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Mastercard Dynamic Yield

Email, SMS and push done right: A marketing leader’s guide to channel selection How Valamar engages travelers earlier with real-time booking context Gartner Recognizes Mastercard Dynamic Yield as an 8‑Time Leader in Personalization Engines— Mastercard Dynamic Yield 2026 Personalization Maturity: Disruption Is Redefining E-Commerce Success Modern customer journey orchestration: Latest capabilities, best practices and omnichannel strategies — Mastercard Dynamic Yield Saks Fifth Avenue Elevated Luxury With AI Personalization 2025 Personalization Maturity Report for E-commerce - ES — Mastercard Dynamic Yield 2025 Personalization Maturity Report for E-commerce - PT — Mastercard Dynamic Yield How to Drive More Subscribers to Your Mailing List: Proven Strategies for MarketersMastercard Dynamic Yield Reconnect by Mastercard Dynamic Yield: Smarter Customer Journey Orchestration Send-Time Optimization — Mastercard Dynamic Yield Channel Prioritization — Mastercard Dynamic Yield Real-Time Adaptation and Dynamic Optimization — Mastercard Dynamic Yield Post-click Experiences — Mastercard Dynamic Yield Search Ranking Optimization — Mastercard Dynamic Yield Visual Search — Mastercard Dynamic Yield Semantic Search — Mastercard Dynamic Yield How Bergzeit Increased Conversions 3x with Conversational AI Email Deliverability Best Practices: Reach the Inbox. Deliver the Experience. The enterprise guide to IP warming: Boost deliverability, ensure compliance, and power seamless journeys Visual Search Meets Multimodal AI: A New Era of Product Discovery Where human ingenuity fits in the AI-driven marketing era Infographic: The state of personalization maturity in e-commerce - 2025 AI and Personalization Are Revolutionizing E-commerce Search Transform product discovery with Experience Search: AI that understands your shoppers AI Fuels New Demands for Personalization — Is E-Commerce Maturing Fast Enough? From Fragmentation to Connection: Mastering User Identification for Personalization — Mastercard Dynamic Yield 2026 Personalization Maturity Report for E-commerce - PDF — Mastercard Dynamic Yield Add To Cart Recommendation Modal — Mastercard Dynamic Yield Shoppable Video Notification — Mastercard Dynamic Yield Dynamic Yield by Mastercard Recognized as a Leader by Gartner® and Forrester Leroy Merlin Gains 32% Purchases with ML Recommendations Conversational Commerce: Your Guide to This Market-Shifting Technology Your Global Test Could Be Limiting Your Personalization Growth — Mastercard Dynamic Yield Personalize with Empathy to Meet Evolving Customer Needs The Resource Constraints Blocking Banks’ Personalization Gain Steering by Data: How to Avoid Assumptions and Motivate Your Team — Mastercard Dynamic Yield AI and personalization can close the empathy gap between brands and their customers A Leader in the Gartner Magic Quadrant for Personalization - Dynamic Yield Black Friday Is Coming—Is Your Personalization Strategy Airtight? Personalization Blueprint Survey - Dynamic Yield by Mastercard How Personalization Fuels Success in Latin America's Digital Boom Signet Jewelers Sees 88% Conversion Lift from Personalization Solving Data Issues for Financial Services with Personalization — Mastercard Dynamic Yield How to Executive Reporting Can Help You Grow Your Personalization Program Breaking the personalization barrier for banks Bring the personal back to shopping this holiday season​ with Shopping Muse Dynamic Yield makes Personalization a Breeze for Issuer Dynamic Yield by Mastercard Is Making Personalization a Breeze for Banks How to Deliver a Less Frustrating Online Shopping Experience VIDEO: Banking's Personalization Revolution: Data-Driven Transformation Bunnings' Buyer Center Casas Bahia's Buyer Center Magalu's Buyer Center Carrefour's Buyer Center 3 Tips to Integrate GenerativeAI into Your Personalization Workflow — Mastercard Dynamic Yield TUI Cruises Sees 10.3% Uplift in Add to Cart from Personalization The Revenue Gains From Personalization That FIs Can’t Ignore Calling All UK Banks: Personalisation Is Crucial to Meeting the New Consumer Duty Mandate What Marketers Miss in the GenAI Discussion vidaXL's Buyer Center The 2 Breakthrough Technologies Driving Smarter Product Recommendations Fashion Retailers: Your Product Feed Needs Spring Cleaning, Too — Mastercard Dynamic Yield Tommy Hilfiger's Buyer Center G-Star Raw's Buyer Center Hunkemöller's Buyer Center Here's Why Your Customers Are Tuning You Out Intersport's Buyer Center How AI Is Ushering in the Future of Interactive Commerce Mastering Channel Prioritization: How to Optimize Re-Engagement with a Winning Strategy Clark's Buyer Center Optimized messaging for purchase completion Affinity-powered triggered messages - personalization use cases Anticipate customer's next best item - personalization use cases Charlotte Tilbury's Buyer Center Rituals' Buyer Center The Dynamic Duo of A/B Testing and Personalization Müller's Buyer Center Next's Buyer Center La Redoute's Buyer Center Why Gen Z Craves Personalized Restaurant Experiences The human advantage in the age of AI and personalization Sky Personalizes Subscription Management for Millions On Leverages Personalization to Build Community Build-A-Bear Workshop's Buyer Center Oak Furnitureland's Buyer Center Coach's Buyer Center The Perfect Match: Marry Your CMS and Personalization Systems for Customer Love 4 Signs You Need to Move Beyond Your ESP's Email Personalization Functionality Sainsbury's, meet Dynamic Yield Charles Tyrwhitt's Buyer Center Burberry's Buyer Center Personalization in QSR: The Possibilities You Didn’t Know Existed The State of Personalization Maturity in Grocery/CPG Chanel's Buyer Center Swarovski's Buyer Center Building the Right It: How “Pretotyping” Guides Product Decisions with Concrete Data The Power of a Primary Audience Strategy for Financial Services Similarity Badge — Mastercard Dynamic Yield How Deep Learning is Adding Predictive Personalization Prowess to User Affinity Profiling
The Core Insights from Personalization Pioneers Berlin 2023
Liz Steelman · 2023-11-06 · via Mastercard Dynamic Yield

The fourth and almost final Personalization Pioneers conference of the year took place on 25-26 October 2023 at Prince Charles and Alte Münze in Berlin, where international leaders in customer experience gathered to share and discover the most recent advancements, strategies, and trends in testing and personalization.

If you missed the opportunity to attend Personalization Pioneers Berlin, there’s no need to worry. Below, we’ve collated some of the most valuable lessons and insights from the day’s content programming (as well as via this key learnings report). And stay tuned for updates on 2024’s theme, dates, and locations towards the beginning of the new year.

1. AI will take your job… to space

During his keynote on “How to find your personalization edge,” Ori Bauer, CEO at Dynamic Yield by Mastercard, emphasized that despite the significant advancements in AI and its projected future progress, there exists a substantial opportunity for individuals to guide and manage the integration of AI within their professional roles as experience optimization leaders. Bauer highlighted the critical role of people in shaping AI, underlining that it will not replace jobs but propel them into new frontiers.

Moreover, he stressed that harnessing the power of AI for personalization remains one of the most effective tools for successfully navigating complex macroeconomic trends and meeting the evolving demands of today’s consumers, given its ability to both predict and adapt to their wants and needs.

AI will take your job to space

2. Global < local < personal

In his keynote on “How to achieve global localization through personalization,” Manuel Fernandez, D2C eCommerce Director at Electrolux, describes how the organization meets global goals while still capturing regional-specific nuances. The secret sauce? Team structure. A central personalization team defines the overarching strategy and global KPIs, executing campaigns at scale across the local markets. Dedicated, regional D2C (direct-to-consumer) teams sit in their respective countries and connect with the local customers to communicate needs and ideas, and then regional use cases are produced to satisfy local and global KPIs.

Centralized Localization with Electrolux

For example, the regional team in Germany highlighted that ‘Corporate Partners’ are significant drivers of traffic and revenue. Unlike most users on the homepage, ‘Corporate Partners’ aren’t looking for support, warranty, or repair services – they have a singular intent to buy. So, for users who access the homepage from a ‘Corporate Partner’ channel, commercially-focused content would be featured, like high-visibility recommendations and best-performing category highlights. Compared to the control group, this local and personal experience delivers an average of +4% uplift in average order value (AOV).

3. Segmentation for the multi-dimensional customer

Özgür Turhan, the Head of eCommerce & DTC at TUI Cruises, started his keynote on “How early segmentation can anchor successful personalization” by describing why the company invested in personalization. Not only would their diverse customer base respond better to personalized user journeys, but fostering a consumer-centric, data-driven culture offered an incredible opportunity for the business to evolve.

From the beginning, everyone at the company—from in-house marketing, CRM, and data analysts to those who dealt with the cuisine, accommodations, and excursions for the cruises—had a clear vision for its audience segments: ‘Solo Travelers,’ ‘Families,’ and ‘Couples/Empty Nesters.’

They decided this would be a good foundation for the company’s personalization journey. They centered their first tests around increasing engagement on the homepage, adjusting the banner to feature messages like “feel-good time for two” and “discover family travel.” By speaking directly to their core audiences, the brand experienced a 48% uplift in overall click rate.

Audience segmentation with TUI Cruises

Turhan said that with a general sense of their customers, TUI could use the data from their A/B testing efforts to adjust their strategy accordingly. For example, the organization knew there could be a considerable variation in what a cruise means to different people. This insight allowed them to experiment with mixing targeting conditions to include travel preferences (e.g. booking lead times, travel season, cabin type, and price point). By further refining and meeting their customer’s wants and needs in real-time, the brand achieved exponential success.

4. Ask questions, validate, and scale

In a keynote developed by Eliad Elkabetz, the Head of Product and Operations for Global eCommerce at SodaStream, “A sparkling strategy: Maximizing customer engagement and loyalty while minimizing business risk,” attendees got to hear about the brand’s successful approach to its 16 operational sites worldwide. In sum: A little engagement goes a long way in working towards recurring revenue generation.

The team uses an interactive, one-question pop-up quiz to segment new visitors upon arrival. By simply asking whether a visitor owns a SodaStream device, the brand can segment in real-time and guide users towards the best next experience, whether that’s machine discovery for first-time purchasers or flavor profile creation and personalized accessory product recommendations for returning users. Once a user shows loyalty, the website focuses on converting the user to its existing cylinder recycling service.

SodaStream personalization approach

This has created a revolutionary infrastructure for testing key business campaigns. Within its four priority market sites (which generate 80% of its online revenue), the SodaStream team asks the right questions, isn’t afraid to test their hypotheses, starts with a small amount of traffic and carefully allocates more to each tailored experience upon good results. These sites are used to fine-tune initiatives before deploying them across their 10 smaller markets, catalyzing growth and optimization in a scalable and secure manner.

5. Agility is one of your most important assets

The past few years were monumental for On; the brand was listed on NYSE, survived a supply chain crisis, and re-platformed with the launch of a brand new website. And in her keynote session, “Boosting On’s World of Sports with the Power of Personalization,” Lena Hauck, the company’s Digital Personalization Specialist, shared how building for agility allowed them to do all of this while continuing to expand its product catalog beyond shoes and rapidly grow the business.

Hauck walked through how On’s preliminary personalization approach started in 2018, and in the first year of implementation, product recommendations helped lead DTC to become ~15% of the overall business. As the brand grew, the team shifted focus to new customer acquisition and retention. In 2020, as the world shifted from offline to online, this continued to fuel On’s growth. While personalization helped the team adapt to the customer needs of a growing audience, the team faced new challenges at every turn: Popularity in 50+ locales meant they needed increased localization while lacking audience info. Their IPO meant they had more exposure to new clientele but with more significant risks of having a greater negative impact. Additionally, a catalogue expansion led to the team having to focus on helping new and returning consumers navigate the paradox of choice, plus cater to different audience segments.

On Running growth

Rather than stay the course, the business decided that it needed to set a better foundation for future, continued growth for both its eCommerce business and the larger brand. They set about launching a new, digital 24/7 flagship store built on agile infrastructure that they could use to constantly A/B test and learn more about their user’s wants and needs. Their new recommendation strategies centered around helping their customers see the brand beyond footwear: They could easily place product recommendations and content modules across the homepage, product detail pages (PDP) and product listing pages (PLPs), as well as at the cart, using them to highlight that customers could get everything they needed for a certain sporting activity at On. Then, to optimize these strategies, they A/B tested different algorithms to see which ones best suited their goals.

Learn more about On’s journey with personalization in this on-demand Talk

Catch up on this year’s tour

While this year’s Personalization Pioneers’ tour is coming to a close, you can review the latest trends, next-level tactics, high-impact use cases and methodologies featured from each 2023 installment’s recap: Los Angeles, London, NYC, Singapore (coming soon).