REVEALING Which type of growth hacking experiments are the most profitable

What type of growth hacking experiments are the most PROFITABLE – Access this in-depth report on never revealed secrets of +500 companies and +5000 participants who have successful 10x their growth.

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SUMMARY 

Benchmark data used to base measures optimal configuration of outcomes, resources, and execution for growth hacks. This helps growth hackers measure their success, but also to adjust their efforts. By doing this, it enables growth hackers to make better decisions, by lowering cost, risk, and efforts for better outcomes. 

This benchmark study aims to identify the most optimal TYPE of growth hacking experiments for the best return on investment, taking into account all factors. These factors are designed into inputs such as execution and resource measures and then finally, outcome measures illustrating the results from those efforts. 

The most optimal TYPE of experiments is Discovery- Broad – Small.  They yield the highest return as they widen the scope of exploration, yet structured enough to get results while using less resources for a relatively high rate of return.  

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RESULTS

The results based on solving for, which segment of the number of growth hacking experiments are most optimal based on the measure of outcomes vs. inputs (execution and resources)

The segments measured are: 

1. Type of experiment
   1. Validation
   2. Discovery

1. Experiment Scope
   1. Broad
   2. Specific

1. Size of experiment
   1. Small
   2. Medium
   3. Large
      

This provided an evaluation of 12 factors compared to find correlations: 

1. Validation – Broad- Small
2. Validation – Broad – Medium
3. Validation – Broad – Large
4. Validation – Specific – Small
5. Validation- Specific – Medium
6. Validation- Specific – Large

 

• Discovery- Broad – Small

 

1. Discovery- Broad – Medium
2. Discovery- Broad – Large
3. Discovery- Specific – Small
4. Discovery- Specific – Medium
5. Discovery- Specific – Large

 

 

 

 

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