How to use Predictive Analytics to improve Marketing and Sales Performance?

Prediction - Isn't this a very natural activity of the human brain for a future event?

Yes! And it is often based on experience or knowledge. Coming to Predictive Analytics, it is a branch of advanced analysis that is used to predict unknown future events using a variety of historical data.

Prediction is not the only thing your brain does. This is the main function of the new choir and the basis of intelligence - Jeff Hawkins

When we think of as a marketer, what is the number one thing we as a company are looking for, above all ourselves?

Everyone is looking for a pipeline, we are looking for revenue and business growth. Now close your eyes and imagine a world where your data finds the next customer with 86% accuracy. Imagine a world where you know your customers' needs, where to find them? What interests them is their pain point? What competitor products could they look into? And say you can enter this sales cycle early and expand your business. Cool things! Right?

This is the world we live in! And why is it available to us today? Why can we do these fundamental things that we failed 5-10 years ago?

Of course, we all know that we live in this incredible digital world today, where we have the technology and data to answer all the questions in a matter of seconds. With advanced predictive analysis capabilities, we are able to predict future events, resulting in a real-time overview of customers and processes. It integrates a variety of techniques, from data mining, statistics, modeling, machine learning, and artificial intelligence (AI), to processing and analyzing different datasets for forecasting purposes.

According to a Forrester survey, about 87% of B2B market leaders consider predictive analytics to be a critical part of their marketing stack. Most of them have already adopted the technology or plan to do so within a year, with the aim of increasing their market share and revenue growth.

"The aim is to turn data into information and information into an overview." Carly Fiorina, former CEO of HP

HOW TO USE A PREDICTIVE ANALYST TO IMPROVE MARKETING AND SALES ACTIVITIES?

2015 is admirably calculated as the year of data-based marketing. With the introduction of predictive analytics techniques, marketers see its enormous potential to improve research, improve lead quality, and build a sales lead over the years. By now,

• IMPROVE THE DRIVER SCORE

With the appropriate use of the Predictive Analysis tool, you can easily link the activities of your existing customers to influence your future efforts as a marketer. With predictive analytics, evaluating leads leads to a less unscientific and more real data-driven view of your target customer.

Predictive analysis allows you to quickly get sales leads based on customer demographic, behavioral, and psychological data. Based on these scores, it is decided whether the sales leads are "hot" and whether they should be passed on to the sales team immediately or whether they need more time in the maintenance campaign.

Now B2B companies start operating. "Nearly 14 times more B-to-B organizations use predictive leadership assessment than in 2011," says Jill Stanek, research analyst at Sirius Decisions.

• BACK TO DATA MARKETING CAMPAIGNS

By applying predictive analytics in organizations, you can improve overall marketing performance with excellent data analysis. With the available data, companies can better plan, develop, implement and execute future marketing campaigns.

Predictive analysis allows us to forecast past performance to give you a comprehensive view of all market segments in your target audience. Backing up your marketing campaign data can help you move the process down the sales funnel and maximize your return on investment.

• IMPROVE your order by predicting setbacks

Churn bets are the identification of customers who are likely to cancel a service order. To grow, a company must have a higher growth rate than the tournament speed. With predictive analysis, you can analyze warning signs or behavior patterns from past customers based on warning signs from current customers, and thus provide the necessary wort prevention campaign.

• FIND UPSELL AND SALES OPPORTUNITIES

Lead generation is expensive. Selling or cross-selling an existing customer is much easier and more cost-effective than making a new sale to a completely new customer.

Amazon has allocated up to 35% of its revenue to cross-selling through both the "Frequently Purchased Together" and "Customers who Purchased This Product" features.

Marketers can use customer data to identify sales and cross-selling opportunities. With a flexible predictive analytics platform, you can understand how different segments have performed in very specific campaigns so you can deploy similar campaigns that are more likely to succeed.

Predictive analytics helps you understand the future needs of your existing customer and plan campaigns to sell or sell to increase your customers ’profitability over time and keep them back. When done correctly, it helps the customer get more value from their purchases, do their job better and make life easier.

• PREDICTIVE CONTENT WITH MARKED ROI

Although marketers can better measure the return on investment associated with their content and strategy, it is difficult to understand how content is used in the automation phase of marketing. Often the content itself is to blame, but in reality the real culprit is the misdefined strategy of content distribution. What type of content works best for certain leads can be answered using predictive analysis. Content marketing can offer your business a significant return on investment.

Predictive content improves marketing visibility, strategy, and revenue contribution. This eliminates the need to create an image in the dark and saves marketing from creating useless, irrelevant sales content. This increases marketing effectiveness and allows marketers to create and serve sales that are suitable for sales conversations and conversions.

BOTTOM ROW

Today's customers are empowered, connected and have high expectations to deal with their conditions. Predictive analysis tools allow users to extract large amounts of data to make educated forecasts. By opening up knowledge, companies can predict the wishes and needs of their customers. The company can display product recommendations based on past activity, such as Netflixand Amazon (Productive Users of Predictive Analytics). Display ads by consumer type and also send better targeted email campaigns (https://deck7.com/) to help customers with relevant offers across all channels, including digital, mobile, and social.

We’re happy marketers who enjoy working with fellow marketers to help make their lives simpler and work easier. The long version: we’re a global business-to-business marketing services company that works hard for marketing and sales leaders from Fort