Effective predictive marketing has proven to be a unique differentiator for many companies, especially those in the technology sector. This allows them to achieve increasingly significant conversion results.
So much so that a study by Forrester
Consulting indicated that predictive marketing practically triples revenue growth opportunities compared to industry results.
Furthermore, it doubles the likelihood of technology companies occupying a leadership position in the market for the products/services they serve.
Want to be part of this movement?
Then read on and discover how to apply effective predictive marketing to your technology business.
The role of ICP within effective italy telegram data predictive marketing
There is a big challenge among technology organizations: identifying the maximum number of ideal leads to support the company’s rapid growth. In other words: your ideal customer profile (ICP) .
In other words, your company needs to understand
Where demand exists – and where it doesn’t. This way, your prospecting will be as efficient as possible.
Effective predictive marketing helps difficulties in implementing a matrix management structure create an ideal customer profile based on behavioral segmentation. This way, it is possible to go beyond the “industry-revenue-size-position” profile.
Data obtained through analytics and machine learning evaluates hidden signals. This allows us to analyze intent and fit, rather than focusing only on the standard factors mentioned above.
Because it analyzes the customer’s existing
Internal data, which in turn is enriched with cn numbers external data (which can be obtained with the help of your sales team).
This way, you will have in your hands a complex model of what makes your customers your customers: this is your ICP.
Actions that contribute to the success of effective predictive marketing
Below we list some actions that can be put into practice. To do this, you need to have all the data that was extracted. This way, your company applies predictive analysis:
Analyze and predict seasonal customer behavior
This is especially important for online sales, as the most successful e-commerce sites are those that highlight the products that consumers will want at a given moment.
In other words: tax payment
Period, adaptation to a new rule or law, among others.
Target the most profitable products to the customers most likely to buy them
After all, there is no point in generating an email or pop-up advertisement for admission management software for an IT student.
