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Discover all ins and outs about competitive pricing

Competitive Pricing Guide

Why, benefits, use cases and more...

ABOUT COMPETITIVE PRICING

Competitive Pricing: A Comprehensive Guide to Staying Ahead through Strategic Planning

1

What is Competitive Pricing?

Competitive pricing is a pricing strategy in which businesses set the price of their products or services based on the prevailing market rates and the prices of their competitors.

This approach enables businesses to position themselves effectively within their industry and maintain a balance between attracting customers and maximising profitability.

By considering competitor prices, businesses can make informed decisions on how to price their offerings in a way that appeals to their target market while still generating revenue.

2

What are the 3 Methods used in Competitive Pricing?

There are three primary methods used in competitive pricing: cost-based pricing, value-based pricing, and market-oriented pricing.

  • Cost-based pricing involves setting prices by adding a profit margin to the cost of production
  • Value-based pricing includes the perceived value of the product or service to the customer and bases the price on the value delivered.
  • Market-oriented pricing involves analysing the pricing strategies of competitors and setting prices according to the current market conditions.

3

How to Implement a Competitive Pricing Strategy?

To successfully implement a competitive pricing strategy, businesses must conduct thorough market research to understand their competitor pricing models and the price points customers are willing to pay.

This can be achieved by analysing historical sales data, conducting customer surveys, and monitoring competitor price changes. Here are a few factors that you need to consider while developing a competitive pricing strategy.»

How can competitive pricing help businesses?

Armed with this information, businesses can then develop a pricing strategy that balances competitiveness, profitability, and customer satisfaction.

By staying updated with market trends and competitor activities, businesses can continually refine their pricing strategies, positioning themselves advantageously in the marketplace and boosting their overall profitability.

Here's how to implement competitive pricing in details.

COMPETITIVE PRICING BENEFITS

What are the 5 Advantages of Competitive Pricing?

Competitive pricing offers several advantages to businesses looking to establish themselves in their respective markets and maximise profitability. Here are some key benefits of adopting a competitive pricing strategy.

More details on this blog.»

Let's have a closer look at the advantages of competitive pricing for companies:

Market positioning

Implementing a competitive pricing strategy can help businesses establish a clear market positioning. By setting prices that reflect their intended positioning: whether as a low-cost provider, a premium brand, or somewhere in between, businesses can effectively communicate their value proposition to customers and differentiate themselves from competitors.

2

Maximising revenue

A well-executed competitive pricing strategy can help businesses maximise revenue. By setting prices based on a thorough understanding of their costs, competitor pricing, and customer preferences, businesses can balance attracting customers and maintaining healthy profit margins.

4

Simplifying pricing decisions

Competitive pricing can simplify the pricing decision-making process for businesses. By basing their pricing strategy on an analysis of competitor pricing and market conditions, businesses can reduce the complexity of setting prices and focus on delivering value to their customers.

5

Flexibility and adaptability

Understanding price elasticity can help you stay informed about product development decisions. By examining the price elasticity of similar products on the market, companies can estimate the demand for a new product and set a reasonable price.

3

Attracting more customers

Competitive pricing can effectively attract more customers, who are likely to make purchasing decisions based on price comparisons. By offering competitive prices, businesses can appeal to this market segment, potentially increasing sales and market share.

1

Additionally, businesses offering highly differentiated or unique products and services may be able to justify higher prices, even if they are not directly competitive with other offerings in the market. Ultimately, the choice of a pricing strategy should be informed by a thorough understanding of the business's unique circumstances, market dynamics, and customer preferences.

In summary, AI in pricing equips organisations with the tools and insights to make smarter, faster, and more customer-centric pricing decisions. This leads to enhanced profitability, competitive advantage, and a better understanding of the market and customers,all of which are crucial for success in today's fast-paced and ever-evolving business landscape.

COMPETITIVE PRICING FACTORS

5 Competitive Pricing Factors to Consider

Several factors contribute to the effectiveness of a competitive pricing strategy. To successfully implement this approach, businesses must consider the following key pricing factors. You can find complete details of competitive pricing factors here.»

1

Seasonal Pricing

You may have noticed that prices fluctuate for these industries greatly depending on seasonality. These industries are primarily looking to maximise revenue since they have a limited supply (i.e., they have a fixed number of rooms or seats).

2

Competitor prices

A thorough analysis of competitors is crucial when adopting a competitive pricing strategy. Businesses must identify their primary competitors, monitor their pricing strategies, and assess the price range within which their offerings fall. This information allows businesses to set their prices in a manner that is competitive while still delivering value and maintaining profitability.

5

Act upon Price Sensitivity to increase Margin or Sales

After the price sensitivity test for a set time period, you can implement strategies for the product group in order to balance profit margin expansion and sales growth.

1

Time-based Pricing

This approach involves adjusting prices based on seasons, day(s) of the week, or specific hours. For instance, hotel rates may be higher during peak travel seasons or weekends.

2

Create a Regression Model

You can calculate the quantity, average price, and other numerical or categorical factors for each product to construct a data frame for the customer. Using this dataset, we at SYMSON built a regression model. Studying these datasets allows businesses to quantify the influence of each driver on price sensitivity and sales volume.

2

Demand-based Pricing

Pricing based on demand entails setting prices higher during periods of high demand and lower during periods of low demand. Airlines often use this strategy, with prices fluctuating based on factors like seat availability and time of booking.

3

Market conditions

Market conditions, such as supply and demand, also play a significant role in competitive pricing. When demand is high, businesses may have more flexibility in setting higher prices without losing customers. Conversely, during periods of low demand, businesses may need to lower prices to remain competitive and attract customers. By staying up-to-date with market conditions, businesses can make informed pricing decisions that optimise their competitiveness and profitability.

4

Interpret Price Sensitivity Scores

Based on the coefficient computation from the regression model, we assign weightage differently to different coefficients to calculate the sensitivity score. A higher sensitivity indicates that customers are more responsive to price changes, while a lower score indicates a less significant response.

4

Competitor-based Pricing

Continuous analysis of market prices is necessary to promptly reprice your products either to stay competitive or to gain margins with a powerful value proposition. The dynamic pricing model considers this approach to maintain competence in the market.

3

Aggregate Coefficients from the Regression Model

This step uses the regression output to calculate the price sensitivity scores of each product. The equation yields a price sensitivity prediction, which represents how a 1% change in price impacts the % change in quantity sold or demanded. For instance, price sensitivity of -4% means that a 1% rise in price results in a 4% drop in the quantity sold.

2

Surge Pricing

Cab services usually increase their prices in areas or timings where they detect high demand, like events, pubs, and commute times.

1

Costs of Goods Sold (COGS)

Understanding the cost structure of a product or service is essential when implementing a competitive pricing strategy. This includes considering direct costs, such as materials and labour, and indirect costs, such as overheads and marketing expenses. By comprehensively analysing costs, businesses can determine the minimum price at which they can sell their offerings without incurring losses while ensuring they remain competitive.

3

Segment-based Pricing

This approach includes dividing customers into different segments and offering customised pricing based on their characteristics or behaviours. For instance, a software company may offen differ.

5

Customer-Segment-Based Pricing

Some products can be offered to different customer segments at various price points based on their purchasing power and habits. SaaS companies, for example, have different tiers of pricing based on the kind of user they sell to, whether individuals or businesses.

4

Market-Based Pricing

During times of inflation, companies are likely to see a decrease in consumer spending and an increase in costs. As suppliers' costs increase, most companies increase their prices accordingly to keep profit margins intact. Others may choose to slash prices to encourage spending.

5

Target customer segment

Identifying the target customer segment is another essential factor when determining competitive pricing. The price sensitivity of the target market will influence the business's pricing decisions. For example, if a business targets price-conscious customers, it may need a lower pricing strategy to remain competitive. Conversely, if targeting a more affluent customer segment, the business may have greater flexibility to set higher prices.

1

Identifying New Price Sensitivity Drivers

As you know by now, the first step would be to find new drivers that influence price sensitivity. To do this, you can combine customer point-of-view along with datasets. This process ensures more precision in calculating the sensitivity level.

3

E-Commerce Sites

Sites like Amazon test different prices throughout the day and year based on customer behaviour and the volumes of data. They may also change prices seasonally, for example, during the holiday season.

6

Product Lifecycle-Based (price skimming)

This is usually seen in luxury brands where the initial price for a product may be much higher at first, compared to later in its lifecycle when the hype (and demand) die down.

4

Product differentiation

The level of differentiation a product or service offers compared to competitors influences the effectiveness of a competitive pricing strategy. If a business can demonstrate unique features, superior quality, or additional value, it may be able to justify higher prices than its competitors. In contrast, for products or services with little differentiation, the price may become the primary factor in attracting customers, necessitating a more aggressive pricing approach.

2

Perfectly Inelastic Demand

This occurs when a price change does not impact the quantity demanded of the product. In other words, consumers are willing to buy a product regardless of its price.

3

Relatively Elastic Demand

This occurs when a small change in price results in a fairly significant change in quantity demanded. In other words, consumers are sensitive to changes in price and will likely buy more of a product if the price decreases. 

5

Unitary Elastic Demand

This occurs when a change in price results in a proportional change in quantity demanded. In other words, consumers are exactly as sensitive to changes in price as they are to quantity demanded.

1

Perfectly Elastic Demand

This occurs when a slight change in price results in an infinite change in quantity demanded. In other words, consumers are susceptible to changes in price and will only buy a product at a specific price.

4

Relatively Inelastic Demand

This occurs when a price change has a relatively small effect on the quantity demanded. In other words, consumers are not very sensitive to changes in price and will likely continue to buy a product even if the price increases.

1

Collecting your historical data

The algorithm gathers historical and real-time data from various sources. This includes internal data like sales history, production costs, and inventory levels, as well as external data such as market trends, competitor prices, and customer behavior.

2

Processing the accumulated data

The collected data is cleaned and prepared for analysis. AI algorithms require high-quality, relevant data to make accurate predictions. This stage often involves handling missing values, removing outliers, and ensuring the data is in a format suitable for analysis.

3

Selecting relevant factors

The algorithm identifies which factors (features) are most relevant to pricing. This could include product types, time of day, seasonality, customer segments, and more. Selecting the right features is crucial for the effectiveness of the pricing model.

4

Training the model

The AI uses the prepared data to train a machine-learning model. This involves feeding the data into the model and adjusting the model's parameters until it can accurately predict prices. Common techniques include regression analysis, decision trees, and neural networks.

5

Testing and Validation

The model is tested on a separate set of data to validate its accuracy. This helps ensure that the model will perform well on real-world data and not just the data it was trained on.

6

Predictive Analysis:

Once validated, the AI model analyzes current market data and predicts the most effective pricing strategy. It considers how different pricing options might affect demand, competitor responses, and overall profitability.

7

Dynamic Pricing:

The AI algorithm continuously updates its predictions based on new data. As market conditions change, the algorithm adjusts its pricing recommendations to remain optimal. This is often referred to as dynamic or real-time pricing.orm well on real-world data and not just the data it was trained on.

8

Pricing Monitoring and Adjustments:

The performance of the AI pricing model is continuously monitored. If the market changes or the model's predictions become less accurate, it may be retrained or adjusted to improve performance

In summary, competitive pricing requires a comprehensive understanding of costs, competitor prices, market conditions, product differentiation, and target customer segments. By considering these factors, businesses can develop an effective pricing strategy that balances competitiveness, value, and profitability.

Competitor pricing analysis is the process of gathering, evaluating, and interpreting data related to the pricing strategies of competitors within a specific market or industry. Learn more in detail about competitive pricing analysis here.

In summary, competitor pricing analysis is a critical component of an effective pricing strategy, helping businesses to understand the market landscape, identify opportunities, and develop strategies that maximise profitability and competitiveness. By continuously monitoring and adapting their pricing strategies, businesses can stay ahead of the competition and deliver value to their customers.

GET COMPETITOR PRICING DATA

How to Get Competitor Data?

Obtaining competitor pricing data is essential for businesses looking to establish an effective competitive pricing strategy. By gathering and analysing this data, businesses can better understand the pricing landscape, identify trends, and make informed decisions that help them remain competitive. Here are several methods businesses can employ to gather competitor pricing data. Here’s a thorough guide to data scraping.

1

Manual research

One straightforward approach to collecting competitor pricing data is through manual research. This can involve visiting competitor websites, physical stores, or online marketplaces to gather information on product prices, discounts, and promotions. Although this method can be time-consuming and may not provide real-time data, it can offer valuable insights into competitor pricing strategies.

2

Price tracking tools

Several price tracking tools are available in the market that can help businesses monitor competitor prices. These tools enable businesses to track prices for specific products or categories across multiple websites and platforms. Some price tracking tools also offer additional features, such as historical price data, competitor analysis, and market trend analysis, which can provide valuable insights for developing a competitive pricing strategy.

3

Web scraping

Web scraping is the automated process of extracting data from websites using specialized software. Businesses can use web scraping tools like Beautiful Soup, Scrapy, Selenium, Cheerio, etc., to gather competitor pricing data from e-commerce platforms, competitor websites, or other online sources. This method can provide more accurate and up-to-date data compared to manual research. Still, it may require technical expertise and ongoing maintenance to ensure the accuracy and reliability of the data.

4

Industry reports and data providers

Businesses can subscribe to industry reports or purchase data from third-party data providers to access competitor pricing information. These sources typically offer aggregated data on pricing trends, market dynamics, and competitor activities, providing businesses with a comprehensive view of the pricing landscape in their industry.

5

Social media and online formula

Monitoring social media platforms and online forums can also provide businesses with insights into competitor pricing strategies. Customers often share their experiences, opinions, and even product prices on these platforms, allowing businesses to gather valuable information on competitor prices and customer preferences.

6

Competitor collaborations

In some industries, businesses may benefit from collaborating with their competitors to share pricing data. This approach can promote transparency and help create a more competitive market environment. However, businesses must carefully consider the potential risks and legal implications associated with sharing pricing information with competitors.

ERP SYSTEM VS PRICING MANAGEMENT TOOL

How are ERP systems and Smart Pricing Software Different?

Enterprise Resource Planning or ERP systems integrate various business processes to improve overall efficiency. On the other hand, smart pricing software uses artificial intelligence to set optimal and intelligent prices by analyzing market and customer data.

The former streamlines internal operations and the latter enhances profitability through data-driven pricing strategies. Read more about how ERP systems and price intelligence software are different. Let’s have a look at the basis of their differences:

1

Functionality and Specialisation

ERP Systems offer broad business management capabilities, including basic pricing functions. They're designed to integrate various business processes but aren't specialized in pricing.

AI-Powered Price Management provides specialized, advanced pricing capabilities. They focus exclusively on optimizing pricing strategies using sophisticated algorithms and are tailored for this specific function.

2

Pricing Strategy and Adaptability

ERP Systems generally support basic pricing strategies with manual updates and rules-based adjustments. They're less adaptable to rapid market changes and typically require manual update intervention.

AI-Powered Price Management
employs dynamic and real-time pricing strategies, automatically adjusting prices based on market conditions, demand, and competitor actions. They offer a more adaptable and responsive approach to pricing.

3

Analytics and Insights:

ERP Systems include general analytics and reporting features which cover a broad spectrum of business data, including some pricing insights. However, these are usually not as in-depth or specific to pricing optimization.

AI-Powered Price Management
provides advanced analytics and predictive modelling specifically for pricing. They can forecast market behaviour, predict the impact of price changes, and suggest optimal pricing strategies based on deep learning and data analysis.

4

Automation and Efficiency:

ERP Systems handle various business processes with a certain level of automation, but pricing updates often require manual intervention and are subject to human error.

AI-Powered Price Management offers a high degree of automation, particularly for pricing adjustments. They reduce the need for manual updates, thereby minimizing errors and increasing operational efficiency.

5

Scalability and Customization:

ERP Systems are scalable across various business functions but may have limitations when it comes to handling complex, evolving pricing strategies. Customization is possible but can be broad and not as deep for pricing needs.

AI-Powered Price Management
is highly scalable and customizable when it comes to pricing. They can accommodate an expanding array of products and complex pricing structures, adapting as the business and market evolve.

In essence, while ERP systems provide an integrated solution for managing various business operations with basic pricing capabilities, AI-powered price management systems offer a focused, sophisticated approach to pricing. They bring advanced analytics, real-time adaptability, and a high degree of automation to the table, specifically catering to the dynamic needs of modern pricing strategies.

What is Price Scraping?

Price scraping is when automated web scraping tools or software extract pricing data from various e-commerce websites, online marketplaces, or competitors' websites. This data can then be analysed to inform pricing strategies and make better business decisions.

What is a Price Engine?

A price engine is a specialised software tool that determines the optimal prices for products or services by analysing various factors such as market demand, competitor pricing, cost of goods, and customer behaviour.It uses algorithms and data analytics to dynamically adjust prices in real-time, helping businesses maximise profits, improve sales, and remain competitive in the market. Essentially, it automates and optimises the decision-making process for pricing.

How to Scrape Prices from Websites?
  • Identify competitors
  • Determine the kind of data you want to collect
  • Pick a data scraping tool
  • Analyse the scraped data
  • Create a powerful competitive pricing strategy
How to Scrape Prices from Websites?
  • Identify competitors
  • Determine the kind of data you want to collect
  • Pick a data scraping tool
  • Analyse the scraped data
  • Create a powerful competitive pricing strategy

Competitive Pricing Examples

Competitive pricing examples can be found across various industries, showcasing how businesses use this pricing strategy to stay ahead of their competitors and attract customers. Here are three noteworthy competitive pricing examples. Know more about this strategy here.»

E-commerce
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Airlines
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Fast-food chains
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Customise your pricing
strategy
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Use competitive pricing
intelligence
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Unlock seasonality insights
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In these examples, businesses use competitive pricing strategies to identify market trends, react to competitor price changes, and optimise their own prices. This approach enables them to balance attracting customers, offering value, and maintaining profitability.

COMPETITIVE PRICING USE-CASES BY INDUSTRY

How Different Businesses Implement Competitive Pricing

Amazon Essentials


This space of Amazon Essentials wants to be among the cheapest by offering as low as possible prices to its customers. In contrast to the designer brands, Amazon Essentials use competitive pricing to be the cheapest on the market.

MediaMarkt in electronics retail

A classic example of a “best price guarantee”, MediaMarkt claims to check all the prices of their products daily to make sure that they remain the cheapest on the market. Therefore, they will always match the lowest price of their competitors to give customers the best deal possible.

Industry reports and data providers

Businesses can subscribe to industry reports or purchase data from third-party data providers to access competitor pricing information. These sources typically offer aggregated data on pricing trends, market dynamics, and competitor activities, providing businesses with a comprehensive view of the pricing landscape in their industry.

Social media and online forums

Monitoring social media platforms and online forums can also provide businesses with insights into competitor pricing strategies. Customers often share their experiences, opinions, and even product prices on these platforms, allowing businesses to gather valuable information on competitor prices and customer preferences.

Competitor collaborations

In some industries, businesses may benefit from collaborating with their competitors to share pricing data. This approach can promote transparency and help create a more competitive market environment. However, businesses must carefully consider the potential risks and legal implications associated with sharing pricing information with competitors.

Designer brands in clothing industry

Designer brands want to be perceived as high-value and status products. Hence, they price themselves exceptionally high in comparison to similar items. Although the quality is often better than cheaper fashion brands, the increase in price is not persé equal to the increase in quality.

Omnia Retail

Omnia Retail is a comprehensive pricing and marketing automation platform that combines competitor pricing data with advanced analytics and machine learning algorithms. This powerful combination enables businesses to develop and implement intelligent pricing strategies that adapt to changing market conditions and maximise profitability.

Omnia Retail

Omnia Retail is a comprehensive pricing and marketing automation platform that combines competitor pricing data with advanced analytics and machine learning algorithms. This powerful combination enables businesses to develop and implement intelligent pricing strategies that adapt to changing market conditions and maximise profitability.

Competerra

Competerra is a competitive intelligence platform that provides businesses with in-depth insights into competitor pricing, promotions, and assortment strategies. With its advanced analytics and visualisation capabilities, Competerra helps businesses to identify pricing opportunities and develop effective pricing strategies based on data-driven insights.

PROS

PROS is an AI-powered pricing and sales optimisation platform that helps businesses to maximise their revenue and profit margins. By combining competitor pricing data with advanced machine learning algorithms, PROS provides businesses with actionable recommendations for optimising their pricing strategies and staying competitive.

Vendavo

Vendavo is a leading enterprise pricing solution that offers a range of tools and features designed to help businesses maximise their profit margins. With its advanced analytics, segmentation, and price optimisation capabilities, Vendavo enables businesses to develop dynamic and responsive pricing strategies based on competitor and market data.

Price2Spy

Price2Spy is a versatile competitor price monitoring tool that provides businesses with real-time pricing data from a wide range of sources. With its customisable alerts, reports, and integrations, Price2Spy helps businesses to stay informed about competitor pricing activities and make data-driven pricing decisions.

Price Edge

Price Edge is a cloud-based pricing solution that helps businesses to develop, manage, and optimise their pricing strategies. With its robust competitor price tracking, analytics, and price optimisation capabilities, Price Edge enables businesses to make data-driven pricing decisions and maximise their profit margins.

PriceFX

PriceFX is a flexible and scalable pricing platform that provides businesses with various pricing tools and features, including competitor price monitoring, analytics, and optimisation. By leveraging the power of the cloud and advanced analytics, PriceFX helps businesses to develop and implement effective pricing strategies that maximise their profitability.

SYMSON

SYMSON is an AI-driven pricing optimisation platform that combines competitor pricing data with advanced machine learning algorithms to provide businesses with actionable pricing insights. By automating the pricing process and providing real-time recommendations, SYMSON helps businesses to optimise their pricing strategies and stay competitive in the market.

Prysinc

Prysinc is a powerful pricing intelligence tool designed to help businesses track and analyse competitor pricing data. With its real-time price monitoring capabilities, Prysinc provides businesses with accurate and up-to-date information, allowing them to make informed pricing decisions and stay ahead of the competition.

Blackcurve

Blackcurve is a comprehensive pricing optimisation platform that helps businesses to develop data-driven pricing strategies. By combining competitor pricing data, market trends, and internal cost data, Blackcurve provides businesses with actionable insights and recommendations, enabling them to optimise their pricing and boost profitability.

By choosing the right competitive pricing tool, businesses can gather valuable insights into competitor pricing strategies and develop data-driven pricing strategies that enhance their competitiveness, profitability, and market positioning.

Competitive Pricing Examples

Competitive pricing examples can be found across various industries, showcasing how businesses use this pricing strategy to stay ahead of their competitors and attract customers. Here are three noteworthy competitive pricing examples. Know more about this strategy here.»

E-commerce
Arrow
Airlines
Arrow
Fast-food chains
Arrow

In these examples, businesses use competitive pricing strategies to identify market trends, react to competitor price changes, and optimise their own prices. This approach enables them to balance attracting customers, offering value, and maintaining profitability.

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PRICE ELASTIC PRODUCT EXAMPLE

6 Products that have Price Elastic Demand

Certain products that are price elastic, doesn’t necessarily mean price is the only influence. Read more »

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ELASTICITY PRICING USE-CASES BY INDUSTRY

How different businesses implement elasticity pricing

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IMPLEMENT ELASTICITY IN SYMSON

7 Steps to implement Price Elasticity Pricing in SYMSON

SYMSON helps automatically calculate prices with price elasticity of demand formulae with the help of historical sales and prices. You need to complete the following steps in order to implement price elasticity on SYMSON.

While looking for a pricing software, one should take into account the following data system integrations and features.

In SYMSON, besides the following top attributes, you can apply psychological pricing tactics, import and export seamlessly in your preferred file type and much more. Read more about what you can do with the Genius Dynamic Pricing in SYMSON.

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How SYMSON’s Competitive Pricing Helps Companies

How SYMSON’s Elasticity 
Algorithm Helps Companies

How SYMSON’s Price
Engine Helps Companies

How SYMSON Helped WitwayGain a Competitive Edge in its Market

How SYMSON’s AI Pricing Tool Works

How SYMSON’s Competitive 
Pricing Helps Companies

More accurate price positioning

SYMSON automatically tracks the prices of your competitors, giving you a better overview of your price position in the market and how it relates to your expected growth.

Automate your pricing process

Automatically respond to price changes based on your current strategy and apply your own business rules. Also, you can set parameters to always act within boundaries, thus avoiding mistakes during manual input.

Increase sales volume and revenue

Setting a powerful AI-driven competitive pricing model allows your business to stay in control of your position relative to the competition, preventing the loss of potential revenue.

How SYMSON’s elasticity feature helped La Place enhance their pricing strategy

What you can do with Genius Dynamic Pricing?

What you can do with Genius Dynamic Pricing?

How SYMSON’s competitive pricing feature helped 
INDI enhance their pricing strategy

Improve profit margin

INDI enhances profit margins with optimal prices using SYMSON’s pricing algorithm.

Company knowledge consolidated in SYMSON

Datasets, insights and knowledge are consolidated in SYMSON for easy access and assessment.

Save time and manual work

After SYMSON helps distinguish Key Value Items,SYMSON enabled INDI to receive the right prices at the push of a button. you can get profitable price recommendations that will help improve your margins.

HAVE A QUESTION?

Frequently Asked Questions on Competitive Pricing

Got a question? We're here to answer! If you don't see your question here, drop us a line on our Contact Page.

How to conduct a competitive price analysis?
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How to scrape prices from websites?
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What is competitive pricing? 
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How to get competitor data?
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RESOURCES

The Next Steps on your Pricing Journey

We’d love to share some incredible resources that will help you further understand pricing strategy and give you the best head start on your pricing journey.