WHO WILL BE YOUR NEXT CUSTOMERS?
We humans are all about getting what we want. And that’s why we give small signals about the things on our minds. What if you could enable your customers to pick up these messages automatically and identify their future customers? That’s exactly what a Buyer Intent Indicator does.

JUST ONE EMOTION
Buyer intent is the outcome of one particular emotion: anticipation.
• Very strong positive anticipation in the message of a non-customer is a sign of buyer intent.

DETECTING ANTICIPATION
A Buyer Intent Indicator detects anticipation in text messages. For instance on call center data, site behavior, social media, reviews and emails. Besides that, it can determine the polarity of a message, allowing you to very specifically predict which action the author is going to take in terms of buyer intent.

ACT ON IT
Using the outcome of a Buyer Intent Indicator, you can enable your customers to persuade their customers to stay, or in fact give them a gentle push towards actually becoming a customer. Empower your customers to make the right decision, by presenting three different forms of insight:
• A generic view of current buyer intent
• The individual messages indicating buyer intent so you can interact
• An overview of buyer intent over time

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

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