CASE STUDY · ScreenJournal AI x Starlabs

How We Turned a Broken Outbound Into 1 New Signup Every Day

AI-first outbound infrastructure for an early-stage B2B SaaS.

CAMPAIGN RESULTS

10×

Reply Rate Increase

from <1% → 2%

150×

Bounce Rate Reduction

from 15.1% → 0.1%

~1/day

New Signups

consistent, daily pipeline

Companies that trust StartLabs

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Before vs. After in Salesforge

The "BEFORE" sequence (Outreach): 5,346 contacts sent, 825 bounces (15.1%), only 4 replies (0.2%). The "AFTER" sequence (C1 ICP 1): 1,097 contacts sent, 2 bounces (0.1%), 30 replies (2.0%).

What We Fixed :

What We Fixed

Rebuilt the Sending Infrastructure

• Matched sender domains to receiver domains to improve trust signals.

• Removed low-deliverability domains dragging down inbox placement.

• Warmed up new Outlook domains over several weeks before scaling.

• Result: bounce rate dropped from 15.1% to 0.1% — a 150× improvement.

What We Fixed

Cleaned, Enriched & Curated the List

• Removed all invalid and risky email addresses from the database.

• Filtered contacts for genuine ICP fit — cutting volume in favour of precision.

• Removed all invalid and risky email addresses from the database.

What We Fixed

Ran Speed Blitz Messaging Tests

• Tested multiple short, punchy copy variations simultaneously — no multi- week debates

• Structured tests around three variables: problem statements, solution statements, and CTAs

• Identified winning angles within days, then doubled down on what worked.

What We Fixed

Tested Multiple Verticals to Find the Right ICP

• Ran outreach across multiple industries in parallel rather than betting on one.

• Tracked reply rates and downstream conversion by vertical and company profile.

• Identified the verticals where ScreenJournal resonated most strongly.

• Concentrated volume on proven segments — unlocking consistent daily signups

Replies Rolling In

"The product was not the issue. The distribution was.

— StartLabs team

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