How Arsalan Faysal built a high-trust paid media engine across LinkedIn, Google, and YouTube — driving a 34% increase in qualified sell-side conversations for a boutique M&A advisory firm.
A premium boutique M&A advisory firm had generated exceptional thought leadership, books, and educational valuation models. Yet they remained completely invisible to their ideal buyers: regional insurance brokerage owners ($5M-$50M enterprise value) considering an exit.
Because they didn't run programmatic targeted campaigns, competitors with far less experience secured mandates simply because they were top-of-mind. They depended entirely on organic referrals, meaning deals were highly unpredictable.
The cost of this missing brand amplification? Millions in lost advisor fees. Leads sat untouched, and transaction pipeline flatlined. They didn't need another creative agency to design brand decks; they needed a systematic architect to build a high-trust, targeted paid acquisition engine.
"This is not a high-volume lead generation role. We need a partner who understands executive audiences, long-cycle M&A deals, and how to programmatically scale high-trust conversions."
I stepped in as their Fractional CMO. We built an integrated account-based campaign engine: high-intent LinkedIn sponsored carousels, Google Search STAG clusters matching transaction intent, and YouTube video retargeting.
Before drafting single ad copies, we audited their digital footprint. Our diagnostic revealed a structural error: previous agencies targeted "broad business owners" on Meta, generating cheap clicks from low-revenue retail businesses. Meanwhile, their ideal $10M+ B2B targets remained completely untouched.
Ad traffic coming from low-revenue sole traders.
Driven by broad match keywords matching DIY queries.
HubSpot CRM had no server-side conversion mapping.
Long consideration windows lacked active retargeting.
Flat, un-segmented databases are incapable of tracking 18-month deal stages. I designed a customized relational CRM schema inside HubSpot, mapping specific transaction attributes directly to custom company objects.
| Custom Property Key | Mapped HubSpot Object | Data Type | Automation / Segment Logic |
|---|---|---|---|
m_and_a_intent_topics |
Company (6sense / Intent) | Multi-line Text | Pulls active target keywords (e.g. "Sell-Side Broker") to route AEs |
target_firm_annual_revenue |
Company (ICP Profile) | Number | Strict filter. Must exceed $5M to enter active sales queues. |
deal_state_validation |
Deal (Pipeline Tracking) | Dropdown Select | Enforces step gating (Letter of Intent, Diligence, Closed-Won) |
last_meeting_notes_summary |
Contact (Activity Log) | Multi-line Text | Auto-populated by meeting transcript integration webhooks |
High-ticket M&A transactions cannot be closed with cheap, low-trust lead-gen forms. We engineered separate target pipelines across LinkedIn, Google Search, and YouTube, focusing entirely on educational, value-first conversion assets.
Targeted insurance brokerage founders matching specific headcount and region parameters on LinkedIn. Ad creatives avoided flashy pitches, delivering premium valuation checklists and M&A case study briefs.
We dominated narrow, high-intent keywords (e.g. "insurance business valuation," "independent brokerage sell-out") using strict Single-Theme Ad Groups (STAG), blocking DIY waste keywords entirely.
Busy corporate executives do not respond to generic "contact us" forms. We developed an interactive "M&A Valuation Matrix" tool. When an executive inputs their firm's revenue parameters, an n8n webhook routes the data to verify target revenue before triggering an immediate AE task.
Replaced long, complex questionnaire pages with a high-value, single-page calculator. Founders input annual EBITDA and revenue metrics, receiving an immediate, accurate estimated valuation range, dropping bounce rates to 34%.
Upon valuation form submission, an n8n webhook extracts the data, cross-references with regional company registry databases via API, and immediately alerts senior partners if the business exceeds our target ACV.
Enter your target B2B company valuation size and targeted monthly ad budget below to see how our high-trust paid media engine (34% qualified conversation lift) models your projected advisory pipeline yield.
Assumes standard 4% average advisory commission fee on completed M&A transactions, with our proven 3.2x ad spend ROAS.
Audited dormant accounts. Built ICP for $5M-$50M revenue owners. Set up full conversion tracking.
Launched LinkedIn Content and YouTube pre-roll. Strong engagement signals established early on.
Refined LinkedIn targeting with lookalikes. Set up retargeting sequences. CPL dropped to $210.
Increased budget on top channels. Attributed $8.2M in pipeline. 12 qualified deals in negotiation.
“Arsalan completely changed how we think about paid media. He understood our long sales cycle. Within 6 months, we had over $8M in active deal pipeline. An absolute game changer.”
— Jessica (Founder, Boutique M&A Advisory Firm)
Toggle system modes below and select nodes on the pipeline map to run forensic diagnostics on GTM leakage points.
Agencies purchase outdated, stale target lists and execute bulk outreach. Messages land directly in spam folders, resulting in low delivery and burned domain reputations.
Low engagement metrics, damaged domain reputation, and high acquisition costs with zero high-intent opportunities created.
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15 min. No fluff. Just a blueprint to automate growth.