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How Louper Generated $800K in Pipeline With 160+ Signups

Video Collaboration Software · 11-50 employees · Salt Lake City

$800K+
PIPELINE GENERATED
157
BOOKINGS
150%
SALES INQUIRY LIFT
2x
BOOKING RATE

Before Working With Us

Louper is a video collaboration platform used by editors, producers, colourists, and VFX teams. They had strong product-led signups - but almost no sales motion, and no offer built to reach enterprise buyers cold.

  • ~600 signups/month but only ~10 sales inquiries - no motion turning usage into pipeline
  • No offer built for cold traffic; growth relied on inbound and free trials
  • No way to identify or reach enterprise buyers proactively
  • Founder spending 20-30 hrs/week on manual follow-up
  • Major accounts (Netflix, OpenAI) signing up with zero follow-up
  • No repeatable, predictable way to book sales conversations
The goal was clear: generate enterprise deals and build a repeatable GTM system.

The 3-Month Proof of Concept

We started with a focused 3-month proof of concept: one channel, cold email, done properly. Build an offer for cold traffic aimed at enterprise buyers PLG never surfaced, launch at volume, and book the meetings the free trial couldn’t.

1. Craft the Offer

Before writing a line of copy, we ran deep discovery - listening to historical sales calls, auditing CRM and trial data, and analysing which trials actually converted to paid and enterprise. Because Louper’s pricing is usage-based (not seat-based), enterprise buyers weren’t obvious on the surface. This gave us the traits, buying triggers, and language of real enterprise customers - and an offer that spoke to them, not the free-trial persona.

2. Launch at Volume

We launched cold email against tightly targeted accounts on dedicated, pre-warmed inboxes:

  • Lookalike campaigns based on Louper’s best enterprise customers
  • Competitor displacement campaigns targeting followers of alternative tools
  • Messaging grounded in real customer language and pain points
Louper Instantly dashboard showing 122k emails sent and 239 interested leads
122,787 emails sent across 120 days - 239 interested leads at 12.88% interest rate.

3. Scale the Winners

Outbound worked immediately - ~30 meetings/month and higher-quality enterprise conversations. Once we saw which offers, personas, and lists were converting, we pushed volume against those winners and started booking the enterprise meetings PLG had never surfaced.

Then We Scaled Sends & Automated the Busywork

Only after the POC proved out did we layer on nurture and automation to compound results and get the founder’s week back.

  • Unified, simplified CRM pipelines with lead scoring to flag high-value trial accounts
  • Automated email + SMS follow-ups, reminders, and Slack alerts for enterprise signups
  • Nurture sequences for trial users, abandoned signups, and no-shows
  • Reactivation campaigns for expired trials and outreach to anonymous website visitors
  • Call summaries auto-logged, CRM enriched with firmographic and contact data
  • Helped hire an SDR to follow up warm leads - doubled inbound booking rates

Outcome

  • Sales inquiries up 150% (from ~10 → ~25/month)
  • Trial signups increased from ~600 → ~800/month
  • Booking rates doubled on inbound leads
  • ~20 hours/week of sales admin eliminated
  • Enterprise pipeline became visible and actionable

Most importantly, Louper moved from reactive founder-led selling to a repeatable enterprise GTM system.

Key Takeaway

Louper didn’t need more traffic or more leads. They needed clarity on who their enterprise buyers were, systems to identify them early, and automation to convert interest into conversations. Once the leaks were fixed, both inbound and outbound became far more effective.

The Results

Metric Before After
Sales Inquiries~10/month~25/month (+150%)
Trial Signups600/month800/month
PipelineNot tracked$800K+
Booking RateBaselineDoubled
Founder Admin20-30 hrs/weekMostly eliminated

Key Learnings

01

Outbound Exposes Inbound Leaks

Launching outbound revealed that Netflix and OpenAI were signing up with no follow-up.

02

Discovery Before Targeting

Listening to historical calls and analysing trial data surfaced buying triggers no CRM report could.

03

Enterprise Hides in PLG

Usage-based pricing obscured high-value accounts - lead scoring and alerts made them visible.

04

Systems Free Founders

Automating follow-ups, routing, and nurture gave the founder 20+ hours/week back.

“You've done really, really well at getting meetings booked in our calendar with the right sort of people.”

Alex Williams

Founder & CEO, Louper.io

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