Why Does your Company Need Pricing Analytics?

May 23, 2018

Sports Apparel

You set MRSP of $100 for a product and you feel that the sales are not quite picking up. So now, you lower the price and find out that the sales are increasing. You reduce the price further in hope of sales skyrocketing, it increases, albeit not as rapidly as it did before. Now multiple questions arise in the head of the marketer. But the vital question to ask here is, what is the perfect price point to maximize profit. The magic number is not that easy to generate, even if it was, there are multiple variables affecting it on a daily basis. However, companies can get as close to the magic number as possible, for which, pricing analytics is essential. Apart from getting the perfect number why do we need to use pricing analytics?

Are you ready to empower your business with pricing analytics? Request a FREE proposal to learn how Quantzig’s analytics solutions can help transform your organization.

Analyzing Customers

Although there is an abundance of information available to customers today, most companies are still unaware of the habits of their customers. Companies resort to a customer segmentation method, which can help a lot but pricing data goes further. For instance, manufacturers can see improvements in their margin by aligning their pricing along the customer segments. Analyzing past performance can go a long way in improving the present and the future.

Identifying Pricing Opportunities

‘Quick wins’ is one of the ingenious ways of making a profit in a short amount of time by adjusting prices. It can also help identify extra revenue gaining opportunities by fixing the most obvious cases of price misalignment or leakages. Companies can save millions of dollars by identifying pricing opportunity by highlighting unprofitable accounts and realigning the discounts. Although the term may incorporate the word ‘quick’, it often builds the base for long-term pricing efforts and margin increment.

Promotional and Pricing Planning

Marketing promotion and pricing are usually pre-determined and don’t follow a particular strategy. However, companies employing a pricing strategy closely monitor the market and anticipate the impact of price change or a promotional campaign. Such companies use predictive models to create a forecast and measure the deviations against actual results to keep everything systematic. Using such pricing analytics models allows companies to save millions of dollars by putting an end to ineffective promotions and also give accurate insight on pricing.

Price Optimization

With the advent of ERP tools, it is now easier to just implement full-fledged profit optimization tools and manage prices and promotions accordingly. However, one should keep in mind that actually optimizing the pricing is not as straightforward as it looks. Having a sound pricing strategy for a long time helps companies to integrate pricing analytics seamlessly to facilitate price optimization.

To know more about the top five needs for pricing analytics, price point optimization, and marketing promotions, speak to our experts.

Convincing Stakeholders

Often, the marketing department has a hard time convincing their marketing plan, promotional plan, and marketing budget to their stakeholders. Pricing decisions are even more problematic when it comes to taking approvals from stakeholders from the sales, finance, marketing, and production department. However, backing such decision with pricing analytics data can change their mindset and facilitate the approval process.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Share This
Talk to us