#competitiveretailpricedata

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A powerful Competitive Price Intelligence tool is indispensable for survival and also gives a boost to sales and profits. If you are looking for an edge to grow sales and profits faster, accurate and precise pricing data is critical.

GrowByData’s Product Intelligence encompasses all the features and capabilities required for a powerful competitive price intelligence tool.

If you are interested in our pricing monitoring features our experts can help you on how to make your products stand out in terms of pricing and marketing strategy to stay ahead of the competition.

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GrowByData price intelligence solution helps to provide the alternative solution to find better criteria to determine high-quality product matching. This article highlights the key attributes for product matching and the use Of Unique Product Identifiers in products using Product Intelligence Software. MPN and Brands are not to be ignored as MPN are unique numbers assigned by Manufacturers for a product. Unique product identifiers define the product you’re selling in the global marketplace.

GrowByData can seamlessly identify top competitors, top-performing products, and formulate pricing strategies to give customers an edge with accurate SKU level Pricing on a global scale across marketplaces with Unique Product Identifiers.

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Competitive Price Intelligence data is crucial for eCommerce retailers, brands and manufacturers. Utilizing competitive price intelligence data, software & solutions, eCommerce retailers, brands and manufacturers can monitor their competitor’s retail prices, and analyze their pricing strategies to reprice their products regularly. It is vital for a retailer to regularly monitor their competitors and stay vigilant of their pricing strategies.

This article highlights the various steps that GrowByData’s Pricing Intelligence utilizes to deliver accurate Retail Price Data.

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GrowByData helps retailers to gain an edge over others with accurate SKU level pricing data. GrowByData works with hundreds of retailers and manufacturers to provide price data and suggest optimal price changes. GrowByData provides services and solutions to the retailer’s pricing strategies and accurate data that retailers can work on instantaneously to get an edge and get a head start.

This article provides insights on the things that GrowByData’s pricing data can give to edge seeking retailers.

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The 2019 holiday shopping season has come to an end, and many businesses will be analyzing their revenue to determine where they saw the most sales: online or in-store transactions. Despite the hype that online sales will outdo offline brick-and-mortar retail sales, our data tells a different story.

Reviewing our data analytics, online sales peaked on Black Friday and Cyber Monday. More walk-in customers visit offline retail stores for their last-minute holiday shopping before Christmas.

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Valentine's Day is just around the corner and, as always, this year it's all about gifts, cards, chocolates, and flowers. Retailers should be aware of consumer behavior and buying habits at this time of year in order to capitalize on sales.

With our competitor pricing data, GrowByData prepared the report on these rituals and behaviors which will help retailers better prepare for the holiday. The data shows that department stores are the most popular, followed by discounts and online stores.

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Product Matching is the heart of accurate Competitive Pricing data. The main challenge faced by Competitive Pricing Data providers has been finding a basis for product matching. Product Identifiers define the product you are selling which is important to improve the product matching quality.

With Unique Product Identifiers, GrowByData can seamlessly identify top competitors, top-performing products, and formulate pricing strategies to give customers an edge with accurate SKU level pricing on a global scale across marketplaces.

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GrowByData price intelligence tool collected retailers' pricing data from google shopping for price competition analysis of sunglasses retailers carrying brands. We matched these competitors to product variant level and tracked retail prices daily.

The price competition analysis of sunglasses retailers in cluster indicates an aggressive pricing strategy of emerging retailers will become a major threat to Large retailers. Retailers risk getting caught in the crossfire of fierce price competition and losing if they aren’t actively managing this.

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Competition is a major threat to any business. In today's highly competitive ecommerce context, a powerful Competitive Price Intelligence (CPI) tool is indispensable for survival. Ultimately, every retailer wants to win.

If you are looking for an edge to grow sales and profits faster, accurate and precise pricing data is critical. GrowByData’s Competitive Price Intelligence tool encompasses all the features which is indispensable for survival.

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Competitive Price Intelligence tools for Ecommerce provide data to discover competitors monitor their retail prices and implement dynamic pricing strategies to effectively reprice product to win the sale.

This intelligence data is crucial for Ecommerce retailers, brands and manufacturers. GrowByData’s Pricing Intelligence provides insights on utilizing 5 steps to deliver accurate Retail Price Data.

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Customers generally search on Google before heading to the retailer's website and it has become one of the fastest-growing search tools for Shopping. But is the same true for purchasing Jewelry? Are customers willing to purchase expensive jewelry items online?

By investigating we extracted several jewelry items listed on Google Shopping for price analysis. Rings are the most popular jewelry items followed by Necklaces and Bracelets.

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Halloween is all about Costumes, Candies, Decorations, and frivolous parties. For retailers, it is one of the busiest seasons with $ billions of spending predicted. With GrowByData Price Intelligence Solution, we collected Halloween costumes and candies retail price data from google shopping and matched the competitors to the product variant level.

For budget Halloween Shopping, head to Walmart, eBay, or Amazon for the best deals. In this article, we have analyzed the price competition of Halloween costumes and candies among retailers with the information of the marketplace that gives the best deal in it.

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Pricing and Merchandising colleagues need high-quality data to ensure their mathematical models are generating precise results. Excel your profession and rise above bad data. Retail Data Science colleagues must not struggle with bad data.

You can deliver the top pricing analysis you are trained to generate. With the help of pure data, do Dynamic Pricing, and apply your advanced models to it.

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Many retailers are already geared up to provide promotional offers and special deals for Thanksgiving, Black Friday, Cyber Monday, and Christmas. Black Friday and Cyber Monday are the biggest and busiest shopping days of the holiday season.

Per experts, shopping traffic continues to grow from November into December with peak online holiday shopping traffic on Google during the second week of December. We have some helpful insights on Shoes based on Google Shopping, which will guide you in the right direction for Brands or Retailers that you can choose from.

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We're covering three more categories to find the best day to buy each based on the number of price changes and to provide you information on whether the prices are dropping or rising. Monday is on Top when it comes to Price Competitiveness in all Jewelry Categories.

GrowByData price intelligence analysis shows that Mondays tend to be the day with the most fluctuation in price, whether up or down. If you’re eyeing a specific piece of jewelry, your best bet would be to monitor it for a couple of weeks and check in on Mondays to see if the price rises or drops.

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Winter shoe price changes show that 63% of price changes involve lowering the price while 37% of price changes did not have any adjustments on pricing overall.

GrowByData Price Intelligence Solution reveals the current pricing strategies for winter shoes in google shopping and provides a few recommendations you should consider for automated repricing logic: How to Re-Price? Which Products to Re-Price? and When to Re-Price?