Predictive marketing: breaking barriers in the digital age

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The use of predictive marketing has expanded exponentially in recent years, driving decisions for thousands of companies, and the trend is expected to continue to grow. According to Salesforce’s latest Predictive Intelligence Benchmark Report , 91% of the world’s leading marketers are either fully committed to predictive marketing or already implementing it.

At Expand Latam we know and have experienced first-hand the value of this knowledge, so we want to give you a summary of the most important aspects that you should know and offer to accompany you on this exciting journey.

The average increase in conversion rate for sessions influenced by predictive intelligence is 22.66%.

What exactly is predictive marketing?
Simply put, predictive marketing is marketing that uses azerbaijan whatsapp lead big data to develop accurate forecasts of future customer behavior . More specifically, predictive marketing uses data science and predictive intelligence to accurately predict which marketing actions and strategies are most likely to be successful and then deliver tailored user experiences.

Predictions use existing customer behaviors to identify:

-Which audience to address

-The best incentive to offer

-The types of content that customers prefer to see

Predictive marketing allows businesses to cater to unique customers by showing them what they want to see when they want to see it. Customers now expect personalization as more companies adopt predictions. 73% of consumers expect businesses to understand their unique needs, making targeted suggestions beneficial for both retailers and B2B sales .

As you can see, predictive marketing is important because it enables better personalization, improves decision-making efficiency, increases business profitability, provides a huge competitive advantage, and improves the final customer experience as well as their perception of your company. These advantages help companies achieve better business results and stay relevant in a constantly evolving business environment.

Applications of predictive marketing in marketing channels
Predictive marketing clearly drives sales and growth , but it can take businesses even further. Being able to accurately anticipate future trends can influence all branches of marketing. Having more granular and accurate tracking of greater data points allows marketers to easily anticipate trends across all channels. Here’s how this data can impact different marketing channels:

Web: Predictive marketing makes it possible for a website to go from a static, one-size-fits-all solution to a more personalized, dynamic one tailored to each user. Your site can collect data about a customer as soon as they click on a CTA, collect data in real-time as the user provides it, and make recommendations in real-time as well, leading to higher conversions. In fact, the average increase in conversion rate for sessions influenced by predictive intelligence is 22.66%.

Email personalization increases conversion rate and engagement
Email personalization increases conversion rate and customer engagement.

Email: Email campaigns can leverage the results of predictive analytics to send customers personalized messages to their inboxes. Email personalization increases conversion rate and engagement, leading to 6x higher transaction rates than non-personalized messages.

SEO: Marketers who rely on traditional reactive SEO are often forced to play catch-up. By the time they have all the data they need to make an informed decision, that data (and any associated trends) may already be outdated. Predictive SEO, on the other hand, anticipates trends and other issues before they start to have an impact, ensuring sites are optimized to make the most of what’s to come.

Advertising: As a subset of marketing, advertising can also benefit from a predictive marketing strategy. Predictive advertising uses marketing data collected from various sources to segment potential customers into very specific demographics and interest groups. It identifies which ads would be most successful with which groups, delivering personalized advertising content that promotes products or services that the specific customer might be willing to purchase, even if they haven't bought something similar before.

Research: Marketing analytics isn’t an exact science. Fortunately, it becomes more accurate as more data is acquired. With each marketing campaign sent with predictive intelligence, businesses can track what’s working and what’s not for individual customers. The insights they receive make their overall marketing strategy even more powerful. When combined with effective multi-channel marketing, they can share data across channels and further increase accuracy.