volume, the algorithm does not have enough signal to learn from.
Our default: Search as the base layer for any new account, Performance Max layered on once the conversion volume supports it.
Quality Score is a one-to-ten rating per keyword, calculated from three components:
A higher score lowers your effective cost per click and improves ad rank. The single biggest lever is landing-page relevance: pages that mirror the ad headline and the search intent typically outperform pages that send all paid traffic to the homepage.
The two-week improvement playbook: tighten ad groups so a small set of related keywords maps to ads that match the intent directly. Write ads with the keyword phrasing in the headline where natural. Ensure landing pages load under three seconds on mobile (Google's own performance threshold via web.dev). Add all relevant ad extensions consistently across the account.
Match the bidding strategy to the conversion volume the algorithm has to learn from:
The common mistake is switching strategies too early or too often. Google's algorithm needs at least two to four weeks of stable signal to learn each new strategy. Changing every fortnight resets the learning and you never get the lift smart bidding is capable of.
Negative keywords stop your ads from showing for searches that look related but are commercially wrong. Two-percent rule: any search term that consumes more than two percent of spend without converting should be evaluated for negative-list addition.
Standard negative categories for most B2B and B2C accounts:
Run the Search Terms report weekly. Add new negatives at the appropriate level (campaign, ad group, or shared negative list). Most accounts cut cost per acquisition by twenty to forty percent over the first three months of disciplined negative-keyword work alone.
The feed is the most important asset in any Shopping campaign. Algorithm-friendly product data outperforms creative spend every time.
The most common mistake: treating the feed as a one-off setup. Feed quality compounds over months. Add attributes monthly, clear Merchant Center errors weekly, align product types to how customers actually search.
Conversion tracking is the foundation everything else stands on. Smart Bidding cannot improve what it cannot measure.
Implementation through Google Tag Manager gives the most flexibility. Avoid tracking that depends on a single developer being available. Document everything in a tracking spec that lives with the account.
Modern Google Ads rewards consolidation, not fragmentation. The old single-keyword-ad-group pattern wastes signal. The new playbook:
Above one hundred conversions per month, consolidating into fewer larger campaigns lets Smart Bidding learn faster and outperforms a many-small-campaign structure.
Yes, with discipline. Google requires advertiser verification for financial services in most markets and has specific policies for insurance, lending, and investment products.
Compliance is the precondition, not the constraint. Once the account is verified and creative is reviewed, the regulated-industry accounts in our portfolio outperform less-regulated peers on Google Ads return because buyer journeys are more deliberate and customer lifetime value is higher.
General senior-practitioner guidance, current as of 16 May 2026. Not legal or compliance advice. Confirm current regulator positions with MAS, ASIC, FTC, FINRA, OSFI, OAIC, IMDA, or PDP-MY counsel before acting.
Google is force-migrating every eligible Dynamic Search Ads campaign, automatically created assets (ACA), and campaign-level broad match settings into AI Max for Search starting September 2026. No opt-out and no new DSA campaigns after the cutover. Source.
Three pre-migration moves we run on client accounts:
For regulated-industry accounts, also enable the new text-disclaimer feature on Final URL expansion so creative stays compliant when AI Max generates new landing combinations.
Because they answer different questions, not because either is wrong. Google's own attribution docs are explicit about this.
The right answer: report Google Ads' own number for in-platform bidding optimisation, and GA4 for cross-channel allocation decisions. Reconciling the two into one spreadsheet is normal operating work, not a tracking bug to chase.
Server-side GTM (sGTM) runs the tag container on Google Cloud rather than in the user's browser. Google's developer docs.
The case for sGTM rests on four things:
Operator threshold: our default is sGTM for any client with monthly Google Ads spend above $30,000 or with substantial Safari and iOS traffic. Below that, the App Engine or Cloud Run hosting cost per month at SMB volumes) typically does not pay back fast enough.
Strictly: no. Consent Mode v2 is mandatory in the EEA and UK for advertisers using Google audience features. Google docs.
Practically: yes, install it anyway. Three reasons:
Three professional-grade methods:
Marketing Mix Modelling (MMM) is the right tool above $100k monthly Google Ads spend or when channel allocation across 5+ paid channels needs to be defended at board level. We use Google's open-source LightweightMMM as a starting point.
Two-to-three weeks of senior specialist work on your live account. The deliverable is a written findings document plus a 90-day execution plan. Specifically:
The findings document is yours regardless of what happens next. If you take it in-house, we hand off cleanly.
These names describe the same category of work in slightly different vocabulary. Buyers tend to default to whichever term their previous agency or in-house team used.
leapbuzz works across the full set: Google Search (the dominant commercial-intent surface), the rest of Google Ads, Microsoft Bing Ads, Generative Engine Optimisation (GEO) and AEO. Buyers can engage us under whichever framing fits their internal vocabulary. The audit deliverable is the same regardless of which term you searched on.
Match the engagement model to the maturity of your media operation, not the size of your business.
leapbuzz works as agency or consultant depending on the engagement shape. We do not pitch in-house hire replacement because that is not honest framing of the trade-offs.
The Singapore Google Ads agency market is concentrated around a small number of senior teams with regulated-sector experience. The buyer's filter should be:
leapbuzz is one such operator team, founded 2023 in Singapore by Siddharth Surana with 18+ years of senior practitioner experience across insurance, banking, and fintech advertising. We currently run paid media for Travel Guard Singapore and discuss other engagements under NDA on request. Our default starting point is the two-to-three-week audit, findings document yours regardless of next steps.
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.
The candidate set is narrow because Google's Financial Services Verification (enforced in Singapore from earlier in 2026, in Malaysia from 14 April 2026) is non-trivial to sit alongside. Plus the underlying regulatory framework requires fluency: MAS Payment Services Act for digital payments, Securities and Futures Act for capital markets, Financial Advisers Act for robo-advisors, and the MAS Guidelines on Fair Dealing for retail conduct.
leapbuzz is one of those candidates. We have run paid media for retail banking, life insurance, travel insurance (Travel Guard Singapore is the named live client), and fintech accounts spanning APAC. Bancassurance is a defensible niche given Singapore is the global high-water mark at 60 percent of life premiums distributed through bank partners (MAS, via Magic Consult July 2025). We discuss specific carrier or bank relationships under NDA in the audit conversation. Our compliance posture is documented in the regulated-industries FAQ above.
Take over, in almost every case. Starting fresh wastes the conversion data, learning, and Quality Score history that the existing account carries. The standard pattern:
Fresh-start situations are rare and usually triggered by an MCC change, an entity ownership change, or a Google Ads policy strike that forced a clean account. The incumbent agency exit is handled professionally and we do not negotiate that for you, though we coordinate on transition timing once you have given your existing partner notice.
A senior specialist runs your account day to day. The founder, Siddharth Surana, participates in every engagement review and every quarterly strategy review. The team behind every engagement is the same group of senior practitioners based in Singapore and India, eighteen-plus years of cumulative paid media experience across insurance, banking, fintech, travel, and B2B SaaS. You meet the people on your account at engagement start and they stay on the account. If a senior specialist rotates off for any reason, we tell you before it happens and walk through the handoff.
We do not run a rotating bench of junior account managers and we do not subcontract the work. The single line we apply: if the work were our own business, would we let this person run our account? If not, they do not run yours.
Three patterns, picked per engagement shape:
We do not pitch month-to-month retainer theatre. The shape of the engagement matches the shape of the work, not a recurring billing template.
Three triggers consistently justify the spend on a senior outside read for an in-house team. First, the platform has shifted under you (AI Max migration, Performance Max defaults, Privacy Sandbox status changes, Consent Mode v2 enforcement) and the team is executing the old playbook because they have not had time to ship a new one. Second, costs are climbing without a clear cause: CAC drift of 15 to 30 percent over two quarters that internal diagnosis cannot pinpoint usually means a measurement gap (Enhanced Conversions for Leads missing, sGTM not deployed, GA4 plus Google Ads disagreement masked). Third, the buying committee is asking for a board-grade incrementality read and the in-house team has never run Conversion Lift Studies. The audit is the cheapest way to find out which of these is actually happening. Fixed price, 2 to 3 weeks, a written findings document yours regardless of whether you engage us beyond that.
The framing that beats channel-vs-channel debates: each platform serves a different stage of the buyer journey, and the right next-dollar question is which stage is currently your bottleneck. Google Ads captures existing demand (the user is already searching). Meta creates demand and retargets browsers. LinkedIn warms a known B2B buying committee. TikTok generates discovery and viral lift. If your bottleneck is non-brand search demand outrunning your ad budget (impression share lost to budget over 40 percent on commercial-intent keywords), the next dollar goes to Google Ads. If your bottleneck is awareness or new audience cold-start, the next dollar goes to Meta or TikTok. If your bottleneck is named-account penetration in B2B, LinkedIn. A senior audit reads the funnel and tells you where the marginal dollar earns the most, not which platform wins in the abstract.
Board-grade reporting on paid media in 2026 has three layers. First, business outcomes: cost per qualified opportunity, contribution to pipeline closed in the period, payback period on CAC. The board does not need impression count or click count. Second, attribution caveats stated up front: last-click attribution under-credits Google's role in mid-funnel by 15 to 40 percent on regulated-sector accounts; multi-touch attribution within Search Ads 360 plus CRM stage progression is closer to true. Conversion Lift Studies produce the only truly causal number; cite the most recent one. Third, the bets: what we tested this quarter, what worked, what we are killing, what we are scaling next quarter. The pattern that wins board confidence is naming what you got wrong (and what you learned from it) alongside what you got right. Hiding losses inflates board scepticism, it does not reduce it.
For multi-year B2B sales cycles, payback is gross-margin divided by CAC, expressed in months. Two finance-grade adjustments matter. First, fully-loaded CAC includes media spend plus platform fees plus sales-team allocated cost for opportunities sourced from paid, not just media cost. Second, payback on first-year contract value typically overstates payback (annualised value understates payback in subscription models). The defensible answer: under 12 months payback on first-year revenue is excellent, 12 to 18 months is healthy for considered-purchase B2B, beyond 24 months requires either higher LTV expansion or a margin-improvement plan. Quarterly cohort analysis (CAC by acquisition month, revenue realised by month) is the format your CFO will recognise. Google Ads should be one column in that view alongside the other channels.
Six things need to land 90 days before regulated-sector launch on Google Ads. (1) Brand-term protection: bid on your own brand from day one or competitors will buy it from you for 80 percent less than you would pay. (2) Compliance review of every ad asset against the regulator frame (MAS FAA-N03 for Singapore, ASIC RG 234 for Australia, FAA Section 36 for Singapore financial advice); creative review extends 3 to 7 business days for regulated FI clients. (3) Google Ads Financial Services Verification application submitted (Singapore and Malaysia enforced, global for credit and loans); approval takes 2 to 4 weeks. (4) Enhanced Conversions for Leads installed and tested with the lead pipeline, plus Consent Mode v2 wired against your CMP. (5) Lead-quality feedback loop from CRM back to Google Ads (offline conversion imports for SQL/MQL stage progression). (6) A negative-keyword list for jobseekers, free-seekers, students, competitors not running conquesting, and explicit non-target geographies. Most launches skip 3 of these 6 and pay for it for two quarters.
20-minute call, no deck, no templates, just honest thinking about your actual challenge.