Pricing Models in Product Management: Strategies for Success
by Harry Chang • 7 January 2025
by Harry Chang • 7 January 2025
Master the art of product pricing, from traditional cost-plus to AI-driven dynamic pricing, through real-world examples like Netflix and Adobe. Gain insights on global pricing strategies and the impact of emerging trends like AI and blockchain on future product management.
Pricing is a critical aspect of product management that can make or break a product's success in the market. It's not just about setting a number; it's about creating a strategy that aligns with your product's value proposition, target market, and overall business objectives. This article explores various pricing models used in product management, factors influencing pricing decisions, and strategies for implementing and optimising your pricing approach.
Cost-plus Pricing: This traditional model involves calculating the total cost of producing a product and adding a markup percentage. While straightforward, it may not account for market demand or perceived value.
Value-based Pricing: This approach sets prices based on the perceived value to the customer rather than production costs. It requires a deep understanding of customer needs and willingness to pay.
Competitive Pricing: Pricing is set in relation to competitors' prices. This can be at-par, premium, or discount pricing depending on your market position and strategy.
Penetration Pricing: Initially setting a low price to quickly gain market share, then potentially raising prices once established. This can be effective for new market entrants.
Skimming Pricing: Starting with a high price and lowering it over time. This works well for innovative products or when targeting early adopters.
Subscription-based Pricing: Charging a recurring fee for ongoing access to a product or service. Popular in SaaS and content-based businesses.
Freemium Model: Offering a basic version for free while charging for premium features. This can help acquire users and upsell them to paid tiers.
Dynamic Pricing: Adjusting prices in real-time based on demand, supply, and other market factors. Common in industries like airlines and e-commerce.
Several key factors should be considered when determining your pricing strategy:
Target market and customer segments
Product positioning and perceived value
Production and operational costs
Competitor pricing and market conditions
Company goals and objectives
Product lifecycle stage
Understanding these factors helps in crafting a pricing strategy that not only covers costs and generates profit but also aligns with overall business strategy and market realities.
Implementing a pricing strategy is an iterative process that involves:
Conducting thorough market research
Analysing price sensitivity among target customers
A/B testing different price points
Monitoring customer feedback and behaviour
Adjusting prices based on data and insights
It's crucial to continually test and refine your pricing strategy to ensure it remains effective as market conditions change.
Netflix: Tiered Subscription Model
Netflix successfully transitioned from a flat-rate subscription to a tiered model, offering different plans based on streaming quality and number of screens. Initially controversial, this strategy allowed Netflix to cater to different customer segments and increase revenue. The tiered approach includes Basic (standard definition, one screen), Standard (high definition, two screens), and Premium (ultra-high definition, four screens) options. This model has enabled Netflix to maintain a competitive entry-level price while capturing more revenue from power users. The success is evident in Netflix's growth from 44.4 million subscribers in 2013 to over 230 million in 2023, demonstrating how effective pricing can drive both customer acquisition and revenue growth.
Adobe: Shift to Subscription-based Pricing
Adobe's move from one-time purchases to a subscription-based model (Creative Cloud) in 2013 marked a significant shift in the software industry. Previously, Adobe sold its creative software as standalone products with perpetual licences, which created high upfront costs for users. The subscription model lowered the entry barrier, provided Adobe with more predictable revenue, and ensured customers always had access to the latest features. Despite initial user resistance, the long-term results have been positive: Adobe's revenue grew from $4 billion in 2013 to over $17 billion in 2022, and subscribers increased from 1.8 million in 2014 to over 29 million in 2023. This transition highlighted the potential of subscription pricing in software and the importance of managing major pricing changes carefully.
Viki: Freemium and Localised Pricing Strategy
Viki, a global streaming platform for Asian entertainment, employs a freemium model combined with localised pricing. They offer a free ad-supported tier and a premium subscription (Viki Pass) with additional features. Notably, Viki adjusts its subscription prices based on the user's geographic location, reflecting local economic conditions and willingness to pay. This strategy has allowed Viki to expand its global user base while maximising revenue from different markets. The localised pricing approach demonstrates how understanding regional differences can lead to a more effective global pricing strategy.
Product managers often face several challenges in pricing:
Balancing profitability with market share goals
Adapting to rapidly changing market conditions
Managing customer perceptions of value
Navigating pricing in global markets with different economic conditions
With regards to the previous section highlighting several case studies, Clare (President, NUS Product Club) shares her perspective in the clip below on why Viki chose not to offer subscription passes for a particular country. This was a key takeaway for her during her stint as a Product Intern as Rakuten Viki:
All in all, overcoming these challenges requires a combination of data-driven decision making, market insight, and sometimes a willingness to take calculated risks.
The future of pricing in product management is likely to be shaped by:
a. AI and Machine Learning for Dynamic Pricing Optimisation
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionising pricing strategies by enabling more sophisticated and responsive pricing models:
Real-time price adjustments: AI algorithms can analyse vast amounts of data to adjust prices in real-time based on factors like demand, competitor pricing, and inventory levels.
Predictive analytics: ML models can forecast demand patterns and optimise pricing accordingly, helping businesses stay ahead of market trends.
Personalised pricing: AI can analyse individual customer data to offer tailored pricing, maximising both customer satisfaction and revenue.
b. Personalised Pricing Based on Individual Customer Data
As data collection and analysis capabilities improve, personalised pricing is becoming increasingly feasible and effective:
Behavioural pricing: Prices can be adjusted based on a customer's browsing history, purchase patterns, and engagement with the product.
Value-based segmentation: Customers can be grouped into segments based on their perceived value of the product, allowing for more nuanced pricing strategies.
Ethical considerations: While personalised pricing can increase revenue, businesses must navigate the ethical implications and potential backlash from customers who may view it as unfair.
c. Blockchain and Transparent Pricing Models
Blockchain technology has the potential to transform pricing models by introducing greater transparency and trust:
Smart contracts: These can automate pricing agreements and ensure all parties adhere to predetermined conditions.
Decentralised pricing mechanisms: In some industries, blockchain could enable community-driven pricing models where prices are determined by consensus.
Supply chain transparency: Blockchain can provide visibility into the entire supply chain, potentially justifying premium pricing for ethically sourced or sustainable products.
As these trends continue to evolve, product managers will need to stay agile, continuously learning and adapting their pricing strategies to leverage new technologies and meet changing customer expectations. The future of pricing will likely be characterised by greater personalization, transparency, and responsiveness to real-time market conditions.
Effective pricing is a crucial element of successful product management. By understanding various pricing models, considering key influencing factors, and implementing a data-driven approach to testing and optimization, product managers can develop pricing strategies that drive both customer satisfaction and business success. Remember, pricing is not a one-time decision but an ongoing process that requires continuous attention and refinement.
Source for cover image: https://www.asiaone.com/digital/will-netflix-price-cuts-ad-supported-plan-help-add-more-users
As one of the Co-Founders of NUS Product Club, Harry has re-established his commitment to our Publicity Team, focusing primarily on managing our club's website, as well as the renewal of our "Lorong Product" podcast. Besides being the Founding President of NUS Product Club, Harry has also taken on a variety of roles in other student clubs, including as President of NUS Statistics and Data Science Society, Design Manager at NUS Fintech Society, Deputy Head of Finance at Google Developer Student Clubs NUS, as well as Research & Strategy Executive at NUS Human Capital Society. Harry has also recently commenced his first full-time role after graduation as a Data Analyst at PayPal, stemming from prior data-related internships at Decathlon, SCOR, Quest and Groundup.ai.