{"id":5087,"date":"2020-08-27T10:00:08","date_gmt":"2020-08-27T04:30:08","guid":{"rendered":"https:\/\/www.intelligencenode.com\/blog\/?p=5087"},"modified":"2026-01-20T14:58:49","modified_gmt":"2026-01-20T09:28:49","slug":"pricing-analytics-software-for-improving-ecommerce-revenue","status":"publish","type":"post","link":"https:\/\/www.intelligencenode.com\/blog\/pricing-analytics-software-for-improving-ecommerce-revenue\/","title":{"rendered":"Power of Pricing Analytics in the eCommerce Decision-making"},"content":{"rendered":"

The retail world is currently facing rapid evolution. Market trends are fluctuating at an unprecedented pace, prices are as competitive as they\u2019ve ever been, and customers are holding companies to ever-higher standards. The only way to keep up is with a\u00a0 pricing analytics software that enables you to strategize in a manner that optimizes for these factors.<\/span><\/p>\n

Because relying on the outdated methods of yesterday is not enough anymore, industry leaders are abandoning manual processes alone and adopting cutting edge AI pricing<\/a> tools to stay competitive. These tools utilize price analysis<\/a> data from various channels of a company\u2019s operations (i.e. marketing channels, eCommerce platforms). And with them, eCommerce leaders can make data-driven competitive pricing decisions while receiving a better ROI on each product.<\/span><\/p>\n

What is Pricing Analytics?<\/strong><\/h2>\n

Pricing analytics is an emerging field that provides companies with the tools and methods to better perceive, interpret and predict consumer behaviour. Because pricing power comes from understanding what consumers want, where they shop, which offers they respond to and how much they are willing to pay for a product or service.<\/p>\n

From answering preliminary market questions to making real-time pricing decisions to prognosticating future outcomes, powerful pricing analytics is the <\/span>greatest asset available<\/a> to increase revenue for modern retailers.\u00a0<\/span><\/p>\n

Develop a solid understanding of customer needs and pain points first<\/strong><\/h2>\n

Before setting your prices<\/a>, you need to accurately hone down who you\u2019re setting these prices for. Unfortunately, many retailers handcuff themselves by neglecting the inner workings of their target audiences. What they end up with, then, are strategies based on an imaginary user persona (and, thus, with prices that aren\u2019t optimal for real users).<\/span><\/p>\n

Before setting competitive prices, you want to answer two instrumental questions:<\/span><\/p>\n

    \n
  1. What do your buyers truly value in their products and shopping experiences?<\/span><\/li>\n
  2. What are they reasonably willing to pay for what you offer?<\/span><\/li>\n<\/ol>\n

    The answers you find will serve as a foundation for your pricing analytics. With them, you can confidently set win-win pricing that satisfies users while keeping your product margins in the green.<\/span><\/p>\n

    Optimize prices for your audience through segmentation and rule-based pricing<\/strong><\/h2>\n

    First, you start with segmentation – identifying the exact personas and corners of the market that you\u2019re targeting. Based on an intelligent analysis of past behavior, your pricing analytics software can help you figure out which groups carry the highest sales potential (as well as which user bases deliver lower returns on your investments). This is how you answer the first question.<\/span><\/p>\n

    As for the second question, you tackle it by implementing rule-based pricing. This means extending your pricing analytics capabilities beyond user expectations and bottom-line margins to include product histories, competitor movements, and large-scale market conditions.\u00a0<\/span><\/p>\n

    Overall, there is no shortage of details to rack, but getting a comprehensive view is essential to competitive pricing in today\u2019s retail<\/a> marketplace. Only once you\u2019re fully armed with the power of ecommerce pricing analytics can you safely move on to the decision-making stage.<\/span><\/p>\n

    Benefits of Pricing Analytics<\/strong><\/h2>\n

    With a pricing analytics software guiding you, each decision you make boosts revenue<\/strong><\/h3>\n

    The next step is positioning your products in accordance with those price ranges and contextual intricacies. And part of what makes price analytics tools so valuable is that this step can be done in a way that actively aligns with your immediate goals.<\/span><\/p>\n

    \"Dynamic<\/p>\n

    Often, we see real-time adjustments in the form of <\/span>dynamic pricing<\/span>. Nothing gives you a leg up on your competition quite like the capability to adapt prices to market demands in the present moment. No matter if changes occur in your products\u2019 values, your competitors\u2019 offers, your stocking situations, or any other number of variables, you can always be on top of them. And where pivots are necessary, they\u2019ll be reflected across all sales channels.<\/span><\/p>\n

    On your pricing analytics dashboard, you\u2019ll also undoubtedly have avenues for other immediate quick fixes. More often than not, retailers are completely unaware of products that are overpriced, underpriced, or otherwise positioned poorly. These mistakes on a pricing analytics dashboard may be subtle, but shoring them up is often a quick and painless way to optimize revenue.<\/span><\/p>\n

    \"New<\/a><\/span>