Scoring involves assigning a score to each lead based on their engagement level, i.e. their behavior towards your brand and product. For example, a lead is said to warm up if they visit the pricing page. In simple terms, behavioral scoring gives a clear idea of the maturity level of your leads.
This is a powerful technique that can help you optimize your prospecting strategy. It is used in particular to segment your web traffic. The behavior of prospects towards a site or several sites can in fact be translated into a score. Similarly, their behavior recorded upon receipt of emails (opening, clicks), for example, can allow you to
evaluate their position within the sales funnel
There are three main levels of engagement: education, consideration, and decision. The message you send to prospects evolves at each acquisition stage. You can personalize your educational content as your prospects engage. In fact, it’s essential specific database by industry to educate your target before you present your services to them.
Scoring by categorization allows you to optimize your web-tracking and retargeting campaigns. This classification helps eliminate off-target visitors when it comes to follow-ups. The pages are classified according to the prospect’s predisposition to purchase. These are:
AI helps collect data about your customers
Artificial intelligence Боје Серфауса постале су has definitely succeeded in conquering the world of marketing. In BtoC, it has become essential for marketing departments in implementing their digital strategy. In BtoB, the situation is a little more complex since it is not easy to collect relevant data on companies.
Marketing automation to segment your prospects
This extremely detailed contact list will allow your marketing teams to generate qualified leads ready to be converted into customers by your salespeople. On this point, Magileads strives to update its database almost daily. You can therefore be sure to work with reliable and relevant data.
Machine learning allows you to make relevant predictions in terms of behavioral scoring. Data scientists have developed this technology aleart news to simulate human learning. Thanks to it, you will be able to empirically study the mechanism that guides the choice of your prospects and anticipate their behavior.
Computer programs use deep learning software to study and analyze your prospect’s scoring. It is interesting to see how these algorithms improve over time. The interest of this verbatim analysis is crucial insofar as it allows marketers to draw relevant conclusions about the profile or behavior of prospects. This upstream preparation facilitates decision-making and allows for greater efficiency.
