Unfortunately, the hypothesis did not work

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5. If we launch a promotion of tours to the annual tennis festival “Roland Garros” in Paris, we will attract a solvent audience and increase it by 10%

We got interesting results, attracted a sufficient number of leads at a low price. BUT! The test was a failure. The sales result was low due to the high cost of the tour itself.

Methods of testing hypotheses
Let's consider one of the methods that we often used in our practice

A/B testing

We conducted A/B testing, compared several versions of ghana telegram advertising to determine the most effective. Experiments helped to determine the most attractive creative options for the audience, choose the right call to action, improve advertising texts, select a relevant audience or placement locations.

Before choosing a variable for testing, it is important to formulate a hypothesis for testing. For example, you can assume that targeting an audience by demographic factors (gender, age) will be more effective than targeting an audience based on interests.

Monitoring and analytics of advertising campaigns
In order to properly analyze advertising and improve its effectiveness, we prepared a number of actions in advance to achieve the desired results:

Prepared everything we need for analysis:
formulated the goals of our advertising campaign;
set and agreed on KPIs with the client: it is difficult to analyze the effectiveness of advertising if you do not define important business indicators in advance. Ads can have good coverage, but if the goal of the campaign is leads and sales, then it is worth focusing on the CR and CPL metrics;
recorded current indicators to see changes;
immediately determined where we will collect analytics and how to visualize it;
connected the necessary goals, counters, pixels, etc. to advertising accounts.
2. Campaign tracking: