Case Study 1
# Churn & LTV
"I helped the CEO of a $20.3M/year company that was losing more clients than it gained. In just 21 days, I set up a system to activate high-value clients using regression analysis, created a feedback loop to find out why clients were leaving, and built an early warning system to spot those about to leave—which required connecting all the company's (slightly messy) data sources."
Symptoms: The company was losing customers faster than gaining new ones.
Root Causes: No data-driven way to focus on clients likely to stay. Lacked feedback to understand why clients were leaving. No warning system for at-risk clients.
Solutions:
- Built a regression-based activation model to find out exactly what the clients that stayed the longest had in common. Now the they target clients that by design stay longer.
- Set up a client feedback loop to uncover why clients were leaving.
- Implemented an early warning system to predict which of their 1,000+ clients were about to leave.
Outcomes:
- Almost twice as many one-time clients now become "regular" clients.
- They get notified when large clients' complex purchase patterns change, so they can reach out and save the client before they leave.
- They finally have control over their churn.
Case Study 2
# Sales Velocity
"I helped the Sales Director of a $15M+/year company fix inconsistent sales team performance by redoing recruitment, training, and scripts—in just 6 weeks."
Symptoms: Sales team performance was all over the place, causing sales to drop and become unstable.
Root Causes: Weak hiring process, poor training, and ineffective sales scripts.
Solutions:
- Redesigned the recruitment process to bring in better talent.
- Introduced proven training methods to boost skills and team morale.
- Revamped sales scripts to increase appointment bookings.
Outcomes (ongoing project): Early results show each sales rep is now booking twice as many appointments weekly—more updates to come.
Case Study 3
# AI & Automation
"I automated weekly lead list creation for a $10M+ B2B company, saving each sales rep ~9 hours per week. Before, it took them 2-3 hours to find 25 good leads to call. I solved this in just 3 working days."
Symptoms: Sales reps spent hours finding leads and could only call 30-50 per week, far below the Sales Director's goal of 100.
Root Causes: No automation for finding leads with good contact information, and add them to the CRM on autopilot.
Solutions:
- Coded a system to find newly founded companies that fit specific criteria, automatically adding them to the CRM each week.
- Automated the entire process, so the sales reps get fresh leads without any manual work.
Outcomes:
- Freed up 9+ hours per week for each sales rep, letting them focus on actually selling.
- They now call 2-3 times more leads than before.
Case Study 4
# AI & Automation
"I built an AI system to detect early signs of churn for a wholesale B2B company losing about $7 million annually due to clients leaving. Within 3 hours of going live, we identified four major clients who had stopped buying."
Symptoms: Lost $7 million each year due to client churn. No insight into who was leaving.
Root Causes: No system to spot clients at risk of leaving and no overview of lost clients.
Solutions:
- Created a simple dashboard of clients who had already left.
- Developed an AI tool that uses key KPIs and analyzes years of purchase trends to spot at-risk clients.
Outcomes:
- Within 3 hours, the system flagged four major clients who had stopped buying in the last six months—information the team didn't know.
- In the first 6 months the system notified the company of several large at-risk clients. The company was able to get ahead of and save several of them—because they had early warning signs.
Case Study 5
# Product Development
"I taught myself six forms of therapy and created a new treatment for treatment-resistant Trichotillomania. It achieved a 93% success rate in patients' first 30 days, outperforming existing methods by over 12 times."
Symptoms: Traditional treatments for Trichotillomania had very low success rates.
Root Causes: Existing methods didn't understand the complex nature of the behavior.
Solutions:
- Learned six therapeutic approaches and combined them into a unique model to understand Trichotillomania.
- This new understanding of Trich led to a very effective treatment process.
Outcomes: The process achieved a 93% success rate for patients in their first 30 days of using it, outperforming existing methods by over 12x.
Case Study 6
# Sales Velocity
"I increased an eCommerce store’s AOV by 134% and CVR by 138%, boosting revenue per visitor by 457%—without changing ad spend—in just 4 days."
Symptoms: Low Average Order Value (AOV) and Conversion Rate (CVR) were the two biggest limiters on the company's profitability.
Root Causes: No dedicated landing page, and no strategies to increase AOV.
Solutions:
- Redesigned the website to make purchasing easier for visitors.
- Created a dedicated landing page just to convert new customers.
- Implemented several strategies to increase AOV, including creating a bundle offer.
Outcomes: Revenue per visitor jumped 457%, with no increase in ad spend.
Case Study 7
# Sales Velocity
"I helped a friend’s eCommerce hobby project go from 0 to 3 MNOK in revenue in 12 months, with near-zero upfront marketing costs—maintaining a 26% average net (not gross) profit margin that year."
Symptoms: They had no revenue. They tried Meta ads, but couldn't get them to work.
Root Causes: Limited knowledge of eCommerce marketing strategies.
Solutions:
- Ran the numbers and identified the best way to increase sales velocity given the limited resources.
- Negotiated commission-based deals with three-four key influencers, eliminating upfront marketing costs.
- Scripted some simple VSLs for influencers to follow, with hooks, angles, and CTAs to test. We quickly found some winners.
Outcomes:
- The first campaign generated more revenue than the entire previous year.
- Reached 3 million NOK in revenue within 12 months.
- Maintained an average net (not gross) profit margin of 26% throughout the year—without doing any email marketing or retargeting.
Case Study 8
# Sales Velocity
"I built a cold outreach campaign for a UK B2B marketing agency. Of 300 carefully chosen prospects, my campaign generated ~100 positive replies—which resulted in 10 new clients for the agency. At that point they had to stop taking meetings, due to being at client capacity. That's a 33% positive reply rate to cold outreach—compared to the normal 1-5%."
Symptoms: Agency struggled to book enough meetings. This was the biggest limiting factor on sales velocity.
Root Causes: They sent generic cold emails that didn't feel personal and didn't address the prospects' #1 pain point.
Solutions:
- Carefully selected 300 prospects for a personalized outreach campaign.
- Chose a compelling angle and wrote a 4-step email sequence. A trained team of virtual assistants added personal touches (before GPT existed).
Outcomes: Achieved a 33% positive (not total) reply rate, leading to 10 new clients and full capacity for the agency—outperforming the industry standard 1-5% reply rate by a huge margin.
Case Study 9
# Sales Velocity
"I consolidated data from 7+ systems for a $20.3M/year company and showed the CEO new KPIs he had never seen. These KPIs explained why they hadn't grown in 3 years."
Symptoms: The company hadn't grown over the past three years and didn't know why. None of their many initiatives had made a noticeable impact.
Root Causes: Data scattered across 7+ systems, with leadership lacking visibility into critical KPIs. They were making decisions without solid data.
Solutions:
- Combined data from all systems into one unified dataset.
- Built key dashboards with essential information the CEO needed but couldn't access before.
- Introduced several new KPIs that explained why they hadn't grown in three years.
Outcomes: Leadership immediately understood why growth had stopped and gained clear insights on how to fix it.
