Predictive Lead Scoring in Sales: In-depth Guide [2020 update]

We discussed lead generation before. After lead generation, it is necessary to determine priority of leads.

What is predictive lead scoring?

Predictive lead scoring is a novel approach to prioritizing customers. No sales rep wants to lose time with unqualified leads and these systems enable reps to focus on qualified leads.

There are a few ways to name this activity: predictive lead scoring, predictive scoring, customer behavior modeling. It is a subfield of predictive sales analytics.

Why is predictive lead scoring relevant now?

Poor lead prioritization can decimate companies. Sales targets get missed, teams get demoralized. Most importantly, sales personnel fail to learn from their experiences. They can’t gain generalizable experiences as they encounter leads with wildly varying intent. Even the greatest sales tactics will not work on a customer who is not willing to buy. A sales person who has seen only customers who are not willing to buy, can lose hope on even the best sales tactics and processes. Read more

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Lead Generation: In-depth Guide So You Can Focus on Sales

Sales reps spend most of their time in non-sales activities. Generating leads can take up a significant share of a sales rep’s time.

Source: insidesales.com

Automating lead generating leveraging the latest technology including AI, you can enable your sales reps to devote more time to sales.

What’s lead generation?

Lead generation is generating leads that are relevant for the specific business or industry, before evaluating them according to their possibility to be an opportunity.

Why is lead generation relevant now?

While traditional marketing involved blasting mass media with advertising, current state of the art lead generation includes using both own and 3rd party channels in a highly targeted manner. Read more

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373 experts opinion: AGI / singularity by 2060 [2020 update]

Artificial Intelligence scares and intrigues us. Almost ever week, there’s a new AI scare on the news like developers shutting down bots because they got too intelligent. Most of these news are a result of AI research misinterpreted by those outside the field.

The greatest fear about AI is singularity (also called Artificial General Intelligence), a system capable of human-level thinking. According to some experts, singularity also implies machine consciousness. Regardless of whether it is conscious or not, such a machine could continuously improve itself and reach far beyond our capabilities. For those who came to get quick answers: Read more

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Implement Predictive Maintenance in 90 days: Mario Montag explains Predikto’s fast, automated approach

We had a candid session with Mario Montag, CEO and Co-Founder at Predikto, discussing their primary areas of focus, how they can offer superior results compared to custom solutions, challenges of data integration, why predictive maintenance is crucial for big industrials, transportation and logistics companies. Below you can find our podcast edited for clarity and brevity. To have a background on predictive maintenance before diving into details, you can read our article on predictive maintenance. Read more

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Top 5 Chatbot Ecosystem Maps Compared [2020 update]

Outline of chatbot ecosystem including platforms, test&analytics services, vendors that provide chatbot solutions

Chatbots are one of the hottest areas of Artificial Intelligence and we explained them in detail before. Social media revolutionized customer service by enabling customers to digitally reach any brand at any time. However, social also meant that companies needed to cover numerous channels effectively. Then came chatbots.

Companies are anxious to take advantage of 24/7 functioning, intelligent, self improving chatbots handling most queries and transfering customers to live agents when needed. Chatbots reduce customer service costs and increase customer satisfaction.  Given the potential value of chatbots, it comes as no surprise that an ecosystem is developing around chatbots. Read more

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