Case Study

AI SaaS VP of Marketing Generated $11M in Pipeline From $250K in 30 Days

The VP of Marketing at an AI SaaS company used B2B2C data filtering to target marketing agencies above a revenue threshold — bypassing SMB noise and reaching only the enterprise-adjacent buyers their sales team could actually close.


The Situation

The VP of Marketing at an AI SaaS platform was frustrated by low close rates on inbound leads. The product was priced for agencies doing $1M+ in revenue, but their ad targeting was bringing in small agency owners and freelancers who couldn’t afford the contract. They needed a way to reach agencies above a revenue threshold — not just anyone calling themselves a marketing agency.

$11M
Pipeline revenue generated
$250K
Total ad spend over 30 days

How It Was Done — Step by Step

1

Defined the Ideal Customer Profile With Revenue Filter

The team worked with Smart Marketer to define a precise ICP: marketing agencies with verified annual revenue above $1M, operating in specific verticals. This eliminated the long tail of micro-agencies that couldn’t convert.

2

Applied B2B2C Linkage to Match Agency Decision-Makers

Using B2B2C data, they matched the filtered agency list to individual decision-makers — founders, partners, and heads of strategy. Each contact included verified email, LinkedIn profile, and estimated seniority level.

3

Launched Multi-Channel Outreach Simultaneously

The audience was activated across three channels at once: LinkedIn outreach sequences, direct cold email, and Meta Ads retargeting using a custom audience upload. All three channels hit the same individual, creating perceived omnipresence.

4

Used Case Study Content to Accelerate Trust

Instead of a demo CTA, the first touch was a relevant case study — an agency of similar size that had used the platform to measurably increase margins. Proof before pitch dramatically improved response rates.

5

Routed Responders Directly Into Sales Sequences

Anyone who clicked, replied, or engaged with the content was automatically routed into a sales rep’s sequence with context attached — what they’d engaged with, company size, and revenue estimate. No cold handoffs.

The Result

Thirty days, $250K in spend, $11M in pipeline. The leverage came from the filter — by reaching only agencies above the revenue threshold, every dollar of ad spend and sales effort was concentrated on buyers who could actually close.

“We’d been running ads for two years and getting the wrong people. The moment we filtered by revenue threshold and reached actual decision-makers, our close rate tripled.”

VP of Marketing — AI SaaS Platform

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