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Scarcity principle

Posted: Sat Feb 22, 2025 9:35 am
by zihadhasan010
This is one of the main mental triggers used in growth hacking, because it motivates people to buy the product immediately. This principle is based on the idea that everything that is scarce is more valuable.

When a consumer perceives (or is led to believe!) that a product is running out of stock or is restricted to a few people, they want to secure it immediately.

So, Marketing takes advantage of this trigger in its strategies to accelerate customer acquisition , without spending more money on advertising.

It was with this strategy that the Brazilian digital bank Nubank (which recently arrived in Mexico) grew and became so sought after. The user would only have their card if they received an invitation from a member or if they were on a waiting list that could last months.

This gave the impression that the product was amazing! It was no coincidence that the waiting list reached one million users.

You can also use this scarcity principle when you announce limited editions of your product or discounts until a certain date. Test and verify the impact of these actions on the results.

Constant testing
The culture of experiments demands latvia mobile database constant testing. The best known are A/B tests , which consist of running two versions of a material (a landing page or an email marketing campaign , for example), with only one variable different between them, and verifying which one generates better results.

To do this, it is essential to define which variable you want to evaluate and what result you want to obtain. For example, you can see if a certain email title generates more opens, but fewer conversions.

If your goal is to convert , then this test proved that the title does not work for what you want. As we said, growth hacking always aims at goals.

But it's not just A/B testing that can be done. Any kind of experiment can be applied to growth hacking. The only requirement is to trust the data to support the decisions.

You can, for example, run a software version for a select group of clients, check the results it generates, and then make the decision to put it (or not) into the process.