What is a hypothesis and why is it important to be able to work with them

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RFM Checklist: Briefly About the Main Thing
Before using RFM analysis, it is important to understand for what purposes it will be used in your business. This analysis should help you form a segmented customer base, but to achieve real results, you must be prepared to change your marketing strategy. If there are no resources to implement changes, the analysis can be postponed.
RFM analysis is not for everyone. If you have a startup, a small customer base, or a product that is bought once in a lifetime, you should look for another method of segmentation and customer interaction.
A clean and structured database is essential for RFM analysis. Use CDP platforms to automate data collection and segment updates.
Before you begin your analysis, define your segmentation criteria. Determine what frequency of purchases is considered frequent, what purchases are considered recent, and what amounts are small or large.
Segment your customers by ranking them into three groups based on each RFM criterion. This will create 27 segments. If necessary, combine segments into larger groups to simplify your analysis.
Develop an individual marketing strategy for each segment. Use chatbots list of afghanistan cell phone number on the website and in messengers, email newsletters, calls, retargeting, loyalty programs and promotions. Maintain loyal customers, activate inactive ones, try to return those leaving.
Evaluate campaign results to understand the effectiveness of your RFM analysis and adjust your strategy based on the data you receive.
Want to collect more targeted leads on the same traffic?
Contact the Carrot quest growth team — they will test up to 25 trigger messages with A/B tests in 1.5 months and help increase revenue by 25%.

We will offer the first mechanics for the site during a free consultation.Constantly generating ideas and testing them helps a business develop, but not every idea ensures growth. To find ideas that will help a business grow, hypotheses are created and tested. This helps to understand what result an idea can bring if it is implemented.

Hypothesis testing works for any ideas — from launching a new direction in a company to changing the font on the main website. In this article, we will share our experience of hypothesis testing with examples of client tests and results.

A hypothesis is an assumption about a possible solution that can lead to the desired result. For example, to increase the conversion of a website into an application, you can launch a proactive chatbot. But which of the bot's mechanics will be more effective - automatic qualification or, perhaps, a lead magnet - is still unclear. These are hypotheses.

In marketing, hypotheses are formed and tested at all stages of a company's development. They help:

find a working business model and scale the business,
master new platforms and audiences,
grow activation in the product,
work with customer retention and increase loyalty,
analyze the effectiveness of marketing channels.
All hypotheses are tested before implementation. This helps save time and budget, and reduces the risk of failure.