Loading...

How the AI revolution is transforming the future of commerce

Published: September 10, 2024 by Experian Marketing Services

The widespread adoption of AI in commerce

Technology is pushing the boundaries of commerce like never before. Artificial intelligence (AI) is one of the primary driving technologies at the forefront of the commerce evolution, using advanced algorithms to revolutionize marketing and personalize customer experiences. As of 2024, AI adoption in e-commerce is skyrocketing, with 84% of brands already using it or gearing up to do so. 

This article explores the AI revolution coming to commerce, focusing on what makes AI a driving force for e-commerce in particular, and the ways it’s reshaping how businesses engage with consumers.

Understanding the AI revolution in commerce

AI is quickly reshaping commerce as we know it by democratizing access to sophisticated tools once reserved for large corporations, breaking down functional silos within organizations, and integrating data from multiple sources to achieve deeper customer understanding. It’s paving the way for a future where every brand interaction is uniquely crafted for the individual, powered by AI systems that anticipate preferences proactively. 

AI is a broad term that encompasses:

  • Data mining: The gathering of current and historical data on which to base predictions
  • Natural language processing (NLP): The interpretation of human language by computers  
  • Machine learning: The use of algorithms to learn from past experiences or examples to enhance data understanding

The capabilities of AI have significantly matured into powerful tools that can improve operational efficiency and boost sales, even for smaller businesses. They have also fundamentally changed how businesses interact with customers and handle operations. As AI continues to develop, it has the potential to provide even more seamless, personalized, and ethically informed commerce experiences and establish new benchmarks for engagement and efficiency in the marketplace.

Four benefits of the AI revolution coming to commerce

Major commerce players like Amazon have benefited from AI and related technologies for a while. Through machine learning, they’ve optimized logistics, curated their product selection, and improved the user experience. As this technology quickly expands, businesses have unlimited opportunities to see the same efficiency, growth, and customer satisfaction as Amazon. Here are four primary benefits of AI adoption in commerce.

1. Data-driven decision making

AI gives businesses powerful tools to analyze large amounts of data more quickly and accurately than a person. Through advanced algorithms and machine learning, AI can sift through historical sales data, customer behavior patterns, and market trends to uncover insights and suggest actions that might not be immediately obvious to human analysts. By transforming raw data into actionable insights, AI empowers businesses to make more informed decisions, reduce risks, and capitalize on opportunities. 
As a real-world example, Foxconn, the largest electronics contract manufacturer worldwide, worked with Amazon Machine Learning Solutions Lab to implement AI-enhanced business analytics for more accurate forecasting. This move improved forecasting accuracy by 8%, saved $533,000 annually, reduced labor waste, and improved customer satisfaction through data-driven decisions.

2. A better customer experience

AI is set to make customer interactions smoother, faster, and more personalized by recommending products based on preferences and behaviors, making it easier for customers to find what they need.

When consumers visit an online store, AI also provides instantaneous help via a chatbot that knows their order history and preferences. These AI-powered assistants offer real-time help like a knowledgeable store clerk. They give the appearance of higher-touch support and can answer basic questions at any hour, provide personalized product recommendations, and even troubleshoot issues. Chatbots free up human customer service agents for more complicated matters, and these agents can then use AI to obtain relevant information and suggestions for the customer during an interaction.

3. Personalized marketing

Data-driven personalization of the customer journey has been shown to generate up to eight times the ROI, as data shows 71% of consumers now expect personalized brand interactions. Until AI came around, personalization at scale was complex to achieve. Now, gathering and processing data about a customer’s shopping experience is easier than ever based on lookalike customers and past behavior.

Many businesses have adopted AI to glean deeper insights into purchase history, web browsing, and social media interactions to drive better segmentation and targeting. With AI, advertisers can analyze behavioral and demographic data to suggest products someone is likely to love. Consumers can now browse many of their favorite online stores and see product recommendations that perfectly match their tastes and needs. 

AI can also offer special discounts based on purchasing habits, and send personalized emails with products and content that interest customers to make their shopping experience more engaging and relevant. This personalization helps businesses forge stronger customer relationships.

Personalization across digital storefronts

Retail media involves placing advertisements within a retailer’s website, app, or other digital platform to help brands target consumers based on their behavior and preferences within that environment. Retail media networks (RMNs) expand this capability across multiple retail platforms to create seamless advertising opportunities throughout the customer journey.  Integrating AI into RMNs can improve personalization across digital storefronts with personalized, relevant ads and custom offers in real time that improve the customer experience.

4. Operational efficiency

AI can also be beneficial on the back end, enabling more efficient resource allocation, pricing optimization, efficiency, and productivity.

Customers can be frustrated when they visit a store for a specific product only to find it out of stock or unavailable in a particular size. With AI, these situations can be prevented through algorithms that forecast demand for certain items. Retailers like Amazon and Walmart both use AI to predict demand, with Walmart even tracking inventory in real time so managers can restock items as soon as they run out. 

AI can automate and streamline operational tasks to help businesses run smoother, faster, and more cost-effective operations. It can:

  • Offload tedious data entry, scheduling, and order processing tasks for greater fulfillment accuracy. 
  • Analyze historical data and market trends, predicting demand to help businesses optimize inventory, reduce waste, track online and in-store sales, and prevent shortages.
  • Forecast demand levels, transit times, and shipment delays to make better predictions about logistics and supply chains.
  • Improve data quality using machine learning algorithms that find and correct product information errors, duplicates, and inconsistencies.
  • Adjust prices based on competitor pricing, seasonal fluctuations, and market conditions to maximize profits.
  • Pinpoint bottlenecks, identify issues before they escalate, and provide improvements for suggestions.

Future trends and predictions

If you want to stay ahead in e-commerce, it’s just as important to know what’s coming as it is to understand where things are today. Here are some of the trends expected to shape the rest of 2024 and beyond.

Conversational commerce

Conversational commerce allows real-time, two-way communication through AI-based text and voice assistants, social messaging apps, and chatbots. Generative AI advancements may soon enable more seamless, personalized interactions between customers and online retailers. This technology can improve customer engagement and satisfaction while providing helpful insights into preferences and behaviors for better personalization and targeting.

Delivery optimization

AI-driven delivery optimization uses AI to predict ideal routes for each individual delivery, boosting efficiency, reducing costs, promoting sustainability, and improving customer satisfaction throughout the delivery process.

Visual search

AI-driven visual search is quickly improving in accuracy, speed, and contextual understanding. Future developments may integrate seamlessly with augmented reality (AR) so shoppers can search for products by pointing their devices at physical objects. Social media and e-commerce platforms may soon incorporate visual search more prominently, allowing users to find products directly from images.

AI content creation

AI is already automating and optimizing aspects of content production:

  • Algorithms can generate product descriptions, blog posts, and social media captions personalized to specific customer segments. 
  • AI tools also enable the creation of high-quality visuals and videos. 
  • NLP advancements ensure content is compelling and grammatically correct. 
  • AI-driven content strategies analyze consumer behavior and refine messaging to meet changing preferences and trends.

This automation speeds up content creation while freeing resources for strategic planning and customer interaction.

IoT integration

Integrating AI with Internet of Things (IoT) devices could help make the ecosystem more interconnected in the future. AI algorithms can use data from IoT devices like smart appliances, wearables, and sensors to gather real-time insights into consumer behavior, preferences, and product usage patterns. This data enables personalized marketing strategies, predictive maintenance for products, and optimized inventory management. AI-driven IoT data analytics can also streamline supply chain operations to reduce costs and inefficiencies.

Fraud detection and security

There will likely be an increased focus on the ethical use of AI and data privacy regulations to strengthen consumer trust and transparency. AI-powered systems will get better at detecting and preventing fraud in e-commerce transactions, which will heighten security measures for both businesses and consumers.

Chart the future of commerce with Experian

AI has changed how marketers approach e-commerce in 2024. With AI-driven analytics and predictive capabilities, marketers can extract deeper insights from extensive data sets to gain a clearer understanding of consumer behavior. This enables refined segmentation, precise targeting, and real-time customization of messages and content to fit individual preferences.

Beyond insights, AI automates routine tasks like ad placement, content creation, and customer service responses, freeing marketers to concentrate on strategic planning and creativity. Through machine learning, marketers can predict trends, optimize budgets, and fine-tune strategies faster and more accurately than ever. The time to embrace AI is now. 

At Experian, we’re here to help you make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Using AI in your commerce marketing strategy with our Consumer View and Consumer Sync solutions can help you stay competitive with effective, engaging campaigns. 

Contact us to learn how we can empower your commerce advertising strategy today.


Latest posts

Loading…
Five takeaways from Cannes Lions 2024

It’s been one week since the highly anticipated Cannes Lions 2024—the event of the year for advertising and creativity. We are excited to present our top five takeaways from the event, revealing the industry's priorities for the year ahead. Navigating the post-cookie era One of the pivotal discussions at Cannes Lions 2024 centered around signal loss and identity resolution. The industry is grappling with the impact of third-party cookie deprecation, driving a move toward alternative identifiers such as Unified I.D. 2.0 (UID2) and ID5, and contextual targeting. This shift aims to uphold accurate audience targeting while addressing privacy concerns through authenticated forms of identity. Brands and agencies are actively exploring these new strategies to replace traditional cookie-based methods with stable, privacy-compliant solutions. First-party data providers are also seeking data onboarding solutions to navigate this transition. They need streamlined integration processes, comprehensive ID-matching capabilities, and transparent pricing structures. Fortified by our roots in offline data and significant investments in our Graph, and our newest offering, Third-Party Onboarding, you can count on Experian's solutions to maintain strong signal coverage in a cookieless world so you can have uninterrupted, effective marketing. Unifying targeting across TV platforms Another focal point at Cannes Lions 2024 was the challenge of navigating TV fragmentation. Advertisers strive for unified targeting across diverse TV platforms, including connected TV (CTV) and traditional linear TV. They emphasize integrating data sources and ad servers to reach audiences across these platforms. CTV continues to stand out in conversations as a crucial and expanding area for advertising, offering new opportunities for targeted campaigns and broader audience engagement. We're fueling the expansion of CTV advertising through our signal-agnostic Graph, which seamlessly integrates CTV IDs, universal identifiers such as UID2, IP addresses, and mobile ad IDs (MAIDs) for targeted campaigns. Our newest offering, Third-Party Onboarding, also provides connectivity to more than 10 TV destinations. Transforming marketing with AI We would be remiss not to mention the hottest topic at Cannes Lions 2024, the transformative power of AI within data and identity. Discussions highlighted AI's pivotal role in revolutionizing marketing strategies by enhancing campaign planning, dynamic optimization, measurement, and analytics. AI is not just a tool; it enables marketers to work smarter and faster. With real-time data enrichment, AI will empower marketers to manage large-scale campaigns with unprecedented efficiency and precision. Marketers envision a future where AI seamlessly integrates into every aspect of their strategy, from understanding and predicting consumer behavior to automating personalized engagement. They see AI as the key to unlocking new levels of precision and efficiency, allowing them to adjust real-time campaigns based on consumer interactions and preferences. This vision includes using AI for deeper audience insights, ensuring that every marketing touchpoint is relevant and impactful. Striving for strategies for proven ROI Discussions on measurement at Cannes Lions 2024 focused on how measurement metrics are evolving to keep pace with industry changes. Cross-device, multi-touch attribution, and outcome-based metrics like consumer lifetime value and conversion rates are becoming more important. Accurate measurement is critical for demonstrating campaign impact and optimizing future marketing efforts.  These developments reflect a shift toward more sophisticated measurement practices to optimize marketing strategies and prove tangible ROI. Through our Consumer Sync solutions, you can improve your attribution quality to understand the true path to conversion by linking all digital touchpoints to a single person. Creating integrated consumer experiences with retail media networks Retail media networks (RMNs) are becoming more integrated and connected. Their goal is to provide consumers with a unified online and physical store experience and create a comprehensive marketplace where retailers can work together and use shared data to better reach and engage with their audiences. "Throughout the conversations, it's been clear that there's a lot of demand and interest in building and growing retail media networks. What strikes me is that Experian products, both across identity and data, can be a big support to help grow and fill in these gaps."budi tanzi, vp, product Discussions at Cannes Lions 2024 emphasized how collaborations with technology providers and industry groups can help set measurement standards and ensure transparency. These partnerships can enable RMNs to expand their reach and compete with larger advertising platforms, driving industry growth and innovation. Experian offers comprehensive solutions for RMNs. Our Profile Insights and Enrichment tools offer valuable customer behavior insights, driving smarter inventory management. We enhance ad targeting beyond item-level purchases with accurate data and syndicated audiences, aligning with broader media strategies. Third-Party Onboarding enables expansion beyond owned and operated inventory, supported by our Graph for enhanced connectivity. "Data providers are excited to eliminate digital hops in their data flow using Experian Third-Party Onboarding. Third-Party Onboarding is uniquely set up to reduce friction for third-party data and the ecosystem in general."adam kobus, director of data partnerships Experian events at Cannes Lions 2024 This year, we hosted a kick-off happy hour, content studio, and members of our team joined various panels across the Croisette. Here’s a recap of our week at Cannes. Experian's kick-off event with Audigent and LG Ad Solutions To kick off the week, we co-hosted a happy hour with Audigent and LG Ad Solutions. At our sold-out event, attendees enjoyed a live performance from St. Lucia. Content studio We interviewed 27 thought leaders across the industry in our content studio. Our interviews covered topics like:• Signal loss• Connected and linear TV• Data collaboration• Future of addressability and personalization• Retail media networks• And more We'll be sharing more from our content studio over the coming months. Follow us on LinkedIn or sign up for our email newsletter for the latest updates. Panel participation The Experian team participated in four panels throughout the week across the Croisette: Scott Kozub, VP, Product Management, joined the Brand Innovators panel, "Future of media,” where he discussed how media companies can adapt their content and distribution strategies to cater to changing consumption habits as media becomes more fragmented across devices and platforms. Kimberly Gilberti, Chief Product Officer, joined OpenX's panel, "Unlocking addressability: Navigating the post-cookie era,” to discuss the prevailing strategies for achieving addressability in a cookieless world. Budi Tanzi, VP, Product, participated in Audigent's panel, "Curation in regulated industries,” where they talked about why curation is effective in regulated markets like finance and health. Rachael Donnelly, Chief Marketing Officer, joined The Female Quotient in the Equality Lounge for their panel "Emotional agility: Leading beyond the double standard," where they explored the power of diverse storytelling and its impact on audience engagement, brand building, and the bottom line. Let's keep the momentum going As we wrap up another exciting week at Cannes Lions, the discussions have shown us the potential for innovation in signal loss, TV fragmentation, AI, measurement, and retail media networks. These topics pave the way for a more connected future in advertising. Which trends are you most excited about? Let’s continue the conversation! Reach out to us, and let's dive deeper into these topics together. Stay connected We understand that customers may be experiencing uncertainty with their marketing strategies with Oracle’s exit from advertising. Experian is one of Oracle’s primary data providers powering their audiences. We can help marketers easily make the switch from Oracle audiences to Experian audiences without changes in advertising effectiveness or efficiency. We have mapped Oracle audiences to Experian audiences to make it easy for you to switch your campaign targeting to Experian. Reach out to your account representative or our audiences team for information about audience mapping and finding the most relevant Experian audience for your campaigns. Connect with our audiences team Latest posts

Jun 27,2024 by Hayley Schneider

How Cuebiq increased match rates amidst signal loss using Activity Feed

Cuebiq’s mission, as an offline intelligence and measurement company, is to deliver the most accurate and reliable insights on how digital marketing efforts impact offline consumer behavior. This case study shows how Cuebiq, despite signal loss, partnered with Experian to continue delivering in-store lift analyses. To achieve this, Cuebiq used Experian’s Activity Feed to resolve digital ad exposures to in-store purchases, so that marketers could know the effectiveness of their clients’ media campaigns. Activity Feed helped Cuebiq increase its match rates by using all the identifiers supported in Experian’s signal-agnostic Digital Graph, reducing its reliance on third-party cookies. By partnering with Experian, Cuebiq could help their clients, marketers, more accurately measure their campaigns and optimize their media.    What is Activity Feed? Experian’s Activity Feed pulls together fragmented digital event data from all digital channels, including browsers like Safari and Firefox that restrict traditional tracking methods. Activity Feed ingests and ties this digital ad exposure data to household or individual profiles hourly, helping clients associate that data to offline purchase activity made by that household or individual. Activity Feed plays a crucial role in overcoming fragmented data and helping marketers accurately measure their cross-channel marketing efforts.  Challenge: Increasing match rates across digital platforms Cuebiq wanted to enhance how well they connect digital ad exposures, across web, mobile and connected TV (CTV) to specific mobile ad IDs (MAIDs), of those who visited clients’ stores. They needed a single technology partner who could collect data across these environments and improve these connections, especially as iOS updates, like iOS 14.5, posed potential challenges.  With the ability to resolve exposures to households, individuals, and MAIDs to then facilitate attribution of digital exposures to offline store visitation, Cuebiq could continue to provide accurate reports on how online ads impact offline consumer behavior. This clarity in data enables their clients to fine-tune their marketing strategies. Cuebiq’s key objectives included: Resolving digital exposures to MAIDs  Increasing overlap of offline and online data   Improving the effectiveness of offline measurement offerings  Activity Feed: The solution to increase match rates Cuebiq used Activity Feed to resolve data from cookieless environments like Safari to a single household or individual and saw significantly higher match rates. Cuebiq was able to track cross-channel media exposures, resolve them to MAIDs, and then use the Activity Feed output to correlate in-store visitation and sales to their clients’ media campaigns. Cuebiq also implemented the Experian pixel, which they placed to track all their marketers’ impressions (mobile, CTV, web traffic, etc.). The Experian pixel collects information in real-time, such as:   Timestamp Cookies Device ID (MAID/CTV) when available IP address User-Agent Impression ID “Before we started working with Experian, we couldn’t fully maximize ad views across the complex digital landscape. In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.” Luca Bocchiardi, Director of Product, Cuebiq Results Activity Feed combines separate data streams and matches them back to a household. This enables Cuebiq to expand household IDs and accurately identify MAIDs that are seen in-store for cross-channel measurement. Over a 21-day period, Cuebiq passed ~1 billion events to Experian. Activity Feed resolved 85% of total events to a household, 91% of which were tied to MAIDs.   By implementing Activity Feed, Cuebiq was successfully able to: Gain clearer insights into the success of their client‘s campaigns  Match consumer engagements in a privacy-compliant manner Tell the story of the key performance indicators (KPIs) related to their marketing efforts  Prepare for a cookieless future with higher match rates Activity Feed is prepared for a cookieless future and uses alternative IDs, like ID5 IDs, hashed emails, and IPs for identity resolution, ensuring no reliance on third-party cookies. Experian remains fully committed to exploring a suite of next-generation solutions and prioritizing continued testing of different industry solutions, including the Google Privacy Sandbox, to help customers prepare for a future without cookies. We’ve identified six viable alternatives to third-party cookies, how these alternatives fall short, and how Experian can help you navigate these alternatives.   “Experian’s customer service is extremely efficient and collaborative. We trust them to keep putting our business first long-term.”Luca Bocchiardi, Director of Product, Cuebiq Download the full case study to discover how Cuebiq used Activity Feed to overcome their challenges. Your path to maximizing match rates and resolving data from cookieless environments starts here. Download the full case study About Cuebiq Cuebiq is transforming the way businesses interact with mobility data to providing a high-quality and transparent currency to map and measure offline behavior. They are at the forefront of all industry privacy standards, establishing an industry-leading data collection framework, and making it safe and easy for businesses to use location data for innovation and growth. To learn more, visit their website at www.cuebiq.com Latest posts

Jun 26,2024 by Lucy Simmonds

Experian’s Graph unlocks a suite of next-generation data-driven advertising solutions

Today, Experian announced a suite of next-generation solutions that will help marketers navigate the challenges of cookie deprecation. Powered by the Experian Graph, these solutions will enable marketers to maintain behavioral targeting at scale. In partnership with Audigent, Experian announced the early-stage limited availability of Experian Audiences inside the Privacy Sandbox through the Protected Audiences API. Experian has also co-developed, with Audigent, an AI-driven contextual targeting solution layered with Experian’s rich Experian Marketing Data to continue delivering marketers scale and performance from their campaigns. Finally, Experian continues to evolve its signal-agnostic Graph, including coverage for industry-leading universal IDs, and plans to support IPv6 and phone-based UID2s. With these solutions, marketers can confidently deliver behavioral targeting after cookie deprecation and benefit from the power of Experian Marketing Data in their contextually targeted campaigns. As the industry prepares for ongoing signal loss and tightened privacy regulations, these solutions and further investments in Experian's identity Graph ensure Experian continues to power data-driven advertising and achieves the needs of modern marketers: addressable advertising, cross-device targeting, and measurement. Experian’s Graph allows marketers to target audiences in Privacy Sandbox via Audigent Building off Audigent’s work with Privacy Sandbox, Experian and Audigent tested the scale of Experian audience data in Privacy Sandbox and found that over 15 days, they were able to match audiences to over 150M Chrome browsers in the US. This solution – now in alpha – is powered by Experian’s Graph, leveraging an array of identifiers, including hashed emails and Hadron IDs. While the scale of targetable users and ad opportunities is still growing with the adoption of Privacy Sandbox by publishers and SSPs, the results are strong and provide a real-life illustration of how advertisers will be able to reach audiences in this new environment. “As the industry’s leader in building Interest Group segments in PAAPI, Audigent is thrilled to see world-class data partners like Experian work with us to build innovative solutions that deliver value now and will be absolutely critical as third-party cookies are deprecated in 2025.”DREW STEIN, FOUNDER AND CEO, AUDIGENT Data-driven contextual targeting is available through partnerships with Audigent and Peer39 As marketers prepare for cookie deprecation, they are turning to tried and true methods of targeting, like contextual, as they offer targeting strategies based on content and behavior instead of user identity. Experian is co-developing ID-less solutions that upgrade contextual targeting by intelligently indexing and infusing Experian’s rich Experian Marketing Data against contextual signals. By using these products, advertisers gain the ability to reach their audiences with a new and improved solution that delivers scale, performance, and value. We have beta launched a unique solution with Audigent that indexes Experian syndicated audiences against contextual signals through the power of the Experian Graph and Audigent’s Hadron ID to create PMPs that can be activated on any DSP. As part of the beta, a leading national advertiser ran a test via Audigent to see if this fully cookieless solution could deliver results at parity or better than today's ID-based options. The scaled 15-day flight not only met existing campaign delivery targets but also exceeded CTR goals by 25%. Experian has also partnered with Peer39 to make our geo-indexed syndicated audiences (e.g., Purchase Affinity and Demographic data) available through Peer39's contextual integrations. This allows marketers to confidently reach the right audiences in their digital marketing campaigns without third-party cookies. Experian's Graph now includes leading Universal IDs With the ever-changing nature of signal and identity, we’re continuing steps to be interoperable, and Experian's signal-agnostic Graph now supports the leading universal IDs: UID2s, ID5 IDs, and Hadron IDs. This is in addition to hashed e-mails, mobile ad IDs, and Connected TV IDs. Our strong coverage against cookieless identifiers means marketers will maintain addressable advertising as the Graph continues resolving data back to consumers and households in a privacy-centric way. In addition to providing greater breadth and depth of signals to reach US consumers, Experian's Graph is rebuilt weekly, which means our connections are highly accurate, refreshed, and addressable. “Experian is a valued partner in Nexxen's unified identity graph powering the Nexxen data platforms, which bring us the ability to seamlessly onboard client data, activate campaigns, and measure performance while maximizing biddable opportunities for our advertisers. They help ensure our clients can continue reaching audiences at scale and successfully execute campaigns.”Chance Johnson, Chief Commercial Officer, Nexxen Investments planned over the next year continue to ensure a Graph resilient to signal loss As connected TV (CTV) viewing continues to dominate, the importance of being able to match to IPv6 increases. Later this year, we’ll add support for IPv6 in our Graph as well as phone-based UID2s. This is in addition to our current coverage of IPv4 and email-based UID2s. As a result, all IP signals and UID2s will be resolved back to Experian’s household and individual profiles and their associated devices, which means marketers and platforms can better understand the full customer journey and reach people across their devices. Experian’s toolkit of cookieless solutions maintains addressability and ensures marketers can continue to do privacy-safe behavioral targeting at scale As the industry braces for the challenges posed by signal loss and evolving regulation, the unparalleled breadth, depth, and stability of Experian’s Graph empowers our partners across the ad tech ecosystem to confidently achieve their objectives and navigate uncertainty. What are you waiting for? Fill out the form to begin testing one of these cookieless solutions Get started About the author Budi Tanzi, VP of Product and Solution Engineering, Experian Marketing Services Budi Tanzi is the Vice President of Product at Experian Marketing Services, overseeing all Identity Products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible. Latest posts

Jun 13,2024 by Budi Tanzi

Subscribe to our newsletter

Enter your name and email for the latest updates

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

About Experian Marketing Services

At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

Visit our website

Subscribe to our newsletter

Stay up to date on the latest industry news and receive expert tips from our marketing experts.
Subscribe now!