Personalization, a complete guide by Dynamic Yield
2026-02-28 18:54 Diff
https://www.dynamicyield.com/article/personalization-guide/

Summarize this articleHere’s what you need to know:

  • Personalization is all about one-to-one experiences. It leverages data and technology to anticipate individual customer needs and deliver relevant content, recommendations, and offers across various channels.
  • It’s a game-changer. Personalization enhances customer experience, boosts engagement and conversion rates, and ultimately drives business growth. Research shows that 71% of consumers are swayed by personalized experiences in emails, and 98% of eCommerce brands believe in its value.
  • It’s not a one-size-fits-all approach. There are numerous types of personalization, including website, mobile, email, app, search, and advertising personalization. Each tailors the experience to the individual based on data and technology.
  • The benefits are real. Personalization translates to increased customer satisfaction, loyalty, and brand advocacy. It can also improve ROI, conversion rates, and revenue. For instance, a small business bank saw a surge in acquiring new cardholders after implementing personalization.
  • Challenges exist, but they’re surmountable. Implementing personalization requires a strong data foundation, investment in technology and resources, and a shift in organizational culture. Data privacy regulations like GDPR also need to be considered.
  • It’s everywhere, from retail to finance. Personalization can be applied across industries and channels. For example, a retailer might recommend complementary products to customers adding an item to their cart, or a financial services company might target customers with relevant offers.
  • The future is bright. Personalization is constantly evolving and is poised to play an even bigger role in the future of business. New technologies like AI and machine learning are enabling real-time and large-scale personalization.

Imagine a world where every interaction with a brand feels like it was crafted just for you. Where websites anticipate your needs, apps deliver recommendations you’ll love, and marketing messages resonate with your deepest desires. This is personalization’s promise, and it’s transforming the way businesses understand and form long-lasting connections with their customers.

In this comprehensive guide, we’ll explore the ins and outs of personalization, from its fundamental principles to cutting-edge strategies. You’ll discover the channels, data sources, and technologies needed to implement a personalization program that builds lasting customer relationships and drives business growth. Whether you’re a marketing professional, entrepreneur, or simply a curious consumer, this guide will empower you to unlock the power of personalization and create unforgettable experiences.

What is personalization?

Personalization is the discipline of providing the most relevant experience to a particular audience or individual. Personalization is made possible with personalization engines, which help brands automate the collection and interpretation of customer insights and determine, deliver, and measure the optimum experience for an individual customer or prospect based on their past interactions, current context, and predicted intent.

Personalization vs segmentation

Personalization dynamically responds to an individual customer’s unique needs to increase a communication’s relevance, whereas segmentation addresses the “average user’s” needs in a correlated group.

While they are different methodologies, a successful personalization strategy lies in a strong segmentation foundation. The best practice is first to discover and analyze the most valuable and profitable visitor segments, then to personalize.

Learn more about the difference between A/B testing, segmentation, and personalization, and how to efficiently orchestrate your marketing strategy and serve customers across all your inbound, outbound, and real-time channels.

Benefits of personalization

Personalization is increasingly recognized as a cornerstone of a positive customer experience, offering a kaleidoscope of benefits for both consumers and brands alike. The evolution of personalization technology has significantly transformed consumer expectations, leading to a growing demand for customized experiences in every facet of daily life.

The impact of personalization in the realm of eCommerce is particularly striking. Research shows that nearly 90% of consumers are swayed by personalized online shopping experiences. Similarly, an almost equal percentage of marketers report a noticeable effect on revenue growth attributed to eCommerce personalization efforts. This strong connection between personalized experiences and commercial success underscores the critical need for businesses to invest in and continually improve their personalization strategies.

By focusing on personalization, companies can not only meet but exceed customer expectations, fostering loyalty and driving business growth in the process. The dynamic nature of consumer behavior necessitates an agile approach to personalization, one that is capable of adapting to the ever-changing preferences and behaviors of the market.

On the brand side, personalization impacts several key performance indicators (KPIs), driving:

  • Increased Acquisition ROI: By tailoring customer experiences based on initial interactions, brands can connect more effectively with their audience, creating an emotional bond that enhances the return on investment from marketing campaigns.
  • Enhanced Engagement: Companies can significantly boost customer engagement through personalized communications and offers. This approach keeps customers involved and interested throughout their journey with a brand.
  • Optimized Customer Behavior: Tailored messaging encourages customers to favor specific actions that align with business objectives, like frequent service or product usage.
  • Stronger Customer Loyalty: By understanding and catering to individual preferences and needs, brands can develop more meaningful relationships with their customers.
  • Long-Term Revenue Growth: Personalized experiences foster repeat business and customer advocacy, contributing to a sustainable increase in revenue.

Personalization statistics

Looking for quantified measures of the benefits of personalization? These personalization statistics were compiled from original Dynamic Yield research:

  • 71% of consumers believe personalized experiences would influence their decision to interact with emails.
  • 57% of consumers say online retailers can make experiences more enjoyable by helping them check out.
  • As of 2023, 98% of eCommerce brands say they believe in the value of personalization, with 64% planning to invest in further maturing their personalization programs.

You can find more personalization stats from three of our comprehensive reports, highlighting opportunities you can start capitalizing on today.

Additionally, brands have self-reported the following gains from their personalization programs:

  • Sportswear brand On has witnessed substantial boosts in engagement, conversions, and overall customer satisfaction from their personalization program, with recommendations alone generating 390X in ROI.
  • New Zealand retailer The Warehouse Group reports 11% of their revenue from personalization, with 28 hours per week saved in operational costs from personalized email initiatives.
  • Ocado, the world’s largest online grocery store, created a meaningful impact with testing to drive customer engagement at every stage, resulting in a +13.5% uplift in subscriptions.
  • Personalization strategies deployed on luxury retailer LUISAVIAROMA’s mobile app led to a 25% uplift in direct revenue.
  • Leading financial organization Synchrony’s personalization program led to $27.1M in incremental revenue.

Challenges of Personalization

Personalization is a capability that spans far more across the organization than a single marketing campaign or program. While emerging technologies have helped organizations implement personalization, its long-term management requires additional organizational investments in culture, resources, processes, and effectiveness to transform into a key differentiator and competitive advantage. However, even the beginning stages of a personalization maturity journey can offer organizations a distinct ROI.

GDPR and personalization

The GDPR is a comprehensive framework for privacy and data protection. Its objective is to standardize privacy and data protection across the EU, ensuring the protection of residents’ personal data. The regulation supersedes the EU’s 1995 privacy directive, introducing new concepts and modifications to the existing privacy and data protection framework. These include stricter consent requirements, enhanced rights for data subjects, such as the right to access, rectify, delete or port their data, and significant penalties for non-compliance.

The GDPR’s influence extends beyond the EU, applying to any organization that processes the personal data of EU residents, regardless of the organization’s location. This global applicability ensures that virtually every significant website worldwide must comply with GDPR if it handles data from EU visitors. The regulation’s broad scope underscores the importance of adhering to its provisions for organizations worldwide, including those in North America, Asia, and beyond.

Personalization engines, acting as data processors, play a crucial role in helping data controllers manage customer data in compliance with GDPR. These engines provide the infrastructure and tools necessary for GDPR personalization and enable businesses to allow their customers to:

  • Inquire about the data collected on them
  • Opt out of the tracking
  • Request the deletion of all previously stored data

    • By facilitating these processes, personalization engines enable organizations to honor the rights of individuals under GDPR, thereby contributing to a more transparent and respectful handling of personal consumer data.

    Types of personalization

    Effective personalization varies across different channels and touchpoints, including tailoring content, products, offers, and complete customer experiences on websites, in emails, through native mobile apps, and even in physical retail environments such as in-store kiosks, drive-thrus, and more. Each channel offers unique opportunities for personalization, with the end goal of delivering a unified customer experience:

    Website personalization

    Website personalization comes in many different shapes and sizes. It encompasses a variety of techniques and use cases, each tailored to achieve specific goals for different customer segments or scenarios. From targeted content or product recommendations to dynamic web page layouts, individualized banners, and personalized messages, marketers can meticulously test, refine, and tailor these experiences to create a “just-for-you”-type experience for every visitor.

    You can learn more about website personalization, including strategies to implement, challenges to consider, and examples to get started.

    Personalized landing pages

    In B2B, many marketers send personalized landing pages directly to prospects rather than offer personalized opportunities on their websites, as they’re better geared to one distinct call-to-action. A personalized experience that builds upon customer data such as geo-location, time and past behavior will offer a dramatically compelling advantage over a static page virtually every time.

    Mobile personalization

    As of 2023, mobile traffic accounts for nearly 60% of web traffic, meaning that brands’ mobile websites offer a unique experience for most users and is essential for all brands. Mobile web personalization is the act of transforming static mobile websites into adaptive native experiences.

    Extending personalization from desktop to mobile websites allows brands to adapt content, notifications, layouts, and recommendations dynamically based on individual preference, purchase history, and data like browsing behavior, device type, and location to create a seamless and engaging mobile experience for each customer.

    App personalization

    Mobile app personalization expands upon the benefits of mobile personalization, offering the competitive benefit of requiring users to sign in to use the app. Because of this, mobile apps offer brands boundless opportunities for zero-party and first-party data capture to provide additional context and build rich user profiles that can be deployed across platforms. This owned-and-operated platform additionally has the functionality of deepening customer engagement and loyalty with in-app messages, push notifications, and triggered emails.

    Personalized search

    Brands can implement personalized search across mobile, app, and web to populate search results according to visitor preferences and real-time behavior. Customers who visit e-commerce sites anticipate finding products as quickly and painlessly as possible: 80% of them head to the search bar as soon as they land on a retailer’s homepage. Highly personalized search results can accurately deliver relevant items using individual customer behavior, overall trend, or a tailored mix.

    Email personalization

    Email remains a marketing powerhouse for many brands because it delivers high ROI and direct customer connection. Thanks to interactive elements, personalization, and automation, marketers can send more engaging and effective emails. Email personalization is tailoring email content and campaigns according to subscribers’ unique identifiers, such as location, loyalty status, shopping behavior and affinities.

    Allowing connections outside their website, brands can use personalized email strategies to capture their customer’s attention at every critical moment, whether helping them pick up where they left off, delivering relevant content and recommendations, guiding them to learn more about the company or offering exclusive benefits.

    Learn more about personalized email strategies.

    Personalized ads

    Brands use personalized advertising to engage users through more relevant content in the hopes of responding positively. Digital advertising also allows marketers to personalize the layout, content, and design of post-click experiences according to user preferences in real-time across multiple touchpoints and marketing campaigns.

    Triggered messages

    Sending the right messaging at the right time can positively impact conversion rates. You can nudge customers to complete actions depending on their behavior and couple it with product recommendations, educational content, or offers in personalized emails, push notifications, or SMS to help close the conversion loop.

    Additional personalization channels

    Organizations are adding more channels to their customer journeys as the digital revolution continues. Engineering teams are moving from a monolithic architecture to those built on microservices, API-first, cloud-native and headless (AKA MACH architecture). These changes have opened up opportunities for brands to embed personalization and user-level data into additional channels like:

    • Mobile apps
    • Digital displays
    • Interactive screens
    • Clienteling apps
    • Point-of-sale (POS)
    • Call centers

    Examples of personalization

    Personalization can be used across industries and channels. Here are some examples of select personalisation, as illustrated through customer use cases worldwide.

    Increase acquisition ROI by serving personalized content, recommendations, offers, and guided experiences from the very first-page view

    Organizations across industries can increase ROI by serving personalized content, recommendations, and offers from the first page view. For example, this leading small business bank implemented pop-up and overlay surveys across their mobile app, mobile web, and website to successfully understand new cardholders’ unique needs and interests. They used this survey to recreate an in-person consultative experience that enabled self-segmentation by asking visitors about their industry, goals, and more. They used the responses to recommend the right small business product and/or service. As a result, the bank saw an overall increase in acquiring new small business cardholders.

    View use case: Guided selling to increase product discovery

    Display complementary recommendations upon adding a product to your cart

    For eCommerce-based businesses, including retailers and online grocers, the opportunity to surface additional products is limited once the user drives down the purchase funnel. However, a product-recommendations-infused popup modal on a product page can help encourage discovery until purchase. For example, once a website visitor adds an item to their cart, this retailer surfaces complementary items to drive upsells—a strategy that resulted in a 7% uplift in revenue per user.

    View use case: Complimentary cart page recommendations

    Target different promotions to specific audiences to drive revenue from email

    Brands can use dynamic email content and offer different promotions to specific audiences to increase their email conversion rates and overall purchases. For example, a large international sunglass retailer targeted specific coupons to the audiences most likely to act on their email offers to increase promotional activation.

    View use case: Targeted promotional email offers

    Re-engage customers with relevant offers

    Disengaged customers aren’t likely to return to a brand without a reason. By promoting personalized offers to customers at risk of attrition, companies can expect to see reengagement from this audience. For example, a leading Fintech company leveraged user predictive spend to identify and target customers likely to disengage from their card with relevant offers. By delivering personalized time-bound offers across the mobile app, mobile web and website for recommended products, the company was able to decrease attrition rates.

    View use case: Serve relevant offers to disengaged customers

    eCommerce personalization

    eCommerce personalization offers retailers a unique slew of real-time benefits that energize an existing customer base and increase profitability.

    Product recommendations

    Among personalization tactics, recommendations stand out for their profound impact, making them a popular choice from the onset and throughout the journey of personalization. Powered by product recommender systems, product recommendations use aggregated data and predefined algorithms to predict and present the products or services consumers are most likely to be interested in.

    Encourage creative thinking about locations that can expedite customer goals more effectively. For example, introducing a recommendation widget on product detail pages (PDP) is an effective way to familiarize yourself with and assess basic personalization techniques. Recommendations on PDPs significantly contribute to direct revenue, sometimes representing 60-70% or more of a personalization program’s total effect. This success is attributed to the high traffic and lower funnel position of PDPs, where customer are more inclined to move ahead with purchase decisions, making it an ideal spot for product recommendations.

    Expand the placement of recommendation widgets or campaigns to other strategic areas such as the homepage, category pages, cart pages, navigation menus, and even overlays or popups. discover the most effective solutions for your business. New advances in natural language processing, personalization algorithms and image recognition have also led to more dynamic, interactive forms. Shopping Muse, for example, guides customers through large product catalogs from discovery to conversion, making shopping online feel like chatting with a friend.

    Read more about product recommendations. 

    The future of eCommerce: A personalized shopping experience

    Successful eCommerce brands know there is no better way to make an online customer feel special than through a personalized shopping experience that makes the customer feel connected to a brand. In these cases, sales and loyalty both increase. And while the way we shop online now seems like a natural extension of catalogues, the probability of looking for content via a website will be close to zero in as little as 50 years from now. This leads brands to experiment with different technologies to improve the customers’ shopping experience. There is enormous potential for retail in the metaverse to make online shopping more engaging, allowing customers to explore and discover in a way that more closely resembles the in-store shopping experience. However, with short attention spans, we can’t expect consumers to go to a Metaverse and spend thousands of hours looking for content. They will only spend time there if they’re continually provided with relevant experiences.

    Read more about why personalization is the key to optimizing the metaverse shopping experience.

    Omnichannel personalization

    Today’s consumers interact with a company across channels, perhaps browsing a site once, then clicking on an email, and later scrolling through a mobile app. These interactions should feel cohesive, and consumers expect companies to tailor these experiences, no matter the channel. Marketers can create omnichannel campaigns by delivering personalized experiences for each consumer throughout their journey, ensuring consistent and cohesive engagement.

    To deliver a cohesive, personalized customer experience across all channels, brands need to do three things:

    1. Establish a cohesive data set that establishes a complete 360-degree/single view of the customer. Vital information (e.g. real-time behavior on-site, online and offline conversion history, geography, product affinities and cross-device activity) must be able to flow freely throughout your marketing stack to maintain consistency and relevance in experiences from one channel to the next.
    2. Shift to APIs and the server-side approach to centralize decisioning, making it easier for teams to orchestrate and link all channels and devices.
    3. Identify strategic areas of opportunity by vetting channels and touchpoints to experiment with and using your data to inform decision-making.

    Learn more about omnichannel personalization.

    CRM personalization

    Complementing your omnichannel personalization platform data with Customer Relationship Management (CRM) data unleashes the true potential and value of what can be achieved when visitors arrive at your site. Onboarding your organization’s CRM data is an invaluable step towards 1:1 personalization, enabling you to target your visitors as efficiently and accurately as possible. This can be done with online behavioral data and any online or offline data available exclusively in your CRM.

    Learn more about CRM onboarding.

    Personalization infrastructure and tools

    Taking an individualized approach to marketing involves several moving parts, requiring brands to connect, consolidate, analyze, and activate their data to deliver highly targeted interactions. However, this can only happen when the following technological components are present at a personalization provider’s core (also called “personalization engine“).

    Personalization engine

    Personalization engines enable marketers to identify, deliver and measure the optimum experience for an individual customer or prospect based on their past interactions, current context and predicted intent.

    The critical capabilities of a personalization engine include:

    A unified dataset. The ability to collect and harmonize data from diverse sources is fundamental. This ensures a comprehensive understanding of customer interactions across various channels, such as web, app, and in-store. A unified dataset enables the creation of detailed audience segments, offers insights into audience behaviors, and highlights opportunities for targeted engagement.

    Open architecture. An engine with open architecture is essential for seamless integration with existing marketing technologies. This flexibility minimizes the need for extensive engineering work, speeds up the deployment process, and potentially lowers the overall costs associated with your marketing technology stack.

    Decisioning and activation logic. Look for a system that employs advanced analytics and machine learning to automate decision-making. This includes managing and optimizing a growing number of targeted experiences across various digital platforms, regions, and currencies. Effective decisioning and activation logic supports running intricate tests, setting up variations, triggering messages, and building segments, thereby enhancing operational efficiency, scalability, and ensuring personalized experiences for each customer.

    Employing the right personalization provider is incredibly important, ensuring initial marketing dollars are well spent, and results are generated in a sustainable, scalable fashion.

    Personalization API

    To build great digital experiences with more control and flexibility, robust Personalization APIs allow product managers and developers to run experiments, deploy deep-learning product recommendations, and confidently roll out features targeted for each user across all customer touchpoints.

    Server-side personalization

    While traditional client-side implementations call personalization from the browser via Javascript, server-side integration enables organizations to call the personalization service from within their proprietary technology stack before the page is rendered. As the web evolves, more organizations are making the switch from client-side A/B testing and personalization to server-side APIs for reasons including:

    1. Page load performance, eliminating flickering when elements are rendered.
    2. Data security, not exposing sensitive data in the browser when testing or personalizing.
    3. Integration with proprietary tech stacks
    4. Mitigating browser restrictions such as ITP and ad blockers
    5. Centralized IT control of site structure and modifications.
    6. Implementations beyond the web (in-store kiosks, mobile apps, etc.)

    Discover an in-depth analysis of the most important technical considerations when implementing A/B tests and campaigns with server-side testing and personalization, explained. Server-side solutions also help brands partake in cookieless personalization, allowing teams to deliver personalization via API using the same data but without third-party cookies—a contentious issue in the new era of data protection fueled by GDPR and privacy concerns.

    Taking the First Step Towards Personalization

    Now that you’ve explored the comprehensive world of personalization, you might be excited to unlock its potential for your business. Remember, personalization is a journey, not a destination. It’s about continuously learning, adapting, and evolving your approach based on data and insights.

    Ready to take the first step? We’re here to help! We offer services to guide you through personalization, from strategy development and implementation to ongoing optimization and testing. Submit a Request for Proposal (RFP) or Request for Information (RFI). Need help with drafting an RFP? Download our free Personalization RFP template.

    Common questions and answers

    What is personalization and why is it important?

    Personalization is the practice of tailoring experiences to individual users based on their behaviors, preferences, and past interactions. It’s crucial because it enhances customer satisfaction, increases engagement, and drives conversions by making users feel valued and understood.

    How does personalization differ from segmentation?

    While segmentation groups users based on shared characteristics, personalization goes a step further by dynamically adjusting content and experiences for each individual. Segmentation addresses the needs of a group, whereas personalization caters to the unique preferences of each user.

    What are the key benefits of implementing personalization?

    Personalization offers numerous benefits, including improved customer loyalty, higher conversion rates, and increased revenue. It also helps in delivering more relevant content, which enhances the overall user experience and satisfaction.

    What technologies are essential for effective personalization?

    Effective personalization relies on technologies like personalization engines, data management platforms, and machine learning algorithms. These tools help collect and analyze user data, predict user behavior, and deliver tailored experiences in real-time.

    How can businesses start implementing personalization strategies?

    Businesses can start by analyzing their customer data to identify key segments and behaviors. From there, they can use personalization engines to deliver tailored content and experiences, continuously testing and optimizing their strategies based on performance metrics.

    What are some common challenges in personalization and how can they be overcome?

    Common challenges include data privacy concerns, integration issues, and maintaining relevance. These can be overcome by ensuring compliance with data protection regulations, using robust integration tools, and continuously updating personalization strategies based on user feedback and behavior.

    What role does AI play in personalization?

    Artificial Intelligence (AI) plays a crucial role in personalization by analyzing vast amounts of data to identify patterns and predict user behavior. AI-driven algorithms can deliver highly relevant content and recommendations, continuously learning and improving from user interactions to refine personalization strategies.

    How can personalization be measured and optimized?

    Personalization can be measured through key performance indicators (KPIs) such as conversion rates, engagement metrics, and customer satisfaction scores. Continuous testing, such as A/B testing, and analyzing user feedback are essential for optimizing personalization strategies to achieve better results.