Predictive analytics for sales
Just as analytics helps marketers understand and address customer’s needs, sales analytics can also help your sales team build valuable and effective relationships with prospects in the sales pipeline. Based on sales performance and campaign metrics, the team can strategize to improve future sales campaigns for higher conversion rates and maximized profits. With predictive analytics, ensure the sales team meet sales targets with insights that help personalize sales outreach, pitches, and optimize strategies to better acquire B2C or B2B prospects.
Sales analytics use cases
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Visibility into future sales performance and volume with predictive sales analytics
Build a strategic sales process with predictive insights
Personalize sales efforts
Move away from the batch-and-blast method and tailor incentives and outreach strategies for potential customers. Create defined customer segments based on relevant variables through clustering techniques.
Using lift modeling, identify prospects that are likely to generate the maximum revenue gains. Focus sales efforts on them and implement cross-selling and upselling strategies.
Track customer footprint
Get on-the-spot information about potential customers’ behavior, activity, and interests in order to provide relevant information and customize sales conversations.
Add new channels
Lead sales prospects through the sales funnel, allow them to engage with the brand in a timely manner, and provide round-the-clock support with chatbots.
Streamline sales operations
Optimize the sales process by automating repetitive workflows such as initial outreach, information collection, and other administrative tasks.
Read prospects mind
Analyze customer satisfaction surveys, social media mentions, and other forms of feedback to get an idea of what questions customers are asking and what they need.