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.
- Strong product-led growth, but only 2 enterprise leads a month and 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 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
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.
Email Plus a Phone
No LinkedIn on this one, and we won't pretend otherwise. Louper's engine ran on two channels: cold email to reach the enterprise accounts PLG never surfaced, and someone on the team calling to close the loop on the ones who went quiet. Automated SMS and Slack alerts caught every signup as it landed, so an account like Netflix or OpenAI was never sitting unworked again.
Two channels, not three or four, but the same principle: don't rely on one door, and follow up until someone answers.
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 someone to call and follow up warm leads, closing the loop email alone couldn't
Outcome
- Sales inquiries up 150% (from ~10 → ~25/month)
- Trial signups increased from ~600 → ~800/month
- 157 meetings booked, up from almost none
- ~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%) |
| Enterprise Leads | 2/month | 9/month (4.5x) |
| Pipeline | Not tracked | $800K+ |
| Meetings Booked | Almost none | 157 |
| Founder Admin | 20-30 hrs/week | Mostly eliminated |
Key Learnings
Outbound Exposes Inbound Leaks
Launching outbound revealed that Netflix and OpenAI were signing up with no follow-up.
Discovery Before Targeting
Listening to historical calls and analysing trial data surfaced buying triggers no CRM report could.
Enterprise Hides in PLG
Usage-based pricing obscured high-value accounts - lead scoring and alerts made them visible.
Systems Free Founders
Automating follow-ups, routing, and nurture gave the founder 20+ hours/week back.