REVEALED: Validation growth hacking experiments are the most PROFITABLE
Which VALIDATION growth hacking experiments are the most PROFITABLE. – Access this in-depth report on never revealed secrets of +500 companies and +5000 participants who have successfully 10x their growth.
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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 VALIDATION 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 VALIDATION experiment is AB/n Testing. They yield the highest return as they widen the scope of exploration, yet structured enough to get results while using fewer resources for a relatively high rate of return.
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 measured are based on these 7 validation experiments:
- A/B tests
- A/B/n tests
- Smoke testing
- Multivariate tests
- Percent of experiments
- Holdback experiment
- Custom experiment
The most optimal validation experiment is A/Bn Testing, which yields the best outcomes based on the inputs that produce those results.
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