Deal Analytics

The high velocity of the high tech market and the overwhelming number of special pricing requests make it difficult for marketing and sales personnel to consistently determine optimal pricing for each transaction. According to a Yankee Group Benchmark study as many as 50% to 60% of transactions require special pricing. According to the same study of 60 manufacturers, limited access to real-time critical data required to analyze a customer and the merits of a specific discount can cause companies to erode margins by as much as 1.5% to 2.5%.

Increase Margin through Real-Time Customer and Quote Analysis

Model N Deal Analytics brings real-time, operational business intelligence to the price negotiation process with advanced customer and quote analysis functionality, designed for the high-tech industry. It empowers your sales and marketing staff to maximize profit from each transaction by providing them with interactive tools that analyze all related factors and provide price guidance at the point of negotiation. With access to real-time data and the ability to drill into granular transaction-level details, sales and marketing managers can evaluate more quotes faster without leaving money on the table.

Customer Analysis provides users with a comprehensive view of the customer account at the point of transaction, enabling sales and marketing managers to assess customer value and determine if price concessions are appropriate. Key features include revenue and profitability trends, customer comparison, customer compliance, and business analysis.

Quote Analysis provides a real-time analytical view of all relevant deal information, enabling sales and marketing staff to determine the best price and maximize the profitability of each transaction, defend prices and handle pricing objections, and take actionable steps to increase quote conversion. Users can slice and dice the data to conduct comparisons against similar deals with same/different customers, direct or through channel, for the same product family/part across regions. Data can be historical and/or current, ensuring that pricing decisions are made in the context of current market conditions. Key features include price win/loss analysis, price guidance, and detailed quote comparison.

Deal Analytics at a Glance