Predictive Marketing Examples

3 Predictive Marketing Examples to Boost Revenue

The B2B case for predictive technologies

The growth of digital channels has changed the B2B buyer journey. With more information available online for buyers to investigate and compare options, B2B marketers increasingly focus upon rewarding and personalised journeys for customer acquisition. What’s more, with up to 10 decision makers to satisfy, marketers must tailor their marketing programmes to reach a broader set of influencers earlier in the purchase cycle. Ensure you understand how search is changing with our predictive marketing examples.

Predictive marketing technologies can forecast your prospect’s need before you are aware of it yourself, using data with AI and machine learning to predict search actions and alert you to potential demand so you can take the appropriate marketing or sales action. Yes, you can jump the queue with predictive marketing.

Predictive marketing growth

According to a study by Forrester, predictive marketing analytics can create the “deeper buyer insights [1]” marketers need in today’s Big Data world. The Forrester study concludes that, “Predictive Marketers are 2.9x more likely to report revenue growth at rates higher than the industry average …and 1.8x more likely to consistently exceed goals when measuring the value their marketing organisations contribute to the business [2].”

The message seems clear: predictive marketing boosts revenue.

If you are considering adopting predictive technologies or are evaluating your current use of Big Data, continue reading to discover 3 predictive marketing use cases that every B2B company should strongly consider.

If you’d rather discuss your predictive marketing strategy with a member of the Think Beyond team direct, call 01625 682110 for a no obligation chat.

Predictive marketing examples for B2B

Ready to take your marketing performance further? Here are three predictive marketing examples to boost revenue:

● List expansion to determine who to target & prioritise

Predictive analytic tools can quickly determine which prospects represent the best fit for your business and help you allocate both marketing spend and your sales teams’ time accordingly.

Through analysis of historic firmographic factors such as company size, location and revenue, predictive algorithms can create target company lists that closely match past converting behaviours to ensure that your marketing budget is funnelled efficiently. As predictive marketing is based on intent, unlike remarketing, it allows you to reach out to prospects you didn’t even know you had.

Overlaying additional signals can help to keenly target prospects further via predictive lead scoring and allow your sales team to prioritise leads at every stage in the sales cycle.

Personalised content & contact optimisation

As well as determining who to target and when, predictive marketing can tell you the “how.” In a move towards account-based marketing (ABM), predictive marketing tools deliver highly personalised content across channels and devices to optimise interaction.

Think of e-mail recommendations, web pop-ups and personalised calls to action that can be executed in near real-time or customised web views and sales call follow up that are delivered at key junctures. Models examine past behaviours as well as other indicators to predict both messaging and contact channel efficacy.

Churn prediction

Predictive modelling can identify which prospects are most at risk of unsubscribing or not renewing a contract. More than this, the model can also go one step further and identify which of these “at risk” prospects are most likely to respond to special offer incentives.

The revenue benefits here are clear: acquiring a new customer can cost five times more than retaining an existing one [3], making it crucial that churn is minimised. Even a small reduction in churn can positively impact both revenue and acquisition costs.

Developing a predictive marketing approach

What business doesn’t want to supercharge their revenue? But with so many predictive marketing tools and SaaS products available, how does a CEO, MD, Sales or Marketing Director implement a successful predictive marketing approach?

Here at Think Beyond, our CIM qualified consultants have helped senior teams across the UK benefit. Predictive technologies are part of our marketing strategy service.

Guided by a philosophy of partnership and a belief that marketing is a science, Think Beyond can help plan, implement and report on a bespoke predictive marketing solution. Support ranges from accurate data collection and cleansing to thorough analysis of buyer cycles and software recommendations (such as SalesForce or Everstring). Our expert marketers will craft a predictive marketing strategy that works for your business and your bottom line.

Contact the Think Beyond marketing experts

Based in Wilmslow and Alderley Edge, Cheshire, Think Beyond has a singular aim: to accelerate your business potential.

Discover predictive marketing examples to boost revenue by calling 01625 682110 or email

Additionally, book a free one-hour initial consultation and simply fill out our friendly contact form.

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3 Predictive Marketing Examples to Boost Revenue

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