Paid social advertising and digital media buying for accounts running integrated paid programmes.

Performance Marketing is the channel-mix, attribution, and management layer across every paid channel. Paid Social is the discipline layer above Meta, TikTok, LinkedIn, Reddit, and X specifically.

Paid Social covers creative production at scale, community management alongside paid spend, brand-safety overlays tuned to social-specific risk, and the measurement stack paid-social platforms emit. Most engagements run both. Performance Marketing decides where the next dollar goes; Paid Social decides how it gets spent inside the social platforms once it gets there.

Four practices running together.

1. Creative production at the cadence the platforms reward (3 to 5 variants per campaign per week on Meta, daily on TikTok during launch).
2. Community management on the comments, replies, and DMs the paid push generates, not as a separate function.
3. Brand-safety overlays at the placement level (Audience Network exclusion, TikTok in-feed pacing, Reddit subreddit allow lists).
4. Paid-social-specific measurement (Meta Conversions API, TikTok Events API, LinkedIn Insight Tag, Consent Mode v2) wired before launch, not patched after.

Three triggers usually justify a senior outside read.

1. Creative output cannot keep up with platform cadence (Meta wants weekly fresh assets per campaign; TikTok wants daily during launch).
2. Event Match Quality on Conversions API drifts below 6.0 and the in-house team does not have the server-side GTM depth to fix it.
3. The board is asking for incremental ROAS rather than platform-reported ROAS, and nobody has run a Conversion Lift Study.

The audit reads which one is breaking the programme. Findings document yours regardless of next steps.

Three lenses, applied platform by platform.

• Audience fit: does your buyer actually spend time there at a stage where conversion is realistic?
• Creative fit: do you have or can you build the format the platform rewards (Reels for Meta, native vertical for TikTok, Document Ads for LinkedIn, comment-native copy for Reddit)?
• Signal integrity: is the platform receiving clean Conversions API or Events API data with Event Match Quality (EMQ) above 6.0?

The audit publishes a per-platform recommendation rather than a generic ranking. Every engagement is scoped to your data, industry, and market.

Three layers.

1. Business outcomes first. Cost per qualified opportunity sourced from social, contribution to pipeline closed in the period, payback period on customer acquisition cost.

2. Attribution caveats stated up front. Platform-reported ROAS is overstated against true incremental lift. Cite the most recent Conversion Lift Study for the causal number.

3. The bets. What creative or audience we tested this quarter, what scaled, what we killed, what we are scaling. Naming what you got wrong alongside what you got right is the pattern that wins board confidence on a channel as creative-volatile as paid social.

Payback is gross margin divided by fully-loaded customer acquisition cost, expressed in months. Fully-loaded includes media plus platform fees plus creative production plus the sales-team allocated cost for opportunities sourced from social.

For B2C: under 90 days payback on first-purchase margin is excellent; 90 to 180 days healthy.

For B2B with multi-year contracts: under 12 months payback on first-year revenue is excellent; 12 to 18 months healthy.

Quarterly cohort analysis (acquisition cost by month, revenue realised by month) is the CFO format.

Paid social earns the next dollar when demand creation is the constraint (the category needs awareness or consideration built before search captures it), when the creative inventory exists to feed weekly testing, and when the audience targeting and signal integrity are good enough for the platforms to find them.

Search earns the next dollar when intent is already in market and capture is the constraint. Brand earns the next dollar when reach, recall, or consideration are underbuilt against the category benchmark.

The audit reads your funnel and tells you which lever has the highest marginal return.

Six items 90 days before launch day.

1. Conversions API and TikTok Events API dual-tagged with browser pixels at Event Match Quality (EMQ) 7.0 or higher.
2. iOS App Tracking Transparency (ATT) consent flow live with a measured opt-in rate baseline.
3. SKAdNetwork conversion-value mapping ranked correctly.
4. Regulator review on every asset (Singapore: MAS FAA-N03, burnt-in disclosure on video, creator authorisation log on Spark Ads).
5. Community workflow staffed for launch-day reply volume.
6. Brand-safety exclusion lists locked (Audience Network off for finance verticals, Reddit subreddit allow list locked, TikTok in-feed pacing reviewed).

Most launches skip three of these six and pay for it for two quarters.

Three structural changes.

1. Conversions API and TikTok Events API become non-optional. Any signal flowing only through the browser pixel is missing iOS opt-out traffic.
2. Aggregated Event Measurement on Meta and SKAdNetwork on iOS need conversion-event ranking decided up front, because you only get a fixed number of postbacks per install.
3. Modelled conversions become a larger share of the report. The engagement labels them as modelled so the board does not confuse them with deterministic data.

Apple has refined ATT prompts and consent flows several times since launch. The engagement re-baselines opt-in rate every quarter.

Senior specialists own creative direction. Production runs on a tooled-up cadence: TikTok Symphony Creative Studio for the 48-hour testing loop, Meta Advantage+ creative variants seeded from a vetted master library, LinkedIn Document Ads built on the longer-dwell format.

Per-platform variant counts are tuned to platform velocity (3 to 5 per Meta campaign per week, daily on TikTok during launch, 1 to 2 per LinkedIn campaign per fortnight). Brand-safety review runs on every asset before publish. For regulated sectors, every variant clears the compliance pipeline before scheduling.

Three patterns based on engagement scope.

• Your in-house team handles community with our playbook (escalation paths, brand-voice library, compliance-flagged-comment workflow).
• Your existing community team plugs into our paid push. We feed them the comment volume forecast 24 hours before each campaign goes live.
• Embedded retainer: senior specialists at leapbuzz coordinate community-and-paid as a single discipline.

Community cannot be a separate function from paid. The comments on a paid post are part of the asset.

Three layers.

1. Placement exclusion: Meta Audience Network off by default for finance and insurance. Reddit subreddit allow list locked rather than block list. TikTok in-feed pacing reviewed for category-adjacent risk.
2. Asset review: every creative clears the regulator frame before scheduling (Singapore: MAS FAA-N03, on-screen disclosure burnt into the video, creator authorisation log on Spark Ads partnerships).
3. Auditable workflow: every approval logged so compliance can reconstruct brief-to-publish for any asset that runs.

MAS, FCA, OSFI, ASIC, and OCC accounts have run on this pattern across the team's history.

Monthly: cost per outcome by platform, conversion rate by stage, pipeline contribution from social-sourced opportunities, payback period on customer acquisition cost.

Quarterly: Conversion Lift Studies on Meta and TikTok where volume supports it, Brand Lift on YouTube partnerships running over $50,000 spend, marketing-mix-modelling (MMM) refresh on the cross-platform read, competitive share-of-voice analysis.

We do not report on raw impressions or raw clicks without context. The report tells you whether the spend moved the metric you care about.

Per platform, with cadence tuned to volume.

• Meta Conversion Lift: every quarter on Advantage+ Shopping campaigns above the volume threshold.
• TikTok Conversion Lift: on Spark Ads partnerships running at scale.
• LinkedIn matched audiences test: annually on B2B Account-Based Marketing campaigns.
• Reddit holdout test: annually on subreddit-targeted campaigns.
• Matched-market holdout: annually on the overall social programme to read the always-on baseline.

Threshold rules of thumb.

• $50,000 monthly spend plus 50 or more weekly purchase events is the practical floor for Advantage+ Shopping to outperform manual Dynamic Product Ads.
• Event Match Quality 7.0 or higher on Conversions API.
• Catalog feed clean with no failed-product percentage above 5 percent.

Below the threshold, hand-built Dynamic Product Ads keep control of the conversion-event volume the AI needs to learn from. The audit reads where your account sits on the curve and prescribes the architecture per platform.

LinkedIn carries the senior decision-maker reach: Account-Based Marketing against named target lists, Document Ads (the highest-dwell format on the platform), Thought Leader Ads to amplify named-author insight.

Meta carries the off-platform retargeting layer and the mid-funnel content distribution. Reddit carries category-research intent capture where the target buyer is active in named subreddits.

The mix is sequenced: LinkedIn for prospect-list demand creation, Meta and Reddit for amplification and capture, with cross-platform attribution running through your CRM rather than platform-reported metrics.

Three patterns.

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

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

A senior specialist is named on every engagement. For most accounts that means one of the four leadership team members sits inside the account from the first conversation:

• Siddharth Surana, Founder and CEO, 18+ years. Ex-Regional CDO Havas, ex-COO Media360, Programmatic Pioneer APAC 2011.
• Sundeep Surana, Managing Director, 16+ years.
• Ratnakar Nemani, Operations Director, 11+ years, Google Ads Certified.
• Nitesh Sanghvi, Search and Social Director, 11+ years, Google Ads & Google Analytics certified.

50+ combined years across leadership. No account-manager handoff after the pitch.

Three structural differences.

1. Compliance pipeline first. Every ad asset clears MAS FAA-N03 review before scheduling: burnt-in disclosure on video, creator authorisation log on Spark Ads partnerships, no implied returns or guarantees in copy.
2. Special Ad Category routing on Meta. Lookalike audiences disabled, age and geography targeting restricted, creative reviewed against Financial Products policy.
3. Auditable workflow. Every approval logged so compliance can reconstruct brief-to-publish for any asset that runs.

The engagement scope adds review time but does not change the channel mix. MAS, FCA, OSFI, ASIC, and OCC accounts have run on this pattern across the team's history.

Five anchor markets run on a single account architecture with market-specific overlays.

• Singapore + Malaysia (en-SG, en-MY): shared creative pool, separate budget and bidding, MAS / PDP Commissioner Malaysia compliance pipelines.
• Australia (en-AU): ASIC RG 234 review on financial-services copy, ACMA-aware media buys.
• United States (en-US): FTC dot-com disclosures, state-specific compliance where relevant, SKAdNetwork tuning for iOS-heavy traffic.
• Canada (en-CA, fr-CA): OSFI Guideline B-13 for financial accounts, Quebec Law 25 consent management, French-language creative variants.

Global engagements outside the anchor five are taken where the work fits. Geography is signal, not gate.

Every engagement is scoped to the data, industry, and market. Pricing is banded by engagement type (diagnostic audit, build or restructure sprint, managed subscription, embedded retainer) rather than tied to a percentage of media spend. We do not mark up tool subscriptions or platform media spend.

International engagements are billed in the equivalent currency on every invoice. Tools, reporting, and quarterly incrementality testing are included.

Yes, on a structured handover pattern. Three phases.

1. Discovery and audit (weeks 1 to 3): we read the existing account end to end, document the structure, identify lift opportunities and risks.
2. Handover (weeks 3 to 5): account access, creative library, tracking setup, community workflow, reporting handoff. We work with the outgoing agency on a professional handover where possible.
3. First sprint (weeks 5 to 12): highest-priority fixes shipped, measurement baseline locked, first incrementality test scheduled.

We do not steal accounts mid-contract.

Three signals.

• Regulated-sector operating experience plus MAS FAA-N03 fluency.
• Technical depth on the 2026 paid-social measurement stack (Meta Conversions API, TikTok Events API, LinkedIn Insight Tag, server-side GTM, Consent Mode v2, Event Match Quality tuning, iOS ATT calibration).
• Senior specialist involvement on the account, not an account-manager funnel.

Our leadership: Siddharth Surana (Founder/CEO, 18+ yrs, ex-Regional CDO Havas), 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). 50+ combined years.

Travel Guard Singapore is our named live client. Engagements across the five anchor markets and global engagements where the work fits.

This is editorial, not financial advice or a regulatory recommendation. Refer to the named regulator publications cited above for authoritative guidance.