93 demos and $780K pipeline in 90 days for B2B fintech SaaS

Client: B2B fintech software, AI underwriting and stacking detection for lenders

Channels: high-volume cold email + LinkedIn outreach, one scored list

Time: 90 days

Result: 93 demos, 191 unique repliers, $780K qualified pipeline

The product had a clear edge: it catches stacking fraud, verifies income and speeds up underwriting. But there was almost no pipeline. Inbound was slow, referrals were unreliable, and there was no way to reach underwriting and operations leaders at scale.

One scored list of 18,500+ verified contacts. Role, company size and relevant signals shaped it before the first send.

Cold email from warmed domains. 21 core and signal-based sequences, each built around a real problem: stacking risk and slow underwriting.

LinkedIn outreach on the same list. 8,900+ connection requests from dedicated profiles. LinkedIn added trust and follow-up while email carried the volume.

Same-day reply handling. Every positive reply moved to a booked demo. Trial links went out by hand to engaged prospects.

Summary card built from live campaign data. Deal counts and revenue on the card are client-reported where published; otherwise the card estimates them at 1 in 3 positive replies.

18,500+ leads contacted (people, not emails sent)

191 unique repliers, about 1 in 100 contacts

93 demos booked

$780K qualified pipeline: 93 demos x $8,388 annual contract on the highest-tier plan

The system was still speeding up when the engagement closed. Pipeline is not closed revenue.

A specific problem. Stacking risk and slow underwriting gave every email a measurable reason to reply.

Both channels on one list. The same buyer saw the email and the LinkedIn request, so neither felt cold.

Hands-on follow-up. Trial links sent by hand turned interest into demos.

Read the full case study: demanddept.com/case-studies/mca-fintech

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