Within the past few hours, the algorithms of Google and Bing changed a lot. A new revolution arrived with predictive SEO. It will allow you to plan excellent content for your future. It will help you predict the investment and even topics, that will be right for the future. However, the practice of predictive SEO varies from industry to industry. With this type of SEO, you will always stay a step ahead than your competitors. The ways how predictive SEOs works are given below.
There are three main use cases of predictive SEO when it comes to qualifying of leads- predictive scoring, personalization and identification models. You can take the help of professional SEO services to get yourself the best. Predictive scoring determines the respondence of leads to the attempts of marketing, and how they are going to take any sorts of activities on the basis of the information. Personalization includes the splitting of leads into multiple groups, to determine which lead is responding best to which type of texting and a lot more. Identification models concentrate on comparing past leads of the customers. It further allows you to identify new markets, which you were not aware of till date.
Customer behaviour modelling:
The most obvious use of predictive SEO is qualifying leads and conversions. But, it also helps in customer modelling, that can be classified into three categories- cluster models, collaborative filtering and propensity models. Based on variables, customers are segmented in clustering. There are three forms- product, brand and behavioural clustering. On the basis of aggregate behaviour, collaborative filters create recommendations accordingly. In short, it is all about the product’s behaviour towards the users. Some of the types of collaborative recommendations are up-sell, follow-up and cross-sell recommendations. Propensity models do the work of making the future prediction of customer behaviour.
Connects appropriate product to appropriate market:
If you work efficiently on customer modelling, you may also identify markets for your service or product that you were not aware of. Incorporating the referral sources into the cluster models will help you to identify the right traffic source for the right product type. Even incorporating the referral sources into the propensity models will help you to determine the location where you need to invest more of the resources. Take a look at the correlation between the customer models and keywords.it will also help you to analyze the attributes and investigating the performing outliers.
Connecting users and content:
It will allow you to match the content that is related to the products or the brands on the basis of the right cluster. When the propensity models predict that users are going to buy, the conversion copies can be matched to the users. It recommends those content to the users that enhances the propensity scores and even matches traffic sources to that particular content, that is likely to create more propensity scores. You just need to think strategically to make sure that the models are being used rightly and try to bring the most out of the models.
Before commencing, identify the topics on which you are going to work, look at the past activities. You may also create an editorial calendar that will be foresight focused, analyze the ongoing topics on the latest trends, try to get alerts and measure everything that you are planning to invest. Build a robust team and make them stay focused. Show patience and understand it is not an overnight work.