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

$800k+

PIPELINE GENERATED

150%

SALES INQUIRY LIFT

2x

BOOKING RATE

~20hrs

WEEKLY ADMIN SAVED

The Challenge

600 signups/month but only ~10 sales inquiries
No formal sales motion — mostly inbound and free trials
No way to identify or target enterprise buyers
Founder spending 20–30 hrs/week on manual follow-up
Usage-based pricing made enterprise buyers hard to spot
No trial nurture, no-show handling, or reactivation system
Major accounts (Netflix, OpenAI) signing up with zero follow-up

The Solution

Deep discovery from historical calls, CRM data, and trial analysis
Lookalike campaigns based on best customers + competitor displacement
Unified CRM pipelines with lead scoring and automated routing
Automated email + SMS follow-ups with Slack alerts for enterprise signups
Trial nurture sequences, abandoned signup recovery, and no-show handling
Reactivation campaigns for expired trials and anonymous visitor outreach
Helped hire and enable an SDR, doubling booking rates

The 3-Phase Playbook

1

Deep Discovery

Historical calls + trial
data + buying triggers

→

2

Launch Outbound

Lookalike + competitor
displacement campaigns

→

3

Rebuild Inbound

CRM + nurture + scoring
+ enterprise alerts

Metric	Before Pipeline Playbooks	After
Sales Inquiries	~10/month	~25/month (+150%)
Trial Signups	600/month	800/month
Pipeline	Not tracked	$800k+
Booking Rate	Baseline	Doubled
Founder Admin	20–30 hrs/week	Mostly eliminated

Key Learnings

1

Outbound Exposes Inbound Leaks

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

2

Discovery Before Targeting

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

3

Enterprise Hides in PLG

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

4

Systems Free Founders

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