How Can Customer Data Platforms Help Your Business?

An event used to be judged largely by whether everything happened on time. The venue was ready, speakers arrived and attendees made it through registration. Those basics still matter, but they no longer tell the whole story. Organisations now expect events to create a reason for people to show up and remember what happened afterwards. Event management has consequently grown into a broader discipline covering planning, audience engagement, technology, content, logistics, measurement and post-event communication. For European businesses, it is becoming an important part of how brands build relationships, share knowledge and bring customers, employees and partners together. The wider business events market reflects that importance. New research from the Events Industry Council and Oxford Economics found that business events generated US$1.3 trillion in direct spending globally in 2025 and supported US$1.8 trillion in global GDP. The research also recorded 1.65 billion participants across more than 180 countries. The scale of the industry is significant, but event managers are still working under tighter scrutiny. Budgets remain under pressure while attendees have become more selective about how they spend their time. That is pushing event teams to think more carefully about the experience they create. The Experience Matters More Than the Schedule People can watch presentations online, download reports and connect through digital platforms without leaving their desks. An in-person event has to offer something those channels cannot easily reproduce. That is creating more interest in interactive formats, smaller group discussions, immersive environments and experiences that encourage participation rather than passive listening. Recent European event industry research points to a similar shift, placing greater emphasis on attendee engagement, flexibility and measurable impact. “Event managers are increasingly designing around what attendees should experience rather than simply filling a timetable.” Event managers are increasingly designing around what attendees should experience rather than simply filling a timetable. A strong agenda still matters, but the spaces between sessions, quality of conversations and ease of participation can influence whether an event succeeds. Human connection has also become more valuable. Technology can make registration faster and content easier to access, but it cannot fully replace the conversations that happen when people meet in the same room. AI Enters the Event Workflow Artificial intelligence is moving into practical areas of event management. Organisers are using it to support registration, attendee communications, content creation, audience segmentation and post-event analysis. AI is increasingly being treated as part of the event workflow rather than an experimental feature. Personalisation is one useful application. Different attendees can have very different reasons for attending the same event. A customer may want product information, an executive networking opportunities, and an employee learning and collaboration. Data can help event teams respond to those differences. Registration information, session choices, engagement patterns and post-event feedback can create a clearer picture of what audiences value. There is a limit, however. Personalisation becomes counterproductive when it makes an event feel overly automated. AI can manage information and reduce repetitive work, but the experience still needs human judgement, creativity and empathy. Measurement Becomes Part of the Brief Event management is also becoming more accountable. Organisations increasingly want evidence that an event delivered something beyond attendance numbers. That might mean stronger customer relationships, qualified leads, employee engagement, knowledge transfer or useful conversations between partners. The appropriate measure depends on the event’s purpose, making it important to define that purpose early in the planning process. This is also changing how event technology is evaluated. Registration software, audience platforms and analytics tools are no longer useful simply because they collect large amounts of data. Their value depends on whether teams can turn that information into better decisions. Post-event engagement is another area receiving attention. A conference does not necessarily end when attendees leave the venue. Recordings, content, follow-up communications and digital communities can extend its value and create a longer relationship with the audience. Flexibility Is Becoming a Competitive Advantage Event planners are dealing with less predictable attendance and greater pressure on budgets. That is encouraging more flexible approaches to venue selection, event formats and production. Hybrid elements can help extend reach, while modular spaces can allow organisers to adapt to changing attendance. The goal is not to make every event hybrid or technology-heavy, but to build enough flexibility into the design to respond when circumstances change. Sustainability is becoming part of that conversation as well. Reusable materials, smarter travel planning, waste reduction and more efficient production can reduce the environmental impact of events without making sustainability the entire focus. The stronger approach is to make responsible choices part of the planning process from the beginning rather than adding them after the main decisions have been made. The Next Phase of Event Management Event management is moving towards a model that combines technology with a stronger understanding of people. AI will take on more repetitive work. Data will help teams personalise experiences and measure outcomes. Flexible formats will make events easier to adapt. None of that changes the basic reason people attend events. They want useful information, meaningful conversations and experiences worth their time. For European organisations, that makes event management a more strategic function. The strongest teams will be those that understand the commercial purpose behind an event and translate that purpose into an experience people genuinely value. The future will not belong to events with the most technology or biggest production budgets. It will belong to events that know why people are there, make good use of technology and give attendees something they could not have gained by simply staying behind a screen ...Read more

Marketing teams can buy more automation without improving the decisions that consume the budget. Paid media platforms already automate bidding and audience expansion, yet those systems still work from the signals available to them. The harder buying question is whether an AI marketing platform improves those signals before money is committed. For large B2C marketers, that means distinguishing areas with real customer potential from places that may produce cheap traffic but weak acquisition. A platform should be judged on how precisely it can turn existing customer patterns into usable targeting decisions. Useful AI also has to fit the business it supports. Generic models can shorten setup, but they may flatten differences in product mix and customer behavior across geographies. Custom modeling matters when the platform can train against a company’s commercial context without turning implementation into a long data project. Buyers should examine the data burden and time to campaign use, then confirm whether the output fits familiar media tools. The practical test is not model sophistication by itself. It is whether marketers can act on the result before campaign priorities change. Personalization becomes harder once the customer journey moves beyond acquisition. Recommendation systems often perform well for known customers because purchase history or prior engagement supplies a useful signal. New visitors expose the weakness. Little behavioral history leaves conventional recommenders with less to work from just when the business is paying to acquire attention. Marketing technology should be able to supplement that missing context rather than fall back to broad offers. The same principle applies to cross-sell activity, where poorly matched outreach can exhaust audience attention while adding cost. “Holisticrm uses anonymized location profiles enriched with earth observation and gis data to direct campaign spending toward areas that resemble a company’s strongest customer concentrations.” Privacy changes the design choice rather than simply adding a compliance checkpoint. Location intelligence can sharpen targeting, but buyers need to know whether that precision depends on identifiable customer data. Aggregated or anonymized inputs offer a different risk profile when the objective is to learn which areas resemble strong customer concentrations. This distinction matters for teams that want finer geographic targeting without building campaigns around individual identity. It also affects how easily a model can be reused across markets where data rules or internal controls differ. Measurement should stay close to the budget decision. Click volume can improve while acquisition economics remain weak, so executive review should focus on whether targeting lowers waste and increases the number of customers produced from a fixed spend. The same discipline applies to recommendations. Engagement metrics matter when they show that more relevant offers improve commercial response. A credible platform should make those links visible enough for marketing leaders to compare modeled targeting against a control group and judge whether the added intelligence is paying for itself. HolistiCRM fits this buying logic because it builds customer-specific AI models instead of applying one model across accounts. It uses anonymized location profiles enriched with Earth observation and GIS data to direct campaign spending toward areas that resemble a company’s strongest customer concentrations. Its BeSpatial.AI service, developed through work with the European Space Agency, supports location-based digital targeting. The recommendation engine addresses cross-sell decisions and new visitors where behavioral history is limited. Model generation is partly automated, bringing model delivery to about two weeks. This gives marketing teams a practical path from customer data to media allocation without relying on identifiable personal data for location targeting. ...Read more

In today’s fragmented media landscape, consumers interact with brands across numerous digital and physical touchpoints. As a result, maintaining a cohesive and impactful brand message has become essential. The rise of the creator economy, driven by authentic influencer voices, adds both complexity and richness to this environment. The solution lies in Integrated Marketing Services Platforms (IMSPs), which act as a crucial link between influencer marketing and broader brand strategies, enabling organizations to achieve measurable and scalable outcomes. Integrated Marketing Services Platforms: The Unifying Solution IMSPs represent a strategic evolution in the way brands plan, execute, and measure their marketing efforts. Far more than influencer databases, these platforms serve as comprehensive ecosystems that unify the diverse elements of a brand’s marketing mix—paid, owned, and earned media—into a cohesive, data-driven framework. Their primary purpose is to harmonize communication, ensure message consistency across channels, and deliver measurable business outcomes. At the core of IMSPs lies the ability to synchronize the three foundational pillars of modern marketing. In Paid Media, IMSPs integrate advertising efforts with creator-led campaigns to achieve precision and scale. Rather than operating in silos, paid initiatives such as display, social, or search ads are seamlessly aligned with creator content. This enables the transformation of high-performing creator posts into Whitelisted Ads that extend reach and credibility. Furthermore, the platforms connect cost, reach, and performance metrics in real time, providing a unified view of ROI and enabling data-informed optimization. In the realm of Owned Media, IMSPs reinforce brand consistency and control. They allow marketers to repurpose Creator-Generated Content (CGC) across websites, blogs, newsletters, and organic social channels, ensuring a unified brand voice while maintaining authenticity. Centralized asset management ensures all creative elements—from logos to messaging—remain aligned across touchpoints, minimizing brand drift and enhancing every consumer interaction. Digital Brew , an innovator in digital marketing solutions, demonstrates the effectiveness of IMSPs in maintaining brand consistency. They were awarded the Animated Explainer Video Production Company of the Year by MarTech Outlook for their ability to seamlessly integrate CGC across platforms while enhancing engagement and brand coherence. When it comes to Earned Media, IMSPs emphasize authenticity and trust. Using AI-driven analytics, these platforms evaluate creators beyond surface-level metrics such as follower counts, focusing instead on audience relevance, engagement quality, and brand fit. This data-led vetting process safeguards credibility and ensures alignment with brand values. IMSPs streamline relationship management—from outreach and briefing to contracting and payments—fostering sustainable, long-term partnerships that drive authentic advocacy, the cornerstone of earned media. Delivering Cohesive, Measurable, and Scalable Outcomes The true power of Integrated Marketing Services Platforms lies in the holistic outcomes they enable. Cohesion is achieved by unifying strategy, execution, and assets within a single environment, ensuring every consumer touchpoint—whether a TikTok ad, a blog article, or an influencer post—echoes a consistent brand narrative. Measurability is enhanced as the platforms dissolve traditional data silos, integrating metrics across paid, owned, and earned channels. This unified attribution approach allows marketers to trace the journey of an earned mention that drives traffic to an owned landing page and is reinforced by paid retargeting—delivering a complete, cross-channel view of marketing ROI. Scalability transforms influencer marketing from a one-off tactic into a continuous, strategic growth engine. By automating creator discovery, contracting, content approval, and multi-channel distribution, IMSPs empower brands to scale campaigns efficiently, making creator collaboration a cornerstone of modern marketing success. IMSPs are foundational to the future of brand building, shifting the focus from simply running campaigns to creating a unified, trustworthy, and continuous customer experience in which the genuine voice of the creator amplifies the brand's strategic vision. ...Read more

Europe's digital advertising is becoming more responsive, as businesses look to connect with relevant audiences more effectively and enhance the performance of campaigns. As consumers behave in ways that are less predictable, advertisers are striving to go beyond broad targeting and manual adjustments of their campaigns. Automated tools help review audience interactions and tailor advertising strategies as per performance. The change has prompted companies to use more creative messaging along with better technology that enables them to make more informed advertising decisions. Why Are European Advertisers Adopting Automated Growth Strategies? A smart and automated ads growth platform empowers advertisers to run their ad campaigns more effectively by leveraging data to target and optimise their ad campaigns. Marketers can let automated systems determine which audience patterns are helpful and which ones need changes, eliminating the need to make manual adjustments to each campaign. These features enable teams to focus on generating creative concepts and let technology take care of repetitive optimisation tasks. Advertising systems are increasingly improving their ability to analyse interactions across digital channels to target audiences with greater precision. Knowing where and how users browse, as well as their previous reactions, can help advertisers target users who are more likely to react to specific ads. By being more targeted, spending can be saved, and campaigns made more relevant. There is also an increased focus on creative optimisation. Automated systems can analyse various editions of ads and determine which strategies are more effective in driving engagement. Marketers can then tweak headlines, images and CTAs to suit the actual audience reactions better. While technology can help recognise performance patterns, creativity is still essential as it can't replace a well-defined brand message and customer needs. How Is Technology Improving Advertising Performance across Europe? AI is driving the growth of digital advertising platforms. AI is increasingly pushing the boundaries of digital advertising. Machine learning models can analyse extensive campaign data to reveal patterns that marketing teams might overlook. Analysis like this can be used to inform if and when ads should be shown, who to target and where to invest campaign funds. Real-time optimisation is also becoming more and more popular. Automated systems can react when there is a change in audience behaviour and adjust the settings of the campaign without constant human intervention. This reactiveness can assist advertisers in controlling shifting involvement levels and keeping better control of campaign performance. Predictive analytics is also aiding marketers in planning campaigns in a better way. Systems can analyse past performance data and predict potential audiences for upcoming ads. This information can help to make better budget decisions and also help to minimise the guesswork in campaign planning. ...Read more