Home Technology The metrics you can’t afford to ignore: What the best CEOs know

The metrics you can’t afford to ignore: What the best CEOs know

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The metrics you can’t afford to ignore: What the best CEOs know

Be a part of Gen AI enterprise leaders in Boston on March 27 for an unique evening of networking, insights, and conversations surrounding knowledge integrity. Request an invitation right here.


This week’s visitor is so good I want there was an 1-800 quantity to name him once I had questions on firm constructing. Ray Rike is a founding member of the SaaS Metrics Requirements Board. His workforce runs the trade’s largest SaaS benchmarking Index —  with 18,000 distinctive SaaS corporations and greater than half 1,000,000 knowledge factors.

He’s the individual you ought to know if you need to run a enterprise with excessive self-discipline, effectivity and reliability.

On this CarCast, we cowl progress, revenue, buyer acquisition, churn metrics and the 5 metrics you want to know to be an distinctive CEO and operator.

We cowl

VB Occasion

The AI Affect Tour – Atlanta

Persevering with our tour, we’re headed to Atlanta for the AI Affect Tour cease on April 10th. This unique, invite-only occasion, in partnership with Microsoft, will function discussions on how generative AI is remodeling the safety workforce. Area is proscribed, so request an invitation right this moment.


Request an invitation

  • The rule of 40
  • The buyer acquisition price (CAC) ratio
  • The CAC payback interval
  • Internet income retention (NRR)/ gross income retention (GRR)
  • The CLTV:CAC ratio

I’m going “Warren Buffet” on Ray by asking to give his high 10 priorities, then inform him “trash 2 by means of 10 and let’s concentrate on simply #1”.

Lastly, you may need to take a look at the Eight steps in the newest McKinsey and Firm analysis relating to organising your generative AI tech stack. They embody:

1. Decide the firm’s posture for the adoption of gen AI.

2. Establish use instances that construct worth by means of improved productiveness, progress, and new enterprise fashions.

3. Reimagine the know-how operate.

4. Make the most of present companies or adapt open-source gen AI fashions.

5. Improve your enterprise know-how structure to combine and handle gen AI fashions.

6. Develop an information structure to allow entry to high quality knowledge.

7. Create a centralized, cross-functional gen AI platform workforce.

8. Tailor upskilling applications by roles and proficiency ranges.

Bruno Aziza is a know-how entrepreneur.

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