Personalized marketing

Personalized marketing, also known as one-to-one marketing or individual marketing, is a marketing strategy by which companies use data analysis and digital technology to show adverts to individuals based on their perceived characteristics and interests. Marketers use methods from data collection, analytics, digital electronics, and digital economics then use technology to analyze it and show personalized ads based on algorithms that attempt to deduce people’s interests.

Technology

Personalized marketing is dependent on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalability. Technology enables marketing professionals to collect first-party data such as gender, age group, location, and income, as well as connect them with third-party data such as click-through rates of online banner ads and social media participation.

Data Management Platforms: A data management platform Growing number of DMP software options are available including Adobe Systems Audience Manager and Core Audience (Marketing Cloud) to Oracle-acquired BlueKai, Sitecore Experience Platform and X+1

Customer Relationship Management Platforms: Customer relationship management (CRM) is used by companies to manage and analyze customer interactions and data throughout the customer lifecycle, improving relationships, boosting retention, and driving sales growth. CRM systems are designed to compile information on customers across different channels (points of contact between the customer and the company) which could include the company's website, live support, direct mail, marketing materials and social media. CRM systems can also give customer-facing staff detailed information on customers' personal information, purchase history, buying preferences and concerns. Most popular enterprise CRM applications are Salesforce.com, Microsoft Dynamics CRM, NetSuite, Hubspot, and Oracle Eloqua.

Beacon Technology: Beacon technology works on Bluetooth low energy (BLE) which is used by a low frequency chip that is found in devices like mobile phones. These chips communicate with multiple Beacon devices to form a network and are used by marketers to better personalize the messaging and mobile ads based on the customer's proximity to their retail outlet. Beacon technology circumference has shrunk, ultimately facilitating its use. refers to marketing strategies applied directly to a specific consumer. Having knowledge of the consumer's preferences, enables suggesting specific products and promotions to each consumer. One-to-one marketing is based on four main steps in order to fulfill its goals: identify, differentiate, interact, and customize.

Identify:

Costs and Benefits

Personalized marketing is used by businesses to engage in personalized pricing which is a form of price discrimination. Personalized marketing is being adopted in one form or another by many different companies because of the benefits it brings for both the businesses and their customers.

Described below are the costs and benefits of personalized marketing for businesses and customers:

Businesses

Prior to the Internet, businesses faced challenges in measuring the success of their marketing campaigns. A campaign would be launched, and even if there was a change in revenue, it was often challenging to determine what impact the campaign had on the change. Personalized marketing allows businesses to learn more about customers based on demographic, contextual, and behavioral data. This behavioral data, as well as being able to track consumers’ habits, allows firms to better determine what advertising campaigns and marketing efforts are bringing customers in and what demographics they are influencing. This allows firms to drop efforts that are ineffective, as well as put more money into the techniques that are bringing in customers.

Some personalized marketing can also be automated, increasing the efficiency of a business's marketing strategy. For example, an automated email could be sent to a user shortly after an order is placed, giving suggestions for similar items or accessories that may help the customer better use the product he or she ordered, or a mobile app could send a notification about relevant deals to a customer when he or she is close to a store.

Customers

Personalized marketing helps to bridge the gap between the vastness of what is available and the needs of customers for streamlined shopping experience. By providing a customized experience for customers, frustrations of purchase choices may be avoided. Customers may be able to find what they are looking for more efficiently, reducing the time spent searching through unrelated content and products. Consumers have become accustomed to this type of user experience that caters to their interests, and companies that have created ultra-customized digital experiences, such as Amazon and Netflix.

Future of Personalized Marketing

Personalized marketing is becoming even more relevant with the emergence of relevant and supportive technologies like Data Management Platform, geotargeting, and various forms of social media. It will likely be used in future of marketing strategies in competitive markets.

Adapt to technology: Companies must adapt to relevant technologies in order for personalized marketing to be implemented. They may need to familiarize themselves with forms of social media, data-gathering platforms, and other technologies. Companies have access to machine learning, big data and AI that automate personalization processes.

Restructuring current business models: Time and resources are necessary to adopt new marketing systems tailored to the most relevant technologies. Organized planning, communication and restructuring within businesses are essential to successfully implement personalized marketing. Personalized marketing prompts businesses to consider customer data and relevant outside information. Company databases are filled with expansive personal information, such as individuals' geographic locations and potential buyers’ past purchases, which raises concerns about how that information is gathered, circulated internally and externally, and used to increase profits.

Legal liabilities: To address concerns about sensitive information being gathered and utilized without obvious consumer consent, liabilities and legalities have to be set and enforced. To prevent any privacy issues, companies manage legal hurdles before personalized marketing is adopted. Specifically, the EU has passed rigid regulation, known as GDPR, that limits what kind of data marketers can collect on their users, and provide ways in which consumers can suit companies for violation of their privacy. In the US, California has followed suit and passed the CCPA in 2018.

Controversies

Use of algorithms

Algorithms generate data by analyzing and associating it with user preferences, such as browsing history and personal profiles. Rather than discovering new facts or perspectives, one will be presented with similar or adjoining concepts ("filter bubble"). Some consider this exploitation of existing ideas rather than discovery of new ones. Presenting someone with only personalized content may also exclude other, unrelated news or information that might in fact be useful to the user. In November 2014, the New England Patriots were forced to apologize after an automatic, algorithm-generated bot was tricked into tweeting a racial slur from the official team account.

Internet marketing

Personalized marketing has proven most effective in interactive media, particularly on the internet. A website has the ability to track a customer's interests and make suggestions based on the collected data. Many sites help customers make choices by organizing information and prioritizing it based on the individual's liking. In some cases, the product itself can be customized using a configuration system.

The business movement during Web 1.0 leveraged database technology for targeting products, ads, and services to specific users with particular profile attributes. The concept was supported by technologies such as BroadVision, ATG, and BEA. Amazon is a classic example of a company that performs "One to One Marketing" by offering users targeted offers and related products.

Difficulties

McKinsey identified 4 problems that prevent companies from implementing large scale personalizations:

Companies collect and store data but often fail to synchronize and analyze the correct data at the right time.
Marketers are looking for external motives for personalization, such as holidays, while personalized marketing works best when it is based on triggers - i.e. customers' own behavior.
Personalized marketing works best in agile companies where there's cross-department collaboration. Most companies are used to hierarchal, strict structures that prevents data sharing across companies.
Using inadequate technology results in the implementation of ineffective solutions.