Cross-selling is hard and can often be time consuming. By analyzing vocal emotions expressed in every call we can predict who is most likely to be receptive to additional offers.

Uncover opportunities

Increase the number of opportunities by analyzing vocal emotions and behaviors to predict who is most receptive to cross-sell offers.

Prioritize by the highest-value

Understand your customers’ true level of engagement. Possess the ability to identify upsell opportunities and determine which customers merit additional attention.

Increase ROI

Decrease the duration of your sales cycle and increase the amount of deals that close. By using predictive models powered by machine learning, results improve over time as more calls are processed.

Increase customer loyalty

By tuning into your customers and what they’re feeling you can determine which customers are most likely to leave and go to a competitor. By recognizing this before it occurs allows a proactive approach to managing and reducing customer churn.

Agent insights case study

Discover the results predictive voice analytics has had on agent performance.
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"29.88% increase in gross collections"


"RankMiner’s agent insight models have increased our QA productivity by over 50%."


"19% increase in cross selling"

Telenor Mobil