Grow wallet share, recover lost business, pitch the right products and address contract compliance. Zilliant’s predictive sales growth solution helps you uncover incremental revenue opportunities.
With large product catalogs and large books of business to manage, it can be nearly impossible to spot opportunities to grow wallet share or to know which products prospective customers are most likely to buy. Sales IQ uses advanced data science to reveal what customers and prospects should be buying based on your “ideal” customers.
Spotting defection when it begins is a challenging task for sales reps, winning back lost business is even harder. Sales IQ identifies “at-risk” customers that are showing early signs of defection on one or more product categories using patented algorithms to serve up specific areas where revenue is declining or has been completely lost, and identifies the products to pitch to win back lost business.
Executing product-specific sales strategies is challenging with a large sales organization. Whether you need to sell excess inventory, hit rebate targets with a specific supplier, sell more private label items or recommend higher margin substitute products, Sales IQ can identify which customers are most likely to buy each target product.
When discounts are given based on contractual volume commitments, and volume targets are missed, margin leakage is inevitable. Sales IQ alerts sales reps when contracts are not likely to meet volume commitments while there is still time to course correct with the customer.
Without understanding customer potential and what actions to prioritize and discuss with each customer, deciding where best to spend time to maximize revenue is a guessing game. Guide sales reps to the most impactful actions and help them prioritize their time with the customers most likely to buy more.
Onboarding new sales reps can often take six to nine months. Cut down the time it takes to make reps fully productive with Sales IQ.
Learn how Sales IQ can help companies grow revenue and improve customer retention.