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Adaptilytics
Adaptilytics

Adaptilytics

By ConnectLeader


  •  944 Interested

Highlights : About Adaptilytics

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Predictive intelligence engine

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Self-learning algorithm

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AI / Machine Learning

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Lead prioritization

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Predictive lead scoring

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Adjustable weight scale

About Adaptilytics

Adaptilytics is a predictive intelligence solution for outbound calling which automatically analyzes, scores, and prioritizes leads to provide agents with optimized call lists. Users define the data pattern associated with target lead profiles based on their installed technologies and intent-to-buy signals. Adjustable weighting scales give users greater control over scoring, and can be applied to both target profiles and contactability insights, such as verified contact data and direct dial phone numbers. Dialing lists can be ordered according to lead scores, and past calling history is analyzed to determine the best time to call each lead, with the calling order refreshed constantly as this data is updated.

Specifications

  Business Size
Small, Mid-Market, Enterprise
  Deployments
Cloud
  Language Support
English
  Platforms

Product Details

Features

Adjustable weight scale

Personal dialer

Team dialer

Call history analysis

Predictive lead scoring

Predictive intelligence engine

Real-time updates

Self-learning algorithm

Lead prioritization

Call list optimization

AI / Machine Learning

Benefits

Target lead profiles are defined by users before lead scoring, providing the predictive intelligence engine with the data patterns associated with the relevant intent-to-buy and installed technology signals.

The weight scale can be adjusted to reflect the importance of the intent-to-buy and installed technology signals, and contactability insights including contact data verification, direct dial phone numbers, and optimum calling time, giving users greater control over the scoring process.

Call lists can be ordered based on the predictive lead scores, with the aim of connecting users to their most promising leads first.

Past calling history is analyzed to determine the best time to call, with the calling order refreshed constantly as this data is updated.

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