In times of digital transformation, there has been a lot of talk about Predictive Marketing . And the reason for this is very simple: your company wants to speak to the right audience, using the right language, at the right time. And how can you know all this? By combining the best of Analytics
data and segmentation – and thus predicting how your potential customer will behave. To learn more – and especially what your company needs to achieve results of this type – we have prepared this article for you. Read on for more!
Understand the concept
Predictive Marketing is the process of leveraging your data and using it strategically to improve your relationships with your target audience.
When your company gains a deeper understanding of your customer , you can not only better understand their needs, but also predict them.
This way, you can deliver solutions to problems that they may not even have seen yet. This way, your company gains the status of a facilitator – and the heart of your customer.
Difference Between Predictive Marketing and Analytics
The big difference between these two concepts is being able to look into the future and gain greater power of action – something that Analytics iran telegram data alone will not do for you and your company.
Predictive models are the great solution that many companies are looking for today, as a way to anticipate their customers’ needs, a unique advantage that puts your brand ahead of the competition.
Current models, such as marketing automation
Help understand behavior based on what 7 tips for stressed self-employed people your customer has been doing in the past.
It allows you to understand how prospects responded to various marketing channels or which campaigns performed better than others.
Predictive marketing, on the other hand, is functional for the entire marketing team to make assertive, data-based decisions.
Goodbye guesswork, hello diagnosis
Much of the marketing done by companies sad life box today is based on guesswork and assumptions. This poses a high risk: what if what you consider to be your company’s target audience is wrong?
You may have wasted a lot of money, time and energy.
With predictive marketing, you can gather more data to more accurately anticipate how your potential and past customers will behave next.
How to apply predictive analytics
To the success of your marketing strategies
Check out some applications of predictive marketing in your company’s strategies below:
– Improve your intelligence about your customers
The information in your database can be a good start to better understanding your customers. And add this to a predictive platform that brings together customer data collected from all areas of your company: marketing, sales, finance, technical support and product.
– Know who your best customers are: the right person
With all this data in hand, it’s time to create profiles of your best customers. What is their purchasing journey like ? How do they become loyal customers? What marketing efforts generated the most engagement among them? Their reasons for buying your product.
This way, you can understand which of these attributes combine and correlate to turn a prospect into a customer.
– Create more impactful marketing campaigns:
The right thing at the right time
Now that you know how your ideal customer behaves through the stages of their buying journey, use predictive analytics to determine the type of actions that most helped convert sales.
– Increase customer loyalty and reduce friction points
As we have said several times, it is more expensive to acquire new customers than to retain those who have already converted.
You can use predictive marketing to create profiles of your best customers and also to identify customers with a high risk of attrition.
With this information in hand, you can take preventive measures to ensure the assertiveness of the process.