Did you know that we use grow your business Hacking concepts to work on the growth of your business ? And one of these practices is to use the experiment methodology for this. Continue reading to understand more about the topic and how to apply it to your company too.
What are experiments?
Experiments are a fundamental part of our Growth Ops operation , as they are how you will discover which strategies work and which ones don’t. Experiments are known as constant tests that you will do with conversion materials , such as telegram data landing pages and email marketing, for example. The best-known experiment is the A/B test, which basically consists of running two versions of a material, with just one different variable between them to see which of the options generates better results.
How to apply the experiment methodology
Below we will show you the steps involved mistakes to avoid in b2b in developing an experiment methodology so that you can better understand how we work and how the largest companies in the world act to achieve highly scalable results.
1 – Identify the demand
The first step is to identify which areas ao lists should be prioritized through bottlenecks and opportunities , the best way to do this is through data that will help identify problems and opportunities.
2 – Create hypotheses
Once you have identified the problem or growth opportunity, it is time to think about what should be done to make the most of it. It is important to think about solutions focused on improving the problem or exponentially increasing the opportunities raised and define metrics that you want to impact with the solution considered.
3 – Model the solution
With the hypotheses and metrics defined in hand, it is time to involve professionals in the process to select the tools that will be used. What the experiment activities will be and how often monitoring will be carried out.
4 – Test
The most important moment has arrived: putting what was planned into practice. Testing is the time to collect data that will give you important information. The more tests you do, the more data your team generates that can be analyzed, making learning increasingly faster.
Evaluate the results
Contrary to what everyone thinks, there is no such thing as a correct result . The important thing is to observe the test results to learn and identify what went right and wrong. If you have read the book Hacking Growth. You will remember that a satisfactory result is not an increase in the conversion rate. For example, of 5%, but rather an increase of 30% or 40%. This shows that your hypothesis and your test. Were assertive and you can now scale the solution found to the rest of the operation.
Implement or discard
As we said above, if your hypotheses were confirmed. Understand how to scale these results and the process established to achieve it.
Growth Hacking is based on experiments and data analysis before scaling certain strategies.
