This is a representation of reality to find the relationship between some variables. The technique requires information technologies, part of the digital transformation , Big Data and management skills.

Thanks to this tool, you can find business opportunities, know the market share, identify segments, in short, a wealth of information to make decisions based on data that generate the greatest profitability and dividends for Marketing and Sales strategies.

4. Attribution model

For the execution of Digital Marketing, attribution  usa phone number data is one of the most innovative methods of approach.

This model allows you to use algorithms and rules to efficiently manage available resources in order to convert and sell . For example, when buying online ads, email campaigns, among others.

It also allows marketers and programmers to decide how useful each channel is for conversion success.

Using regression techniques, advanced algorithms and statistical models, greater insights into the reality of the strategy are generated and channels are optimized.

The analogy that becomes clearest to understand this analysis is with football.

When a player scores a goal after receiving a spectacular and improbable pass, what percentage of participation is attributed to the one who scored and the one who gave the pass? Depending on the circumstances, it will be greater or less.

The same thing happens in the field of Marketing.

If a customer had their first interaction with the company through social media, but accessed many pages of the blog before becoming a consumer, an attribution model must be carried out to understand how efficient those channels were throughout the customer’s journey.

5. Time series analysis

• number of visits to a blog;
• conversions;
• subscriptions;
• sales figures;
• downloads of rich materials, among others.

Obviously, the values ​​resulting from time serie 10 best sales crm software tools and solutions s analysis are not completely accurate, but by following a regularity in the series and the correct formulas, it is possible to model and, thus, predict the results.

This model is very interesting for managing a blog, for example. When defining the growth goals for that channel in the coming months, you have to take its performance in the previous months as a reference.

During peak months, many professionals tend to go on vacation, so the volume of hits on your blog may be lower

Now, it is important to clarify that, while collecting information is a fundamental part of the process of data analysis techniques, what to do with it is the other pillar. If you want to know more, keep reading!

What to do with the information generated by the techniques?

Once you have all your data sorted and cleaned up — el leads  part of the skills that make for good data analysis — the most critical thing is to understand what it means and what kind of information you have behind all the numbers and behaviors.

Knowing how to interpret data is one of the most crucial challenges that marketing teams face when trying to make accurate and relevant decisions, allowing each member to achieve greater autonomy.

Google Analytics

This Google tool allows any team or person to analyze the receptivity of their audience to the