Unlocking the Power of Consumer Value Exchange: How to Build Lasting Relationships with Customers

Unlocking the Power of Consumer Value Exchange: How to Build Lasting Relationships with Customers

In the era of data-driven marketing, companies are using data to personalize marketing messages, improve customer experience and products or services. However, there is growing concern among consumers about privacy and ad-blocking due to the lack of perceived benefits to them. To address these issues, businesses need to adopt new models of value exchange that prioritize transparency, trust, and mutual benefit.?

In this article, we will explore some of these models and provide examples of how businesses can implement them.

A consumer value exchange model is a framework that outlines the value that a business offers to a consumer in exchange for their data or attention. The model is based on the idea that consumers are more likely to engage with a business if they feel that they are receiving something of value in return for their time, attention, or data. The key to a successful consumer value exchange model is to create a win-win scenario that benefits both the business and the consumer. Consumer value exchange models involve the collection of consumer data in exchange for benefits or services that are provided to the consumer. These models are widely used by companies across different industries, including media, smart homes, automotive, FMCG, and more. The goal of these models is to provide benefits to consumers while collecting valuable data that can be used to improve products and services, personalize recommendations, and target marketing efforts.

To address privacy and ad-blocking concerns, businesses need to prioritize transparency, trust, and mutual benefit. Here are some strategies that businesses can adopt to achieve this:

1. Transparency: Businesses need to be transparent about what data they are collecting, how it will be used, and who will have access to it. They should also make it easy for customers to opt out of data collection if they choose to do so.

2. Trust: Businesses need to establish trust with their customers by being transparent, delivering on their promises, and providing a great customer experience. This will encourage customers to share their data and engage with the business.

3. Mutual Benefit: Businesses need to ensure that the value exchange is mutually beneficial for both the business and the customer. This means providing real material benefits that are relevant to the customer's needs and preferences.

Examples of consumer value exchange models that businesses can adopt to address trust, engagement, privacy and ad-blocking concerns include Loyalty Programs, Collaborative Marketing, Crowdsourcing, Referral Programs and last but not least Personalization and Content.?

Loyalty Programs: Many businesses offer loyalty programs that reward consumers for repeat purchases or brand loyalty in exchange for data. For example, customers earn "tokens" for each tracked purchase, which can be redeemed for discount or any other benefit.

Collaborative Marketing: Some businesses partner with consumers to create marketing content in exchange for presented goods or services. For example, clothing companies showcasing photos submitted by customers wearing branded clothing.

Crowdsourcing: Crowdsourcing involves businesses soliciting input from their customers to help create new products or services. For example, Lego Ideas invites customers to submit ideas for new Lego sets, and if their idea is selected, they receive a share of the profits.

Referral Programs: Referral programs incentivize customers to refer their friends and family to a business in exchange for rewards such as discounts or free products. For example, Bolt offers a referral program that rewards existing customers with free rides for referring new riders.

Personalization: Some businesses offer personalized products or services tailored to individual consumers' needs and preferences. For example, meal delivery services like Blue Apron allow customers to choose their meals and customize their orders based on dietary preferences and restrictions. Amazon use customers' purchase history and browsing behavior to recommend products that they might be interested in. Businesses can also offer exclusive or premium content in exchange for customers' data or attention. The New York Times allows readers to access a limited number of articles for free, but requires a subscription for unlimited access to its content.

Less common though with huge potential is value exchange business model in field of smart housing or vechiles. For example, a smart home technology companies that offer a range of products for the home, including thermostats, security cameras, and smoke detectors can use data from these devices to provide users with personalized recommendations on how to save energy and improve home security. By using this data to help users save money and increase home safety, companies are able to offer a valuable service in exchange for users' data. Another example is a smart lighting systems that allows users to control their lights from a smartphone app. This technology offers users the ability to create custom lighting scenes and set schedules for their lights. The app also collects data on users' lighting habits, which is used to provide personalized recommendations on how to save energy and improve sleep quality. By providing these recommendations, companies are able to offer users added value in exchange for their data. Smart lock system that allows users to remotely lock and unlock their doors using a smartphone app. These companies use data from the lock to provide users with real-time notifications when the lock is used, and to track who has access to the lock. This data can be used to improve home security, and also to provide personalized recommendations on how to better manage access to the home.?

These examples demonstrate how smart home developers can use consumer value exchange models to offer valuable services in exchange for users' data. By providing personalized recommendations on energy savings, home security, and more, smart home developers can help users get the most out of their devices while also building trust with their audience.

Another industry introducing Value Exchange to consumers is smart vehicles. For example, General Motors (GM) OnStar system. OnStar is a subscription-based service that provides a range of features to GM vehicle owners, including automatic crash response, roadside assistance, stolen vehicle assistance, and turn-by-turn navigation. OnStar uses data collected from the vehicle to provide these services, such as location and speed data, as well as data from sensors in the vehicle. By offering these services, GM is able to provide added value to its customers, in exchange for their data. Toyota's connected vehicle technology is another example. Toyota uses data from its connected vehicles to improve safety, reduce traffic congestion, and improve the overall driving experience. For example, Toyota's technology can use data on driving habits and traffic patterns to provide real-time traffic updates and route recommendations, as well as to help prevent accidents. By providing these benefits to users, Toyota is able to offer a valuable service in exchange for their data.?

Certainly, there are also examples of consumer value exchange models in the fast-moving consumer goods (FMCG) segment as well: One example is the loyalty program offered by Starbucks, a coffee company. Starbucks' loyalty program provides users with rewards for making purchases at their stores. These rewards include free drinks, food items, and other benefits. In exchange for these rewards, Starbucks collects data on users' purchasing habits, which is used to improve the user experience, offer personalized recommendations, and better target marketing efforts.

Value exchange model can be applied in so many other categories as well: from medical research to urban planning, from education to finances.?

For example some genetic testing and analysis companies collect consumer data to conduct medical research. Users can opt-in to have their genetic data used for research, in exchange for receiving personalized health reports and other benefits.?

Data is crucial currency for urban planning as well. As an example in this field is Sidewalk Labs, a company owned by Alphabet (Google's parent company), which is working on a project called "Quayside," which aims to create a sustainable and innovative neighborhood in Toronto, Canada. Sidewalk Labs is collecting data on residents' transportation habits, energy usage, and other factors, in order to design a more efficient and sustainable urban environment.?

Data for improving education: Some educational technology companies use data collected from student interactions with their platform to provide personalized recommendations and improve learning outcomes. This data includes information on how students interact with content, how long they spend on certain topics, and other factors.?

Data for financial planning: Some fintech companies use data on users' financial transactions and habits to provide personalized financial planning and budgeting advice. Users can opt-in to have their financial data used for these purposes, in exchange for receiving a more customized and useful financial planning experience. These examples demonstrate how consumer data can be used in unique and beneficial ways beyond typical marketing and advertising purposes. By offering valuable benefits and services in exchange for consumer data, companies can build trust with their customers and foster a more positive relationship.

In conclusion, businesses need to adopt new models of value exchange that prioritize transparency, trust, and mutual benefit to address privacy and ad-blocking concerns. By doing so, businesses create a win-win scenario that benefits both the business and the consumer. Loyalty Programs, Collaborative Marketing, Crowdsourcing, Referral Programs, Personalization and Content are some examples of value exchange models that businesses can adopt. To achieve success, businesses need to establish trust with their customers, be transparent about data collection, and ensure that the value exchange is mutually beneficial.?

Lasma Rabaud

PhD Candidate Collaboration-CSR-SME/Collaboration-RSE-PME

1 年

How do we define AI ...for now I guess it's machine learning (knowledge) vs humans (wisdom). And yes,totally agree, so exciting!

Aija Slahota

Digital Growth & Martech Partnerships at Omnicom Media Group

1 年

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