Latest news with #Amperity
Techday NZ
2 days ago
- Automotive
- Techday NZ
Drowning in data, starving for insights: Amperity experts reveal customer data challenges
Why organisations need to stop looking at their data as purely a technical asset and harness it for business growth The difference in the potential of data, customer data in particular, often lies in how organisations approach it. Too often, it is just seen as something to be managed rather than as an accelerator of business performance. This observation, and subsequent lessons on how to make more of customer data and harness it for business growth, was the topic of a presentation recently held at data and analytics professional event, CDAO Sydney. The session, held by Billy Loizou, Area Vice President for customer data cloud platform Amperity, as well as Amperity's APAC Solution Consulting Lead Sam Bessey, provided insights on treating customer data as the essential "fuel source" for modern business success. Every successful and performant person or enterprise is fuelled by something There is a foundational imperative to every success that often takes time, discipline, and effort to cultivate. Loizou sought to make a point about this by sharing some parallels across industries. Highlighting that he believes looking outside of one's own industry can prove beneficial, Loizou pointed to three examples where an underlying 'fuel' or benefit could inspire growth or change if correctly activated. For instance, one might look to NBA star LeBron James, Loizou suggested, and ask how it was possible that James, who is 40, is still playing in the NBA, has been twice named MVP, is a four-time NBA champion, and has played for 21 seasons, was still operating at peak performance. "He spends $1.5 million per year - 10% of his salary - on nutrition and fitness. He gets 10 hours of sleep per night. He's a believer in that the way he fuels his body impacts productivity and performance," Loizou said. "And it stands the test of time because there haven't been many number one draft picks that have lasted this long." Loizou then turned to the electric vehicle industry, noting that lithium batteries have changed the way performance is quantified, they are environmentally greener, and are selling well, with 114,000 sold in the past year. "$1 will get you three times further with an electric car than it will with petrol," Loizou said. "So if I said to a business leader, you can get three times return on your investment just by changing the fuel source, they would probably all jump and say, 'please help'." The third parallel Loizou referenced was the wine industry in the Hunter Valley. Boasting more than 150 wineries, it's one of the region's most effective wine markets. The Valley's success is not a coincidence of course. "It's the soil and the nutrients that fuels the ability to create market-leading wines," he said. The point being: fuel source matters, Loizou said. And in customer-facing businesses, customer data is the fuel; it's a foundational element that impacts performance and productivity. Taking a closer examination of maximising value from customer data Loizou said there were certain indicators organisations should track to understand how their customers relate to their brands. "The three most important metrics in the boardroom today are net profit, customer acquisition and revenue retention. You can't physically calculate these without customer data, it's physically in the equation," Loizou said. These metrics impact three key strategic imperatives: identifying the next best step to take for every customer, knowing who the right customers to acquire are, and knowing which customer relationships to maximise. "A lot of the CFOs we talk with today say, 'We don't need to get more customers. We need to keep the customers we have; we just need them to buy more profitable products because that's how you grow'," Loizou said. Loizou also addressed the common challenge of "drowning in data and starving for insights". The market is increasingly crowded, with a recent publication reporting that there are now 15,000 martech solutions available, most requiring some view of customer data. In such a busy space, understanding where to begin and which customer data to prioritise presents a significant challenge for many organisations. With various types of data available - profiles, transactions, behaviours, events, loyalty information - determining where to focus efforts becomes a crucial first step. Driving valuable insights from data Whether it's customer profiles, transactions, behaviours, events, loyalty data, or some other metric, it can be difficult to know exactly what to prioritise and how to start building valuable customer insights. During the presentation, Loizou and Bessey indicated three factors they believe to be the accelerators for extracting value from customer data. Those being: building around the data warehouse, identity resolution, and actionability. Speaking to the first factor, Bessey explained that getting value from data meant getting it out of the warehouse. Traditionally, he argued, organisations have relied on packaged solutions like CRMs and marketing tools that often create additional data silos. These solutions typically lack the tooling to connect directly with modern data infrastructure and require connectors to communicate with other systems in the organisation. While there has been a shift in recent years toward more modular, composable solutions that sit adjacent to or directly inside the warehouse, these approaches still present challenges. They often require significant time investment for data preparation and may not have all the necessary connectors to upstream and downstream systems. Bessey suggested a hybrid approach, combining the benefits of both models by building directly on the warehouse while providing business-friendly tools as a packaged solution. This approach enables organisations to leverage their existing data infrastructure while empowering non-technical users. "Better data leads to better results, giving you a more accurate and complete view of your customer," he said. "As a starting point, all the modeling, the insights, and analytics you're trying to drive in the business are that much more accurate as a result." The second accelerator, identity resolution, addresses a significant challenge for many organisations. According to Bessey, most customer data tools assume identity resolution has already been handled elsewhere, leaving organisations to tackle this complex problem themselves. When faced with multiple records for what might be the same customer, for example, three different records for an "Alex Reynolds", organisations typically resort to writing rules or code to try to resolve these identities. This approach is problematic not only because it requires significant technical resources, but because it's never fully complete. Amperity's approach to this challenge involves what they call a "technological stitch" - a patented methodology using 45 different algorithms to identify connections between customer records. The third accelerator, actionability, brought together the first two accelerator points to illustrate how organisations can turn unified customer data into practical business outcomes. Bessey emphasised that once organisations have extracted data from the warehouse and resolved identity challenges, the next critical step is making that information accessible and useful for business teams, not just technical specialists. "Rather than talking about the challenges or headwinds, let's talk about business outcomes," Bessey said. He outlined how unified customer data enhanced privacy compliance through better data lineage tracking, enabled more accurate AI model development, and improved marketing effectiveness through integrated platform connections. Accelerating for the win The message was clear: effectively managing customer data, nurturing it and accelerating value extraction will empower organisations and make them resilient to undulating market shifts, technological advancement and change while increasing their potential for growth and profitability. To learn more about harnessing customer data to fuel growth, click here to download the presentation
Yahoo
3 days ago
- Business
- Yahoo
Retailers Are All-In on AI - But Disconnected Data Threatens Progress
New Amperity report finds that while 45% of retailers use AI weekly, only 11% are prepared to scale it; CDPs are the clear differentiator SEATTLE, July 29, 2025--(BUSINESS WIRE)--Amperity, the leading AI-powered customer data cloud, today released its 2025 State of AI in Retail report, a new survey highlighting how retail businesses are rapidly embracing AI, but often lack the foundational data infrastructure needed to unlock its full potential. The survey of 1,000 retail professionals across marketing, IT, data and executive leadership reveals that 45% of retailers are already using AI daily or several times per week, and 97% plan to maintain or increase their AI investment in the coming year. However, only 11% say they're fully prepared to deploy AI tools at scale. "Retailers believe in AI's potential to drive loyalty and lifetime value — but belief alone won't close the gap between ambition and execution," said Tony Owens, CEO of Amperity. "What's needed is unified, actionable customer data - regardless of where it resides. With Amperity's patented identity resolution, retailers can unify data without moving it, transforming fragmented records into complete customer profiles that fuel AI and measurable business results." Customer-Facing AI: The Missed Opportunity While 63% of retailers believe AI will improve customer loyalty and 65% expect it to increase customer lifetime value, only 43% are currently using AI in customer-facing applications such as personalization, chatbots or tailored marketing experiences. In fact, just 23% are using AI in production to resolve customer identities or prepare data for marketing use, indicating significant untapped potential in customer engagement strategies. CDPs Are Accelerating AI Maturity Retailers with a customer data cloud (CDC) aren't just slightly ahead - they're moving at a different pace entirely: 60% of CDP-equipped retailers use AI daily or several times per week (vs. 29% without a CDP) 35% use AI in production to prepare data for marketing or analytics (vs. 9% without a CDP) 22% report full AI adoption across multiple business units (vs. 10%) These retailers are also far more confident in their ability to understand and act on customer behavior, reinforcing the CDP's role as a critical enabler of enterprise AI strategy. "This survey highlights a pivotal shift in retail: AI is moving decisively from experimentation to scaled execution. Retailers are leveraging AI to deliver more adaptive, personalized customer experiences powered by high-quality, unified customer data," said Tapan Patel, research director at IDC. "Retailers who integrate AI into core workflows—across supply chain, merchandising, and engagement—are setting the new standards for customer experience in an increasingly dynamic market." Data Gaps and Technical Barriers Persist Despite high levels of optimism, the report reveals several key barriers: 58% of respondents say their customer data is fragmented or incomplete 46% cite high costs of AI tools as a top challenge 35% note limited technical expertise Only 21% are "very confident" in their ability to understand and act on customer data. Amperity helps retailers close the gap between AI ambition and execution. By unifying fragmented customer data, resolving identities with precision, and making insights accessible across the business, Amperity gives retailers the AI-ready foundation they need to move faster and compete smarter. Built for enterprise scale and privacy-conscious activation, Amperity's Customer Data Cloud turns data into a growth engine—powering personalized experiences, smarter decisions, and measurable ROI. Get the full 2025 State of AI in Retail report to learn how leading retailers are using customer data to close the gap between AI potential and business results. About Amperity Amperity's Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models, and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Virgin Atlantic, Dr Martens, Wyndham Hotels & Resorts and Reckitt rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London, and Melbourne. For more information, visit or follow us on LinkedIn, X, Facebook and Instagram. View source version on Contacts Press Contact Andrea Mochermanpress@ +1 (206) 432-8302 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
3 days ago
- Business
- Business Wire
Retailers Are All-In on AI - But Disconnected Data Threatens Progress
SEATTLE--(BUSINESS WIRE)-- Amperity, the leading AI-powered customer data cloud, today released its 2025 State of AI in Retail report, a new survey highlighting how retail businesses are rapidly embracing AI, but often lack the foundational data infrastructure needed to unlock its full potential. "Retailers are leveraging AI to deliver more adaptive, personalized customer experiences powered by high-quality, unified customer data,' said Tapan Patel, research director at IDC. The survey of 1,000 retail professionals across marketing, IT, data and executive leadership reveals that 45% of retailers are already using AI daily or several times per week, and 97% plan to maintain or increase their AI investment in the coming year. However, only 11% say they're fully prepared to deploy AI tools at scale. 'Retailers believe in AI's potential to drive loyalty and lifetime value — but belief alone won't close the gap between ambition and execution,' said Tony Owens, CEO of Amperity. 'What's needed is unified, actionable customer data - regardless of where it resides. With Amperity's patented identity resolution, retailers can unify data without moving it, transforming fragmented records into complete customer profiles that fuel AI and measurable business results.' Customer-Facing AI: The Missed Opportunity While 63% of retailers believe AI will improve customer loyalty and 65% expect it to increase customer lifetime value, only 43% are currently using AI in customer-facing applications such as personalization, chatbots or tailored marketing experiences. In fact, just 23% are using AI in production to resolve customer identities or prepare data for marketing use, indicating significant untapped potential in customer engagement strategies. CDPs Are Accelerating AI Maturity Retailers with a customer data cloud (CDC) aren't just slightly ahead - they're moving at a different pace entirely: 60% of CDP-equipped retailers use AI daily or several times per week (vs. 29% without a CDP) 35% use AI in production to prepare data for marketing or analytics (vs. 9% without a CDP) 22% report full AI adoption across multiple business units (vs. 10%) These retailers are also far more confident in their ability to understand and act on customer behavior, reinforcing the CDP's role as a critical enabler of enterprise AI strategy. 'This survey highlights a pivotal shift in retail: AI is moving decisively from experimentation to scaled execution. Retailers are leveraging AI to deliver more adaptive, personalized customer experiences powered by high-quality, unified customer data,' said Tapan Patel, research director at IDC. 'Retailers who integrate AI into core workflows—across supply chain, merchandising, and engagement—are setting the new standards for customer experience in an increasingly dynamic market.' Data Gaps and Technical Barriers Persist Despite high levels of optimism, the report reveals several key barriers: 58% of respondents say their customer data is fragmented or incomplete 46% cite high costs of AI tools as a top challenge 35% note limited technical expertise Only 21% are 'very confident' in their ability to understand and act on customer data. Amperity helps retailers close the gap between AI ambition and execution. By unifying fragmented customer data, resolving identities with precision, and making insights accessible across the business, Amperity gives retailers the AI-ready foundation they need to move faster and compete smarter. Built for enterprise scale and privacy-conscious activation, Amperity's Customer Data Cloud turns data into a growth engine—powering personalized experiences, smarter decisions, and measurable ROI. Get the full 2025 State of AI in Retail report to learn how leading retailers are using customer data to close the gap between AI potential and business results. About Amperity Amperity's Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models, and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Virgin Atlantic, Dr Martens, Wyndham Hotels & Resorts and Reckitt rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London, and Melbourne. For more information, visit or follow us on LinkedIn, X, Facebook and Instagram.
Yahoo
14-07-2025
- Business
- Yahoo
Amperity Appoints Grigori Melnik as Chief Product Officer
Veteran technology leader brings decades of product innovation experience to accelerate Amperity's growth and platform strategy SEATTLE, July 14, 2025--(BUSINESS WIRE)--Amperity, the AI-powered customer data cloud, today announced the appointment of Dr. Grigori Melnik as chief product officer. A seasoned product executive with more than 25 years of experience leading platform innovation across high-growth startups and global enterprises, Dr. Melnik will lead Amperity's product strategy and execution during a period of rapid growth and industry transformation. "Grigori is an exceptional product leader who blends deep technical expertise with a clear vision for customer data," said Tony Owens, CEO of Amperity. "He knows how to build platforms that define categories — and he knows how to do it at enterprise scale. His arrival marks a new chapter for Amperity as we double down on innovation and continue helping the world's largest brands turn customer data into business growth." Dr. Melnik has held leadership roles at Microsoft, Splunk, MongoDB, Tricentis, and most recently Cribl, where he expanded the company's multi-product strategy and drove significant market growth. At Splunk, he helped grow the business to over $1 billion in annual revenue while building a robust developer ecosystem. Across all his roles, he has consistently driven product transformation, scaled teams, and delivered measurable impact. "I've spent my career building tools that empower technical teams to solve hard problems efficiently," said Dr. Grigori Melnik. "Amperity is doing exactly that — tackling one of the most complex challenges in the data space with the right mix of ambition, innovation, and customer obsession. I'm incredibly excited to join this talented team and help shape the next wave of product innovation for both our company and our valued customers." Dr. Melnik holds a Ph.D. in Computer Science from the University of Calgary and continues to contribute to academic research in software engineering and automation. He also serves as a board director and strategy advisor to startups and private equity firms including Insight Partners and Warburg Pincus. With this appointment, Amperity strengthens its executive bench to support an ambitious product roadmap and its continued leadership in the customer data platform market. About Amperity Amperity's Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Alaska Airlines, DICK'S Sporting Goods, BECU and Wyndham Hotels & Resorts, rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London and Melbourne. For more information, visit or follow us on LinkedIn, X, Facebook and Instagram. View source version on Contacts Press ContactAndrea Mochermanpress@ +1 (206) 432-8302
Techday NZ
14-07-2025
- Business
- Techday NZ
AI Appreciation Day: What it means for the future of customer engagement
In celebration of AI Appreciation day this year, we speak with marketing, technology, innovation, data and AI leaders to unpack what the next wave of innovations have in store for customer engagement, unlocking deeper insights and optimising great customer experiences. How innovative application of AI is solving fragmented data issues Customer data issues like fragmentation, poor quality and identity confusion have really hindered business and marketing performance over the years. According to Billy Loizou, APAC Area Vice President at Amperity, AI is now changing the equation by making sense of the data that already exists and unifying it accurately. "One of its biggest impacts we see lies in identity resolution. Instead of relying on rigid rules, AI can detect patterns across billions of records to unify customer profiles with far greater speed and accuracy. It reduces manual effort while improving precision," he explains. "AI also improves data quality by learning from the data itself, flagging inconsistencies, filling gaps and adapting to behavioral changes. This leads to more trustworthy, actionable datasets over time." Amperity recently launched its Identity Resolution Agent and Chuck Data, two AI-powered innovations designed to help enterprises unify customer records at scale and accelerate time-to-insight. The Identity Resolution Agent uses machine learning to dynamically match and merge fragmented customer data, while Chuck Data is an AI assistant that lives in the terminal and enables data engineers to build customer tables, resolve identities and tag PII using natural language prompts - without manual coding or orchestration. "Where data lives in disconnected systems, AI acts as a bridge, linking touchpoints across channels that traditional systems couldn't connect. It enables real-time personalisation by matching signals in the moment, not days later," Billy adds. Importantly, AI reduces the operational drag of data work. Teams can shift their focus from stitching data together to actually using it – turning a seemingly static infrastructure into a real-time strategic asset." Unlocking deeper customer insights and reporting with gen AI Another great example of gen AI deepening the impact of customer data insights and discovery for business is the latest innovations from Nexxen, a global, flexible advertising technology platform with deep expertise in data and advanced TV. They recently announced their newest advancement, nexAI: the introduction of generative artificial intelligence ("AI") to the Nexxen Data Platform, including a UI assistant within its proprietary insights tool Nexxen Discovery. With this advancement, nexAI enables clients to quickly turn complex consumer data into clear, actionable audience profiles and campaign planning for seamless activation. The integration of generative AI natively into Discovery allows users to generate polished, compelling audience reports - complete with brand share of voice, sentiment analysis, audience interests and strategic recommendations - based on just a few inputs. "The Nexxen Data Platform has always been powered by advanced machine learning to help our clients navigate the fragmented media landscape. With the introduction of generative AI and the nexAI Discovery assistant, we're taking that foundation to the next level - turning complex datasets into clear, strategic guidance in an instant," said Karim Rayes, Chief Product Officer, Nexxen. "This is about removing friction from the entire workflow, enabling advertisers and agencies to move from insights to activation faster, smarter and with greater confidence." "Our clients are continuing to lean into data and technology to navigate the fragmented media landscape, and nexAI meets this evolving need," said Karim Rayes, Chief Product Officer, Nexxen. "By integrating AI across our unified platform – and leveraging our existing data to inform these capabilities – we're not just adding features; we're fundamentally transforming the way campaigns are run and inventory is monetised." AI integral for optimising customer experiences Recent research from The Australian Loyalty Association (ALA) highlights the growing tension between personalisation expectations and customer comfort with data use: 46% of members expect brands to know their preferences - suggesting a gap between expectation and delivery. 58% are happy to share their data in exchange for more relevant offers. 53% remain concerned about the volume of data loyalty programs hold on them. 75% prefer communication via email, with only 35% open to texts - and just 68% wanting SMS used for urgent updates only. ALA Founder and Director Sarah Richardson says AI is undoubtedly a powerful agent of change in the loyalty ecosystem as it evolves to accelerate processes and customer experience outcomes, strengthen personalisation and shape wider strategic decision-making. "As AI tools become more sophisticated, the pressure is on loyalty leaders to stay informed about technology advancements to maintain their competitive edge. The 2025 event is set to provide loyalty professionals with practical guidance and fresh thinking during a pivotal moment for the industry, to better adapt to shifting consumer behaviours and cultivate lasting customer loyalty." So topical is the issue, that the ALA recently announced the future of retail AI, personalisation and customer loyalty will be the major topics of industry discussion and debate at its the upcoming 2025 Asia Pacific Loyalty Conference from 29–31 July 2025 at QT Resort, Gold Coast. Key themes will focus on disruption and innovation at every stage of the loyalty journey - from building a customer data strategy to designing seamless, value-led member experiences. Sessions will look at predictive analytics, machine learning, and how brands can harness new technologies while staying aligned to customer trust. Accelerating customer purchase journeys AI assistants According to Sangeeta Mudnal, Chief Technology Officer of pioneering GenAI platform Glu, AI-powered assistants from Google, Meta, and Perplexity are redefining how consumers engage with brands, creating an entirely new canvas for creative expression. These developments aren't merely technical innovations but rather a fundamental reimagining of the creative producer's role. In fact, Microsoft reports that its AI assistant Copilot has accelerated consumer purchase journeys by approximately 30%, while partnerships like OpenAI and Shopify's integration of purchasing within ChatGPT conversations hint at commerce experiences embedded directly in conversational flows. "As AI assistants increasingly mediate the relationship between brands and consumers, we're witnessing a profound shift in how creative work is conceptualised, produced, optimised, and delivered," Mudnal says. With the rapid rise of these industry trends platforms like are now showcasing a deep commitment to customer-centric innovation, while being dedicated to helping eCommerce merchants seamlessly adapt and thrive in this new era of AI-facilitated eCommerce. Are brands unlocking the true potential of AI innovation? It is clear that brands are moving quickly to adapt. But recent research suggests there is still enormous potential for brands to unlock the true power and potential of GenAI. According to the Digital, Marketing & eComm in Focus 2025 report, produced by digital, data and eCommerce advisory & consultancy Arktic Fox in collaboration with recruitment firm Six Degrees Executive: 59% of brands are experimenting with or scaling efforts around generative AI and AI more broadly to drive personalisation efforts. Half of brands are experimenting with GenAI for content generation, and almost a quarter (24%) are scaling up efforts. Nearly half (49%) of brands are experimenting with using AI for insights generation, with 19% scaling up. However the research revealed the opportunity for growth in the AI space remains considerable. Currently, more advanced levels of AI adoption are typically confined to larger companies. Just 13% of leaders believe their organisation is advanced in leveraging predictive analytics, with these mostly being brands with revenues in excess of $100 million. "While adoption is growing, most brands still face barriers to unlocking AI's full potential," says Teresa Sperti, Founder and Director at Arktic Fox. "Only 14% have a mature, unified customer view, despite it being a key investment area. Without strong data foundations, efforts to use AI for personalisation and experience delivery will fall short. "Based on what we are observing in market, AI utilisation is still being driven by efficiency based plays and whilst some brands are scaling their efforts more sophisticated use of AI | genAI for experience delivery is still an opportunity for most."
