Predictive analytics is the process of using data alongside machine learning tools in order to predict how likely potential outcomes are according to historical data. In a marketing context, predictive analytics is used to determine which types of action and strategy will have a positive impact. Basically, when used effectively it helps to make better, more informed decisions for your marketing efforts.

Let's explore some of the ways that predictive analytics can be used to create a more successful marketing strategy.

Predict Customer Behaviour

Having an in-depth understanding of your customers and their needs is an essential part of a truly effective marketing campaign. Predictive analytics allows you to predict customer behaviour based on their previous interactions with your company or your website or social media channels. 

You can use this to then predict things like when a customer is likely to be ready to buy, the types of products or services they might want, or even things like the time of day they're most active online. Predictive analytics can also help you identify any customers who are likely to unsubscribe from your services, allowing you to reach out to them and use techniques that will encourage them to stick around.

Find Qualified Leads

Trying to convert prospects who are unqualified and therefore unlikely to ever convert is such a waste of time and resources. Predictive analytics can help to solve this issue by qualifying leads according to how likely they are to make an eventual purpose, based on each prospect's similarities to those who have already bought from you.

For example, if you're expanding into new territory you could use a France companies directory to find plenty of new potential leads, then use a predictive analytics model to determine which are likely to fit your ideal buyer profile the best, and then prioritise those over the others. 

Better Lead Nurturing

Lead nurturing is important for encouraging those leads who are still in the beginning stages of the sales funnel, and who might need a gentle push here and there. However, it's not enough to target all of these nurtured leads in the same way, instead you need to create segments within this group and tailor your approach to their demographic, firmographic and behavioural traits and history. 

Once you've separated these leads, you can target each segment with content that is more likely to be relevant to them and therefore send them further along the sales cycle and closer to closing on a sale.

Improved Content Marketing

Good quality content is one of the best ways to attract leads and encourage prospects further along the sales funnel. However, if you're putting the wrong kind of content in front of your audience then it's basically useless. Predictive analytics can be very useful here as it can help you determine which type of content is engaging particular segments within your target market, and then use those insights to distribute similar content to customers with the same type of demographic qualities or behavioural history. 

More Personalised Messaging

Now more than ever, the importance of personalised marketing can't be stressed enough. However, businesses can find it difficult to find the data that they need to implement it successfully. This can be because it's not accurate, up to date or there just isn't enough of it to form useful insights. 

Using a resource such as a B2B directory can be useful here; for example if you're looking to personalise your outreach to German businesses, you could use a list of companies in Germany to find data such as financial records and technologies in use to then tailor your messages. Predictive analytics can then automate the segmentation of groups within your audience, allowing you to personalise your messaging for specific types of prospect.

Personalisation is also important not only for the types of messages you're sending, but also ensuring that you're targeting prospects with the right products to suit their needs and resources. For example, if you're selling high quality, luxury goods you'll obviously want to make sure you're targeting an affluent audience.

Easier Customer Retention

By looking at the previous behavioural patterns from those customers who have left your services in the past, you can learn how to prevent it happening in the future. 

Predictive analytics allows you to analyse data on previous customers and spot similarities and trends so you're able to identify customers who you are in danger of losing. You're then able to react accordingly and in a timely manner, reaching out to them with special offers, asking what they need from you or implementing an automated nurturing campaign.

Implementing Predictive Analytics

In order to introduce predictive analytics successfully into your marketing strategy, you need to consider several factors. Firstly, it’s vital that you’re basing the process on clean and accurate data. Without it, you risk generating false insights that lead to bad decisions, which could end up having a negative impact on your business.

You'll also need to have someone on your team who is able to identify patterns in complex data and has the training and knowledge to successfully implement the process. Alongside a suitably experienced professional, your business will need to ensure you have the relevant tools to introduce predictive analytics, whether it be for managing data efficiently or marketing automation. 

Predictive analytics can be extremely useful for a wide range of marketing activities. With so many tools available, as well as plenty of data to make use of, there's never been a better time to implement the process into your strategy. There's no doubt that predictive analytics is here to stay, so it's a good idea to ensure you're keeping up with your competitors and running more effective marketing campaigns as a result.