📊Business Analytics & Performance

If You Had to Cut 50 Percent

AI shows what to keep when you need to dramatically simplify - a thought exercise that reveals true priorities.

Quick Answer

For search, voice, and "just tell me what to do".

The '50% cut' exercise forces clarity: if you had to eliminate half your products, customers, or activities, which would you keep? AI analyzes profitability, growth potential, and strategic fit to identify your true highest-value elements.

Key Takeaways:

  • Constraint reveals priority in ways abundance hides
  • AI calculates true contribution often masked by aggregation
  • Most businesses have significant drag they could eliminate
  • Simplification often increases profit more than addition

Playbook

1

List all products/services, customers, and activities

2

Use AI to calculate true profit contribution for each

3

Rank by contribution, growth trajectory, and strategic fit

4

Identify your top 50% in each category

5

Examine what you'd lose and what you'd gain by cutting the rest

6

Consider implementing cuts even without forced necessity

7

Use exercise regularly to prevent complexity creep

Common Pitfalls

  • Keeping low-margin offerings for 'strategic' reasons without testing
  • Emotional attachment to products/customers that don't contribute
  • Spreading attention too thin across too many priorities
  • Adding without subtracting until complexity kills efficiency

Metrics to Track

Revenue concentration (top 20% of customers as % of total)

Profit per product/service line

Time allocation vs profit contribution alignment

Complexity cost (overhead per product line)

FAQ

How do I identify what to cut?

Calculate true profit contribution for each product/customer/activity. Include all costs, including your time. The bottom performers are cut candidates, unless they have strategic value you can quantify.

What if I'm emotionally attached to things I should cut?

Separate the decision from the execution. First, identify what should theoretically be cut based on data. Then decide if emotional/strategic factors justify overriding the data. Don't let emotion skip the analysis.

How often should I run this exercise?

Annually at minimum. Quarterly during growth phases when complexity tends to accumulate. Immediately when facing pressure on margins, time, or cash flow.

Related Reading

📊Business Analytics & Performance

The Brutal Truth Dashboard

Build a dashboard that shows what's actually making money, not what makes you feel good.

📊Business Analytics & Performance

Vanity Metrics vs Reality

AI-driven signal detection helps founders separate metrics that matter from numbers that merely comfort.

📊Business Analytics & Performance

AI as a Profit Archaeologist

Unearth hidden revenue patterns buried in your business data that human analysis typically misses.

📊Business Analytics & Performance

From Data Noise to Clarity

How AI simplifies business analytics by filtering signal from noise, making data useful instead of overwhelming.

💹Cash-Flow Forecasting & Financial Clarity

AI Cash-Flow Forecasting for Small Businesses

Transform financial panic into predictability with AI-powered cash flow forecasting that reveals your true runway.

💹Cash-Flow Forecasting & Financial Clarity

Why Your Bank Balance Lies to You

Your bank balance is a snapshot, not a story. Learn how AI reveals the truth behind misleading account numbers.

Next: browse the hub or explore AI Operations.

Salarsu - Consciousness, AI, & Wisdom | Randy Salars