Personalization at scale is no longer aspirational — AI personalization and AI agents now enable brands to deliver individualized experiences across every channel in real time, making omnichannel personalization a practical reality rather than a theoretical goal.
Marketing leaders share their top tips and personalization best practices brands can use to create personal connections with customers.
In the modern marketplace, one that is fundamentally unpredictable and digital-first, delivering personalization at scale in marketing is no longer a nice-to-have, but something customers have come to expect from brands.
The reality is that consumers simply will not put up with static digital experiences anymore. Research consistently shows that customers are far more likely to become repeat buyers after a personalized shopping experience, but will lose their loyalty if brands deliver generic, un-personalized interactions.
Brands need to get up to speed on delivering personalization at scale. As of 2026, consumers expect seamless experiences across an ever-growing number of channels — and AI agents are making it possible for brands of all sizes to deliver on that expectation. However, many organizations still struggle to achieve true omnichannel marketing personalization, often due to fragmented data and disconnected tech stacks.
CDP.com talked to some leading personalization luminaries and trend-setters to uncover personalization best practices when delivering a modern, data-driven marketing strategy. Here is what we found — updated with the latest AI-era context.
Top 9 Personalization Best Practices
1. Create a Value Exchange
“Personalization creates value for customers and drives strong business performance. There is a value exchange between customers and businesses, whereby customers provide first-party data, which is then used to bring more personalized responses from the business thus driving profitable organic growth.” - Marianne Hewitt, Integrated Growth Solutions.
In 2026, this value exchange has become even more critical as privacy regulations tighten and third-party cookies have been deprecated. Brands that earn customer trust through transparent data practices unlock richer first-party data — which in turn fuels better AI personalization.
2. Build a Mutually Beneficial Relationship
“To me, offering quality personalization is about both buyers and sellers engaging in a mutually beneficial relationship. It is no longer about brands pushing messaging on a customer, but how a brand effectively offers value to customers by tailoring communications based on real-world user needs.” – Brian Carlson, RoC Consulting.
3. Communicate Effectively
“We are focused on expectation setting with digitally-centric customers. You want to make sure you have the ‘right’ information in your database, and you want to be certain that you are communicating effectively with your customers, all while acknowledging their help in growing your business.” - Jeanne Hopkins, OneScreen.AI.
4. Use Personalization to Drive Loyalty
“Sephora’s Beauty Insider is an example of serving up personalization at scale. Sephora’s loyalty program for its highest-level customers provides early access to new products, invitations to exclusive events. All company channels are updated with unified profile information. The use of triggered content has become commonplace.” -Marianne Hewitt, Integrated Growth Solutions.
Programs like these are increasingly powered by AI decisioning that determines the optimal offer, timing, and channel for each loyalty member — moving beyond static tier-based rules to dynamic, individualized engagement.
5. Collect and Integrate Buyer Data
“We require all sales team members and customer success team members to rate each interaction with a customer or prospect. We then review that information weekly in a ‘Smarketing’ (sales & marketing) meeting.” - Jeanne Hopkins, OneScreen.AI.
Collecting interaction data is the foundation, but the real advantage comes from unifying it. An Agentic CDP centralizes data from sales, marketing, support, and product interactions into a single customer profile — enabling AI agents to personalize based on the complete customer context, not just one team’s view.
6. Improve Key Metrics
“We have seen improvement in the following metrics due to personalization technology and tactics: Reduction of marketing costs; improvement in clickthrough rates; conversion rates; retention; number of service calls, and of course, CLTV.” Marianne Hewitt, Integrated Growth Solutions.
7. Set KPIs that Matter
“Customer lifetime value is considered a core KPI at our company. I cannot imagine any organization not considering it. However, in calculating this number you need more ramp to even out the lumpiness in data from the beginning. Growth brings challenges, and one of the more difficult challenges is having enough information to make better decisions.” - Jeanne Hopkins, OneScreen.AI.
8. Become a Data-Driven Marketer
“A data-driven marketer is integrating data in real time from all channels, blending in-store and online (including email), and plotting a journey that is personalized in multiple dimensions – including engagement in the channel of preference. Some enterprise-grade CDPs will engage in an omni-channel capacity.” - Marianne Hewitt, Integrated Growth Solutions.
In 2026, data-driven marketing has evolved into AI-driven marketing. Agentic marketing platforms don’t just integrate data — they autonomously act on it, orchestrating personalized customer journeys across channels without requiring manual campaign setup for every segment.
9. Get the Right Tech
“You are not going to be able to do serious personalization at scale in a global, enterprise environment without the right technology solutions for your applications and industry. You have to be able to manage customer data centrally, with a unified profile, so it can be used to affect the personalized experience effectively across all channels. Being able to do true omnichannel marketing personalization at scale means deploying a centralized data management platform, like a CDP, that will combine and deliver all that unified customer data to the applications that need it.” – Brian Carlson, RoC Consulting.
The technology landscape has evolved significantly since this advice was first shared. Today, the most effective approach is an Agentic CDP that doesn’t just unify data but embeds AI decisioning directly into the platform — enabling real-time personalization without requiring data to be exported to separate AI tools or messaging platforms.
Omnichannel Personalization Is Table Stakes
Brands can no longer get away with limited personalization that does not offer real value to a customer.
Bringing quality customer data together and using it to improve the omnichannel customer experience is a step every marketer must take. For many companies, deploying a customer data platform is the right way to unify and make sense of all that data. As of 2026, the leading CDPs go further — embedding AI agents and AI decisioning that transform unified data into autonomous, personalized customer experiences at scale. Finding the right technology platform is key to achieving personalization that truly differentiates your brand.
Learn more about what’s driving the future of personalization in marketing here.